diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md index 0af62e04..7c49d14d 100644 --- a/.github/pull_request_template.md +++ b/.github/pull_request_template.md @@ -23,16 +23,15 @@ Please describe the tests that you ran to verify your changes. Provide instructi - [ ] Test B **Test Configuration**: -* Python version: -* Operating System: +- Python version: +- Operating System: ## Reviewers @mention individuals who you specifically want to involve in the discussion for this pull request and mention why they are needed in the discussion/why they are needed to review the pull request. - -## Checklist: +## Checklist - [ ] My code follows the style guidelines of this project - [ ] I have performed a self-review of my own code diff --git a/.github/release.yml b/.github/release.yml index 3c3a8a8e..4e8b9054 100644 --- a/.github/release.yml +++ b/.github/release.yml @@ -25,4 +25,4 @@ changelog: - title: 🏥 Package Health labels: [pkg] - title: 🤷‍♂️ Other Changes - labels: ["*"] \ No newline at end of file + labels: ["*"] diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 47cc59fa..53fffcda 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -7,7 +7,6 @@ on: - master jobs: - qa: runs-on: ubuntu-latest steps: @@ -19,31 +18,28 @@ jobs: strategy: fail-fast: false matrix: - python-version: ["3.9","3.10","3.11","3.12"] - os: [ubuntu-latest,macos-latest,windows-latest] - + python-version: ["3.9", "3.10", "3.11", "3.12"] + os: [ubuntu-latest, macos-latest, windows-latest] + runs-on: ${{matrix.os}} steps: - - uses: actions/checkout@v4 - - name: Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v5 - with: - python-version: ${{ matrix.python-version }} - - name: Install dependencies - run: | - python -m pip install --upgrade pip wheel setuptools - pip install -e . - pip install pytest-cov - - name: Run tests and collect coverage - run: python -m pytest --cov=smact --cov-report=xml -v - - name: Upload coverage reports to CodeCov - uses: codecov/codecov-action@v4 - with: - token: ${{ secrets.CODECOV_TOKEN }} - #files: ./coverage.xml - fail_ci_if_error: False - env_vars: OS,PYTHON - verbose: true - - - + - uses: actions/checkout@v4 + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v5 + with: + python-version: ${{ matrix.python-version }} + - name: Install dependencies + run: | + python -m pip install --upgrade pip wheel setuptools + pip install -e . + pip install pytest-cov + - name: Run tests and collect coverage + run: python -m pytest --cov=smact --cov-report=xml -v + - name: Upload coverage reports to CodeCov + uses: codecov/codecov-action@v4 + with: + token: ${{ secrets.CODECOV_TOKEN }} + #files: ./coverage.xml + fail_ci_if_error: False + env_vars: OS,PYTHON + verbose: true diff --git a/.github/workflows/combine-prs.yml b/.github/workflows/combine-prs.yml index 635e50f2..bf718b57 100644 --- a/.github/workflows/combine-prs.yml +++ b/.github/workflows/combine-prs.yml @@ -1,25 +1,25 @@ -name: 'Combine PRs' +name: "Combine PRs" # Controls when the action will run - in this case triggered manually on: workflow_dispatch: inputs: branchPrefix: - description: 'Branch prefix to find combinable PRs based on' + description: "Branch prefix to find combinable PRs based on" required: true - default: 'dependabot' + default: "dependabot" mustBeGreen: - description: 'Only combine PRs that are green (status is success)' + description: "Only combine PRs that are green (status is success)" required: true default: true combineBranchName: - description: 'Name of the branch to combine PRs into' + description: "Name of the branch to combine PRs into" required: true - default: 'combine-prs-branch' + default: "combine-prs-branch" ignoreLabel: - description: 'Exclude PRs with this label' + description: "Exclude PRs with this label" required: true - default: 'nocombine' + default: "nocombine" # A workflow run is made up of one or more jobs that can run sequentially or in parallel jobs: @@ -115,7 +115,7 @@ jobs: core.setFailed('Failed to create combined branch - maybe a branch by that name already exists?'); return; } - + let combinedPRs = []; let mergeFailedPRs = []; for(const { branch, prString } of branchesAndPRStrings) { @@ -133,7 +133,7 @@ jobs: mergeFailedPRs.push(prString); } } - + console.log('Creating combined PR'); const combinedPRsString = combinedPRs.join('\n'); let body = '✅ This PR was created by the Combine PRs action by combining the following PRs:\n' + combinedPRsString; @@ -148,4 +148,4 @@ jobs: head: '${{ github.event.inputs.combineBranchName }}', base: baseBranch, body: body - }); \ No newline at end of file + }); diff --git a/.github/workflows/publish-to-pypi.yml b/.github/workflows/publish-to-pypi.yml index d795e484..605a0649 100644 --- a/.github/workflows/publish-to-pypi.yml +++ b/.github/workflows/publish-to-pypi.yml @@ -3,7 +3,7 @@ name: Publish SMACT distributions to PyPI on: push: tags: - - 'v*' + - "v*" jobs: build-n-publish: diff --git a/.gitignore b/.gitignore index 5b73a91e..8ce2ecee 100644 --- a/.gitignore +++ b/.gitignore @@ -224,4 +224,4 @@ $RECYCLE.BIN/ *.swp -*.bak \ No newline at end of file +*.bak diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 43b843b9..dce35611 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -1,23 +1,67 @@ repos: - - repo: https://github.com/timothycrosley/isort - rev: "5.12.0" - hooks: - - id: isort - additional_dependencies: [toml] - args: ["--profile", "black", "--filter-files", "--line-length=80"] - - repo: https://github.com/psf/black - rev: "23.1.0" - hooks: - - id: black-jupyter - args: [--line-length=80] - - repo: https://github.com/asottile/pyupgrade - rev: v3.3.1 - hooks: - - id: pyupgrade - args: [--py38-plus] - - repo: https://github.com/nbQA-dev/nbQA - rev: "1.8.7" - hooks: - - id: nbqa-pyupgrade - additional_dependencies: [pyupgrade==3.3.1] - args: [--py39-plus] + - repo: https://github.com/astral-sh/ruff-pre-commit + rev: v0.6.1 + hooks: + # Run the linting tool + - id: ruff + types_or: [python, pyi] + args: [--fix] + # Run the formatter + - id: ruff-format + types_or: [python, pyi] # TODO: Fix notebooks to remove this + - repo: https://github.com/pre-commit/pre-commit-hooks + rev: v4.6.0 + hooks: + - id: check-yaml + - id: end-of-file-fixer + - id: trailing-whitespace + - repo: https://github.com/igorshubovych/markdownlint-cli + rev: v0.41.0 + hooks: + - id: markdownlint + # MD013: line too long + # MD024: Multiple headings with the same content + # MD033: no inline HTML + # MD041: first line in a file should be a top-level heading + # MD025: single title + args: + [ + --ignore, + "dev_docs/design_docs/*", + --disable, + MD013, + MD024, + MD025, + MD033, + MD041, + "--", + ] + - repo: https://github.com/pre-commit/mirrors-prettier + rev: v4.0.0-alpha.8 + hooks: + - id: prettier + args: [--write] # edit files in-place + additional_dependencies: + - prettier + - repo: https://github.com/kynan/nbstripout + rev: 0.7.1 + hooks: + - id: nbstripout + args: [--drop-empty-cells, --keep-output] + - repo: https://github.com/codespell-project/codespell + rev: v2.3.0 + hooks: + - id: codespell + stages: [commit, commit-msg] + args: [--toml, pyproject.toml] + additional_dependencies: + - tomli + - repo: https://github.com/RobertCraigie/pyright-python + rev: v1.1.376 + hooks: + - id: pyright + args: [--level, error] + - repo: https://github.com/adamchainz/blacken-docs + rev: 1.18.0 + hooks: + - id: blacken-docs diff --git a/.readthedocs.yaml b/.readthedocs.yaml index 723ca6ca..51fa3128 100644 --- a/.readthedocs.yaml +++ b/.readthedocs.yaml @@ -1,15 +1,15 @@ version: 2 build: - os: "ubuntu-20.04" + os: "ubuntu-22.04" tools: - python: "3.8" + python: "3.10" # Build documentation in the docs/ directory with Sphinx sphinx: - configuration: docs/conf.py + configuration: docs/conf.py # Explicitly set the version of Python and its requirements python: install: - - requirements: docs/requirements.txt \ No newline at end of file + - requirements: docs/requirements.txt diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 72982003..3c620271 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -4,7 +4,7 @@ This is a quick guide on how to follow best practice and contribute smoothly to ## Workflow -We follow the [GitHub flow](), using +We follow the [GitHub flow](https://docs.github.com/en/get-started/using-github/github-flow), using branches for new work and pull requests for verifying the work. The steps for a new piece of work can be summarised as follows: diff --git a/README.md b/README.md index 3b53c7f3..d3ac3f2c 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -[![DOI](http://joss.theoj.org/papers/10.21105/joss.01361/status.svg)](https://doi.org/10.21105/joss.01361) +[![DOI](https://joss.theoj.org/papers/10.21105/joss.01361/status.svg)](https://doi.org/10.21105/joss.01361) [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5553202.svg)](https://doi.org/10.5281/zenodo.5553202) [![Documentation Status](https://readthedocs.org/projects/smact/badge/?version=latest)](http://smact.readthedocs.org/en/latest/?badge=latest) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) @@ -12,96 +12,94 @@ [![codecov](https://codecov.io/gh/WMD-group/SMACT/branch/master/graph/badge.svg?token=UtgVxjoYNP)](https://codecov.io/gh/WMD-group/SMACT) ![PyPI - Downloads](https://img.shields.io/pypi/dm/smact) -SMACT -===== +# SMACT **Semiconducting Materials from Analogy and Chemical Theory** (SMACT) is a collection of rapid screening and informatics tools that uses data about chemical elements. -- **Documentation:** https://smact.readthedocs.io/en/latest/ -- **Examples:** https://github.com/WMD-group/SMACT/tree/master/examples +- **Documentation:** +- **Examples:** -![](SMACT.png) +![A blue interface with the text "SMACT v3" at the top. Below that, there is a label "Materials Search" followed by two radio buttons: "Hi-fi" and "Lo-fi". The "Lo-fi" button is currently selected](SMACT.png) -*If you torture the data enough, nature will always confess* - Roland Coase (from 'How should economists choose?') +_If you torture the data enough, nature will always confess_ - Roland Coase (from 'How should economists choose?') -Statement of need --------- -There is a strong demand for functional materials across a wide range of technologies. The motivation can include cost reduction, performance enhancement, or to enable a new application. We have developed low-cost procedures for screening hypothetical materials. This framework can be used for simple calculations on your own computer. SMACT follows a top-down approach where a set of element combinations is generated and then screened using rapid chemical filters. It can be used as part of a multi-technique workflow or to feed machine learning models for materials. +## Statement of need -![](smact_simple.gif) +There is a strong demand for functional materials across a wide range of technologies. The motivation can include cost reduction, performance enhancement, or to enable a new application. We have developed low-cost procedures for screening hypothetical materials. This framework can be used for simple calculations on your own computer. SMACT follows a top-down approach where a set of element combinations is generated and then screened using rapid chemical filters. It can be used as part of a multi-technique workflow or to feed artificial intelligence models for materials. + +![A gif depicting using the SMACT code. The first lines of code show how SMACT can be used to access properties of Iron (Fe) by create an Fe Element object and then accessing the oxidation states, pauling electronegativity. The next line after these shows the use of the smact_filter function for the Fe-Cu-O chemical system followed by the lists of possible compositions. ](smact_simple.gif) + +## Getting started -Getting started ------ Features are accessed through Python scripts, importing classes and functions as needed. -The best place to start is looking at [the docs](https://smact.readthedocs.io/en/latest/), which highlight some simple examples of how these classes and functions can be used. -Extended examples are available in [our examples folder](https://github.com/WMD-group/SMACT/tree/master/examples). +The best place to start is looking at [the docs](https://smact.readthedocs.io/en/latest/), which highlight some simple examples of how these classes and functions can be usede +Use cases are available in our [examples](https://github.com/WMD-group/SMACT/tree/master/examples) and [tutorials](https://github.com/WMD-group/SMACT/tree/master/tutorials) folders. + +## Code features -Code features --------- -- At the core of SMACT are [Element](https://smact.readthedocs.io/en/latest/smact.html#smact.Element) and [Species](https://smact.readthedocs.io/en/latest/smact.html#smact.Species) (element in a given oxidation state) classes that have various properties associated with them. +- At the core of SMACT are [Element](https://smact.readthedocs.io/en/latest/smact.html#smact.Element) and [Species](https://smact.readthedocs.io/en/latest/smact.html#smact.Species) (element in a given oxidation state) classes that have various properties associated with them. - Oxidation states that are accessible to each element are included in their properties. -- Element compositions can be screened through based on the heuristic filters of charge neutrality and electronegativity order. This is handled using the [screening module](https://smact.readthedocs.io/en/latest/smact.screening.html) and [this publication](https://www.cell.com/chem/fulltext/S2451-9294(16)30155-3) describes the underlying theory. An example procedure is [outlined in the docs](https://smact.readthedocs.io/en/latest/examples.html#neutral-combinations) and more examples can be found in the [counting examples subfolder](https://github.com/WMD-group/SMACT/tree/master/examples/Counting). +- Element compositions can be screened through based on the heuristic filters of charge neutrality and electronegativity order. This is handled using the [screening module](https://smact.readthedocs.io/en/latest/smact.screening.html) and [this publication]() describes the underlying theory. An example procedure is [outlined in the docs](https://smact.readthedocs.io/en/latest/examples.html#neutral-combinations) and more examples can be found in the [counting examples subfolder](https://github.com/WMD-group/SMACT/tree/master/examples/Counting). -- Further filters can be applied to generated lists of compositions in order to screen for particular properties. These properties are either intrinsic properties of elements or are calculated for compositions using the [properties module](https://smact.readthedocs.io/en/latest/smact.properties.html). For example: - - A use case is shown in [this publication](https://pubs.rsc.org/en/content/articlehtml/2018/sc/c7sc03961a), in which 160,000 chemical compositions are screened based on optical band gap calculated using the [solid-state energy scale](https://www.sciencedirect.com/science/article/pii/S0022459615300888). +- Further filters can be applied to generated lists of compositions in order to screen for particular properties. These properties are either intrinsic properties of elements or are calculated for compositions using the [properties module](https://smact.readthedocs.io/en/latest/smact.properties.html). For example: + + - An application is shown in [this publication](https://pubs.rsc.org/en/content/articlehtml/2018/sc/c7sc03961a), in which 160,000 chemical compositions are screened based on optical band gap calculated using the [solid-state energy scale](https://www.sciencedirect.com/science/article/pii/S0022459615300888). - The [oxidation_states module](https://smact.readthedocs.io/en/latest/smact.oxidation_states.html) can be used to filter out compositions containing metals in unlikely oxidation states according to [a data-driven model](https://pubs.rsc.org/en/content/articlelanding/2018/fd/c8fd00032h#!divAbstract). -- Compositions can also be filtered based on sustainability via the abundance of elements in the Earth's crust or via the [HHI scale](https://pubs.acs.org/doi/10.1021/cm400893e). +- Compositions can also be filtered based on sustainability via the abundance of elements in the Earth's crust or via the [HHI scale](https://pubs.acs.org/doi/10.1021/cm400893e). - Compositions can be converted for use in Pymatgen or for representation to machine learning algorithms ([see "next steps" in this example](https://github.com/WMD-group/SMACT/blob/master/examples/Counting/Generate_compositions_lists.ipynb)) and the related [ElementEmbeddings](https://github.com/WMD-group/ElementEmbeddings) package. -- The code also has tools for manipulating common crystal lattice types: +- The code also has tools for manipulating common crystal lattice types: - Certain structure types can be built using the [builder module](https://smact.readthedocs.io/en/latest/smact.builder.html) - Lattice parameters can be estimated using ionic radii of the elements for various common crystal structure types using the [lattice_parameters module](https://smact.readthedocs.io/en/latest/smact.lattice_parameters.html). - The [lattice module](https://smact.readthedocs.io/en/latest/smact.lattice.html) and [distorter module](https://smact.readthedocs.io/en/latest/smact.distorter.html) rely on the [Atomic Simulation Environment](https://wiki.fysik.dtu.dk/ase/) and can be used to generate unique atomic substitutions on a given crystal structure. - - The [structure prediction](https://smact.readthedocs.io/en/latest/smact.structure_prediction.html) module can be used to predict the structure of hypothetical compositions using species similarity measures. + - The [structure prediction](https://smact.readthedocs.io/en/latest/smact.structure_prediction.html) module can be used to predict the structure of hypothetical compositions using species similarity measures. - The [dopant prediction](https://smact.readthedocs.io/en/latest/smact.dopant_prediction.html) module can be used to facilitate high-throughput predictions of p-type and n-type dopants of multicomponent solids. -List of modules -------- -* **smact** library containing: - * **\_\_init\_\_.py** Contains the core `Element` and `Species` classes. - * **data_loader.py** Handles the loading of external data used to initialise the core `smact.Element` and `smact.Species` classes. - * **screening.py** Used for generating and applying filters to compositional search spaces. - * **properties.py** A collection of tools for estimating useful properties based on composition. - * **lattice.py** Given the sites, multiplicities and possible oxidation states +## List of modules + +- **smact** library containing: + - **\_\_init\_\_.py** Contains the core `Element` and `Species` classes. + - **data_loader.py** Handles the loading of external data used to initialise the core `smact.Element` and `smact.Species` classes. + - **screening.py** Used for generating and applying filters to compositional search spaces. + - **properties.py** A collection of tools for estimating useful properties based on composition. + - **lattice.py** Given the sites, multiplicities and possible oxidation states at those sites, this reads from the database and generates all possible stoichiometries. - * **builder.py** Builds some common lattice structures, given the chemical + - **builder.py** Builds some common lattice structures, given the chemical composition. - * **lattice_parameters.py** Estimation of lattice parameters for various lattice types using covalent/ionic radii. - * **distorter.py** A collection of functions for enumerating and then + - **lattice_parameters.py** Estimation of lattice parameters for various lattice types using covalent/ionic radii. + - **distorter.py** A collection of functions for enumerating and then substituting on inequivalent sites of a sub-lattice. - * **oxidation_states.py**: Used for predicting the likelihood of species coexisting in a compound based on a statistical model. - * **structure_prediction**: A submodule which contains a collection of tools for facilitating crystal structure predictions via ionic substitutions - * **dopant_prediction**: A submodule which contains a collections of tools for predicting dopants. + - **oxidation_states.py**: Used for predicting the likelihood of species coexisting in a compound based on a statistical model. + - **structure_prediction**: A submodule which contains a collection of tools for facilitating crystal structure predictions via ionic substitutions + - **dopant_prediction**: A submodule which contains a collections of tools for predicting dopants. + +## Requirements -Requirements ------------- The main language is Python 3 and has been tested using Python 3.9+. Basic requirements are Numpy and Scipy. -The [Atomic Simulation Environment](https://wiki.fysik.dtu.dk/ase) (ASE), [spglib](http://atztogo.github.io/spglib), and [pymatgen](https://pymatgen.org) are also required for many components. +The [Atomic Simulation Environment](https://wiki.fysik.dtu.dk/ase) (ASE), [spglib](http://atztogo.github.io/spglib), and [pymatgen](https://pymatgen.org) are also required for many components. + +## Installation -Installation ------------- The latest stable release can be installed via pip which will automatically set up other Python packages as required: - pip install smact + pip install smact SMACT is also available via conda through the conda-forge channel on Anaconda Cloud: -``` -conda install -c conda-forge smact -``` + conda install -c conda-forge smact Alternatively, the very latest version can be installed using: pip install git+https://github.com/WMD-group/SMACT.git For developer installation SMACT can be installed from a copy of the source -repository (https://github.com/wmd-group/smact); this will be preferred if using experimental code branches. +repository (); this will be preferred if using experimental code branches. To clone the project from GitHub and make a local installation: @@ -112,19 +110,18 @@ To clone the project from GitHub and make a local installation: With -e pip will create links to the source folder so that that changes to the code will be immediately reflected on the PATH. - -License and attribution ------------------------ +## License and attribution Python code and original data tables are licensed under the MIT License. -Development notes ------------------ +## Development notes ### Bugs, features and questions -Please use the [Issue Tracker](https://github.com/WMD-group/smact/issues) to report bugs or request features in the first instance. While we hope that most questions can be answered by searching [the docs](https://smact.readthedocs.io/en/latest/), we welcome new questions on the issue tracker, especially if they help us improve the docs! For other queries about any aspect of the code, please contact either Aron Walsh on behalf of The SMACT Developers (author) or Anthony Onwuli (maintainer) by e-mail: a.walsh@imperial.ac.uk or anthony.onwuli16@imperial.ac.uk respectively. + +Please use the [Issue Tracker](https://github.com/WMD-group/smact/issues) to report bugs or request features in the first instance. While we hope that most questions can be answered by searching [the docs](https://smact.readthedocs.io/en/latest/), we welcome new questions on the issue tracker, especially if they helps us improve the docs! For other queries about any aspect of the code, please contact Anthony Onwuli (maintainer) by [e-mail](mailto:anthony.onwuli16@imperial.ac.uk). ### Code contributions + We are always looking for ways to make SMACT better and more useful to the wider community; contributions are welcome. Please use the ["Fork and Pull"](https://guides.github.com/activities/forking/) workflow to make contributions and stick as closely as possible to the following: - Code style should comply with [PEP8](http://www.python.org/dev/peps/pep-0008) where possible. [Google's house style](https://google.github.io/styleguide/pyguide.html) is also helpful, including a good model for docstrings. @@ -133,27 +130,23 @@ We are always looking for ways to make SMACT better and more useful to the wider - Look at the [contributing guide](CONTRIBUTING.md) for more information. ### Tests -Testing modules should be pass/fail and wrapped into **tests/test_core.py** or another **tests/test_something.py** file added, if appropriate. -Run the tests using `python -m pytest -v`. -(The final `-v` is optional and adds more detail to the output.) -We also use integrated testing on GitHub via [GitHub Actions](hhttps://github.com/features/actions). +We use integrated testing on GitHub via [GitHub Actions](https://github.com/features/actions). Testing modules should be pass/fail and wrapped into **tests/test_core.py** or another **tests/test_something.py** file added, if appropriate. +Run the tests using `python -m pytest -v`.(The final `-v` is optional and adds more detail to the output.) -References ----------- +## References [H. Park et al., -"Mapping inorganic crystal chemical space" *Faraday Discuss.* (2024)](https://pubs.rsc.org/en/content/articlelanding/2024/fd/d4fd00063c) +"Mapping inorganic crystal chemical space" _Faraday Discuss._ (2024)](https://pubs.rsc.org/en/content/articlelanding/2024/fd/d4fd00063c) [D. W. Davies et al., -"SMACT: Semiconducting Materials by Analogy and Chemical Theory" *JOSS* **4**, 1361 (2019)](https://joss.theoj.org/papers/7efd2f2ad60d25bdccee3fbd3fc11448) +"SMACT: Semiconducting Materials by Analogy and Chemical Theory" _JOSS_ **4**, 1361 (2019)](https://joss.theoj.org/papers/7efd2f2ad60d25bdccee3fbd3fc11448) [D. W. Davies et al., -"Materials discovery by chemical analogy: role of oxidation states in structure prediction" *Faraday Discuss.* **211**, 553 (2018)](https://pubs.rsc.org/en/Content/ArticleLanding/2018/FD/C8FD00032H) +"Materials discovery by chemical analogy: role of oxidation states in structure prediction" _Faraday Discuss._ **211**, 553 (2018)](https://pubs.rsc.org/en/Content/ArticleLanding/2018/FD/C8FD00032H) [D. W. Davies et al., -"Computational screening of all stoichiometric inorganic materials" *Chem* **1**, 617 (2016)](http://www.cell.com/chem/abstract/S2451-9294(16)30155-3) +"Computational screening of all stoichiometric inorganic materials" _Chem_ **1**, 617 (2016)]() -[B. R. Pamplin, "A systematic method of deriving new semiconducting -compounds by structural analogy", *J. Phys. Chem. Solids* -**25**, 675 (1964)](http://www.sciencedirect.com/science/article/pii/0022369764901763) \ No newline at end of file +[B. R. Pamplin, "A systematic method of deriving new semiconducting compounds by structural analogy", _J. Phys. Chem. Solids_ +**25**, 675 (1964)](http://www.sciencedirect.com/science/article/pii/0022369764901763) diff --git a/SMACT.png b/SMACT.png index e53dec1b..733a3bc2 100644 Binary files a/SMACT.png and b/SMACT.png differ diff --git a/dev_docs/contribution_guidelines.md b/dev_docs/contribution_guidelines.md index 4a521d82..6c44718b 100644 --- a/dev_docs/contribution_guidelines.md +++ b/dev_docs/contribution_guidelines.md @@ -1,51 +1,51 @@ -# Contributing to SMACT - -This is a quick guide on how to follow best practice and contribute smoothly to `SMACT`. - -## Workflow - -We follow the [GitHub flow] -(), using -branches for new work and pull requests for verifying the work. - -The steps for a new piece of work can be summarised as follows: - -1. Push up or create [an issue](https://guides.github.com/features/issues). -2. Create a branch from master, with a sensible name that relates to the issue. -3. Do the work and commit changes to the branch. Push the branch - regularly to GitHub to make sure no work is accidentally lost. -4. Write or update unit tests for the code you work on. -5. When you are finished with the work, ensure that all of the unit - tests pass on your own machine. -6. Open a pull request [on the SMACT pull request page](https://github.com/WMD-group/SMACT/pulls). -7. If nobody acknowledges your pull request promptly, feel free to poke one of the main developers into action. - -## Pull requests - -For a general overview of using pull requests on GitHub look [in the GitHub docs](https://help.github.com/en/articles/about-pull-requests). - -When creating a pull request you should: - -* Ensure that the title succinctly describes the changes so it is easy to read on the overview page -* Reference the issue which the pull request is closing - -Recommended reading: [How to Write the Perfect Pull Request](https://github.blog/2015-01-21-how-to-write-the-perfect-pull-request/) - -## Dev requirements - -When developing `SMACT` locally, it is recommended to install the python packages in `requirements-dev.txt`. - -```bash -pip install -r requirements-dev.txt -``` - -This will allow you to run the tests locally with pytest as described in the main README, -as well as run pre-commit hooks to automatically format python files with isort and black. -To install the pre-commit hooks (only needs to be done once): - -```bash -pre-commit install -pre-commit run --all-files # optionally run hooks on all files -``` - -Pre-commit hooks will check all files when you commit changes, automatically fixing any files which are not formatted correctly. Those files will need to be staged again before re-attempting the commit. +# Contributing to SMACT + +This is a quick guide on how to follow best practice and contribute smoothly to `SMACT`. + +## Workflow + +We follow the [GitHub flow] +(), using +branches for new work and pull requests for verifying the work. + +The steps for a new piece of work can be summarised as follows: + +1. Push up or create [an issue](https://guides.github.com/features/issues). +2. Create a branch from master, with a sensible name that relates to the issue. +3. Do the work and commit changes to the branch. Push the branch + regularly to GitHub to make sure no work is accidentally lost. +4. Write or update unit tests for the code you work on. +5. When you are finished with the work, ensure that all of the unit + tests pass on your own machine. +6. Open a pull request [on the SMACT pull request page](https://github.com/WMD-group/SMACT/pulls). +7. If nobody acknowledges your pull request promptly, feel free to poke one of the main developers into action. + +## Pull requests + +For a general overview of using pull requests on GitHub look [in the GitHub docs](https://help.github.com/en/articles/about-pull-requests). + +When creating a pull request you should: + +- Ensure that the title succinctly describes the changes so it is easy to read on the overview page +- Reference the issue which the pull request is closing + +Recommended reading: [How to Write the Perfect Pull Request](https://github.blog/2015-01-21-how-to-write-the-perfect-pull-request/) + +## Dev requirements + +When developing `SMACT` locally, it is recommended to install the python packages in `requirements-dev.txt`. + +```bash +pip install -r requirements-dev.txt +``` + +This will allow you to run the tests locally with pytest as described in the main README, +as well as run pre-commit hooks to automatically format python files with isort and black. +To install the pre-commit hooks (only needs to be done once): + +```bash +pre-commit install +pre-commit run --all-files # optionally run hooks on all files +``` + +Pre-commit hooks will check all files when you commit changes, automatically fixing any files which are not formatted correctly. Those files will need to be staged again before re-attempting the commit. diff --git a/dev_docs/design_docs/StructurePredictor.md b/dev_docs/design_docs/StructurePredictor.md index 49796ed1..b8c9ebf9 100644 --- a/dev_docs/design_docs/StructurePredictor.md +++ b/dev_docs/design_docs/StructurePredictor.md @@ -1,112 +1,108 @@ -# Structure Predictor Design Doc ---- - -## Motivation -The `PYMATGEN` structure predictor [based on [this paper](https://pubs.acs.org/doi/10.1021/ic102031h)] is a useful tool for going from chemical composition to a reasonable crystal structure, based on a similarity index of ions. -This tool works particularly well with the `SMACT` methods for generating reasonable compositions. However, there are two major reasons for building our own structure predictor: (i) relying on `PYMATGEN` as a dependancy is less than ideal; (ii) the `PYMATGEN` method is not as fast as it could be, in terms of interfacing with `SMACT`. Therefore we propose implement a similar method in `SMACT`. - -## Required features - -* A composition with structure object (code object) - * Minimal and zippable - * Lattice vectors - * Ion (name and charge) types and numbers - * Coordinates - * It was decided to adopt `POSCAR` style (`VASP5`) -* A database of known materials (database) - * Structures stored in above format - * Each has a unique key - * Each has an id - * `SQLlite` -* $\lambda$ table (data file) - * Contains substitutions probabilities - * Initially take `PYMATGEN` table -* Probability method (code method) - * This calculates the probability of any possible substitution - those above the threshold are passed on. -* An object to store possible substitutions (code object) - * A list of lists -* A mutation method (code method) - * This will replace ions in the known structure with those of the target structure -* A prettify method (code method) - * This will fix species order in the outputs to follow conventions - -## Proposed Workflow - -![workflow](../images/sp_workflow.jpg) - -* Generate a list of target compositions eg for Ba$_2$OF$_2$ `[Ba2+, O2-, F1-, (2, 1, 2)]` -* Make all possible substitutions in the $\lambda-$table (no need to worry about stoichiometry) -* Check the probability of the result -* IF it passes - create the key of the passed result, so if Ca, S, Cl substituting the above formula passed, the key is `Ca_2_2+S_1_2-Cl_2_1-` -* Check if that key exists in the database -* If the key exists add it to our `Substitution list` -* For each key in the substitution list perform a mutation on the structure object that turns it into the target compound -* Prettify the resulting structure object - - -## Suggested development plan - -* A method to convert a composition to a unique key -* A method to generate our structure objects from MP entries -* A database of all MP structures - in our structure format and with keys in our key format -* A method to perform all possible substitutions between the target composition and the elements in the $\lambda$-table -* A method to evaluate the probability of the result -* A method to mutate the structure object - by replacing species with those in the target compound -* A method to prettify the resulting compound structure so that it follows convention - -### Description of elements - -These are some more fleshed out prototypes of objects/methods that are described above. They are open to discussion. - -#### Composition/structure object - - Ca2+ O2- F1- - 1.0 - VECA - VECB - VECC - Ca O F - 2 1 2 - Coordinates - . - . - . - END - -* Ordering consistent with Database key (see below) - -#### Database - -![workflow](../images/database_design.jpg) - -* Entries to be created by a valence bond analysis of structures - -* Simple two field database - * Field 1: database key - * Field 2: location of zipped structure object file - -#### Database Key - -* Information about element, charge and stoichiometry. -* The elements must be ordered by alphabet. -* The species ordered by charge highest to lowest. - -E.g. -* Ba$_2$OF$_2$ -> `Ba_2_2+F_2_1-O_1_2-` -* Fe$_3$O$_4$ -> `Fe_1_2+Fe_2_3+O_3_2-` - -#### Substitution list - -[[[targetA],["subs1A","subs2A",...]],[[targetB],["subs1B"],...] - -* target is a list, the target composition - this is generated rather than stored. After each generation -* subs are keys, for the potential compositions to substitute into - - Example of [[targetX],[subsNX],...] structure - [[[Ba2+, O2-, F1-], ["Ca_2_2+O_1_2-F_2_1-", "Mg_2_2+O_1_2-F_2_1-"]]...] - - - - - - +# Structure Predictor Design Doc + +--- + +## Motivation + +The `PYMATGEN` structure predictor [based on [this paper](https://pubs.acs.org/doi/10.1021/ic102031h)] is a useful tool for going from chemical composition to a reasonable crystal structure, based on a similarity index of ions. +This tool works particularly well with the `SMACT` methods for generating reasonable compositions. However, there are two major reasons for building our own structure predictor: (i) relying on `PYMATGEN` as a dependancy is less than ideal; (ii) the `PYMATGEN` method is not as fast as it could be, in terms of interfacing with `SMACT`. Therefore we propose implement a similar method in `SMACT`. + +## Required features + +- A composition with structure object (code object) + - Minimal and zippable + - Lattice vectors + - Ion (name and charge) types and numbers + - Coordinates + - It was decided to adopt `POSCAR` style (`VASP5`) +- A database of known materials (database) + - Structures stored in above format + - Each has a unique key + - Each has an id + - `SQLlite` +- $\lambda$ table (data file) + - Contains substitutions probabilities + - Initially take `PYMATGEN` table +- Probability method (code method) + - This calculates the probability of any possible substitution - those above the threshold are passed on. +- An object to store possible substitutions (code object) + - A list of lists +- A mutation method (code method) + - This will replace ions in the known structure with those of the target structure +- A prettify method (code method) + - This will fix species order in the outputs to follow conventions + +## Proposed Workflow + +![workflow](../images/sp_workflow.jpg) + +- Generate a list of target compositions eg for Ba$_2$OF$_2$ `[Ba2+, O2-, F1-, (2, 1, 2)]` +- Make all possible substitutions in the $\lambda-$table (no need to worry about stoichiometry) +- Check the probability of the result +- IF it passes - create the key of the passed result, so if Ca, S, Cl substituting the above formula passed, the key is `Ca_2_2+S_1_2-Cl_2_1-` +- Check if that key exists in the database +- If the key exists add it to our `Substitution list` +- For each key in the substitution list perform a mutation on the structure object that turns it into the target compound +- Prettify the resulting structure object + +## Suggested development plan + +- A method to convert a composition to a unique key +- A method to generate our structure objects from MP entries +- A database of all MP structures - in our structure format and with keys in our key format +- A method to perform all possible substitutions between the target composition and the elements in the $\lambda$-table +- A method to evaluate the probability of the result +- A method to mutate the structure object - by replacing species with those in the target compound +- A method to prettify the resulting compound structure so that it follows convention + +### Description of elements + +These are some more fleshed out prototypes of objects/methods that are described above. They are open to discussion. + +#### Composition/structure object + + Ca2+ O2- F1- + 1.0 + VECA + VECB + VECC + Ca O F + 2 1 2 + Coordinates + . + . + . + END + +- Ordering consistent with Database key (see below) + +#### Database + +![workflow](../images/database_design.jpg) + +- Entries to be created by a valence bond analysis of structures + +- Simple two field database + - Field 1: database key + - Field 2: location of zipped structure object file + +#### Database Key + +- Information about element, charge and stoichiometry. +- The elements must be ordered by alphabet. +- The species ordered by charge highest to lowest. + +E.g. + +- Ba$_2$OF$_2$ -> `Ba_2_2+F_2_1-O_1_2-` +- Fe$_3$O$_4$ -> `Fe_1_2+Fe_2_3+O_3_2-` + +#### Substitution list + +[[[targetA],["subs1A","subs2A",...]],[[targetB],["subs1B"],...] + +- target is a list, the target composition - this is generated rather than stored. After each generation +- subs are keys, for the potential compositions to substitute into + + Example of [[targetX],[subsNX],...] structure +[[[Ba2+, O2-, F1-], ["Ca_2_2+O_1_2-F_2_1-", "Mg_2_2+O_1_2-F_2_1-"]]...] diff --git a/docs/conf.py b/docs/conf.py index b378c4e8..76a6d672 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -34,8 +34,19 @@ "sphinx.ext.mathjax", "sphinx.ext.napoleon", "sphinx.ext.viewcode", + "myst_nb", ] +myst_enable_extensions = [ + "amsmath", + "colon_fence", + "deflist", + "dollarmath", + "html_image", +] +myst_url_schemes = ("http", "https", "mailto") +jupyter_execute_notebooks = "off" + # Add any paths that contain templates here, relative to this directory. templates_path = ["_templates"] @@ -51,9 +62,9 @@ master_doc = "index" # General information about the project. -project = "Smact" -copyright = "2024, Materials Design Group" -author = "Materials Design Group" +project = "SMACT" +copyright = "2024, The SMACT Developers" +author = "The SMACT Developers" # The version info for the project you're documenting, acts as replacement for # |version| and |release|, also used in various other places throughout the @@ -112,7 +123,9 @@ # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. -html_theme = "sphinx_rtd_theme" +html_theme = "sphinx_book_theme" +html_logo = "smact_toc.jpg" +html_title = "smact" # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the @@ -156,6 +169,28 @@ # typographically correct entities. # html_use_smartypants = True +html_theme_options = { + "repository_url": "https://github.com/WMD-Group/SMACT", + "repository_branch": "docs_updates", + "path_to_docs": "docs", + "use_repository_button": True, + # "home_page_in_toc": True, + "launch_buttons": { + "binderhub_url": "https://mybinder.org", + "colab_url": "https://colab.research.google.com", + }, +} + + +# Adding “Edit Source” links on your Sphinx theme +html_context = { + "display_github": True, # Integrate GitHub + "github_user": "WMD-Group", # Username + "github_repo": "SMACT", # Repo name + "github_version": "master", # Version + "conf_py_path": "/docs/", # Path in the checkout to the docs root +} + # Custom sidebar templates, maps document names to template names. # html_sidebars = {} diff --git a/docs/examples.rst b/docs/examples.rst index 9e002273..2cbc9cd8 100644 --- a/docs/examples.rst +++ b/docs/examples.rst @@ -3,238 +3,21 @@ Examples ======== Here we will give a demonstration of how to use some `smact` features. For a full set of -work-through examples in Jupyter Notebook form check out -`the examples section of our GitHub repo `_. +work-through tutorials in Jupyter Notebook form check out the `Tutorials` section of the documentation. + For workflows that have been used in real examples and in published work, visit our `separate repository `_. -=========================== -Element and species classes -=========================== - -The element and species classes are at the heart of :mod:`smact` functionality. Elements are the -elements of the periodic table. Species are elements, with some additional information; the -oxidation state and the coordination environment (if known). So for example the element iron -can have many oxidation states and those oxidation states can have many coordination -environments. - -.. code:: python - - import smact - - iron = smact.Element('Fe') - print("The element %s has %i oxidation states. They are %s." % - (iron.symbol, len(iron.oxidation_states), iron.oxidation_states)) - - The element Fe has 8 oxidation states. They are [-2, -1, 1, 2, 3, 4, 5, 6]. - -When an element has an oxidation state and coordination environment then it has additional -features. For example, the Shannon radius [1]_ of the element is useful for calculating -radius ratio rules [2]_, or for training neural networks [3]_ . - -.. code:: python - - iron_square_planar = smact.Species('Fe', 2, '4_n') - print('Square planar iron has a Shannon radius of %s Angstrom' % iron_square_planar.shannon_radius) - - Square planar iron has a Shannon radius of 0.77 Angstrom - -============= -List building -============= - -Often when using :mod:`smact` the aim will be to search over combinations of a set of elements. This -is most efficiently achieved by setting up a dictionary of the elements that you want to search -over. The easiest way to achieve this in :mod:`smact` is to first create a list of the symbols of the elements -that you want to include, then to build a dictionary of the corresponding element objects. - -The list can be built by hand, or if you want to cover a given range there is a helper function. - -.. code:: python - - import smact - - elements = smact.ordered_elements(13, 27) - print(elements) - - ['Al','Si','P', 'S', 'Cl', 'Ar', 'K', 'Ca', 'Sc', 'Ti', 'V', 'Cr', 'Mn', 'Fe', 'Co'] - -For doing searches across combinations of elements it is then quickest to load the element objects into -a dictionary and search by key. This avoids having to repopulate the element class at each iteration of -the search. - -.. code:: python - - element_list = smact.element_dictionary(elements) - print(element_list) - - {'Al': , - 'Ar': , - 'Ca': , - 'Cl': , - 'Co': , - 'Cr': , - 'Fe': , - 'K': , - 'Mn': , - 'P': , - 'S': , - 'Sc': , - 'Si': , - 'Ti': , - 'V': } - -==================== -Neutral combinations -==================== - -One of the most basic tests for establishing sensible combinations of elements is that they should form charge-neutral -combinations. This is a straightforward combinatorial problem of comparing oxidation states and allowed stoichiometries. - -:math:`\Sigma_i Q_in_i = 0` - -where :math:`i` are the elements in the compound and :math:`Q` are the charges. We have a special function, ``smact_filter``, -which does this checking for a list of elements. The ``smact_filter`` also ensures that all elements specified to be anions -have electronegitivities greater than all elements specified to be cations. - -As input ``smact_filter`` takes: - -* ``els`` : a tuple of the elements to search over (required) -* ``threshold``: the upper limit of the stoichiometric ratios (default = 8) -* ``species_unique``: whether or not we want to consider elements in different oxidation states as unique in our results (default is False). - -We can look for neutral combos. - -.. code:: python - - import smact.screening - import pprint - - elements = ['Ti', 'Al', 'O'] - space = smact.element_dictionary(elements) - # We just want the element items from the dictionary - eles = [e[1] for e in space.items()] - # We set a threshold for the stoichiometry of 4 - allowed_combinations = smact.screening.smact_filter(eles, threshold=4) - pprint.pprint(allowed_combinations) - - [Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 1, -2), stoichiometries=(1, 1, 1)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 1, -2), stoichiometries=(1, 3, 2)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 1, -2), stoichiometries=(2, 4, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 1, -2), stoichiometries=(3, 1, 2)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 1, -2), stoichiometries=(4, 2, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 1, -1), stoichiometries=(1, 1, 2)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 1, -1), stoichiometries=(1, 2, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 1, -1), stoichiometries=(1, 3, 4)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 1, -1), stoichiometries=(2, 1, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 1, -1), stoichiometries=(3, 1, 4)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 2, -2), stoichiometries=(2, 1, 2)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 2, -2), stoichiometries=(2, 2, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 2, -2), stoichiometries=(2, 3, 4)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 2, -2), stoichiometries=(4, 1, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 2, -1), stoichiometries=(1, 1, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 2, -1), stoichiometries=(2, 1, 4)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 3, -2), stoichiometries=(1, 1, 2)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 3, -2), stoichiometries=(3, 1, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(1, 3, -1), stoichiometries=(1, 1, 4)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(2, 1, -2), stoichiometries=(1, 2, 2)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(2, 1, -2), stoichiometries=(1, 4, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(2, 1, -2), stoichiometries=(2, 2, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(2, 1, -2), stoichiometries=(3, 2, 4)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(2, 1, -1), stoichiometries=(1, 1, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(2, 1, -1), stoichiometries=(1, 2, 4)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(2, 2, -2), stoichiometries=(1, 1, 2)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(2, 2, -2), stoichiometries=(1, 2, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(2, 2, -2), stoichiometries=(1, 3, 4)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(2, 2, -2), stoichiometries=(2, 1, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(2, 2, -2), stoichiometries=(3, 1, 4)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(2, 2, -1), stoichiometries=(1, 1, 4)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(2, 3, -2), stoichiometries=(1, 2, 4)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(3, 1, -2), stoichiometries=(1, 1, 2)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(3, 1, -2), stoichiometries=(1, 3, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(3, 1, -1), stoichiometries=(1, 1, 4)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(3, 2, -2), stoichiometries=(2, 1, 4)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(3, 3, -2), stoichiometries=(1, 1, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(4, 1, -2), stoichiometries=(1, 2, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(4, 1, -2), stoichiometries=(1, 4, 4)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(4, 2, -2), stoichiometries=(1, 1, 3)), - Composition(element_symbols=('Ti', 'Al', 'O'), oxidation_states=(4, 2, -2), stoichiometries=(1, 2, 4))] - - -There is `an example `_ -of how this function can be combined with multiprocessing to rapidly explore large subsets of chemical space. - -========================== -Compound electronegativity -========================== - -One property that is often used in high-throughput screening where band alignment is important is the -compound electronegativity. Ginley and Butler showed how the simple geometric mean of the -electronegitivities of a compound could be used to predict flat band potentials [4]_. :mod:`smact` has a built -in function to calculate this property for a given composition. - -.. code:: python - - import smact.properties - - compound_electronegs = [smact.properties.compound_electroneg(elements = a[0], stoichs = a[1]) for \\ - a in allowed_combinations] - - print(compound_electronegs) - - [4.319343517137848, - 4.729831837874991, - 4.462035251666306, - 4.337155845378665, - 5.0575817742802025, - 4.777171739263751, - 4.427325394494835, - 5.34030430325585, - 4.583732423414276, - 4.980129115226567, - 4.652147502981397, - 5.284089129411956, - 4.726884428924315, - 4.373001170931816, - 4.808336266651247, - 5.041995471272069, - 4.587722671269271, - 5.437592861777965, - 5.010966817423813, - 4.964781503487637, - 4.768922515748819, - 4.409142747625072, - 5.74200359520417, - 4.677126472294396] - -=============================== -Interfacing to machine learning -=============================== - -When preparing to build machine learning models, we have to convert the chemical compositions into -something that can be fed into an algorithm. Many of the properties provided in :mod:`smact` are suitable for this, -one can take properties like electronegativity, mass, electron affinity, etc. (for the full list see -:ref:`smact_module`). - -One useful representation in machine learning is the one-hot-vector formulation. A similar -construction to this can be used to encode a chemical formula. A vector of length covering the periodic table is -constructed and each element is set to a number corresponding to the stoichiometric ratio of that element in the compound. -For example we could convert :math:`Ba(OH)_2` - -.. code:: python - - ml_vector = smact.screening.ml_rep_generator(['Ba', 'H', 'O'], stoichs=[1, 2, 2]) - -There is also `an example `_ -demonstrating the conversion of charge-neutral compositions produced by `smact` to a list of formulas using Pymatgen, -or to a Pandas dataframe, both of which could then be used as input for a machine learning algorithm. -For a full machine learning example that uses `smact`, there is a repository `here `_ -which demonstrates a search for solar energy materials from the four-component (quaternary) oxide materials space. - -.. [1] "Revised effective ionic radii and systematic studies of interatomic distances in halides and chalcogenides" Acta Cryst. A. **32**, 751–767 (1976). - -.. [2] "Crystal structure and chemical constitution" Trans. Faraday Soc. **25**, 253-283 (1929). - -.. [3] "Deep neural networks for accurate predictions of crystal stability" Nat. Comms. **9**, 3800 (2018). - -.. [4] "Prediction of flatband potentials at semiconductor‐electrolyte interfaces from atomic electronegativities" J. Electrochem. Soc. **125**, 228-232 (1975). +.. toctree:: + :maxdepth: 1 + + examples/elements_and_species + examples/filter + examples/validity + examples/lists + examples/neutral_combos + examples/oxidation_states + examples/compound_electroneg + examples/valence_electron_count + examples/doper + examples/distorter diff --git a/docs/examples/compound_electroneg.ipynb b/docs/examples/compound_electroneg.ipynb new file mode 100644 index 00000000..a851b1ba --- /dev/null +++ b/docs/examples/compound_electroneg.ipynb @@ -0,0 +1,66 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "0", + "metadata": { + "tags": [] + }, + "source": [ + "# Using compound electronegativity\n", + "\n", + "One property that is often used in high-throughput screening where band alignment is important is the\n", + "compound electronegativity. Ginley and Butler showed how the simple geometric mean of the\n", + "electronegitivities of a compound could be used to predict flat band potential. `smact` has a built\n", + "in function to calculate this property for a given composition." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[7.295419353970365, 5.2443464083242155]\n" + ] + } + ], + "source": [ + "import smact.properties\n", + "\n", + "allowed_combinations = [([\"H\", \"O\"], [2, 1]), ([\"Ba\", \"Ti\", \"O\"], [1, 1, 3])]\n", + "\n", + "compound_electronegs = [smact.properties.compound_electroneg(elements=a[0], stoichs=a[1]) for a in allowed_combinations]\n", + "\n", + "print(compound_electronegs)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/examples/distorter.ipynb b/docs/examples/distorter.ipynb new file mode 100644 index 00000000..53a7212e --- /dev/null +++ b/docs/examples/distorter.ipynb @@ -0,0 +1,108 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Using distorter\n", + "\n", + "The concept of cation mutation (ion substitution) to tune the properties of compounds has been around at least since the [1950s](https://www.sciencedirect.com/science/article/pii/0022369758900507) and has proved a useful concept in more [more recent studies](https://journals.aps.org/prb/abstract/10.1103/PhysRevB.79.165211). \n", + "\n", + "In this notebook, we demonstrate the process of generating all possible (symmetry inequivalent) substitutions of Sr on Ba sites in the cubic perovskite BaTiO3, considering both single and double substitutions. The distorter module leverages the [ASE](https://wiki.fysik.dtu.dk/ase) Python library." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Substitution 1: Replacing Ba with Sr at site [0. 0. 0.5]\n", + "----------------------------------------\n", + "Substitution 2: Replacing Ba with Sr at site [0. 0.5 0.5]\n", + "----------------------------------------\n", + "Substitution 3: Replacing Ba with Sr at site [0.5 0. 0. ]\n", + "----------------------------------------\n", + "Substitution 4: Replacing Ba with Sr at site [0.5 0. 0.5]\n", + "----------------------------------------\n", + "Substitution 5: Replacing Ba with Sr at site [0.5 0.5 0.5]\n", + "----------------------------------------\n", + "Substitutions completed\n" + ] + } + ], + "source": [ + "import smact.builder as builder\n", + "import smact.distorter as distorter\n", + "import numpy as np\n", + "\n", + "# Step 1: Build the initial cubic perovskite structure\n", + "smact_lattice, test_case = builder.cubic_perovskite([\"Ba\", \"Ti\", \"O\"], repetitions=[2, 2, 2])\n", + "\n", + "# Step 2: Perform a single substitution\n", + "subs_site = [0.0, 0.0, 0.0]\n", + "single_substitution = distorter.make_substitution(test_case, subs_site, \"Sr\")\n", + "\n", + "# Step 3: Build a sub-lattice for disorder\n", + "sub_lattice = distorter.build_sub_lattice(single_substitution, \"Ba\")\n", + "\n", + "# Step 4: Extract the required data\n", + "lattice_matrix = single_substitution.get_cell() # Get the lattice matrix\n", + "positions = single_substitution.get_scaled_positions() # Get scaled positions (fractional coordinates)\n", + "atomic_numbers = single_substitution.get_atomic_numbers() # Get atomic numbers\n", + "\n", + "# Package the data into the expected format: (lattice, positions, atomic numbers)\n", + "lattice_data = (lattice_matrix, positions, atomic_numbers)\n", + "\n", + "# Step 5: Enumerate inequivalent sites using the properly formatted data\n", + "inequivalent_sites = distorter.get_inequivalent_sites(sub_lattice, lattice_data)\n", + "\n", + "# Step 6: Replace Ba at inequivalent sites with Sr and store the structures\n", + "substituted_structures = []\n", + "\n", + "for i, inequivalent_site in enumerate(inequivalent_sites):\n", + " print(f\"Substitution {i + 1}: Replacing Ba with Sr at site {inequivalent_site}\")\n", + " distorted = distorter.make_substitution(single_substitution, inequivalent_site, \"Sr\")\n", + " substituted_structures.append(distorted) # Store the structure for visualization\n", + " print(\"-\" * 40)\n", + "\n", + "print(\"Substitutions completed\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# The distorted objects are of the ase atoms class,\n", + "# so can be written out to a crystal structure file like a cif\n", + "distorted.write(\"example_output.cif\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/docs/examples/doper.ipynb b/docs/examples/doper.ipynb new file mode 100644 index 00000000..ab1d06db --- /dev/null +++ b/docs/examples/doper.ipynb @@ -0,0 +1,162 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "0", + "metadata": {}, + "source": [ + "# Using doper\n", + "\n", + "The Doper module includes the `get_dopants` function. This function requires an input, which is a tuple of strings representing the ionic species of the material.\n", + "\n", + "By default, the top five p-type and n-type candidates are reported. Use the `num_dopants` input to modify the number of outputs.\n", + "\n", + "### Output Format\n", + "The output is a dictionary with keys:\n", + "- \"n_type_cation\"\n", + "- \"p_type_cation\"\n", + "- \"n_type_anion\"\n", + "- \"p_type_anion\"\n", + "\n", + "Each key contains a list of possible dopants, ordered by probability (Highest → Lowest). Each possible dopant is represented as a tuple: `('substituted dopant', 'original species', 'probability')`." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1", + "metadata": {}, + "outputs": [], + "source": [ + "from smact.dopant_prediction.doper import Doper\n", + "\n", + "# Define the material using its ionic species.\n", + "# Here, we are creating a material object with titanium in the 4+ oxidation state (Ti4+) and oxygen in the 2- oxidation state (O2-).\n", + "material = Doper((\"Ti4+\", \"O2-\"))\n", + "\n", + "# Use the `get_dopants` function to predict potential dopants.\n", + "# By default, it returns the top 5 p-type and n-type dopants, but this can be adjusted with the `num_dopants` parameter.\n", + "# The output will be a dictionary with possible n-type and p-type cation and anion dopants.\n", + "dopants = material.get_dopants(num_dopants=5)\n", + "\n", + "# Print the dopant predictions.\n", + "# Each entry in these lists is a tuple: ('substituted dopant', 'original species', 'probability').\n", + "print(dopants)" + ] + }, + { + "cell_type": "markdown", + "id": "2", + "metadata": {}, + "source": [ + "The results can be presented in a table format using the `to_table` attribute." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3", + "metadata": { + "jupyter": { + "outputs_hidden": false + } + }, + "outputs": [], + "source": [ + "material.to_table" + ] + }, + { + "cell_type": "markdown", + "id": "4", + "metadata": {}, + "source": [ + "Ternary and multicomponent systems can also be dealt with." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5", + "metadata": {}, + "outputs": [], + "source": [ + "quaternary = Doper((\"Cu1+\", \"Zn2+\", \"Ge4+\", \"S2-\"))\n", + "quaternary.get_dopants()" + ] + }, + { + "cell_type": "markdown", + "id": "6", + "metadata": {}, + "source": [ + "If you want to plot the results in the form of heatmap, use `plot_dopants` method.\n", + "\n", + "The default heatmap is 'YlOrRd'. Refer to the matplotlib documentation for other options using \"cmap\" parameter." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7", + "metadata": {}, + "outputs": [], + "source": [ + "quaternary.plot_dopants(cmap=\"Reds\")" + ] + }, + { + "cell_type": "markdown", + "id": "8", + "metadata": {}, + "source": [ + "## Alternative metrics\n", + "\n", + "The probability values for the dopants are calculated based on the algorithm presented in:\n", + " [Hautier, G., Fischer, C., Ehrlacher, V., Jain, A., and Ceder, G. (2011)\n", + " Data Mined Ionic Substitutions for the Discovery of New Compounds.\n", + " Inorganic Chemistry, 50(2), 656-663](https://pubs.acs.org/doi/10.1021/ic102031h)\n", + " \n", + "In SMACT, we can also provide alternative ways for determining the possible dopants based on alternative probability or similarity metrics.\n", + "\n", + "For example, we have a similarity metric based on distributed representations of the ions, which we call `skipspecies`. This metric is based on the idea that similar ions should have similar embeddings. The similarity is calculated based on the cosine similarity of the embeddings of the ions." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9", + "metadata": { + "is_executing": true + }, + "outputs": [], + "source": [ + "doper_skipspecies = Doper((\"Ti4+\", \"O2-\"), embedding=\"skipspecies\", use_probability=False)\n", + "doper_skipspecies.get_dopants(5)\n", + "# Present results in a table\n", + "doper_skipspecies.to_table" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/examples/elements_and_species.ipynb b/docs/examples/elements_and_species.ipynb new file mode 100644 index 00000000..ddd25e3f --- /dev/null +++ b/docs/examples/elements_and_species.ipynb @@ -0,0 +1,90 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "0", + "metadata": {}, + "source": [ + "# Using element and species classes\n", + "\n", + "The element and species classes are at the heart of `smact` functionality. Elements are the elements of the periodic table. Species are elements, with some additional information; the oxidation state and the coordination environment (if known). So for example the element iron can have many oxidation states and those oxidation states can have many coordination environments." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The element Fe has 8 oxidation states. They are [-2, -1, 1, 2, 3, 4, 5, 6].\n" + ] + } + ], + "source": [ + "import smact\n", + "\n", + "iron = smact.Element(\"Fe\")\n", + "print(\n", + " \"The element %s has %i oxidation states. They are %s.\"\n", + " % (iron.symbol, len(iron.oxidation_states), iron.oxidation_states)\n", + ")" + ] + }, + { + "cell_type": "markdown", + "id": "2", + "metadata": {}, + "source": [ + "When an element has an oxidation state and coordination environment then it has additional features. For example, the Shannon radius of the element is useful for calculating radius ratio rules, or for training neural networks." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Square planar iron has a Shannon radius of None Angstrom\n" + ] + } + ], + "source": [ + "iron_square_planar = smact.Species(\"Fe\", 2, \"4_n\")\n", + "print(\"Square planar iron has a Shannon radius of %s Angstrom\" % iron_square_planar.shannon_radius)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/examples/filter.ipynb b/docs/examples/filter.ipynb new file mode 100644 index 00000000..25eb84bf --- /dev/null +++ b/docs/examples/filter.ipynb @@ -0,0 +1,93 @@ +{ + "cells": [ + { + "attachments": {}, + "cell_type": "markdown", + "id": "0", + "metadata": {}, + "source": [ + "# Using filter \n", + "\n", + "The `smact_filter` function from the `smact.screening` module screens possible combinations of elements in a chemical system. It applies chemical rules to filter and return valid compositions.\n", + "\n", + "In the following example, we apply `smact_filter` to a combination of elements to find valid compositions within a stoichiometry threshold." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "'(elements), (charges), (stoichiometry)'\n", + "[(('Ti', 'Ga', 'O'), (1, 1, -2), (1, 1, 1)),\n", + " (('Ti', 'Ga', 'O'), (1, 1, -2), (1, 3, 2)),\n", + " (('Ti', 'Ga', 'O'), (1, 1, -2), (3, 1, 2)),\n", + " (('Ti', 'Ga', 'O'), (1, 1, -1), (1, 1, 2)),\n", + " (('Ti', 'Ga', 'O'), (1, 1, -1), (1, 2, 3)),\n", + " (('Ti', 'Ga', 'O'), (1, 1, -1), (2, 1, 3)),\n", + " (('Ti', 'Ga', 'O'), (1, 2, -2), (2, 1, 2)),\n", + " (('Ti', 'Ga', 'O'), (1, 2, -2), (2, 2, 3)),\n", + " (('Ti', 'Ga', 'O'), (1, 2, -1), (1, 1, 3)),\n", + " (('Ti', 'Ga', 'O'), (1, 3, -2), (1, 1, 2)),\n", + " (('Ti', 'Ga', 'O'), (1, 3, -2), (3, 1, 3)),\n", + " (('Ti', 'Ga', 'O'), (2, 1, -2), (1, 2, 2)),\n", + " (('Ti', 'Ga', 'O'), (2, 1, -2), (2, 2, 3)),\n", + " (('Ti', 'Ga', 'O'), (2, 1, -1), (1, 1, 3)),\n", + " (('Ti', 'Ga', 'O'), (2, 2, -2), (1, 1, 2)),\n", + " (('Ti', 'Ga', 'O'), (2, 2, -2), (1, 2, 3)),\n", + " (('Ti', 'Ga', 'O'), (2, 2, -2), (2, 1, 3)),\n", + " (('Ti', 'Ga', 'O'), (3, 1, -2), (1, 1, 2)),\n", + " (('Ti', 'Ga', 'O'), (3, 1, -2), (1, 3, 3)),\n", + " (('Ti', 'Ga', 'O'), (3, 3, -2), (1, 1, 3)),\n", + " (('Ti', 'Ga', 'O'), (4, 1, -2), (1, 2, 3)),\n", + " (('Ti', 'Ga', 'O'), (4, 2, -2), (1, 1, 3))]\n" + ] + } + ], + "source": [ + "import smact\n", + "from smact.screening import smact_filter\n", + "import pprint\n", + "\n", + "# Define a list of elements to screen\n", + "elements = [\"Ti\", \"Ga\", \"O\"]\n", + "\n", + "# Convert element symbols into smact.Element objects\n", + "element_objects = [smact.Element(e) for e in elements]\n", + "\n", + "# Apply smact_filter to find valid compositions within a stoichiometry threshold\n", + "allowed_combinations = smact_filter(element_objects, threshold=3)\n", + "\n", + "# Display the allowed combinations in a readable format\n", + "pprint.pprint(\"(elements), (charges), (stoichiometry)\")\n", + "pprint.pprint(allowed_combinations)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/examples/lists.ipynb b/docs/examples/lists.ipynb new file mode 100644 index 00000000..93cd41f0 --- /dev/null +++ b/docs/examples/lists.ipynb @@ -0,0 +1,94 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "0", + "metadata": {}, + "source": [ + "# Building lists\n", + "\n", + "Often when using `smact` the aim will be to search over combinations of a set of elements. This\n", + "is most efficiently achieved by setting up a dictionary of the elements that you want to search\n", + "over. The easiest way to achieve this in :mod:`smact` is to first create a list of the symbols of the elements\n", + "that you want to include, then to build a dictionary of the corresponding element objects.\n", + "\n", + "The list can be built by hand, or if you want to cover a given range there is a helper function." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['Al', 'Si', 'P', 'S', 'Cl', 'Ar', 'K', 'Ca', 'Sc', 'Ti', 'V', 'Cr', 'Mn', 'Fe', 'Co']\n" + ] + } + ], + "source": [ + "import smact\n", + "\n", + "elements = smact.ordered_elements(13, 27)\n", + "print(elements)" + ] + }, + { + "cell_type": "markdown", + "id": "2", + "metadata": {}, + "source": [ + "For doing searches across combinations of elements it is then quickest to load the element objects into\n", + "a dictionary and search by key. This avoids having to repopulate the element class at each iteration of\n", + "the search." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3", + "metadata": { + "tags": [] + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'Al': , 'Si': , 'P': , 'S': , 'Cl': , 'Ar': , 'K': , 'Ca': , 'Sc': , 'Ti': , 'V': , 'Cr': , 'Mn': , 'Fe': , 'Co': }\n" + ] + } + ], + "source": [ + "element_list = smact.element_dictionary(elements)\n", + "print(element_list)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/examples/oxidation_states.ipynb b/docs/examples/oxidation_states.ipynb new file mode 100644 index 00000000..43b33b00 --- /dev/null +++ b/docs/examples/oxidation_states.ipynb @@ -0,0 +1,231 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Using oxidation states\n", + "\n", + "Here, we will demonstrate the main functionalities of the `oxidation_states` submodule of SMACT." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Imports\n", + "\n", + "from pymatgen.core import Structure\n", + "from smact import Species\n", + "from smact.oxidation_states import Oxidation_state_probability_finder" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Getting started with the oxidation_states submodule\n", + "\n", + "The main class of the `smact.oxidation_states` submodule is `Oxidation_state_probability_finder`. We will demonstrate the usage of the methods of this class below." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Instantiate the oxidation state probability finder class with the default table\n", + "ox_prob_finder = Oxidation_state_probability_finder()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "After instantiating the class, we can examine what species are included in the probability table through the `get_included_species` method." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The species included in the probability table for the oxidation states model are show below \n", + "['O-2', 'Cl-1', 'Se-2', 'F-1', 'I-1', 'S-2', 'Te-2', 'Br-1', 'Ag2', 'Re4', 'Sc3', 'Mn2', 'Ag3', 'Re3', 'Ir5', 'La2', 'Bi5', 'Ge2', 'Ir4', 'Tm2', 'W5', 'Hg1', 'W2', 'Eu2', 'Ta4', 'In3', 'Hg2', 'Cu3', 'Cr2', 'K1', 'Ir3', 'Hf2', 'Sc1', 'Er3', 'Mo2', 'Co2', 'Yb2', 'Fe2', 'Re2', 'Ni2', 'Bi3', 'U4', 'Co3', 'Eu3', 'Fe3', 'Ru3', 'Ge4', 'Pd4', 'Mg2', 'Nd3', 'Cd2', 'Rh1', 'Fe4', 'Ho2', 'Ta2', 'Ru5', 'Tl3', 'Co1', 'Ti4', 'La1', 'Mn6', 'Ru4', 'Tl1', 'In1', 'Nb3', 'Ta3', 'Ga3', 'Re6', 'U6', 'Sr2', 'Zr4', 'Pr3', 'W3', 'U5', 'Al3', 'Cr3', 'Sn2', 'Ag1', 'Cu2', 'Zr1', 'Re7', 'Ti2', 'Re5', 'Pr2', 'Cr6', 'Mn3', 'Co4', 'Ni1', 'V3', 'Zn2', 'Sm3', 'Sn3', 'Tb1', 'Ru6', 'Y2', 'Tm3', 'Tb4', 'Cs1', 'Nb1', 'Th4', 'Cr5', 'Ni4', 'Rh4', 'W4', 'Sb5', 'Dy2', 'Pb2', 'Ni3', 'Ce3', 'Bi1', 'Sb3', 'Mn7', 'Nb5', 'Ti3', 'Ho3', 'Ga2', 'Th3', 'Rb1', 'V2', 'V4', 'Mo4', 'Ce4', 'Ta5', 'Na1', 'Gd2', 'Hf4', 'Ge3', 'Mn4', 'Mn1', 'Ta1', 'Y3', 'Bi2', 'Ga1', 'Nd2', 'Mo6', 'U3', 'Zr3', 'Pd2', 'Tb3', 'W6', 'Pb4', 'Mn5', 'Ba2', 'Mo3', 'Ir6', 'Gd3', 'In2', 'Sb4', 'Rh3', 'Ca2', 'Zr2', 'Sm2', 'Sc2', 'Be2', 'La3', 'V5', 'Lu3', 'U2', 'Cr4', 'Dy3', 'Y1', 'Ru2', 'Tb2', 'Cu1', 'Nb2', 'Pd3', 'Yb3', 'Mo5', 'Ce2', 'Fe1', 'Li1', 'Nb4', 'Sn4']\n" + ] + } + ], + "source": [ + "included_species = ox_prob_finder.get_included_species()\n", + "\n", + "print(\n", + " f\"The species included in the probability table for the oxidation states model are show below \\n{included_species}\"\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can compute the probability of a cation-anion pair appearing together using the method `pair_probability` as demonstrated below for Al3+ and O2-. The pair probability for a species-anion pair ($P_{SA}$) is given by:\n", + "\n", + "$P_{SA} = \\frac{N_{SX}}{N_{MX}}$\n", + "\n", + "where $N_{MX}$ is the total number of compounds containing the metal element M, and X is the most electronegative anion." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " The probability of Al existing in 3+ oxidation states with O in a 2- oxidation state is 1.0\n" + ] + } + ], + "source": [ + "Al = Species(\"Al\", oxidation=3, coordination=6)\n", + "O = Species(\"O\", oxidation=-2, coordination=6)\n", + "\n", + "print(\n", + " f\" The probability of Al existing in 3+ oxidation states with O in a 2- oxidation state is {ox_prob_finder.pair_probability(Al,O)}\"\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can also compute the compound probability which for a ternary compound, AaBbXx, is given by:\n", + "\n", + "$P_{A_{a}B_{b}X_{x}} = P_{AX}P_{BX} = \\frac{N_{AX}}{N_{M_{A}X}} \\times \\frac{N_{BX}}{N_{M_{B}X}}$\n", + "\n", + "We will calculate $P_{CaAl_{2}O_{4}}$." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The compound probability for CaAl2O4 is 1.0.\n" + ] + } + ], + "source": [ + "# Create a list of species for our compound of interest\n", + "CaAl2O4 = [Species(\"Ca\", 2), Species(\"Al\", 3), Species(\"O\", -2)]\n", + "\n", + "prob_compound = ox_prob_finder.compound_probability(CaAl2O4)\n", + "\n", + "print(f\"The compound probability for CaAl2O4 is {prob_compound}.\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We can compute this compound probability for a pymatgen Structure as well." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The structure of mp-540839 CsPbI3:\n", + "\n", + "Full Formula (Cs4 Pb4 I12)\n", + "Reduced Formula: CsPbI3\n", + "abc : 4.847142 10.650447 18.031199\n", + "angles: 90.000000 90.000000 90.000000\n", + "pbc : True True True\n", + "Sites (20)\n", + " # SP a b c\n", + "--- ---- ---- -------- --------\n", + " 0 Cs+ 0.75 0.581276 0.17212\n", + " 1 Cs+ 0.25 0.418724 0.82788\n", + " 2 Cs+ 0.75 0.081276 0.32788\n", + " 3 Cs+ 0.25 0.918724 0.67212\n", + " 4 Pb2+ 0.25 0.661849 0.439217\n", + " 5 Pb2+ 0.75 0.338151 0.560783\n", + " 6 Pb2+ 0.25 0.161849 0.060783\n", + " 7 Pb2+ 0.75 0.838151 0.939217\n", + " 8 I- 0.75 0.837211 0.502045\n", + " 9 I- 0.25 0.162789 0.497955\n", + " 10 I- 0.75 0.337211 0.997955\n", + " 11 I- 0.25 0.662789 0.002045\n", + " 12 I- 0.25 0.529272 0.612308\n", + " 13 I- 0.75 0.470728 0.387692\n", + " 14 I- 0.25 0.029272 0.887692\n", + " 15 I- 0.75 0.970728 0.112308\n", + " 16 I- 0.25 0.796317 0.287306\n", + " 17 I- 0.75 0.203683 0.712694\n", + " 18 I- 0.25 0.296317 0.212694\n", + " 19 I- 0.75 0.703683 0.787306\n", + "\n", + "The compound probability for CsPbI3 is 1.0.\n" + ] + } + ], + "source": [ + "# Load the structure file\n", + "\n", + "struct = Structure.from_file(\"cspbi3.cif\")\n", + "print(\"The structure of mp-540839 CsPbI3:\\n\")\n", + "print(struct)\n", + "\n", + "\n", + "# Get the compound probability for CsPbI3\n", + "prob = ox_prob_finder.compound_probability(struct)\n", + "\n", + "print(f\"\\nThe compound probability for CsPbI3 is {prob_compound}.\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3.8.13 ('smact_tests')", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.5" + }, + "vscode": { + "interpreter": { + "hash": "9f89bce96645c075fd87ba4308874c26726cf41cb3962e47a97b7697a60dd355" + } + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/docs/examples/valence_electron_count.ipynb b/docs/examples/valence_electron_count.ipynb new file mode 100644 index 00000000..a5bc28c6 --- /dev/null +++ b/docs/examples/valence_electron_count.ipynb @@ -0,0 +1,73 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Using the valence electron concentration\n", + "\n", + "A property that is often used in studies of metallic compounds is the valence electron concentration (VEC). It has proven useful in determining the phase stability of intermetallic compounds and in predicting the crystal structure of metallic compounds. The VEC is defined as the number of valence electrons per atom in a compound.\n", + "\n", + "It's formula is given by:\n", + "\n", + "$$\\text{VEC} = \\sum_{i=1}^{n} c_{i}(\\text{VEC})_{i}$$\n", + "\n", + "\n", + "where $c_{i}$ is the concentration of the $i$-th element in the compound and $(\\text{VEC})_{i}$ is the valence electron concentration of the $i$-th element.\n", + "\n", + "`smact` has a built-in function to calculate the VEC of a compound. Let's see how to use it." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Cu0.5NiAlCoCrFeSi has a VEC of 7.00\n", + "WNbMoTa has a VEC of 5.50\n", + "AlCoCrCu0.5FeNi3 has a VEC of 8.20\n", + "Ca65Mg15Zn20 has a VEC of 4.00\n" + ] + } + ], + "source": [ + "import smact.properties # Importing the SMACT properties module\n", + "\n", + "# List of chemical formulas for which VEC will be calculated\n", + "formulas = [\"Cu0.5NiAlCoCrFeSi\", \"WNbMoTa\", \"AlCoCrCu0.5FeNi3\", \"Ca65Mg15Zn20\"]\n", + "\n", + "# Calculate VEC for each formula using a list comprehension\n", + "valence_electron_concentrations = [smact.properties.valence_electron_count(formula) for formula in formulas]\n", + "\n", + "# Print the VEC for each formula\n", + "for formula, vec in zip(formulas, valence_electron_concentrations):\n", + " print(f\"{formula} has a VEC of {vec:.2f}\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "smact_dev", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/docs/examples/validity.ipynb b/docs/examples/validity.ipynb new file mode 100644 index 00000000..e41e5daf --- /dev/null +++ b/docs/examples/validity.ipynb @@ -0,0 +1,87 @@ +{ + "cells": [ + { + "attachments": {}, + "cell_type": "markdown", + "id": "0", + "metadata": {}, + "source": [ + "# Using validity \n", + "\n", + "The `smact_validity` function from the `smact.screening` module is used to validate chemical compositions according to the chemical rules. A composition is considered valid if it passes two key tests:\n", + "\n", + "1. **Charge Neutrality Test**: Ensures that the composition is charge-balanced.\n", + "\n", + "2. **Pauling Electronegativity Test**: Ensures that the elements in the composition have appropriate electronegativity differences.\n", + "\n", + "In this example, we apply the `smact_validity` function to a list of chemical compounds extracted from a dataset. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Compound smact_allowed\n", + "0 NaCl True\n", + "1 K2O True\n", + "2 Fe2O3 True\n", + "3 C12H22O11 False\n", + "4 CsO8 False\n", + "smact_allowed\n", + "True 0.6\n", + "False 0.4\n", + "Name: proportion, dtype: float64\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "from smact.screening import smact_validity\n", + "import re\n", + "\n", + "# Dataset\n", + "data = [\"NaCl\", \"K2O\", \"Fe2O3\", \"C12H22O11\", \"CsO8\"]\n", + "\n", + "# Create a DataFrame with compound data\n", + "df = pd.DataFrame(data, columns=[\"Compound\"])\n", + "\n", + "# Apply smact_validity to check if compounds are valid according to SMACT rules\n", + "df[\"smact_allowed\"] = df[\"Compound\"].apply(smact_validity)\n", + "\n", + "# Display the filtered and validated DataFrame\n", + "print(df)\n", + "\n", + "# Calculate and display the fraction of valid compounds\n", + "fractions = df[\"smact_allowed\"].value_counts(normalize=True)\n", + "print(fractions)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "venv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/index.rst b/docs/index.rst index afe0fb4a..ca6f7ac7 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -8,6 +8,44 @@ Semiconducting Materials from Analogy and Chemical Theory View the code on Github `here `_. +Introduction +============ + +:mod:`smact` is a collection of tools and examples for "low-fi" screening of +potential semiconducting materials through the use of chemical +rules. + +:mod:`smact` uses a combination of heuristics and models derived from data to +rapidly search large areas of chemical space. This combination of methods +allows :mod:`smact` to identify new materials for applications such as photovoltaics, +water splitting and thermoelectrics. + +Features of :mod:`smact` include: + +- Chemical elements with associated properties +- Filters for oxidation states and charge balancing +- Structure predcition from chemical composition +- Composition probability prediction + +Install +======= + +The package is available *via* :code:`pip install smact`. + +License and citation +==================== + +:mod:`smact` is distributed under an MIT license. + +To cite the theory of :mod:`smact` please use: + +- `Computational screening of all stoichiometric inorganic materials `_ + +To cite the code of :mod:`smact` please use: + +- `SMACT: Semiconducting Materials by Analogy and Chemical Theory `_ + + Contents: .. toctree:: @@ -16,6 +54,7 @@ Contents: introduction getting_started examples + tutorials smact @@ -25,4 +64,3 @@ Indices and tables * :ref:`genindex` * :ref:`modindex` * :ref:`search` - diff --git a/docs/introduction.rst b/docs/introduction.rst index 16453c5c..055ba937 100644 --- a/docs/introduction.rst +++ b/docs/introduction.rst @@ -9,7 +9,37 @@ rules. :mod:`smact` uses a combination of heuristics and models derived from data to rapidly search large areas of chemical space. This combination of methods allows :mod:`smact` to identify new materials for applications such as photovoltaics, -water splitting and thermoelectrics. Read more about :mod:`smact` in our publications: +water splitting and thermoelectrics. + +Features of :mod:`smact` include: + +- Chemical elements with associated properties +- Filters for oxidation states and charge balancing +- Structure prediction from chemical composition +- Composition probability prediction + +Install +======= + +The package is available *via* :code:`pip install smact`. + +License and citation +==================== + +:mod:`smact` is distributed under an MIT license. + +To cite the theory of :mod:`smact` please use: + +- `Computational screening of all stoichiometric inorganic materials `_ + +To cite the code of :mod:`smact` please use: + +- `SMACT: Semiconducting Materials by Analogy and Chemical Theory `_ + +Studies using smact +=================== + +Read more about :mod:`smact` in our publications: - `Computational screening of all stoichiometric inorganic materials `_ - `Computer-aided design of metal chalcohalide semiconductors: from chemical composition to crystal structure `_ @@ -18,7 +48,6 @@ water splitting and thermoelectrics. Read more about :mod:`smact` in our publica This approach is inspired by the work of Harrison [1]_ and Pamplin [2]_. The work is an active project in the `Materials Design Group `_. -The package is available *via* :code:`pip install smact`. We are also developing a set of Jupyter Notebook examples `here `_. diff --git a/docs/requirements.in b/docs/requirements.in index 6fe24603..7ccc64b1 100644 --- a/docs/requirements.in +++ b/docs/requirements.in @@ -1,4 +1,6 @@ # Defining the exact version will make sure things don't break sphinx==5.3.0 sphinx_rtd_theme==2.0.0 -readthedocs-sphinx-search==0.3.2 \ No newline at end of file +readthedocs-sphinx-search==0.3.2 +sphinx-book-theme==1.1.3 +myst-nb==1.1.1 diff --git a/docs/requirements.txt b/docs/requirements.txt index db3c168b..311c3a3a 100644 --- a/docs/requirements.txt +++ b/docs/requirements.txt @@ -1,48 +1,186 @@ # -# This file is autogenerated by pip-compile with Python 3.8 +# This file is autogenerated by pip-compile with Python 3.10 # by the following command: # -# pip-compile +# pip-compile requirements.in # +accessible-pygments==0.0.5 + # via pydata-sphinx-theme alabaster==0.7.13 # via sphinx +appnope==0.1.4 + # via ipykernel +asttokens==2.4.1 + # via stack-data +attrs==24.2.0 + # via + # jsonschema + # jupyter-cache + # referencing babel==2.12.1 - # via sphinx + # via + # pydata-sphinx-theme + # sphinx +beautifulsoup4==4.12.3 + # via pydata-sphinx-theme certifi==2024.7.4 # via requests charset-normalizer==3.2.0 # via requests +click==8.1.7 + # via jupyter-cache +comm==0.2.2 + # via ipykernel +debugpy==1.8.5 + # via ipykernel +decorator==5.1.1 + # via ipython docutils==0.17.1 # via + # myst-parser + # pydata-sphinx-theme # sphinx # sphinx-rtd-theme +exceptiongroup==1.2.2 + # via ipython +executing==2.0.1 + # via stack-data +fastjsonschema==2.20.0 + # via nbformat idna==3.7 # via requests imagesize==1.4.1 # via sphinx -importlib-metadata==7.0.1 - # via sphinx +importlib-metadata==8.2.0 + # via + # jupyter-cache + # myst-nb +ipykernel==6.29.5 + # via myst-nb +ipython==8.26.0 + # via + # ipykernel + # myst-nb +jedi==0.19.1 + # via ipython jinja2==3.1.4 - # via sphinx + # via + # myst-parser + # sphinx +jsonschema==4.23.0 + # via nbformat +jsonschema-specifications==2023.12.1 + # via jsonschema +jupyter-cache==1.0.0 + # via myst-nb +jupyter-client==8.6.2 + # via + # ipykernel + # nbclient +jupyter-core==5.7.2 + # via + # ipykernel + # jupyter-client + # nbclient + # nbformat +markdown-it-py==2.2.0 + # via + # mdit-py-plugins + # myst-parser markupsafe==2.1.3 # via jinja2 +matplotlib-inline==0.1.7 + # via + # ipykernel + # ipython +mdit-py-plugins==0.3.5 + # via myst-parser +mdurl==0.1.2 + # via markdown-it-py +myst-nb==1.1.1 + # via -r requirements.in +myst-parser==1.0.0 + # via myst-nb +nbclient==0.10.0 + # via + # jupyter-cache + # myst-nb +nbformat==5.10.4 + # via + # jupyter-cache + # myst-nb + # nbclient +nest-asyncio==1.6.0 + # via ipykernel packaging==23.1 - # via sphinx + # via + # ipykernel + # pydata-sphinx-theme + # sphinx +parso==0.8.4 + # via jedi +pexpect==4.9.0 + # via ipython +platformdirs==4.2.2 + # via jupyter-core +prompt-toolkit==3.0.47 + # via ipython +psutil==6.0.0 + # via ipykernel +ptyprocess==0.7.0 + # via pexpect +pure-eval==0.2.3 + # via stack-data +pydata-sphinx-theme==0.15.4 + # via sphinx-book-theme pygments==2.16.1 - # via sphinx -pytz==2023.3.post1 - # via babel + # via + # accessible-pygments + # ipython + # pydata-sphinx-theme + # sphinx +python-dateutil==2.9.0.post0 + # via jupyter-client +pyyaml==6.0.2 + # via + # jupyter-cache + # myst-nb + # myst-parser +pyzmq==26.1.0 + # via + # ipykernel + # jupyter-client readthedocs-sphinx-search==0.3.2 # via -r requirements.in +referencing==0.35.1 + # via + # jsonschema + # jsonschema-specifications requests==2.32.0 # via sphinx +rpds-py==0.20.0 + # via + # jsonschema + # referencing +six==1.16.0 + # via + # asttokens + # python-dateutil snowballstemmer==2.2.0 # via sphinx +soupsieve==2.6 + # via beautifulsoup4 sphinx==5.3.0 # via # -r requirements.in + # myst-nb + # myst-parser + # pydata-sphinx-theme + # sphinx-book-theme # sphinx-rtd-theme # sphinxcontrib-jquery +sphinx-book-theme==1.1.3 + # via -r requirements.in sphinx-rtd-theme==2.0.0 # via -r requirements.in sphinxcontrib-applehelp==1.0.4 @@ -59,7 +197,35 @@ sphinxcontrib-qthelp==1.0.3 # via sphinx sphinxcontrib-serializinghtml==1.1.5 # via sphinx +sqlalchemy==2.0.32 + # via jupyter-cache +stack-data==0.6.3 + # via ipython +tabulate==0.9.0 + # via jupyter-cache +tornado==6.4.1 + # via + # ipykernel + # jupyter-client +traitlets==5.14.3 + # via + # comm + # ipykernel + # ipython + # jupyter-client + # jupyter-core + # matplotlib-inline + # nbclient + # nbformat +typing-extensions==4.12.2 + # via + # ipython + # myst-nb + # pydata-sphinx-theme + # sqlalchemy urllib3==2.2.2 # via requests -zipp==3.19.1 +wcwidth==0.2.13 + # via prompt-toolkit +zipp==3.20.0 # via importlib-metadata diff --git a/docs/smact.dopant_prediction.doper.rst b/docs/smact.dopant_prediction.doper.rst index 28e0ad8c..55b3962f 100644 --- a/docs/smact.dopant_prediction.doper.rst +++ b/docs/smact.dopant_prediction.doper.rst @@ -1,7 +1,7 @@ smact.dopant_prediction.doper module ============================= -A class to create possible n-type and p-type dopants according to +A class to create possible n-type and p-type dopants according to their accessible oxidation states. .. automodule:: smact.dopant_prediction.doper diff --git a/docs/smact.dopant_prediction.rst b/docs/smact.dopant_prediction.rst index df1fbc95..ba3d1114 100644 --- a/docs/smact.dopant_prediction.rst +++ b/docs/smact.dopant_prediction.rst @@ -1,9 +1,9 @@ Dopant Prediction Module =========================== -The dopant prediction module facilitates high-throughput prediction of p-type and n-type dopants in multi-component solids. The search and ranking process is based on electronic filters (e.g. accessible oxidation states) and chemical filters (e.g. difference in ionic radius). +The dopant prediction module facilitates high-throughput prediction of p-type and n-type dopants in multi-component solids. The search and ranking process is based on electronic filters (e.g. accessible oxidation states) and chemical filters (e.g. difference in ionic radius). -#. +#. :class:`~smact.dopant_prediction.doper`, A class to identify possible dopants. The output is the candidate species in the form of a dictionary with "n_type_cation", "p_type_cation", "n_type_anion", "p_type_anion", ranked by the corresponding elemental substitution probabilities. @@ -13,4 +13,3 @@ Submodules .. toctree:: smact.dopant_prediction.doper - diff --git a/docs/smact.properties.rst b/docs/smact.properties.rst index 43136104..49d57019 100644 --- a/docs/smact.properties.rst +++ b/docs/smact.properties.rst @@ -13,7 +13,7 @@ photoelectric threshold: [1]_ In other words, the computed group :math:`2.86(\chi_{A}\chi_{B})^{1/2}` -is the mid-gap energy. The valence band maximum/conduction band minimum positions +is the mid-gap energy. The valence band maximum/conduction band minimum positions can be estimated by subtracting/adding half of the band gap :math:`E_g`. This is an extension Mulliken's electronegativity scale in which :math:`\chi_{A} = (I_{A} + E_{A})/2` (where :math:`I` and :math:`E` diff --git a/docs/smact.utils.rst b/docs/smact.utils.rst index 06d0a868..4128fe28 100644 --- a/docs/smact.utils.rst +++ b/docs/smact.utils.rst @@ -1,7 +1,7 @@ SMACT Utilities module =========================== -The utilities module provides some utilty functions to support the core functionalities of SMACT +The utilities module provides some utility functions to support the core functionalities of SMACT Submodules ---------- @@ -9,3 +9,7 @@ Submodules .. toctree:: smact.utils.composition + smact.utils.band_gap_simple + smact.utils.download_compounds_with_mp_api + smact.utils.generate_composition_with_smact + smact.utils.plot_embeddings diff --git a/docs/smact_toc.jpg b/docs/smact_toc.jpg new file mode 100644 index 00000000..c64b37eb Binary files /dev/null and b/docs/smact_toc.jpg differ diff --git a/docs/tutorials.rst b/docs/tutorials.rst new file mode 100644 index 00000000..401aac2a --- /dev/null +++ b/docs/tutorials.rst @@ -0,0 +1,15 @@ +.. _tutorials: + +Tutorials +=========================================================== + +Tutorials are intended as a more complete example of `smact` being applied in real applications, as opposed to the examples, which provide a demonstration of how to use specific functions and modules. + +.. toctree:: + :maxdepth: 1 + + tutorials/crystal_space + tutorials/crystal_space_visualisation + tutorials/smact_validity_of_GNoMe + tutorials/smact_generation_of_solar_oxides + tutorials/oxidation_states diff --git a/docs/tutorials/crystal_space.ipynb b/docs/tutorials/crystal_space.ipynb new file mode 100644 index 00000000..fb29b86e --- /dev/null +++ b/docs/tutorials/crystal_space.ipynb @@ -0,0 +1,268 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Exploring crystal space" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Our goal is to generate, analyze, and categorize chemical compositions, making it easier to discover interesting and useful materials. This tutorial is based on a publication in [Faraday Discussions](https://pubs.rsc.org/en/content/articlelanding/2024/fd/d4fd00063c)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1. Getting started\n", + "\n", + "In this tutorial, we'll:\n", + "\n", + "- Generate binary chemical compositions using the SMACT filter.\n", + "- Explore whether these compositions exist in the Materials Project database.\n", + "- Categorize the compositions based on whether they pass the SMACT filter and whether they are found in the database.\n", + "\n", + "The final phase will categorize the compositions into four distinct categories based on their properties. The categorization is based on whether a composition is allowed by the SMACT filter (smact_allowed) and whether it is present in the Materials Project database (mp). The categories are as follows:\n", + "\n", + "| smact_allowed | mp | label |\n", + "|---------------|------|------------|\n", + "| yes | yes | standard |\n", + "| yes | no | missing |\n", + "| no | yes | interesting|\n", + "| no | no | unlikely |" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2. Generating compositions\n", + "\n", + "First, we'll create binary chemical compositions using the SMACT filter. The SMACT filter is a smart tool that helps us select compositions based on important chemical rules, such as oxidation states and electronegativity.\n", + "\n", + "To generate these compositions, we'll use a function called [`generate_composition_with_smact`](../smact/utils/generate_composition_with_smact.py). This function allows us to enumerate all possible binary compositions and filter them based on the SMACT rules. \n", + "\n", + "### Key parameters:\n", + "- `num_elements`: Number of elements in the composition (e.g., 2 for binary).\n", + "- `max_stoich`: The maximum ratio of each element (e.g., 8 could mean up to 8 atoms of each element).\n", + "- `max_atomic_num`: Maximum atomic number for the elements considered\n", + "- `num_processes`: Number of processes to run in parallel to speed up calculations.\n", + "- `save_path`: Where to save the generated compositions." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/WMD-group/SMACT/blob/docs_updates/docs/tutorials/crystal_space.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Install the required packages\n", + "try:\n", + " import google.colab\n", + "\n", + " IN_COLAB = True\n", + "except:\n", + " IN_COLAB = False\n", + "\n", + "if IN_COLAB:\n", + " !pip install git+https://github.com/WMD-group/SMACT.git --quiet\n", + " !pip install -q mp_api" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from smact.utils.crystal_space.generate_composition_with_smact import (\n", + " generate_composition_with_smact,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df_smact = generate_composition_with_smact(\n", + " num_elements=2,\n", + " max_stoich=8,\n", + " max_atomic_num=103,\n", + " num_processes=8,\n", + " save_path=\"data/binary/df_binary_label.pkl\",\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df_smact" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3. Download data from the Materials Project" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Next, we download data from the `Materials Project api` using the `download_mp_data` function. This function allows us to download data for a given number of elements and maximum stoichiometry. The data includes the chemical formula, energy, and other properties of the compounds.\n", + "\n", + "[`download_mp_data`](../smact/utils/download_compounds_with_mp_api.py) function takes in the following parameters:\n", + "\n", + "### Key parameters:\n", + "- `mp_api_key`: your Materials Project API key\n", + "- `num_elements`: Number of elements in the composition (e.g., 2 for binary).\n", + "- `max_stoich`: The maximum ratio of each element (e.g., 8 could mean up to 8 atoms of each element).\n", + "- `save_dir`: Where to save the downloaded data" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "mp_api_key = None # replace with your own MP API key" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "save_mp_dir = \"data/binary/mp_data\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from smact.utils.crystal_space.download_compounds_with_mp_api import download_mp_data\n", + "\n", + "# download data from MP for binary compounds\n", + "docs = download_mp_data(\n", + " mp_api_key=mp_api_key,\n", + " num_elements=2,\n", + " max_stoich=8,\n", + " save_dir=save_mp_dir,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4. Categorise compositions" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Finally, we categorize the compositions into four labels: standard, missing, interesting, and unlikely." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "from pathlib import Path\n", + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "mp_data = {p.stem: True for p in Path(save_mp_dir).glob(\"*.json\")}\n", + "df_mp = pd.DataFrame.from_dict(mp_data, orient=\"index\", columns=[\"mp\"])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# make category dataframe\n", + "df_category = df_smact.join(df_mp, how=\"left\").fillna(False)\n", + "# make label for each category\n", + "dict_label = {\n", + " (True, True): \"standard\",\n", + " (True, False): \"missing\",\n", + " (False, True): \"interesting\",\n", + " (False, False): \"unlikely\",\n", + "}\n", + "df_category[\"label\"] = df_category.apply(lambda x: dict_label[(x[\"smact_allowed\"], x[\"mp\"])], axis=1)\n", + "df_category[\"label\"].apply(dict_label.get)\n", + "\n", + "# count number of each label\n", + "print(df_category[\"label\"].value_counts())\n", + "\n", + "# save dataframe\n", + "df_category.to_pickle(\"data/binary/df_binary_category.pkl\")\n", + "\n", + "# show df_category\n", + "df_category.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Next steps\n", + "\n", + "move to [`crystal_space_visualisation.ipynb`](crystal_space_visualisation.ipynb) to visualize the data and explore the chemical space." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.14" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/examples/Crystal_Space/1_reduction.ipynb b/docs/tutorials/crystal_space_visualisation.ipynb similarity index 85% rename from examples/Crystal_Space/1_reduction.ipynb rename to docs/tutorials/crystal_space_visualisation.ipynb index cb178649..a16de2b0 100644 --- a/examples/Crystal_Space/1_reduction.ipynb +++ b/docs/tutorials/crystal_space_visualisation.ipynb @@ -4,22 +4,22 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Dimension Reduction" + "# Visualising crystal space" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "In this notebook, we will use the dimension reduction techniques to reduce the dimension of the data. We will use the following techniques:\n", + "(prerequisite: [crystal_space_with_smact.ipynb](./crystal_space_with_smact.ipynb))\n", + "\n", + "In this tutorial, we will use the dimension reduction techniques to visualise a large crystal space. We will use the following techniques:\n", "\n", "- Principal Component Analysis (PCA)\n", "- t-distributed Stochastic Neighbor Embedding (t-SNE)\n", "- Uniform Manifold Approximation and Projection (UMAP)\n", "\n", - "we will make composional embedding created by element embeddings, as follows:\n", - "\n", - "(Please refer to [ElementEmbeddings](https://wmd-group.github.io/ElementEmbeddings/0.4/reference/) for the details of element embedding)\n", + "we will make composional embedding created by [ElementEmbeddings](https://wmd-group.github.io/ElementEmbeddings/0.4/reference/), as follows:\n", "\n", "- Magpie\n", "- Mat2Vec\n", @@ -33,7 +33,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## 1. Element Embeddings" + "## 1. Element embeddings" ] }, { @@ -43,13 +43,32 @@ "To begin, we will make compositional embedding created by element embeddings using the ElementEmbeddings package." ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/WMD-group/SMACT/blob/docs_updates/docs/tutorials/crystal_space_visualisation.ipynb)" + ] + }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "# pip install ElementEmbeddings" + "# Install the required packages\n", + "try:\n", + " import google.colab\n", + "\n", + " IN_COLAB = True\n", + "except:\n", + " IN_COLAB = False\n", + "\n", + "if IN_COLAB:\n", + " !pip install git+https://github.com/WMD-group/SMACT.git --quiet\n", + " !pip install -q ElementEmbeddings\n", + " !pip install umap-learn==0.5.3\n", + " !pip install -q kaleido" ] }, { @@ -96,8 +115,7 @@ "metadata": {}, "outputs": [], "source": [ - "df_category = pd.read_pickle(save_dir / \"df_binary_category.pkl\")\n", - "df_category" + "df_category = pd.read_pickle(save_dir / \"df_binary_category.pkl\")" ] }, { @@ -107,7 +125,7 @@ "outputs": [], "source": [ "# sampling\n", - "n_samples = 3000\n", + "n_samples = 100 # 3000 for \"Mapping inorganic crystal chemical space\" paper\n", "\n", "dict_label = {\n", " \"standard\": 0,\n", @@ -163,20 +181,14 @@ " raise TypeError(\"formula must be a string or a list of strings\")\n", "\n", " # get embedding dimension\n", - " embedding_dim = CompositionalEmbedding(\n", - " \"\", embedding=embedding\n", - " ).embedding_dim\n", + " embedding_dim = CompositionalEmbedding(\"\", embedding=embedding).embedding.dim\n", "\n", " # compute embedding\n", " embeddings = []\n", " for f in tqdm(formula):\n", " try:\n", - " compositional_embedding = CompositionalEmbedding(\n", - " f, embedding=embedding\n", - " )\n", - " embeddings.append(\n", - " compositional_embedding.feature_vector(stats=stats)\n", - " )\n", + " compositional_embedding = CompositionalEmbedding(f, embedding=embedding)\n", + " embeddings.append(compositional_embedding.feature_vector(stats=stats))\n", " except Exception as e:\n", " # the exception is raised when the embedding doesn't support the element\n", " embeddings.append(np.full(embedding_dim, np.nan))\n", @@ -210,7 +222,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## 2. Dimension Reduction" + "## 2. Dimension reduction" ] }, { @@ -220,15 +232,6 @@ "Next, we will use the dimension reduction techniques to reduce the dimension of the data." ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# pip install umap-learn==0.5.3" - ] - }, { "cell_type": "code", "execution_count": null, @@ -295,9 +298,7 @@ " file_name = f\"reduced_embeddings_{reducer.__class__.__name__}.pkl\"\n", " else:\n", " file_name = f\"{file_name}.pkl\"\n", - " pd.DataFrame(reduced_embeddings, index=embeddings.index).to_pickle(\n", - " save_dir / file_name\n", - " )\n", + " pd.DataFrame(reduced_embeddings, index=embeddings.index).to_pickle(save_dir / file_name)\n", " print(f\"Saved reduced embeddings to {save_dir / file_name}\")\n", " return reduced_embeddings" ] @@ -315,11 +316,7 @@ "for name in embedding_names:\n", " for reducer in reducers:\n", " print(f\"Computing {name} {reducer} embeddings\")\n", - "\n", - " embeddings = pd.read_pickle(\n", - " save_dir / \"embeddings\" / f\"embeddings_{name}.pkl\"\n", - " )\n", - "\n", + " embeddings = pd.read_pickle(save_dir / \"embeddings\" / f\"embeddings_{name}.pkl\")\n", " reduced_embeddings = dimension_reduction(\n", " embeddings,\n", " reducer=reducer,\n", @@ -334,16 +331,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## 3. Visualization of the Reduced Embeddings" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# pip install -U kaleido" + "## 3. Visualisation of the low dimensional embeddings" ] }, { @@ -352,7 +340,7 @@ "metadata": {}, "outputs": [], "source": [ - "from plot_embedding import plot_reducers_embeddings" + "from smact.utils.crystal_space.plot_embedding import plot_reducers_embeddings" ] }, { @@ -374,13 +362,13 @@ " title=\"Compositional space for binary compounds\",\n", " save_path=save_path,\n", ")\n", - "# check the plot in save_path" + "fig" ] } ], "metadata": { "kernelspec": { - "display_name": "smact", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -394,9 +382,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.8.18" + "version": "3.10.14" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } diff --git a/examples/Oxidation_states/oxidation_states.ipynb b/docs/tutorials/oxidation_states.ipynb similarity index 80% rename from examples/Oxidation_states/oxidation_states.ipynb rename to docs/tutorials/oxidation_states.ipynb index 45908c2b..d29bdf5b 100644 --- a/examples/Oxidation_states/oxidation_states.ipynb +++ b/docs/tutorials/oxidation_states.ipynb @@ -4,234 +4,52 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Oxidation states\n", - "Here, we will demonstrate the main functionalities of the `oxidation_states` submodule of SMACT." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "# Imports\n", - "import re\n", - "from itertools import combinations, product\n", - "\n", - "import matplotlib.pyplot as plt\n", - "import multiprocess\n", - "import numpy as np\n", - "import pandas as pd\n", - "from pymatgen.core import Composition, Structure\n", - "\n", - "import smact\n", - "from smact import Element, Species, screening\n", - "from smact.oxidation_states import Oxidation_state_probability_finder" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Getting started with the oxidation_states submodule\n", - "\n", - "The main class of the `smact.oxidation_states` submodule is `Oxidation_state_probability_finder`. We will demonstrate the usage of the methods of this class below." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "# Instantiate the oxidation state probability finder class with the default table\n", - "ox_prob_finder = Oxidation_state_probability_finder()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "After instantiating the class, we can examine what species are included in the probability table through the `get_included_species` method." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The species included in the probability table for the oxidation states model are show below \n", - "['Cl-1', 'O-2', 'S-2', 'I-1', 'Br-1', 'F-1', 'Se-2', 'Te-2', 'La2', 'Pr2', 'Tb2', 'Sc1', 'Cr3', 'Sc2', 'Tl3', 'Ru2', 'Mn7', 'W3', 'Ir5', 'Ru6', 'Ho3', 'Ag3', 'Cs1', 'Eu3', 'Mn2', 'Cd2', 'Re2', 'In3', 'Ta1', 'Ca2', 'Re7', 'U5', 'Zn2', 'Yb3', 'Hg2', 'W5', 'Co3', 'Ru5', 'Er3', 'Sm2', 'Ir3', 'Ru4', 'Sb4', 'Zr3', 'Lu3', 'Ta5', 'Ru3', 'U2', 'Tl1', 'V4', 'La3', 'Re3', 'Ag1', 'Sn2', 'Sm3', 'Th4', 'Tm2', 'Ga3', 'Co1', 'Ce3', 'Co2', 'Rh4', 'Bi5', 'Pd4', 'Pb2', 'Gd2', 'Nb4', 'Gd3', 'Bi1', 'Li1', 'Pd2', 'V5', 'Y3', 'Dy2', 'Sn4', 'Th3', 'Sb5', 'Fe4', 'Cr6', 'W4', 'Ti3', 'Ni2', 'Re5', 'U3', 'Ge2', 'Sn3', 'Bi3', 'Eu2', 'Sc3', 'Zr4', 'In2', 'Cr5', 'Mn3', 'Tb3', 'Ag2', 'Fe3', 'Ir4', 'Ga1', 'Cu2', 'Sr2', 'W2', 'Mo5', 'Tb4', 'Mn6', 'Ta4', 'Cu1', 'Fe2', 'Mn4', 'U6', 'Pr3', 'Bi2', 'Zr2', 'Nd3', 'Ta3', 'Ti2', 'Mg2', 'Cu3', 'V2', 'Tm3', 'W6', 'Rb1', 'Ta2', 'K1', 'Ga2', 'Ti4', 'Ba2', 'Mn1', 'La1', 'Cr2', 'Al3', 'U4', 'Ge4', 'Nd2', 'Mo3', 'Yb2', 'Tb1', 'Ge3', 'Ni1', 'Nb5', 'Rh3', 'Hf4', 'Nb3', 'Ni3', 'Dy3', 'Re6', 'Na1', 'In1', 'Hg1', 'Rh1', 'Y2', 'Pd3', 'Ce2', 'Sb3', 'Cr4', 'Y1', 'Zr1', 'Hf2', 'Pb4', 'Nb1', 'Fe1', 'Ni4', 'Ce4', 'Mn5', 'Mo6', 'Ho2', 'Nb2', 'Ir6', 'Mo4', 'V3', 'Mo2', 'Co4', 'Re4', 'Be2']\n" - ] - } - ], - "source": [ - "included_species = ox_prob_finder.get_included_species()\n", - "\n", - "print(\n", - " f\"The species included in the probability table for the oxidation states model are show below \\n{included_species}\"\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can compute the probability of a cation-anion pair appearing together using the method `pair_probability` as demonstrated below for Al3+ and O2-. The pair probability for a species-anion pair ($P_{SA}$) is given by:\n", - "\n", - "$P_{SA} = \\frac{N_{SX}}{N_{MX}}$\n", - "\n", - "where $N_{MX}$ is the total number of compounds containing the metal element M, and X is the most electronegative anion." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " The probability of Al existing in 3+ oxidation states with O in a 2- oxidation state is 1.0\n" - ] - } - ], - "source": [ - "Al = Species(\"Al\", oxidation=3, coordination=6)\n", - "O = Species(\"O\", oxidation=-2, coordination=6)\n", + "## Filtering a search space using oxidation states\n", "\n", - "print(\n", - " f\" The probability of Al existing in 3+ oxidation states with O in a 2- oxidation state is {ox_prob_finder.pair_probability(Al,O)}\"\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We can also compute the compound probability which for a ternary compound, AaBbXx, is given by:\n", - "\n", - "$P_{A_{a}B_{b}X_{x}} = P_{AX}P_{BX} = \\frac{N_{AX}}{N_{M_{A}X}} \\times \\frac{N_{BX}}{N_{M_{B}X}}$\n", - "\n", - "We will calculate $P_{CaAl_{2}O_{4}}$." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The compound probability for CaAl2O4 is 1.0.\n" - ] - } - ], - "source": [ - "# Create a list of species for our compound of interest\n", - "CaAl2O4 = [Species(\"Ca\", 2), Species(\"Al\", 3), Species(\"O\", -2)]\n", + "Let's attempt to perform the first steps in a high-throughput compound design workflow which involves:\n", "\n", - "prob_compound = ox_prob_finder.compound_probability(CaAl2O4)\n", + "* Generating the search space using SMACT\n", "\n", - "print(f\"The compound probability for CaAl2O4 is {prob_compound}.\")" + "* Filtering the search space using the oxidation states model." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "We can compute this compound probability for a pymatgen Structure as well." + "[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/WMD-group/SMACT/blob/docs_updates/docs/tutorials/oxidation_states.ipynb)" ] }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "The structure of mp-540839 CsPbI3:\n", - "\n", - "Full Formula (Cs4 Pb4 I12)\n", - "Reduced Formula: CsPbI3\n", - "abc : 4.847142 10.650447 18.031199\n", - "angles: 90.000000 90.000000 90.000000\n", - "pbc : True True True\n", - "Sites (20)\n", - " # SP a b c\n", - "--- ---- ---- -------- --------\n", - " 0 Cs+ 0.75 0.581276 0.17212\n", - " 1 Cs+ 0.25 0.418724 0.82788\n", - " 2 Cs+ 0.75 0.081276 0.32788\n", - " 3 Cs+ 0.25 0.918724 0.67212\n", - " 4 Pb2+ 0.25 0.661849 0.439217\n", - " 5 Pb2+ 0.75 0.338151 0.560783\n", - " 6 Pb2+ 0.25 0.161849 0.060783\n", - " 7 Pb2+ 0.75 0.838151 0.939217\n", - " 8 I- 0.75 0.837211 0.502045\n", - " 9 I- 0.25 0.162789 0.497955\n", - " 10 I- 0.75 0.337211 0.997955\n", - " 11 I- 0.25 0.662789 0.002045\n", - " 12 I- 0.25 0.529272 0.612308\n", - " 13 I- 0.75 0.470728 0.387692\n", - " 14 I- 0.25 0.029272 0.887692\n", - " 15 I- 0.75 0.970728 0.112308\n", - " 16 I- 0.25 0.796317 0.287306\n", - " 17 I- 0.75 0.203683 0.712694\n", - " 18 I- 0.25 0.296317 0.212694\n", - " 19 I- 0.75 0.703683 0.787306\n", - "\n", - "The compound probability for CsPbI3 is 1.0.\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/codespace/.python/current/lib/python3.10/site-packages/pymatgen/io/cif.py:1186: UserWarning: The default value of primitive was changed from True to False in https://github.com/materialsproject/pymatgen/pull/3419. CifParser now returns the cell in the CIF file as is. If you want the primitive cell, please set primitive=True explicitly.\n", - " warnings.warn(\n" - ] - } - ], + "outputs": [], "source": [ - "# Load the structure file\n", + "# Install the required packages\n", + "try:\n", + " import google.colab\n", "\n", - "struct = Structure.from_file(\"mp-540839_CsPbI3_oxi.cif\")\n", - "print(\"The structure of mp-540839 CsPbI3:\\n\")\n", - "print(struct)\n", + " IN_COLAB = True\n", + "except:\n", + " IN_COLAB = False\n", "\n", + "if IN_COLAB:\n", + " !pip install git+https://github.com/WMD-group/SMACT.git --quiet\n", "\n", - "# Get the compound probability for CsPbI3\n", - "prob = ox_prob_finder.compound_probability(struct)\n", + "# Imports\n", + "import re\n", + "from itertools import combinations\n", "\n", - "print(f\"\\nThe compound probability for CsPbI3 is {prob_compound}.\")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Filtering a SMACT search space using the oxidation states model\n", + "import matplotlib.pyplot as plt\n", + "import multiprocess\n", + "import numpy as np\n", + "import pandas as pd\n", + "from pymatgen.core import Composition\n", "\n", - "Let's attempt to perform the first steps in a high-throughput compound design workflow which involves:\n", - "* Generating the search space using SMACT\n", - "* Filtering the search space using the oxidation states model." + "import smact\n", + "from smact import Species, screening\n", + "from smact.oxidation_states import Oxidation_state_probability_finder" ] }, { @@ -243,7 +61,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": { "tags": [ "hide-input", @@ -252,19 +70,14 @@ }, "outputs": [], "source": [ + "# Instantiate the oxidation state probability finder class with the default table\n", + "ox_prob_finder = Oxidation_state_probability_finder()\n", + "\n", "# Get the cations that are in the probability table\n", - "cations = [\n", - " species\n", - " for species in ox_prob_finder.get_included_species()\n", - " if \"-\" not in species\n", - "]\n", + "cations = [species for species in ox_prob_finder.get_included_species() if \"-\" not in species]\n", "\n", "# Get the symbols of the d-block elements\n", - "d_block_symbols = (\n", - " smact.ordered_elements(21, 30)\n", - " + smact.ordered_elements(39, 48)\n", - " + smact.ordered_elements(71, 80)\n", - ")\n", + "d_block_symbols = smact.ordered_elements(21, 30) + smact.ordered_elements(39, 48) + smact.ordered_elements(71, 80)\n", "\n", "# This function will parse the species included in the probability table\n", "\n", @@ -311,9 +124,7 @@ " cn_e, cn_r = smact.neutral_ratios(ox_states, threshold=8)\n", " if cn_e:\n", " # Electronegativity test\n", - " electroneg_OK = screening.pauling_test(\n", - " ox_states, electronegativities\n", - " )\n", + " electroneg_OK = screening.pauling_test(ox_states, electronegativities)\n", " if electroneg_OK:\n", " compound = tuple(\n", " [\n", @@ -329,7 +140,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": { "tags": [ "hide-input", @@ -344,11 +155,11 @@ "Number of compositions: 14832\n", "Each list entry looks like this:\n", " elements, oxidation states, stoichiometries\n", - "['Sc', 'Cr', 'F'] (1, 3, -1) (1, 1, 4)\n", - "['Sc', 'Cr', 'Cl'] (1, 3, -1) (1, 1, 4)\n", - "['Sc', 'Cr', 'Br'] (1, 3, -1) (1, 1, 4)\n", - "['Sc', 'Cr', 'I'] (1, 3, -1) (1, 1, 4)\n", - "['Sc', 'Sc', 'F'] (1, 2, -1) (1, 1, 3)\n" + "['Rh', 'Zn', 'F'] (4, 2, -1) (1, 1, 6)\n", + "['Rh', 'Zn', 'Cl'] (4, 2, -1) (1, 1, 6)\n", + "['Rh', 'Zn', 'Br'] (4, 2, -1) (1, 1, 6)\n", + "['Rh', 'Zn', 'I'] (4, 2, -1) (1, 1, 6)\n", + "['Rh', 'Mn', 'F'] (4, 2, -1) (1, 1, 6)\n" ] } ], @@ -361,26 +172,20 @@ "\n", "# Here we grab the species string for each composition generated by smact\n", "list_of_species = [species[3] for species in flat_list]\n", - "A_species = [\n", - " f\"{species[0].symbol}{species[0].oxidation}+\" for species in list_of_species\n", - "]\n", - "B_species = [\n", - " f\"{species[1].symbol}{species[1].oxidation}+\" for species in list_of_species\n", - "]\n", + "A_species = [f\"{species[0].symbol}{species[0].oxidation}+\" for species in list_of_species]\n", + "B_species = [f\"{species[1].symbol}{species[1].oxidation}+\" for species in list_of_species]\n", "X_species = [f\"{species[2].symbol}1-\" for species in list_of_species]\n", "\n", "# Print out the first few entries from our search space\n", "print(f\"Number of compositions: {len(flat_list)}\")\n", - "print(\n", - " \"Each list entry looks like this:\\n elements, oxidation states, stoichiometries\"\n", - ")\n", + "print(\"Each list entry looks like this:\\n elements, oxidation states, stoichiometries\")\n", "for i in flat_list[:5]:\n", " print(i[0], i[1], i[2])" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": { "tags": [ "hide-input", @@ -393,11 +198,11 @@ "output_type": "stream", "text": [ "Each list entry now looks like this: \n", - "ScCrF4\n", - "ScCrCl4\n", - "ScCrBr4\n", - "ScCrI4\n", - "Sc2F3\n" + "ZnRhF6\n", + "ZnRhCl6\n", + "ZnRhBr6\n", + "ZnRhI6\n", + "MnRhF6\n" ] } ], @@ -434,19 +239,17 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Compute the compound probabilities\n", - "compound_probabilities = [\n", - " ox_prob_finder.compound_probability(spec) for spec in list_of_species\n", - "]" + "compound_probabilities = [ox_prob_finder.compound_probability(spec) for spec in list_of_species]" ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -480,43 +283,43 @@ " \n", " \n", " 0\n", - " ScCrF4\n", - " Sc1+\n", - " Cr3+\n", + " ZnRhF6\n", + " Rh4+\n", + " Zn2+\n", " F1-\n", - " 0.289474\n", + " 0.775000\n", " \n", " \n", " 1\n", - " ScCrCl4\n", - " Sc1+\n", - " Cr3+\n", + " ZnRhCl6\n", + " Rh4+\n", + " Zn2+\n", " Cl1-\n", - " 0.227273\n", + " 0.625000\n", " \n", " \n", " 2\n", - " ScCrBr4\n", - " Sc1+\n", - " Cr3+\n", + " ZnRhBr6\n", + " Rh4+\n", + " Zn2+\n", " Br1-\n", - " 0.285714\n", + " 0.500000\n", " \n", " \n", " 3\n", - " ScCrI4\n", - " Sc1+\n", - " Cr3+\n", + " ZnRhI6\n", + " Rh4+\n", + " Zn2+\n", " I1-\n", - " 0.111111\n", + " 0.500000\n", " \n", " \n", " 4\n", - " Sc2F3\n", - " Sc1+\n", - " Sc2+\n", + " MnRhF6\n", + " Rh4+\n", + " Mn2+\n", " F1-\n", - " 0.000000\n", + " 0.514796\n", " \n", " \n", "\n", @@ -524,14 +327,14 @@ ], "text/plain": [ " formula_pretty A B X compound_probability\n", - "0 ScCrF4 Sc1+ Cr3+ F1- 0.289474\n", - "1 ScCrCl4 Sc1+ Cr3+ Cl1- 0.227273\n", - "2 ScCrBr4 Sc1+ Cr3+ Br1- 0.285714\n", - "3 ScCrI4 Sc1+ Cr3+ I1- 0.111111\n", - "4 Sc2F3 Sc1+ Sc2+ F1- 0.000000" + "0 ZnRhF6 Rh4+ Zn2+ F1- 0.775000\n", + "1 ZnRhCl6 Rh4+ Zn2+ Cl1- 0.625000\n", + "2 ZnRhBr6 Rh4+ Zn2+ Br1- 0.500000\n", + "3 ZnRhI6 Rh4+ Zn2+ I1- 0.500000\n", + "4 MnRhF6 Rh4+ Mn2+ F1- 0.514796" ] }, - "execution_count": 11, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -552,7 +355,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -587,12 +390,12 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": {}, "outputs": [ { "data": { - "image/png": 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oamrM+zbJzNsQlJ5lGwIiIiIbGJpIEhAJxHygvBbzAQMTERHRHxiaSFKaD2ROUF5LH2d9Nx3AO+qIiKhJYmgi6zYEg3YAPlqgLA9IilUGJ95RR0RETRRDU1Nnqw1BSDfAN+yP5/8ITmXnlOGqvEi6o46IiKiJYGhq6uQ2BOZF3/7tgKFpgH+UNOZaIVB8gnfUERFRk8ZjVJzEq45RsVShl1aNLENQaf4fq0x5pmu8o46IiBoRHqNCjrHVhgCQglG/j5TXbN1Rx8JwIiJqAhiaqHb23FHHwnAiImoiGJrINvOib/8owC9Cum5+Rx0Lw4mIqAnh2XNkzdYddYCpvqksD9jZRzqrriyPheFERNQkcKWJrNm6oy4gUnlH3dXzysDEwnAiImrkGJrImq2DfQH7C8OJiIgaIYYmss3WHXW2CsMzJ9g+aoWIiKiRYWgi+1getTI0XfpnyRnpOoMTERE1cg6Hpu3btyMtLc34ePXq1ejZsyfGjx+Py5cvO3Vy5CFsFYa36QsM+FqqcZKDU9k55WvYgoCIiBoRh0PT3LlzYTAYAABHjx7F008/jREjRiA3Nxdz5sxx+gTJA9gqDK/QA/sek573j5KeVwdJj9m7iYiIGiGHWw7k5uaiW7duAIDPP/8c9913H1588UUcOnQII0aMcPoEyQPIheHmR61UXZF6M5XlSaEp+l1pnPk2njxOE+y2qRMRETmLwytNGo0GZWVlAIBdu3Zh2LBhAICWLVsaV6CoEbIsDPdvJ606BXaUglPq/cCFDB7qS0REjZbDK02xsbGYM2cO+vXrh/379+OTTz4BAPz0009o145/IJuUgEgpGMlBKamfdJ29m4iIqBFyeKXprbfeglqtxmeffYY1a9bgpptuAgBs27YNw4cPd/oEycMFREq9msyxdxMRETVCKiGEcPckGgODwYDg4GDo9XrodDp3T6fhWNYwAVxpIiIir+HI32+7tuccqVVqUoGhqbPs3RTzgdTsUm5BMCSFwYmIiBoNu0JTSEgIVCqVXW9YXV19QxMiL2Grd5NljVPyIOkoFhaDExFRI2BXaNqzZ4/x38+ePYv58+fjkUceQUxMDAAgMzMTGzZswLJly1wzS/I8cu8mQNm7SaUyBSfz3k1l56R/Z/sBIiLyUg7XNA0ZMgSPPfYYxo0bp7i+ceNGrFu3DikpKc6cn9dokjVNFXpT76YKvdTMsrxICk0qlSkkydt42lCp3xODExEReQhH/n47fPdcZmYmevfubXW9d+/e2L9/v6NvR97MvHeT3OxS3pYTwrrZZXmRNI6IiMgLORyaIiMj8c4771hdf/fddxEZyaLfJsu82aUcnNjskoiIGhGHm1u+9tprePDBB7Ft2zZER0cDAPbv349Tp07h888/d/oEyYuw2SURETViDq80jRgxAqdOncKoUaNw6dIlXLp0CaNGjcJPP/3Es+eIzS6JiKjRYnNLJ2mSheC2sNklERF5EZcWggNAcXExdu7cif/973/473//q/hxRGpqKkaNGoWIiAioVCp8+eWXiueFEFi8eDHatm0LPz8/xMXF4dSpU4oxly5dQkJCAnQ6HUJCQpCYmIiSkhLFmCNHjqB///7w9fVFZGQkVqxYYTWXTZs2oUuXLvD19UWPHj2wdetWhz4LwbrZ5dB0ZY1Tab67Z0hERFRvDtc0ffPNN0hISEBJSQl0Op2i6aVKpcLEiRPtfq/S0lLceeedePTRRzFmzBir51esWIFVq1Zhw4YN6NChAxYtWoT4+HicOHECvr6+AICEhAT89ttvSEpKQmVlJSZPnoypU6di48aNAKQEOWzYMMTFxWHt2rU4evQoHn30UYSEhGDq1KkAgIyMDIwbNw7Lli3Dfffdh40bN2L06NE4dOgQbr/9dke/oqaptmaXA74GUkbYbnbJ3k1ERORNhINuvfVWMXPmTFFaWuroS+sEQGzevNn4uKamRoSHh4uXX37ZeK24uFhotVrx0UcfCSGEOHHihAAgDhw4YByzbds2oVKpxK+//iqEEOLtt98WLVq0EOXl5cYx8+bNE507dzY+fuihh8TIkSMV84mOjhaPP/54rfO9du2a0Ov1xp/8/HwBQOj1+vp9Ad6uvFiI7X2E+KqjECV5ymubo6Sf7X2ka0JIY77qqLxGRETUwPR6vd1/vx3envv1118xY8YM+Pv7Ozu/KeTm5qKgoABxcXHGa8HBwYiOjkZmZiYAqWdUSEiIom9UXFwcfHx8sG/fPuOYAQMGQKPRGMfEx8cjJycHly9fNo4x/z3yGPn32LJs2TIEBwcbf5p8uwVNsNS4Mm6vqXZJ7t1Ulic9jn6XvZuIiMhrORya4uPjcfDgQVfMRaGgoAAAEBYWprgeFhZmfK6goAChoaGK59VqNVq2bKkYY+s9zH9HbWPk521ZsGAB9Hq98Sc/n/U6imaXgLJ3U1kekHo/ezcREZHXcrimaeTIkZg7dy5OnDiBHj16oHnz5orn77//fqdNzpNptVpotVp3T8PzOdK7iTVORETkwRwOTVOmTAEAPP/881bPqVQqVFdX3/isAISHhwMACgsL0bZtW+P1wsJC9OzZ0zimqKhI8bqqqipcunTJ+Prw8HAUFhYqxsiPrzdGfp5ukNy7SQ5MAHDXK8rAxPPpiIjIwzm8PVdTU1Prj7MCEwB06NAB4eHhSE5ONl4zGAzYt28fYmJiAAAxMTEoLi5GVlaWcczu3btRU1Nj7FYeExOD1NRUVFZWGsckJSWhc+fOaNGihXGM+e+Rx8i/h25QaT6QOUF5Le0h4OI+0/OscSIiIg9Xrz5NzlJSUoLs7GxkZ2cDkIq/s7OzkZeXB5VKhVmzZuFf//oXvv76axw9ehQTJ05EREQERo8eDQDo2rUrhg8fjilTpmD//v1IT0/H9OnTMXbsWERERAAAxo8fD41Gg8TERBw/fhyffPIJ3njjDcyZM8c4j5kzZ2L79u1YuXIlfvzxRyxduhQHDx7E9OnTG/oraXwsezf1/wJQqQFRBSTFAvmbWeNEREReweGO4La25cwtXrzY7vdKSUnB4MGDra5PmjQJ69evhxACS5Yswbp161BcXIzY2Fi8/fbbuO2224xjL126hOnTp+Obb76Bj48PHnzwQaxatQqBgYHGMUeOHMG0adNw4MABtG7dGk899RTmzZun+J2bNm3CP/7xD5w9exa33norVqxY4dCxMOwIbkPZOWDXQOveTRf3SYFJVJnGsms4ERG5gSN/vx0OTXfddZficWVlJXJzc6FWq9GpUyccOnTI8Rk3AgxNNlTogT3DpS23ISnKQJS/GfjOrKFp/81A5Gjr92BxOBERuZAjf78dLgQ/fPiwzV/4yCOP4IEHHnD07agxk3s3VV1RbrmV5gOHn1GOTfsrMDQNaB2tHMficCIi8hBOqWnS6XR47rnnsGjRIme8HTUmlr2brGqcNitrnFgcTkREHsppheByk0eiWtk6ny5ytLTCpCgO/5LF4URE5HEc3p5btWqV4rEQAr/99hs++OAD/PnPf3baxKgRUgdJW22AssapdbQUnOTi8O/+2OZlcTgREXkQhwvBO3TooHjs4+ODNm3a4N5778WCBQsQFBTk1Al6CxaC26lCb13jJMv/0hSYAGBoOtCmr3IMC8OJiMiJXFoInpubW++JEUETbDvwlOYDh59WXksfJ61AyStNLAwnIiI3uqGapnPnzuHcuXPOmgs1VeZF3/5RgJ/UmBRledKWXWk+C8OJiMjt6nWMyvPPP4/g4GC0b98e7du3R0hICP75z3+ipqbGFXOkxsyyOHxoGjDseyk8AVJw2tlHCk8sDCciIjdyeHtu4cKFeO+997B8+XL06ycdwJqWloalS5fi2rVreOGFF5w+SWrEaisOlwvDy/KAq+elaywMJyIiN3K4EDwiIgJr167F/fffr7j+1Vdf4cknn8Svv/7q1Al6CxaC34DaisMvZABJ/UyP2TWciIiczJG/3w5vz126dAldunSxut6lSxdcunTJ0bcjsm6ACUg1TJkTlNfS/mpqfmk+btdA6biWCvYJIyIi13E4NN1555146623rK6/9dZbuPPOO50yKWri2DWciIg8kMM1TStWrMDIkSOxa9cuxMTEAAAyMzORn5+PrVu3On2C1MTY6hoeEKlsfpkUC8RukloUsDiciIgaiMMrTQMHDsRPP/2EBx54AMXFxSguLsaYMWOQk5OD/v37u2KO1JTIheGWRd9y13B5xem7B6yDFRERkQs5XAhOtrEQ3Ikc6RrO4nAiIroBLu0IDgCXL1/Ge++9h5MnTwIAunXrhsmTJ6Nly5b1eTsiJUe6hqf9VVqBah2tHMfO4URE5GQOb8+lpqbi5ptvxqpVq3D58mVcvnwZq1atQocOHZCamuqKORKxOJyIiNzO4e25Hj16ICYmBmvWrEGzZs0AANXV1XjyySeRkZGBo0ePumSino7bcy5Udk5qK2BZw3Rxn6k4XKW2XRzOWiciIqqDI3+/HQ5Nfn5+yM7ORufOnRXXc3Jy0LNnT1y9etXxGTcCDE0uVKGX+jCVF1kHIfPgJGNgIiIiO7m0uWWvXr2MtUzmTp48yT5N5BqaYKk2KW6vdRBqHS2tMJmL+YCBiYiInM7hQvAZM2Zg5syZOH36NPr06QMA+P7777F69WosX74cR44cMY694447nDdTatocKQ7PnMCVJiIicjqHt+d8fOpenFKpVBBCQKVSobq6+oYm5024PecGlsXhMR9IgYk1TUREZCeXthzIzc2t98SInMZW5/DmOqDvR0DGOOl68iBpS8+/Hfs2ERHRDXM4NLVv394V8yByjNw5HDAFJrlYvO9GIGO89Lw6iH2biIjIKerV3PL8+fNIS0tDUVERampqFM/NmDHDKRMjqpNcHC53Di87JwWmkjNSYOr7EaDrDFQaTCtSgDSeoYmIiOrB4Zqm9evX4/HHH4dGo0GrVq2gUqlMb6ZS4cyZM06fpDdgTZMHsFXjlJEAlJ61XePELTsioibPpX2aIiMj8cQTT2DBggXXLQpvShiaPIR5cJKp1DxqhYiIbHJpn6aysjKMHTuWgYk8U0CktMJkTlRJW3al+VKjzIv7bR+1UnZOep6IiMgGh5NPYmIiNm3adP2BRO5Qmi+1HTCnUksBadcAIKmf9GN+151/O+l1uwZKxeQMTkREZIPD23PV1dW47777cPXqVfTo0QPNmzdXPP/qq686dYLegttzHqCuvk3y4b4y8y07y9fJbQqIiKjRc2mfpmXLlmHHjh3Gs+csC8GJ3MJW36aASOmfljVOgGnLzlaxuHlgYrE4ERH9weGVphYtWuC1117DI4884qIpeSeuNLmZo4f61rXyJGOxOBFRo+fSQnCtVot+/frVe3JELlHbob6l+dKKkqgCAm4GhqZLK0rmgQlQFovLr7NVLE5ERE2Ww6Fp5syZePPNN10xF6Ibowm23lpT1CqlAm36Sh3DVRY703KxePIg4EKG9VYfa5yIiJo8h0PT/v37sWHDBnTs2BGjRo3CmDFjFD/OVF1djUWLFqFDhw7w8/NDp06d8M9//hPmO4pCCCxevBht27aFn58f4uLicOrUKcX7XLp0CQkJCdDpdAgJCUFiYiJKSkoUY44cOYL+/fvD19cXkZGRWLFihVM/C7mBfNSKeY2T+cqTSg3ouksrUPLjkjPWd9fx0F8iIkI9CsFDQkKcHo5q89JLL2HNmjXYsGEDunfvjoMHD2Ly5MkIDg42HteyYsUKrFq1Chs2bECHDh2waNEixMfH48SJE/D19QUAJCQk4LfffkNSUhIqKysxefJkTJ06FRs3bgQg7WcOGzYMcXFxWLt2LY4ePYpHH30UISEhmDp1aoN8VnIBW0etmK8g1XbUiizmA+vAxMJwIqImy+FC8IZ03333ISwsDO+9957x2oMPPgg/Pz/873//gxACERERePrpp/HMM88AAPR6PcLCwrB+/XqMHTsWJ0+eRLdu3XDgwAH07t0bALB9+3aMGDEC586dQ0REBNasWYOFCxeioKAAGo0GADB//nx8+eWX+PHHH+2aKwvBvYCjxeL+UVJxuDyOheFERI2OSwvBZRcuXEBaWhrS0tJw4cKF+r5Nnfr27Yvk5GT89NNPAIAffvgBaWlp+POf/wwAyM3NRUFBAeLi4oyvCQ4ORnR0NDIzMwEAmZmZCAkJMQYmAIiLi4OPjw/27dtnHDNgwABjYAKA+Ph45OTk4PLlyzbnVl5eDoPBoPghD2dPsbhfO8AvQrpelicFqdJ8FoYTEZHj23OlpaV46qmn8N///hc1NTUAgGbNmmHixIl488034e/v77TJzZ8/HwaDAV26dEGzZs1QXV2NF154AQkJCQCAgoICAEBYWJjidWFhYcbnCgoKEBoaqnherVajZcuWijEdOnSweg/5uRYtWljNbdmyZXjuueec8CmpQWmClStEtvo7AVJYKsuTfnb2keqdyvJYGE5E1IQ5vNI0Z84c7N27F9988w2Ki4tRXFyMr776Cnv37sXTTz/t1Ml9+umn+PDDD7Fx40YcOnQIGzZswCuvvIINGzY49ffUx4IFC6DX640/+fn57p4S1YetYvGASGlbzj9KGnP1vDIwsTCciKhJcnil6fPPP8dnn32GQYMGGa+NGDECfn5+eOihh7BmzRqnTW7u3LmYP38+xo4dCwDo0aMHfvnlFyxbtgyTJk1CeHg4AKCwsBBt27Y1vq6wsBA9e/YEAISHh6OoqEjxvlVVVbh06ZLx9eHh4SgsLFSMkR/LYyxptVpotdob/5DkXpbF4rKASKDfR9KddDJbheFERNRkOLzSVFZWZrUdBgChoaEoKytzyqTMf5ePj3KKzZo1M24LdujQAeHh4UhOTjY+bzAYsG/fPsTExAAAYmJiUFxcjKysLOOY3bt3o6amBtHR0cYxqampqKysNI5JSkpC586dbW7NUSNj2d8JsH3wb/o4U/NLc2XneMgvEVET4HBoiomJwZIlS3Dt2jXjtatXr+K5554zBhVnGTVqFF544QVs2bIFZ8+exebNm/Hqq6/igQceACCddTdr1iz861//wtdff42jR49i4sSJiIiIwOjRowEAXbt2xfDhwzFlyhTs378f6enpmD59OsaOHYuICKngd/z48dBoNEhMTMTx48fxySef4I033sCcOXOc+nnIS1ge4DtoB+CjVRaGm4/dNVC6K4/BiYiocRMOOnr0qIiIiBCtWrUS9957r7j33ntFq1atxE033SSOHTvm6NvVyWAwiJkzZ4qoqCjh6+srOnbsKBYuXCjKy8uNY2pqasSiRYtEWFiY0Gq1YsiQISInJ0fxPr///rsYN26cCAwMFDqdTkyePFlcuXJFMeaHH34QsbGxQqvViptuukksX77cobnq9XoBQOj1+vp/YHK/0nwhvuooxIeQ/lmSJ13bHCVd+xDSvxcfF+LCPuXY0nzTe5QXu/dzEBGRXRz5+12vPk1lZWX48MMPjT2MunbtioSEBPj5+Tk50nkP9mlqJGrr5VSab7qjTqUBgjoBV05JbQosO46zlxMRkddw5O+3Rze39CYMTY1Ihd66MBxQBieZSi3dadc62npbL24vWxMQEXk4lza3XLZsGd5//32r6++//z5eeuklR9+OyPPYKgwHTHfUmRNVUmNMHvJLRNToORya/v3vf6NLly5W17t37461a9c6ZVJEHsnWHXU85JeIqMlwODQVFBQoeiLJ2rRpg99++80pkyLyOJZbb0PTpX+an1UHAHettB2Y2JaAiMjrORyaIiMjkZ6ebnU9PT3deAs/UaNi66iVNn2BvhullSZzaX+VDv81x7YERESNgsMdwadMmYJZs2ahsrIS9957LwAgOTkZzz77rNOPUSHyCPJRK4DyLjn5kF+VGgjoCJSekR4nxdouDgekAnPeUUdE5JUcDk1z587F77//jieffBIVFRUAAF9fX8ybNw8LFixw+gSJ3M7yqBXLlae+HwG6zoDhRykwycEpdhNw+GkWhxMRNRL1bjlQUlKCkydPws/PD7feemuTP4eNLQeakNp6OQHS1pwcnGQsDici8ljs0+QGDE1NTG29nAAg/0vguwdMj4emSzVQRETkcVzap4mIUHsvp9J8aUvOXOYE2wf9EhGRV2FoInKW2toSlJyRrjM4ERF5NYYmImeorS3BkBRlcCo7585ZEhHRDbArNPXq1QuXL18GADz//PMoKytz6aSIvI7clsCy6Dsg0hSctKHSOCIi8kp2FYL7+fnh1KlTaNeuHZo1a4bffvsNoaGhDTE/r8FCcKqzOLzsnBSY2KOJiMijOPL3264+TT179sTkyZMRGxsLIQReeeUVBAYG2hy7ePFix2dM1BhogmsPRezPRETk9exaacrJycGSJUvw888/49ChQ+jWrRvUauu8pVKpcOjQIZdM1NNxpYmIiMj7uLRPk4+PDwoKCrg9Z4GhiYiIyPs4fXvOXE1NTb0nRtTksM6JiKjRcDg0AcDPP/+M119/HSdPngQAdOvWDTNnzkSnTp2cOjkir1bXcStyTydtqHSuHYMTEZHHc7hP044dO9CtWzfs378fd9xxB+644w7s27cP3bt3R1JSkivmSOSdqq5Igcm8uWWFHri439TTqbxIGgdIK08VenfOmIiI6uBwTdNdd92F+Ph4LF++XHF9/vz52LlzJwvBWdNE5sy7hAfcDKgDAEOOdKCveU8nrjwREbmFS8+eO3nyJBITE62uP/roozhx4oSjb0fUuJk3tyw9C+iPS4FJpQb6blQGJsuVJyIi8igOh6Y2bdogOzvb6np2djbvqCOyJSASiPlAeU1UARnjgQsZ1sevsKcTEZFHcrgQfMqUKZg6dSrOnDmDvn37AgDS09Px0ksvYc6cOU6fIJHXK80HMicor6nUUlBK6ic9tjx+hYiIPI7DoWnRokUICgrCypUrsWDBAgBAREQEli5dihkzZjh9gkRezXzrLbCjtOKUOUF6bO6ulbYDE9sSEBF5DIcLwc1duSLVXgQF8RBSFoKTlbJzwK6Byq23gEjg4j4gKVbaopOp1MDQNKB1tOkai8OJiFzOpYXg5oKCghiYiGqjDpICj+VdchnjTcXggbdJ/xRVUpC6uE96LYvDiYg8Tr2aWxKRHTTB0gqR3BG87Jxyq67vR4CuM2D40bTylBQLxG4CDj/N4nAiIg/D0ETkSppg07aavPIEKIu+W0dLW3NycPruAek6i8OJiDzKDW3PEZED5JWnuL3WQah1tLTCZC7mA+tx7BpOROQ2DoWmyspKDBkyBKdOnXLVfIgaN02w7a220nxpS85c+jjpuvmYXQOl8+wYnIiIGpxDoal58+Y4cuSIq+ZC1DSZF337RwF+EdL1sjxpy640n4XhREQewOHtub/97W947733XDEXoqbHsjh8aBow7HspPAFScNrZB9jZt/bCcG7ZERE1CIcLwauqqvD+++9j165duPvuuxEQEKB4/tVXX3Xa5IgavdqKw+XC8LI84Op56Zr5eXUy9nIiImowDoemY8eOoVevXgCAn376SfGcSqVyzqyImgrLtgSygEig30emY1YA03l1Q1KsD/oFpPdgaCIichmHt+f27NlT68/u3budPsFff/0Vf/vb39CqVSv4+fmhR48eOHjwoPF5IQQWL16Mtm3bws/PD3FxcVaF6pcuXUJCQgJ0Oh1CQkKQmJiIkpISxZgjR46gf//+8PX1RWRkJFasWOH0z0Jkk63i8LrOq0sexIN+iYjcoN4tB06fPo0dO3bg6tWrAKTw4myXL19Gv3790Lx5c2zbtg0nTpzAypUr0aJFC+OYFStWYNWqVVi7di327duHgIAAxMfH49q1a8YxCQkJOH78OJKSkvDtt98iNTUVU6dONT5vMBgwbNgwtG/fHllZWXj55ZexdOlSrFu3zumfiei6LM+rG5ou/VPuIi4f9Gt5PAsREbmWcNDFixfFvffeK1QqlfDx8RE///yzEEKIyZMnizlz5jj6dnWaN2+eiI2NrfX5mpoaER4eLl5++WXjteLiYqHVasVHH30khBDixIkTAoA4cOCAccy2bduESqUSv/76qxBCiLffflu0aNFClJeXK353586da/3d165dE3q93viTn58vAAi9Xl/vz0skSvOF+KqjEB9C+mdJnnS9JM903fynKN32e5QXN+y8iYi8lF6vt/vvt8MrTbNnz0bz5s2Rl5cHf39/4/WHH34Y27dvd16aA/D111+jd+/e+Otf/4rQ0FDcddddeOedd4zP5+bmoqCgAHFxccZrwcHBiI6ORmZmJgAgMzMTISEh6N27t3FMXFwcfHx8sG/fPuOYAQMGQKPRGMfEx8cjJycHly9ftjm3ZcuWITg42PgTGcn/T5+cwNZ5dYD0z74bpZUmc+zlRETUYBwOTTt37sRLL72Edu2U9RO33norfvnlF6dNDADOnDmDNWvW4NZbb8WOHTvw97//HTNmzMCGDRsAAAUFBQCAsLAwxevCwsKMzxUUFCA0NFTxvFqtRsuWLRVjbL2H+e+wtGDBAuj1euNPfn6+zXFEDqmta7j5Qb9+7djLiYjIDRy+e660tFSxwiS7dOkStFqtUyYlq6mpQe/evfHiiy8CAO666y4cO3YMa9euxaRJk5z6uxyl1Wqd/nmJACjPqwOsezkNSZGuyy0J5F5OKrX07ywMJyJyCYdXmvr374///ve/xscqlQo1NTVYsWIFBg8e7NTJtW3bFt26dVNc69q1K/Ly8gAA4eHhAIDCwkLFmMLCQuNz4eHhKCoqUjxfVVWFS5cuKcbYeg/z30HkNra27AIipV5OchPMq+elwOQfZbswnA0wiYhumMOhacWKFVi3bh3+/Oc/o6KiAs8++yxuv/12pKam4qWXXnLq5Pr164ecnBzFtZ9++gnt27cHAHTo0AHh4eFITk42Pm8wGLBv3z7ExMQAAGJiYlBcXIysrCzjmN27d6OmpgbR0dHGMampqaisrDSOSUpKQufOnRV36hG5RW1bdnIvJ3Oiyvr1rHMiInIKh0PT7bffjp9++gmxsbH4y1/+gtLSUowZMwaHDx9Gp06dnDq52bNn4/vvv8eLL76I06dPY+PGjVi3bh2mTZsGQFrlmjVrFv71r3/h66+/xtGjRzFx4kRERERg9OjRAKSVqeHDh2PKlCnYv38/0tPTMX36dIwdOxYREVJdyPjx46HRaJCYmIjjx4/jk08+wRtvvIE5c+Y49fMQ1Zu9vZyunjfVOMljWOdEROQcDXA33w355ptvxO233y60Wq3o0qWLWLduneL5mpoasWjRIhEWFia0Wq0YMmSIyMnJUYz5/fffxbhx40RgYKDQ6XRi8uTJ4sqVK4oxP/zwg4iNjRVarVbcdNNNYvny5Q7N05FbFolumHkLgq86Sq0HNkeZWhFsjhLi1x2ma+btC4RgWwIioj848vdbJYTjXSkvX76M9957DydPngQAdOvWDZMnT0bLli2dHOm8h8FgQHBwMPR6PXQ6nbunQ41Z2Tlpu82yuWVpvqk43Jx/lFT/JG/t8bw6IiIjR/5+O7w9l5qaiptvvhmrVq3C5cuXcfnyZaxatQodOnRAampqvSdNRHaqq5fT0DRTOwKZeZ0Tt+uIiOrN4ZWmHj16ICYmBmvWrEGzZs0AANXV1XjyySeRkZGBo0ePumSino4rTdSgKvTWh/wCda829ftIqoHi8StEREaO/P12ODT5+fkhOzsbnTt3VlzPyclBz549jWfRNTUMTeR2lmfWxXwgdQy/3nadrOyctIrF7ToiakJcuj3Xq1cvYy2TuZMnT+LOO+909O2IyBlsNcBs0/f623WAtGp1cb/ttgTs70REZGRXR/AjR44Y/33GjBmYOXMmTp8+jT59+gAAvv/+e6xevRrLly93zSyJqG5ynRNgve1meV6d3JZgaBrQXAck3wsUHzGFqaor0moTC8aJiBTs2p7z8fGBSqXC9YaqVCpUV1c7bXLehNtz5HaWdU7m23X+UcA97wD7p5i26/yjgLvfANL+KgUmlVoKUq2jrbf64vbyWBYiapQc+ftt10pTbm6uUyZGRC5kfmadre06+e468zPrvntAGq9SS8EpYzzQe40pXFmeY8e6JyJqwuwKTfKxJUTkJWrbrpOD084+0jadLPZT4PAzUshKiZeuWZ5jx+06Imri7ApNls6fP4+0tDQUFRWhpqZG8dyMGTOcMjEiugHyeXW22hIA1nVOh58B7noF+G6M6Vpt/Z0AU90TEVET4nDLgfXr1+Pxxx+HRqNBq1atoFKpTG+mUuHMmTNOn6Q3YE0TeQVbbQnk3k3yFp05ub9TRgJQetZ2fydu2RGRF3Npn6bIyEg88cQTWLBgAXx8HO5Y0GgxNJHHq+34lYv7pDonuRg8dhOQNdO6v5N5obiMW3ZE5OVc2qeprKwMY8eOZWAi8ja2jl8pOycVf8uBKbgHEDa49v5OGeOloATwSBYianIcTj6JiYnYtGmTK+ZCRK4k1znF7TVtr5kHqaHpQNwe02qRZd2TSi0FpORBwIUM67vz2JKAiBo5h7fnqqurcd999+Hq1avo0aMHmjdvrnj+1VdfdeoEvQW358hr2dPf6eDfbdc9scaJiLyc0/s0mVu2bBl27NhhPHvOshCciLyMPf2dhqQo756T3fWKMjCxxomIGjGHQ9PKlSvx/vvv45FHHnHBdIjIrerq79R3o6lgXJb2kO0u4gDbEhBRo+NwTZNWq0W/fv1cMRcicjdbdU+AFIjkgvGAm4H+X5i26pJigfzNwK4Btdc48eBfImoEHA5NM2fOxJtvvumKuRCRJ9AEWwcexTl0qUDkA9IKkxycvhsj9XFSqaUVKcvAtWsgsGc4gxMReTWHt+f279+P3bt349tvv0X37t2tCsG/+OILp02OiDxAbVt2raOl41csu4hnjDeN45YdETUiDoemkJAQjBkz5voDiahxqO1IltJ86fgVc+ZtCXjwLxE1Mg63HCDb2HKAmhRHjmPxj5K28njwLxF5IJd2BCeiJs5WW4I2faV/Bna0Pr+utoN/2UWciLyMw9tzHTp0qLMfU1M9sJeoyXC0LcHV89I1Wwf/Whacc8uOiDyYw6Fp1qxZiseVlZU4fPgwtm/fjrlz5zprXkTkqeqqcTJvS9D3QyB9nFTTVJYHJP3RqqS2O+y4ZUdEHs7h0DRz5kyb11evXo2DBw/e8ISIyAuYdxEHau8kPjQN2NlHWm2Smd9h11wHGHKAjHHWd9hx5YmIPIzTapr+/Oc/4/PPP3fW2xGRNzE/+HdIinIVqbaDf3cNkFafkvpZN8Vkbyci8kAOrzTV5rPPPkPLli2d9XZE5E1sbdnJW25lebYP/i09a3q9+ZYdezsRkYdyODTdddddikJwIQQKCgpw4cIFvP32206dHBF5kRs5+Ffesov5gMXiROSxHA5No0ePVjz28fFBmzZtMGjQIHTp0sVZ8yIib+boHXbylh2LxYnIg7G5pZOwuSWRhQq97Tvs5JUm+Q47uSmmJfMVKstmmnF7le9LRFRPbG5JRO5nz8G/bfpKK0q1FYsnDwIuZEhF45bF4ubvy2JxImoAdm/P+fj41NnUEgBUKhWqqqrqHENETZStLTvz3k4qNRDUGagulWqauGVHRB7G7tC0efPmWp/LzMzEqlWrUFNT45RJEVEjZHmHneXKU9+PAF1noNJQd7H4kBTeZUdEbmF3aPrLX/5idS0nJwfz58/HN998g4SEBDz//PNOnRwRNTLmd9jVViyuCa67WDx5kPKAYFtbdkRELlCvmqbz589jypQp6NGjB6qqqpCdnY0NGzagffv2zp6fwvLly6FSqRRHuVy7dg3Tpk1Dq1atEBgYiAcffBCFhYWK1+Xl5WHkyJHw9/dHaGgo5s6da7WNmJKSgl69ekGr1eKWW27B+vXrXfpZiJo8eeUpbq/1lpv5cSxD000HAZtv2Vm2M5CxxomIXMSh0KTX6zFv3jzccsstOH78OJKTk/HNN9/g9ttvd9X8jA4cOIB///vfuOOOOxTXZ8+ejW+++QabNm3C3r17cf78eYwZM8b4fHV1NUaOHImKigpkZGRgw4YNWL9+PRYvXmwck5ubi5EjR2Lw4MHIzs7GrFmz8Nhjj2HHjh0u/1xETZq9xeJDUkzBydxdr5gCU4UeuLjfdidxBikicgZhp5deekm0bNlSdOvWTXz55Zf2vswprly5Im699VaRlJQkBg4cKGbOnCmEEKK4uFg0b95cbNq0yTj25MmTAoDIzMwUQgixdetW4ePjIwoKCoxj1qxZI3Q6nSgvLxdCCPHss8+K7t27K37nww8/LOLj4+2eo16vFwCEXq+v78ckovJiIbb3EeKrjkKU5Cmfu/C9EBvVQnwI089GtXS9vFiIrb1Mz3/VUYjSfOl1JXnS4+19pHFERGYc+ftt90rT/Pnzce3aNdxyyy3YsGEDxowZY/PHFaZNm4aRI0ciLi5OcT0rKwuVlZWK6126dEFUVBQyMzMBSEXqPXr0QFhYmHFMfHw8DAYDjh8/bhxj+d7x8fHG97ClvLwcBoNB8UNEN8jeLbv+X0hbdaJKqn3K+xQoPmLawuu7UaqZurjftHJVXiQViwNceSKierG7EHzixInXbTngCh9//DEOHTqEAwcOWD1XUFAAjUaDkJAQxfWwsDAUFBQYx5gHJvl5+bm6xhgMBly9ehV+fn5Wv3vZsmV47rnn6v25iKgW5sXiQO1HsgxNMxWL758qjZWDVPpYQB0AGHKkx5aHAbNNARHVg92hyR2F0fn5+Zg5cyaSkpLg6+vb4L+/LgsWLMCcOXOMjw0GAyIjI+t4BRHVS2132bWOBmI/Bb4zW+GO/RQ4/IyyXQEPAyYiJ/HojuBZWVkoKipCr169oFaroVarsXfvXqxatQpqtRphYWGoqKhAcXGx4nWFhYUIDw8HAISHh1vdTSc/vt4YnU5nc5UJALRaLXQ6neKHiFygri27w88oxx5+RioONyf3d7qQYb1ixTYFROQAjw5NQ4YMwdGjR5GdnW386d27NxISEoz/3rx5cyQnJxtfk5OTg7y8PMTExAAAYmJicPToURQVFRnHJCUlQafToVu3bsYx5u8hj5Hfg4jczPIuO8uz6OS2BCVngLSHlK+1bFPgH2XdpgBgnRMRXZfd23PuEBQUZNXOICAgAK1atTJeT0xMxJw5c9CyZUvodDo89dRTiImJQZ8+fQAAw4YNQ7du3TBhwgSsWLECBQUF+Mc//oFp06ZBq9UCAJ544gm89dZbePbZZ/Hoo49i9+7d+PTTT7Fly5aG/cBEdH211TiZN8RUqYHYTcDhp213FpfJhwoLYV3nVHZO2hrk9h0R/cGjQ5M9XnvtNfj4+ODBBx9EeXk54uPj8fbbbxufb9asGb799lv8/e9/R0xMDAICAjBp0iRF9/IOHTpgy5YtmD17Nt544w20a9cO7777LuLj493xkYioLrZqnMrOKc+wC+4BhA223Vn86nnp2qCtwL7HpMcAUJYn/bPqiukoFxaLE5EZlRBCuHsSjYHBYEBwcDD0ej3rm4hcTV4hkrfsKvRSQ8vyIttn2MmHAVfqgavnpNf4RgAqmEKTf5R0Rx5g0WBzL2ufiBoxR/5+e/1KExE1QZZtCRw5DDgpVlpVunbe+n3L8nmmHRHViqGJiBoHew8DHpoG7OxjWmECAL8IKUgl9ZMe11UszjonoiaLoYmIGh/LlSdLquv8T5/lGXcAm2ISkWe3HCAiqjfLNgWAKfiU5ZlaFfhHKVedAFOxeGm+8nWWx7EQUZPC0ERETYOtVgX+FttvfhFSgTjwx3ZdLJtiEpERQxMRNQ1ynZMcfFQq06qTf5Tp596d0j8BU52TZU8oImqSWNNERE2DZZ1ThV5ZLK5SmYq8bRWLx3zAwETUxDE0EVHTYX6HnaPF4pkTuNJE1MRxe46Imi57i8Xlc+2SB5mKw4moyWFoIiKS2SoWb9NX+qd5cCo7585ZEpGbMDQREcksi8XlrbiASFNw0oZK44ioyWFNExGRrK46p4BI6Rw6dgQnarIYmoiIzFmea2eO/ZmImjRuzxERERHZgaGJiIiIyA4MTURERER2YGgiIiIisgNDExEREZEdGJqIiIiI7MDQRERERGQHhiYiIiIiOzA0EREREdmBoYmIiIjIDgxNRERERHZgaCIiIiKyA0MTERERkR0YmoiIiIjswNBERFSXCj1Qds72c2XnpOeJqElgaCIiqk2FHtgzHNg1ECjNVz5Xmi9d3zOcwYmoiWBoIiKqTdUVoLwIKDkDJA8yBafi40BSrHS9vEgaJ+PqE1GjxdBERFQb/3bAkBQgsKMpOJ3fCWy/GyjLA/yjpOf920njufpE1KgxNBER1SUgUhmcUuKBmnLrcaX5UqiytfpERI0CQxMR0fUERAIxHyiv+UVIq03Jg4ALGcCuAVJgCuyoXH0CuGVH1Eio3T0BIiKPV5oPZE5QXlOppe25kjNAUj/Ttb4bpZBl/trkQYA2FBi8HdAEN9i0ici5uNJERFQX8223wI7A0HTpn2V5gKhSjhVVQMZ46TUVeuDifttbdlx5IvJKHh2ali1bhj/96U8ICgpCaGgoRo8ejZycHMWYa9euYdq0aWjVqhUCAwPx4IMPorCwUDEmLy8PI0eOhL+/P0JDQzF37lxUVSn/xy4lJQW9evWCVqvFLbfcgvXr17v64xGRpys7pwxMQ1KANn3/2H6LAq6eV45XqaWxuwZIq09J/ay37FgsTuS1PDo07d27F9OmTcP333+PpKQkVFZWYtiwYSgtLTWOmT17Nr755hts2rQJe/fuxfnz5zFmzBjj89XV1Rg5ciQqKiqQkZGBDRs2YP369Vi8eLFxTG5uLkaOHInBgwcjOzsbs2bNwmOPPYYdO3Y06OclIg+jDpK21eTQY77tJvPRAoN2SGNElRScSs8C+uOmx/KWHYvFibyaSggh3D0Je124cAGhoaHYu3cvBgwYAL1ejzZt2mDjxo34v//7PwDAjz/+iK5duyIzMxN9+vTBtm3bcN999+H8+fMICwsDAKxduxbz5s3DhQsXoNFoMG/ePGzZsgXHjh0z/q6xY8eiuLgY27dvt2tuBoMBwcHB0Ov10Ol0zv/wROQeFXop3MiF3WXnpJWikjPSatOgrUBId2UgshTYUSokz0iQApWtEFZ2TgpprHkialCO/P326JUmS3q9tJTdsmVLAEBWVhYqKysRFxdnHNOlSxdERUUhMzMTAJCZmYkePXoYAxMAxMfHw2Aw4Pjx48Yx5u8hj5Hfw5by8nIYDAbFDxE1Qppg5Z1w5qtPQ9OkwARIAajvRmllyZy8ZZfUTwpMtRWLc8uOyON5TWiqqanBrFmz0K9fP9x+++0AgIKCAmg0GoSEhCjGhoWFoaCgwDjGPDDJz8vP1TXGYDDg6tWrNuezbNkyBAcHG38iI20s2xNR46MJlu6Ci9trHXwyxktbcgE3mwrGWSxO1Gh4TWiaNm0ajh07ho8//tjdUwEALFiwAHq93viTn59//RcRUeNgufpkWTAelyoVjNe18sRicSKv4xV9mqZPn45vv/0WqampaNfO9D9U4eHhqKioQHFxsWK1qbCwEOHh4cYx+/fvV7yffHed+RjLO+4KCwuh0+ng5+dnc05arRZarfaGPxsRNQLylh1gqlUyX3lSqYGgzkB1qWmLrvSs6fXmW3bFx4GUEVJLA0BaeZLrnFj3RORWHr3SJITA9OnTsXnzZuzevRsdOnRQPH/33XejefPmSE5ONl7LyclBXl4eYmJiAAAxMTE4evQoioqKjGOSkpKg0+nQrVs34xjz95DHyO9BRFQnyy07y5WnoenAsHRpBaquLTuea0fk0Tx6pWnatGnYuHEjvvrqKwQFBRlrkIKDg+Hn54fg4GAkJiZizpw5aNmyJXQ6HZ566inExMSgT58+AIBhw4ahW7dumDBhAlasWIGCggL84x//wLRp04wrRU888QTeeustPPvss3j00Uexe/dufPrpp9iyZYvbPjsReRlNsGkFyNbKkzym70YgKVYZnOQtu5R46/et0AOGHCBjnOnOPHn1iStPRA3Ko1sOqFQqm9f/85//4JFHHgEgNbd8+umn8dFHH6G8vBzx8fF4++23jVtvAPDLL7/g73//O1JSUhAQEIBJkyZh+fLlUKtNmTElJQWzZ8/GiRMn0K5dOyxatMj4O+zBlgNEpGDZqgBQtiUIuBno+6F0PItlmwK/CKlxZsDNgDpACk2iStmqgMezEDmFI3+/PTo0eROGJiKqk3l/J/Pwc3Gf9cqTf9Qfr8kzXVOppRYHraOtj3aJ26sMZ0Rkt0bbp4mIyGvZ6i5uWSyu6y6tLtV1rt2FDOujXRiYiBqER9c0ERE1GnKxuLxlZ1ks3vcjQNcZqDRIK0/mq0yAskkmYCoUtzzahXVORC7DlSYiooZi3t/JcuWp9T3WQcfyXDtz5o8r9FJYsnWHHZtkEjkNV5qIiNzBcuUJMK0+yS0H5HPtbN1xd/W8dG3QVmDfY9JjQNnfqdLAYnEiJ2JoIiJyF/M2BYD9TTIr9cDVc1JA2j0MUMEUmuRtuwo9m2QSORlDExGRp6hP3dO189bvoz8JpN4P1JTbbpLJ1SeiemFoIiLyJPY2yRyaBuzsY1phAqT+TmV5tptkAspWBYBy9YmIrouhiYjIU9mqezJneRiwJTlEJQ8CYj4AMhKkM+9stSrglh3RdfHuOSIiT2Z+x51MXjEqyzOdbecfpVx1AqRQ5R9lalUgHxYsHw7Mu+6IHMKVJiIib2JZ5zQkxXqMX4QUjsrypH83JzfJHPC17bvurv5qOuvOsu6Jq1HUxDE0ERF5E8s6J5VKWiWS2xQAUlCKfld595zMeDjwCClAmd91N+BrIGMCUHzE1N7g6q/S9qAQ1gXkDFHUxDA0ERF5E8s6pwq9dYhSB0l32Ml8tFIgOvh3KTDJq1CWrpwyBSaVGvjTOuD7RPaAIvoDQxMRkbcxv8POkSaZQ1KUd8/J5ILx7x6QHqvUUnDa96j1atSQFPaAoiaLheBERN7Osljc/IiWoWlSYAKk4u++G69/113sp9Jry/Ksi8v1J4Htd5sC2ZAUZQ8oy4JyokaEoYmIqLGRV5/i9ioP9DXvLh5wc+133R1+BrjrFeU18x5QNeXK5yr0wMX9plWs8iJp9QngXXjUqHB7joioMbI8osWRu+5KzgBpD9X9/nKI2jUAUAdId9yJKtN7q4OkICXfhRf7CaDyMXU6VwdJ7yOHK8stPW7zkQdiaCIiagrsvevujn8CKX82FYPHbgKyZtq+C88/Sur9ZH6t70aguQ5IvtdUVC5qgNQHgMpi6fmM8UDzltIcrhWafvfg7dK/s+UBeSiGJiKipsCeu+4qDEDqKFNgCu4BBN2qfB97ekDdtVJ5F97dq4BDs/5oshkrXfevAkS11NJAdvVXtjwgj8bQRETUVFzvrju1WZDq+xGgDpRClKM9oCzvwjs0S6qRSnvILEi9DmTNUr7e8JN9LQ/YgJPchKGJiKipsqx7ckYPKHOxn0pF5SVngO/GSNfkICU/lsOYvS0P2ICT3Ih3zxERkYl5+wLLu/D820nhxLwH1PAsIGKY7VYGtu7C6/2W8nG/j6Qfc3W1PKitAefOftLWn3z33tVfpUJ0Wy0QeEcf1ZNKCCHcPYnGwGAwIDg4GHq9Hjqdzt3TISJyjQq9FELKi6TVp4BI0wHCcrfxoM5AdanpgGB5RQiwfmy+0iQL7CiFLXk1CpC2Bc0DlPw+/lHWq1GDtgKZE03hKrCjFPz825nmyk7m9AdH/n5zpYmIiOxnufpk2cpgaDowLB3o97Ep2KjUwD3vKB/3/0IKOGV5plWroenSe9jT8sCR1ai+G5WBybKXFJGdGJqIiMgx5lt45t3Hh6QAre+RwojcRFNeeTr+gumxqJKKwEW18n0DokzbfMZwtdnxBpzfPaD8XRnjgfM7Tdt35r2kys7Z3q7jFh7ZwEJwIiKqP5t34QUp78LzCwfSHpaaW1r2aVI1k8b5RUgtD8zDVl0tD+xdjZIL0VPipWvy0S/NddI2oxzG/CJMDThZUE61YGgiIqIbc7278ADl47i9tjuCA/a1PLC3Aae8GmVeGyXXU1VdkQKT/Bq5AWf5RelxXe0NLOfNTuZNBkMTERE5n60gJT82P1zYMlw4swGnrdWoq+elbTrLO/ZEDXCtwL72Bua9o2pboZKvAQxWjQhDExEReQ5nNeCsazWqLA9I6ieNtXX3nsxWQXlz3fVXqCyv2RusANNn5fl8HomhiYiIPFd9GnDaWo0KGwwMTQN29lEWlcsrTnKIApQF5YCyoDzmA+X8bK1Q9fsESPurY8FKG/rH3H+v+3w+rmq5FUMTERF5F0dXo3SdpXGVBusGnOnjrv/7zAvK7VmhMu9DBdgXrGqqAJ8/zvSr7Xw+e1e1bB18LAerulax5MfmY3g8jQJDExEReTd7CtHlHk3yNt497wD7p5hCi3+UtOqUPs6+gvK6VqjqE6x8/jiPr67z+ewJX4D1wcdysKosrn0Vy9ZKlxy2rhbcePiyZ4wXBDSGJiIianzMg5RlA84hKVJAsGS5ClVXQbk9K1SOBit7zuezZBm+AOuDj+9eJR2aXHKm9lUsWytdogZIGQkYfryx8FXfgOaBdyryGBUn4TEqREQeytbRL/I1edVG0wqovCwd/eJIe4O6VqhshR3L42CGpkv/NA9Wf1oLHHii7jGW72Prd8nhSz6WxnwVK/ZTaRXL/HNYrnT96W3gwJPKLu5y+FIcY2MWvnwjTOHLkTEBN0tF/XJAC+wIDPzG+k5FuW+WE4/DceTvN1eaiIiocbO1XWd+DZBWUeQGnENS6mhvcJv1+9taoRKwL1jZWrE6OP36YyzZWtUyr8WyZxXLcsz+qcrHh2ZZhy/LLUR7thltjen+/5QBzdadioD0n1elwbRyKF9roNUmrjQ5CVeaiIi8XIVeGazMV6jkgnLg+itUmlZAxQVp+wiQrsduUtYeycHqmll9kmWQsLUa5Miqlq2Dj+1ZxbIc0/8LU/iS2XPwcn3GmK+OxXyg/Kzy58+coNxqDYjEjXDk7zdDk4XVq1fj5ZdfRkFBAe688068+eabuOeee677OoYmIqJGyDJImV8DTCtU8tafSmW65kiwsmdby97wZR4sagslMnuCjLPCV30DWm2BcEjKDQcmgKGp3j755BNMnDgRa9euRXR0NF5//XVs2rQJOTk5CA0NrfO1DE1ERE2UM4KVPQXU9q5qDUsHyn41FXSr1MCf1gAH/u5YTZP59p4zwld9A5qtsDU0HWjT1+o/ivpgaKqn6Oho/OlPf8Jbb70FAKipqUFkZCSeeuopzJ8/XzG2vLwc5eXlxscGgwGRkZEMTUREZO16wcqeW/XtCV9+EUD0e1Itlhx2gjoD1aVS2HKkODuwI9DrdSnA3Gj4upGAxpUmz1NRUQF/f3989tlnGD16tPH6pEmTUFxcjK+++koxfunSpXjuuees3oehiYiIXMbe8GVei+UXbgpbjrQBUAebVrZuJHzVN6DVdqeiG2uaePfcHy5evIjq6mqEhYUproeFheHHH3+0Gr9gwQLMmTPH+FheaSIiInIZy0aetV2zvFvQ/HHc3us3nIzbq7yj0Dx8qXysw5eqmfR6OXz5qB0bow4GsmZc/07FgCgpKMl3zyUPkuZqHiJdiKGpnrRaLbRarbunQUREZM1Wl3T5sXnAsBXAzMc4I3zVJ6DJdyr6RZjm5hdhamY5JMXUp0l+vwbA0PSH1q1bo1mzZigsLFRcLywsRHh4uJtmRURE5EbOCl/2jLEMaObXAGX374BIUyBrwI7gPg32mzycRqPB3XffjeTkZOO1mpoaJCcnIyYmxo0zIyIiagI0wdbbbPI1/3bW4cjWNRfjSpOZOXPmYNKkSejduzfuuecevP766ygtLcXkyZPdPTUiIiJyM4YmMw8//DAuXLiAxYsXo6CgAD179sT27dutisOJiIio6WHLASdhc0siIiLv48jfb9Y0EREREdmBoYmIiIjIDgxNRERERHZgaCIiIiKyA0MTERERkR0YmoiIiIjswD5NTiJ3bjAYDG6eCREREdlL/rttTwcmhiYnuXJFOhsnMjLSzTMhIiIiR125cgXBwXUfy8Lmlk5SU1OD8+fPIygoCCqVyqnvbTAYEBkZifz8fDbOdCF+zw2D33PD4PfcMPg9NxxXfddCCFy5cgURERHw8am7aokrTU7i4+ODdu3aXX/gDdDpdPw/ygbA77lh8HtuGPyeGwa/54bjiu/6eitMMhaCExEREdmBoYmIiIjIDgxNXkCr1WLJkiXQarXunkqjxu+5YfB7bhj8nhsGv+eG4wnfNQvBiYiIiOzAlSYiIiIiOzA0EREREdmBoYmIiIjIDgxNRERERHZgaPIQq1evxs033wxfX19ER0dj//79dY7ftGkTunTpAl9fX/To0QNbt25toJl6N0e+53feeQf9+/dHixYt0KJFC8TFxV33PxeSOPrfZ9nHH38MlUqF0aNHu3aCjYSj33NxcTGmTZuGtm3bQqvV4rbbbuP/dtjB0e/59ddfR+fOneHn54fIyEjMnj0b165da6DZeqfU1FSMGjUKERERUKlU+PLLL6/7mpSUFPTq1QtarRa33HIL1q9f7/J5QpDbffzxx0Kj0Yj3339fHD9+XEyZMkWEhISIwsJCm+PT09NFs2bNxIoVK8SJEyfEP/7xD9G8eXNx9OjRBp65d3H0ex4/frxYvXq1OHz4sDh58qR45JFHRHBwsDh37lwDz9y7OPo9y3Jzc8VNN90k+vfvL/7yl780zGS9mKPfc3l5uejdu7cYMWKESEtLE7m5uSIlJUVkZ2c38My9i6Pf84cffii0Wq348MMPRW5urtixY4do27atmD17dgPP3Lts3bpVLFy4UHzxxRcCgNi8eXOd48+cOSP8/f3FnDlzxIkTJ8Sbb74pmjVrJrZv3+7SeTI0eYB77rlHTJs2zfi4urpaREREiGXLltkc/9BDD4mRI0cqrkVHR4vHH3/cpfP0do5+z5aqqqpEUFCQ2LBhg6um2CjU53uuqqoSffv2Fe+++66YNGkSQ5MdHP2e16xZIzp27CgqKioaaoqNgqPf87Rp08S9996ruDZnzhzRr18/l86zMbEnND377LOie/fuimsPP/ywiI+Pd+HMhOD2nJtVVFQgKysLcXFxxms+Pj6Ii4tDZmamzddkZmYqxgNAfHx8reOpft+zpbKyMlRWVqJly5aumqbXq+/3/PzzzyM0NBSJiYkNMU2vV5/v+euvv0ZMTAymTZuGsLAw3H777XjxxRdRXV3dUNP2OvX5nvv27YusrCzjFt6ZM2ewdetWjBgxokHm3FS46+8gD+x1s4sXL6K6uhphYWGK62FhYfjxxx9tvqagoMDm+IKCApfN09vV53u2NG/ePERERFj9HyqZ1Od7TktLw3vvvYfs7OwGmGHjUJ/v+cyZM9i9ezcSEhKwdetWnD59Gk8++SQqKyuxZMmShpi216nP9zx+/HhcvHgRsbGxEEKgqqoKTzzxBP7f//t/DTHlJqO2v4MGgwFXr16Fn5+fS34vV5qI7LB8+XJ8/PHH2Lx5M3x9fd09nUbjypUrmDBhAt555x20bt3a3dNp1GpqahAaGop169bh7rvvxsMPP4yFCxdi7dq17p5ao5KSkoIXX3wRb7/9Ng4dOoQvvvgCW7ZswT//+U93T42cgCtNbta6dWs0a9YMhYWFiuuFhYUIDw+3+Zrw8HCHxlP9vmfZK6+8guXLl2PXrl244447XDlNr+fo9/zzzz/j7NmzGDVqlPFaTU0NAECtViMnJwedOnVy7aS9UH3++9y2bVs0b94czZo1M17r2rUrCgoKUFFRAY1G49I5e6P6fM+LFi3ChAkT8NhjjwEAevTogdLSUkydOhULFy6Ejw/XKpyhtr+DOp3OZatMAFea3E6j0eDuu+9GcnKy8VpNTQ2Sk5MRExNj8zUxMTGK8QCQlJRU63iq3/cMACtWrMA///lPbN++Hb17926IqXo1R7/nLl264OjRo8jOzjb+3H///Rg8eDCys7MRGRnZkNP3GvX573O/fv1w+vRpYygFgJ9++glt27ZlYKpFfb7nsrIyq2AkB1XBo16dxm1/B11aZk52+fjjj4VWqxXr168XJ06cEFOnThUhISGioKBACCHEhAkTxPz5843j09PThVqtFq+88oo4efKkWLJkCVsO2MHR73n58uVCo9GIzz77TPz222/GnytXrrjrI3gFR79nS7x7zj6Ofs95eXkiKChITJ8+XeTk5Ihvv/1WhIaGin/961/u+ghewdHvecmSJSIoKEh89NFH4syZM2Lnzp2iU6dO4qGHHnLXR/AKV65cEYcPHxaHDx8WAMSrr74qDh8+LH755RchhBDz588XEyZMMI6XWw7MnTtXnDx5UqxevZotB5qSN998U0RFRQmNRiPuuece8f333xufGzhwoJg0aZJi/Keffipuu+02odFoRPfu3cWWLVsaeMbeyZHvuX379gKA1c+SJUsafuJextH/PptjaLKfo99zRkaGiI6OFlqtVnTs2FG88MILoqqqqoFn7X0c+Z4rKyvF0qVLRadOnYSvr6+IjIwUTz75pLh8+XLDT9yL7Nmzx+b/3srf7aRJk8TAgQOtXtOzZ0+h0WhEx44dxX/+8x+Xz1MlBNcLiYiIiK6HNU1EREREdmBoIiIiIrIDQxMRERGRHRiaiIiIiOzA0ERERERkB4YmIiIiIjswNBERERHZgaGJiIiIyA4MTUTk9VJSUqBSqVBcXNygv3f9+vUICQm5ofc4e/YsVCoVsrOzax3jrs9HREoMTUTk0VQqVZ0/S5cudfcUiaiJULt7AkREdfntt9+M//7JJ59g8eLFyMnJMV4LDAzEwYMHHX7fiooKaDQap8yRiJoGrjQRkUcLDw83/gQHB0OlUimuBQYGGsdmZWWhd+/e8Pf3R9++fRXhaunSpejZsyfeffdddOjQAb6+vgCA4uJiPPbYY2jTpg10Oh3uvfde/PDDD8bX/fDDDxg8eDCCgoKg0+lw9913W4W0HTt2oGvXrggMDMTw4cMVQa+mpgbPP/882rVrB61Wi549e2L79u11fuatW7fitttug5+fHwYPHoyzZ8/eyFdIRE7C0EREjcbChQuxcuVKHDx4EGq1Go8++qji+dOnT+Pzzz/HF198Yawh+utf/4qioiJs27YNWVlZ6NWrF4YMGYJLly4BABISEtCuXTscOHAAWVlZmD9/Ppo3b258z7KyMrzyyiv44IMPkJqairy8PDzzzDPG59944w2sXLkSr7zyCo4cOYL4+Hjcf//9OHXqlM3PkJ+fjzFjxmDUqFHIzs7GY489hvnz5zv5myKiehFERF7iP//5jwgODra6vmfPHgFA7Nq1y3hty5YtAoC4evWqEEKIJUuWiObNm4uioiLjmO+++07odDpx7do1xft16tRJ/Pvf/xZCCBEUFCTWr19f63wAiNOnTxuvrV69WoSFhRkfR0REiBdeeEHxuj/96U/iySefFEIIkZubKwCIw4cPCyGEWLBggejWrZti/Lx58wQAcfnyZZvzIKKGwZUmImo07rjjDuO/t23bFgBQVFRkvNa+fXu0adPG+PiHH35ASUkJWrVqhcDAQONPbm4ufv75ZwDAnDlz8NhjjyEuLg7Lly83Xpf5+/ujU6dOit8r/06DwYDz58+jX79+itf069cPJ0+etPkZTp48iejoaMW1mJgYu78DInIdFoITUaNhvm2mUqkASDVFsoCAAMX4kpIStG3bFikpKVbvJbcSWLp0KcaPH48tW7Zg27ZtWLJkCT7++GM88MADVr9T/r1CCGd8HCLyMFxpIqImq1evXigoKIBarcYtt9yi+GndurVx3G233YbZs2dj586dGDNmDP7zn//Y9f46nQ4RERFIT09XXE9PT0e3bt1svqZr167Yv3+/4tr333/v4CcjIldgaCKiJisuLg4xMTEYPXo0du7cibNnzyIjIwMLFy7EwYMHcfXqVUyfPh0pKSn45ZdfkJ6ejgMHDqBr1652/465c+fipZdewieffIKcnBzMnz8f2dnZmDlzps3xTzzxBE6dOoW5c+ciJycHGzduxPr16530iYnoRnB7joiaLJVKha1bt2LhwoWYPHkyLly4gPDwcAwYMABhYWFo1qwZfv/9d0ycOBGFhYVo3bo1xowZg+eee87u3zFjxgzo9Xo8/fTTKCoqQrdu3fD111/j1ltvtTk+KioKn3/+OWbPno0333wT99xzD1588UWrOwGJqOGpBDffiYiIiK6L23NEREREdmBoIiIiIrIDQxMRERGRHRiaiIiIiOzA0ERERERkB4YmIiIiIjswNBERERHZgaGJiIiIyA4MTURERER2YGgiIiIisgNDExEREZEd/j/IddSWuvEWsAAAAABJRU5ErkJggg==", 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", 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" ] @@ -621,7 +424,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3.8.13 ('smact_tests')", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -635,9 +438,8 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.13" + "version": "3.9.16" }, - "orig_nbformat": 4, "vscode": { "interpreter": { "hash": "9f89bce96645c075fd87ba4308874c26726cf41cb3962e47a97b7697a60dd355" @@ -645,5 +447,5 @@ } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } diff --git a/docs/tutorials/smact_generation_of_solar_oxides.ipynb b/docs/tutorials/smact_generation_of_solar_oxides.ipynb new file mode 100644 index 00000000..684e4043 --- /dev/null +++ b/docs/tutorials/smact_generation_of_solar_oxides.ipynb @@ -0,0 +1,439 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Quaternary oxide composition generation\n", + "\n", + "This tutorial demonstrates how to generate a set of quaternary oxide compositions using the SMACT library and a modified `smact_filter` function from the `smact_screening` module then prepare the results for machine learning analysis." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Prerequisites\n", + "Before starting, ensure you have the following libraries installed:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/WMD-group/SMACT/blob/docs_updates/docs/tutorials/smact_generation_of_solar_oxides.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Install the required packages\n", + "try:\n", + " import google.colab\n", + "\n", + " IN_COLAB = True\n", + "except:\n", + " IN_COLAB = False\n", + "\n", + "if IN_COLAB:\n", + " !pip install git+https://github.com/WMD-group/SMACT.git --quiet\n", + " !pip install smact pandas pymatgen matminer" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Workflow\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 1. Import required libraries" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "\"\"\"\n", + "This module imports necessary libraries and modules for generating and analyzing\n", + "quaternary oxide compositions using SMACT and machine learning techniques.\n", + "\n", + "\"\"\"\n", + "# Standard library imports\n", + "import multiprocessing\n", + "from itertools import combinations, product\n", + "\n", + "# Third-party imports\n", + "import pandas as pd\n", + "from matminer.featurizers import composition as cf\n", + "from matminer.featurizers.base import MultipleFeaturizer\n", + "from matminer.featurizers.conversions import StrToComposition\n", + "from pymatgen.core import Composition\n", + "\n", + "# Local imports\n", + "import smact\n", + "from smact import screening\n", + "\n", + "\"\"\"\n", + "Imported modules:\n", + "- multiprocessing: For parallel processing capabilities\n", + "- itertools: For generating combinations and products\n", + "- pandas: For data manipulation and analysis\n", + "- matminer: For materials data mining and feature extraction\n", + "- pymatgen: For materials analysis\n", + "- smact: For structure prediction and analysis of new materials\n", + "\"\"\"" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2. Define elements and combinations\n", + "\n", + "Select the elements to use in our compositions" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Define the elements we are interested in\n", + "all_el = smact.element_dictionary()\n", + "symbol_list = [k for k in all_el.keys()]\n", + "\n", + "# List of elements to exclude\n", + "do_not_want = [\n", + " \"H\",\n", + " \"He\",\n", + " \"B\",\n", + " \"C\",\n", + " \"O\",\n", + " \"Ne\",\n", + " \"Ar\",\n", + " \"Kr\",\n", + " \"Tc\",\n", + " \"Xe\",\n", + " \"Rn\",\n", + " \"Ac\",\n", + " \"Th\",\n", + " \"Pa\",\n", + " \"U\",\n", + " \"Np\",\n", + " \"Pu\",\n", + " \"Am\",\n", + " \"Cm\",\n", + " \"Bk\",\n", + " \"Cf\",\n", + " \"Es\",\n", + " \"Fm\",\n", + " \"Md\",\n", + " \"No\",\n", + " \"Lr\",\n", + " \"Ra\",\n", + " \"Fr\",\n", + " \"At\",\n", + " \"Po\",\n", + " \"Pm\",\n", + " \"Eu\",\n", + " \"Tb\",\n", + " \"Yb\",\n", + "]\n", + "\n", + "# Create a list of elements we want to use\n", + "good_elements = [all_el[x] for x in symbol_list if x not in do_not_want]\n", + "\n", + "# Generate all possible combinations of 3 elements from good_elements\n", + "all_el_combos = combinations(good_elements, 3)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 3. Define SMACT filtering function\n", + "\n", + "Create a function to filter element combinations based on SMACT criteria:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def smact_filter(els):\n", + " \"\"\"\n", + " Filter element combinations based on SMACT criteria.\n", + "\n", + " This function takes a combination of elements and applies SMACT\n", + " (Semiconducting Materials from Analogy and Chemical Theory) tests\n", + " to generate potential quaternary oxide compositions.\n", + "\n", + " Args:\n", + " els (tuple): A tuple containing three Element objects.\n", + "\n", + " Returns:\n", + " list: A list of tuples, each containing a set of elements and their ratios\n", + " that pass the SMACT criteria.\n", + " \"\"\"\n", + " all_compounds = []\n", + " elements = [e.symbol for e in els] + [\"O\"]\n", + "\n", + " # Get Pauling electronegativities\n", + " paul_a, paul_b, paul_c = (el.pauling_eneg for el in els)\n", + " electronegativities = [paul_a, paul_b, paul_c, 3.44] # 3.44 is for Oxygen\n", + "\n", + " # Iterate through all possible oxidation state combinations\n", + " for ox_states in product(*(el.oxidation_states for el in els)):\n", + " ox_states = list(ox_states) + [-2] # Add oxygen's oxidation state\n", + "\n", + " # Test for charge balance\n", + " cn_e, cn_r = smact.neutral_ratios(ox_states, threshold=8)\n", + "\n", + " if cn_e:\n", + " # Electronegativity test\n", + " if screening.pauling_test(ox_states, electronegativities):\n", + " compound = (elements, cn_r[0])\n", + " all_compounds.append(compound)\n", + "\n", + " return all_compounds" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4. Process element combinations\n", + "\n", + "Use multiprocessing to apply the SMACT filter to all element combinations:\n", + "\n", + "Here multiprocessing is used to speed things up (generation of all compositions takes ~40 minutes on a 4GHz Intel core i7 iMac)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def process_element_combinations(all_el_combos):\n", + " \"\"\"\n", + " Process all element combinations using multiprocessing.\n", + "\n", + " This function applies the smact_filter to all element combinations\n", + " using a multiprocessing pool to improve performance.\n", + "\n", + " Args:\n", + " all_el_combos (iterable): An iterable of element combinations.\n", + "\n", + " Returns:\n", + " list: A flattened list of all compounds that pass the SMACT criteria.\n", + " \"\"\"\n", + " with multiprocessing.Pool() as p:\n", + " # Apply smact_filter to all element combinations in parallel\n", + " result = p.map(smact_filter, all_el_combos)\n", + "\n", + " # Flatten the list of results\n", + " flat_list = [item for sublist in result for item in sublist]\n", + " return flat_list\n", + "\n", + "\n", + "# Process all element combinations\n", + "flat_list = process_element_combinations(all_el_combos)\n", + "\n", + "# Print the number of compositions found\n", + "print(f\"Number of compositions: {len(flat_list)}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 5. Generate pretty formulas\n", + "\n", + "This step turns the generated compositions into pretty formulas, again using multiprocessing. There should be ~1.1M unique formulas. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def comp_maker(comp):\n", + " \"\"\"\n", + " Convert a composition tuple to a pretty formula string.\n", + "\n", + " Args:\n", + " comp (tuple): A tuple containing two lists - elements and their amounts.\n", + "\n", + " Returns:\n", + " str: The reduced formula of the composition as a string.\n", + " \"\"\"\n", + " # Create a list to store elements and their amounts\n", + " form = []\n", + " # Iterate through elements and their amounts\n", + " for el, ammt in zip(comp[0], comp[1]):\n", + " form.append(el)\n", + " form.append(ammt)\n", + " # Join all elements into a single string\n", + " form = \"\".join(str(e) for e in form)\n", + " # Convert to a Composition object and get the reduced formula\n", + " pmg_form = Composition(form).reduced_formula\n", + " return pmg_form\n", + "\n", + "\n", + "# Use multiprocessing to apply comp_maker to all compositions in flat_list\n", + "with multiprocessing.Pool() as p:\n", + " pretty_formulas = p.map(comp_maker, flat_list)\n", + "\n", + "# Create a list of unique formulas\n", + "unique_pretty_formulas = list(set(pretty_formulas))\n", + "# Print the number of unique composition formulas\n", + "print(f\"Number of unique compositions formulas: {len(unique_pretty_formulas)}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 6. Create DataFrame and add descriptors\n", + "\n", + "Create a DataFrame from the unique formulas and add composition-based descriptors:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Create a DataFrame from the unique pretty formulas\n", + "new_data = pd.DataFrame(unique_pretty_formulas).rename(columns={0: \"pretty_formula\"})\n", + "\n", + "# Remove any duplicate formulas to ensure uniqueness\n", + "new_data = new_data.drop_duplicates(subset=\"pretty_formula\")\n", + "\n", + "# Display summary statistics of the DataFrame\n", + "# This will show count, unique values, top value, and its frequency\n", + "# new_data.describe()\n", + "\n", + "\n", + "# Add descriptor columns\n", + "# This will take a little time as we have over 1 million rows\n", + "\n", + "\n", + "def add_descriptors(data):\n", + " \"\"\"\n", + " Add composition-based descriptors to the dataframe.\n", + "\n", + " This function converts formula strings to composition objects and calculates\n", + " various features using matminer's composition featurizers.\n", + "\n", + " Args:\n", + " data (pd.DataFrame): DataFrame containing 'pretty_formula' column.\n", + "\n", + " Returns:\n", + " pd.DataFrame: DataFrame with added descriptor columns.\n", + " \"\"\"\n", + " # Convert formula strings to composition objects\n", + " str_to_comp = StrToComposition(target_col_id=\"composition_obj\")\n", + " str_to_comp.featurize_dataframe(data, col_id=\"pretty_formula\")\n", + "\n", + " # Initialize multiple featurizers\n", + " feature_calculators = MultipleFeaturizer(\n", + " [\n", + " cf.Stoichiometry(),\n", + " cf.ElementProperty.from_preset(\"magpie\"),\n", + " cf.ValenceOrbital(props=[\"avg\"]),\n", + " cf.IonProperty(fast=True),\n", + " cf.BandCenter(),\n", + " cf.AtomicOrbitals(),\n", + " ]\n", + " )\n", + "\n", + " # Calculate features\n", + " feature_calculators.featurize_dataframe(data, col_id=\"composition_obj\")\n", + "\n", + " # If you need to use feature_labels later, uncomment the following line:\n", + " # feature_labels = feature_calculators.feature_labels()\n", + "\n", + " return data\n", + "\n", + "\n", + "# Apply the function to add descriptors\n", + "new_data = add_descriptors(new_data)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 7. Save results to a CSV file" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Save as .csv file\n", + "new_data.to_csv(\"All_oxide_comps_dataframe_featurized.csv\", chunksize=10000)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Reproducing results\n", + "\n", + "To reproduce these results:\n", + "\n", + "1. Ensure all required libraries are installed.\n", + "\n", + "2. Copy and run the code snippets in order.\n", + "\n", + "3. Be patient, as the process can take several hours depending on your hardware.\n", + "\n", + "The final output will be a CSV file named \"All_oxide_comps_dataframe_featurized.csv\" \n", + "containing all generated compositions with their calculated features.\n", + "\n", + "Note: The exact number of compositions may vary slightly due to the nature of parallel processing and potential updates to the SMACT library" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.16" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/examples/smact_validity/Checking_smact_validity_of_GNoME.ipynb b/docs/tutorials/smact_validity_of_GNoMe.ipynb similarity index 84% rename from examples/smact_validity/Checking_smact_validity_of_GNoME.ipynb rename to docs/tutorials/smact_validity_of_GNoMe.ipynb index fadfd09d..c13d94e7 100644 --- a/examples/smact_validity/Checking_smact_validity_of_GNoME.ipynb +++ b/docs/tutorials/smact_validity_of_GNoMe.ipynb @@ -2,20 +2,25 @@ "cells": [ { "cell_type": "markdown", + "id": "0", + "metadata": {}, "source": [ "# Testing charge-neutrality of the compositions in the GNoME database\n", "\n", " In this notebook, we will check the charge-neutrality of the compositions in the GNoME database (https://www.nature.com/articles/s41586-023-06735-9).\n", " \n", - "[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/WMD-group/SMACT/blob/master/examples/smact_validity/Checking_smact_validity_of_GNoME.ipynb)" - ], - "metadata": { - "collapsed": false - }, - "id": "3ae5a7b818ea5dd5" + "[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/WMD-group/SMACT/blob/docs_updates/docs/tutorials/smact_validity_of_GNoMe.ipynb)" + ] }, { "cell_type": "code", + "execution_count": null, + "id": "1", + "metadata": { + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [], "source": [ "# Install the required packages\n", @@ -29,19 +34,17 @@ "if IN_COLAB:\n", " !pip install git+https://github.com/WMD-group/SMACT.git --quiet\n", "!pip install pandarallel --quiet # Required for parallel processing" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-05-30T15:44:21.965496Z", - "start_time": "2024-05-30T15:44:16.672394Z" - } - }, - "id": "3ade9be4d87b9cd8", - "execution_count": 1 + ] }, { "cell_type": "code", + "execution_count": null, + "id": "2", + "metadata": { + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "name": "stdout", @@ -62,29 +65,36 @@ "import pandas as pd\n", "from pandarallel import pandarallel\n", "\n", - "# Initialise pandarallel\n", - "pandarallel.initialize(progress_bar=True)" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-05-30T15:44:26.317703Z", - "start_time": "2024-05-30T15:44:21.969508Z" - } - }, - "id": "b6ce9202349e502a", - "execution_count": 2 + "\n", + "def initialize_parallel_processing():\n", + " \"\"\"\n", + " Initialize parallel processing using pandarallel.\n", + "\n", + " This function sets up pandarallel for parallel processing of pandas operations,\n", + " enabling a progress bar for better visibility of the computation progress.\n", + " \"\"\"\n", + " pandarallel.initialize(progress_bar=True)\n", + "\n", + "\n", + "# Set up parallel processing\n", + "initialize_parallel_processing()\n", + "\n", + "# The imported modules and functions are used as follows:\n", + "# - smact_validity: To check the charge neutrality of compositions\n", + "# - matplotlib.pyplot: For creating plots and visualizations\n", + "# - pandas: For data manipulation and analysis\n", + "# - pandarallel: To enable parallel processing of pandas operations" + ] }, { - "cell_type": "markdown", - "source": [], + "cell_type": "code", + "execution_count": null, + "id": "3", "metadata": { - "collapsed": false + "jupyter": { + "outputs_hidden": false + } }, - "id": "d2326df320aeb386" - }, - { - "cell_type": "code", "outputs": [ { "name": "stdout", @@ -106,10 +116,81 @@ }, { "data": { - "text/plain": " Unnamed: 0 Composition Formation Energy Per Atom Corrected Energy\n0 0 Cs1S6Zr3 -1.9058 -70.4155\n1 1 Nd7Os1Pr3Si5 -0.5004 -94.0804\n2 2 Ce2La3Pt16Tm15 -1.2960 -237.6016\n3 3 Mn1Ni1Os2Sb12Yb1 -0.3064 -93.6931\n4 4 Er8Ge4Si12Zr12 -0.8718 -254.0953", - "text/html": "
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" + ], + "text/plain": [ + " Unnamed: 0 Composition Formation Energy Per Atom Corrected Energy\n", + "0 0 Cs1S6Zr3 -1.9058 -70.4155\n", + "1 1 Nd7Os1Pr3Si5 -0.5004 -94.0804\n", + "2 2 Ce2La3Pt16Tm15 -1.2960 -237.6016\n", + "3 3 Mn1Ni1Os2Sb12Yb1 -0.3064 -93.6931\n", + "4 4 Er8Ge4Si12Zr12 -0.8718 -254.0953" + ] }, - "execution_count": 3, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -126,88 +207,166 @@ "\n", "# Show first five entries\n", "df.head()" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-05-30T15:44:26.719249Z", - "start_time": "2024-05-30T15:44:26.320710Z" - } - }, - "id": "36f20728ab945627", - "execution_count": 3 + ] }, { "cell_type": "markdown", + "id": "4", + "metadata": {}, "source": [ "`smact_validity` uses the python package `SMACT` to test for charge neutrality, but it is a rather simple function which cannot account for elements with mixed valency in a compound. The working principle behind this function is to systematically trial all the possible oxidation states of the elements in a given material and return True if a charge-balanced set of oxidation states can be found." - ], - "metadata": { - "collapsed": false - }, - "id": "cb2241cbcb9d36e8" + ] }, { "cell_type": "code", + "execution_count": null, + "id": "5", + "metadata": { + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { - "text/plain": "VBox(children=(HBox(children=(IntProgress(value=0, description='0.00%', max=48109), Label(value='0 / 48109')))…", "application/vnd.jupyter.widget-view+json": { + "model_id": "054530e7da2c4137ad2a8d875c73ae75", "version_major": 2, - "version_minor": 0, - "model_id": "054530e7da2c4137ad2a8d875c73ae75" - } + "version_minor": 0 + }, + "text/plain": [ + "VBox(children=(HBox(children=(IntProgress(value=0, description='0.00%', max=48109), Label(value='0 / 48109')))…" + ] }, "metadata": {}, "output_type": "display_data" }, { "data": { - "text/plain": " Unnamed: 0 Composition Formation Energy Per Atom Corrected Energy \\\n0 0 Cs1S6Zr3 -1.9058 -70.4155 \n1 1 Nd7Os1Pr3Si5 -0.5004 -94.0804 \n2 2 Ce2La3Pt16Tm15 -1.2960 -237.6016 \n3 3 Mn1Ni1Os2Sb12Yb1 -0.3064 -93.6931 \n4 4 Er8Ge4Si12Zr12 -0.8718 -254.0953 \n\n smact_valid \n0 False \n1 False \n2 True \n3 True \n4 True ", - "text/html": "
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" + ], + "text/plain": [ + " Unnamed: 0 Composition Formation Energy Per Atom Corrected Energy \\\n", + "0 0 Cs1S6Zr3 -1.9058 -70.4155 \n", + "1 1 Nd7Os1Pr3Si5 -0.5004 -94.0804 \n", + "2 2 Ce2La3Pt16Tm15 -1.2960 -237.6016 \n", + "3 3 Mn1Ni1Os2Sb12Yb1 -0.3064 -93.6931 \n", + "4 4 Er8Ge4Si12Zr12 -0.8718 -254.0953 \n", + "\n", + " smact_valid \n", + "0 False \n", + "1 False \n", + "2 True \n", + "3 True \n", + "4 True " + ] }, - "execution_count": 4, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Run the SMACT validity test on the GNoME materials\n", - "df[\"smact_valid\"] = df[\"Composition\"].parallel_apply(\n", - " smact_validity\n", - ") # Alloys will pass the test\n", + "df[\"smact_valid\"] = df[\"Composition\"].parallel_apply(smact_validity) # Alloys will pass the test\n", "df.head()" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-05-30T15:47:25.842081Z", - "start_time": "2024-05-30T15:44:26.724244Z" - } - }, - "id": "5317666a5b0ce875", - "execution_count": 4 + ] }, { "cell_type": "markdown", + "id": "6", + "metadata": {}, "source": [ "## Plotting the results\n", "\n", "Let's plot the number of materials that pass the SMACT validity test and the total number of materials in the GNoME database." - ], - "metadata": { - "collapsed": false - }, - "id": "c2b47eae2d3babce" + ] }, { "cell_type": "code", + "execution_count": null, + "id": "7", + "metadata": { + "jupyter": { + "outputs_hidden": false + } + }, "outputs": [ { "data": { - "text/plain": "
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" 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", + "text/plain": [ + "
" + ] }, "metadata": {}, "output_type": "display_data" @@ -229,46 +388,35 @@ "ax.set_xlim(right=max(counts) * 1.1) # Adjust x-axis limit based on data\n", "plt.tight_layout()\n", "plt.show()" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-05-30T15:47:26.294551Z", - "start_time": "2024-05-30T15:47:25.847080Z" - } - }, - "id": "6a7c9b0b2074d22e", - "execution_count": 5 + ] }, { "cell_type": "markdown", + "id": "8", + "metadata": {}, "source": [ "## Conclusion\n", "The SMACT validity test is a simple test that can be used to check the charge-neutrality of a material. However, it is not perfect and cannot account for elements with mixed valency in a compound. In this notebook, we have used the SMACT validity test to check the charge-neutrality of the compositions in the GNoME database. We found around 81% the materials in the GNoME database can be charged-balanced using SMACT." - ], - "metadata": { - "collapsed": false - }, - "id": "ea70b68f565edab" + ] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", - "version": 2 + "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", - "pygments_lexer": "ipython2", - "version": "2.7.6" + "pygments_lexer": "ipython3", + "version": "3.9.16" } }, "nbformat": 4, diff --git a/examples/smact_validity/stable_materials_hull.csv b/docs/tutorials/stable_materials_hull.csv similarity index 100% rename from examples/smact_validity/stable_materials_hull.csv rename to docs/tutorials/stable_materials_hull.csv diff --git a/examples/Cation_mutation/cation_mutation.ipynb b/examples/Cation_mutation/cation_mutation.ipynb deleted file mode 100644 index c6091c8a..00000000 --- a/examples/Cation_mutation/cation_mutation.ipynb +++ /dev/null @@ -1,250 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Using distorter\n", - " \n", - " The concept of cation mutation (ion substitution) to tune the properties of compounds has been around at least [since the 1950s](https://www.sciencedirect.com/science/article/pii/0022369758900507) and has proved a useful concept in [more recent studies](https://journals.aps.org/prb/abstract/10.1103/PhysRevB.79.165211).\n", - "\n", - "![](cation_mutation.png)\n", - "\n", - "This example generates all possible (symmetry inequivalent) substitutions of Sr on Ba sites in the cubic perovskite\n", - "BaTiO3; single and double substitutions.\n", - "The distorter module uses the [ASE Python library](https://wiki.fysik.dtu.dk/ase/) to achieve this." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import smact.builder as builder\n", - "import smact.distorter as distort" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "--------------------------------------------------------------------\n", - "Original coordinates: \n", - "0.000 0.000 0.000 Ba\t0.000 6.000 6.000 Ba\t6.000 6.000 0.000 Ba\t\n", - "3.000 3.000 3.000 Ti\t3.000 9.000 9.000 Ti\t9.000 9.000 3.000 Ti\t\n", - "3.000 3.000 0.000 O\t3.000 9.000 6.000 O\t9.000 9.000 0.000 O\t\n", - "0.000 3.000 3.000 O\t0.000 9.000 9.000 O\t6.000 9.000 3.000 O\t\n", - "3.000 0.000 3.000 O\t3.000 6.000 9.000 O\t9.000 6.000 3.000 O\t\n", - "0.000 0.000 6.000 Ba\t6.000 0.000 0.000 Ba\t6.000 6.000 6.000 Ba\t\n", - "3.000 3.000 9.000 Ti\t9.000 3.000 3.000 Ti\t9.000 9.000 9.000 Ti\t\n", - "3.000 3.000 6.000 O\t9.000 3.000 0.000 O\t9.000 9.000 6.000 O\t\n", - "0.000 3.000 9.000 O\t6.000 3.000 3.000 O\t6.000 9.000 9.000 O\t\n", - "3.000 0.000 9.000 O\t9.000 0.000 3.000 O\t9.000 6.000 9.000 O\t\n", - "0.000 6.000 0.000 Ba\t6.000 0.000 6.000 Ba\t\n", - "3.000 9.000 3.000 Ti\t9.000 3.000 9.000 Ti\t\n", - "3.000 9.000 0.000 O\t9.000 3.000 6.000 O\t\n", - "0.000 9.000 3.000 O\t6.000 3.000 9.000 O\t\n", - "3.000 6.000 3.000 O\t9.000 0.000 9.000 O\t\n", - "--------------------------------------------------------------------\n", - "Single: \n", - "0.000 0.000 0.000 Sr\t0.000 6.000 6.000 Ba\t6.000 6.000 0.000 Ba\t\n", - "3.000 3.000 3.000 Ti\t3.000 9.000 9.000 Ti\t9.000 9.000 3.000 Ti\t\n", - "3.000 3.000 0.000 O\t3.000 9.000 6.000 O\t9.000 9.000 0.000 O\t\n", - "0.000 3.000 3.000 O\t0.000 9.000 9.000 O\t6.000 9.000 3.000 O\t\n", - "3.000 0.000 3.000 O\t3.000 6.000 9.000 O\t9.000 6.000 3.000 O\t\n", - "0.000 0.000 6.000 Ba\t6.000 0.000 0.000 Ba\t6.000 6.000 6.000 Ba\t\n", - "3.000 3.000 9.000 Ti\t9.000 3.000 3.000 Ti\t9.000 9.000 9.000 Ti\t\n", - "3.000 3.000 6.000 O\t9.000 3.000 0.000 O\t9.000 9.000 6.000 O\t\n", - "0.000 3.000 9.000 O\t6.000 3.000 3.000 O\t6.000 9.000 9.000 O\t\n", - "3.000 0.000 9.000 O\t9.000 0.000 3.000 O\t9.000 6.000 9.000 O\t\n", - "0.000 6.000 0.000 Ba\t6.000 0.000 6.000 Ba\t\n", - "3.000 9.000 3.000 Ti\t9.000 3.000 9.000 Ti\t\n", - "3.000 9.000 0.000 O\t9.000 3.000 6.000 O\t\n", - "0.000 9.000 3.000 O\t6.000 3.000 9.000 O\t\n", - "3.000 6.000 3.000 O\t9.000 0.000 9.000 O\t\n", - "--------------------------------------------------------------------\n", - "Substituted coordinates 0\n", - "0.000 0.000 0.000 Sr\t0.000 6.000 6.000 Ba\t6.000 6.000 0.000 Ba\t\n", - "3.000 3.000 3.000 Ti\t3.000 9.000 9.000 Ti\t9.000 9.000 3.000 Ti\t\n", - "3.000 3.000 0.000 O\t3.000 9.000 6.000 O\t9.000 9.000 0.000 O\t\n", - "0.000 3.000 3.000 O\t0.000 9.000 9.000 O\t6.000 9.000 3.000 O\t\n", - "3.000 0.000 3.000 O\t3.000 6.000 9.000 O\t9.000 6.000 3.000 O\t\n", - "0.000 0.000 6.000 Sr\t6.000 0.000 0.000 Ba\t6.000 6.000 6.000 Ba\t\n", - "3.000 3.000 9.000 Ti\t9.000 3.000 3.000 Ti\t9.000 9.000 9.000 Ti\t\n", - "3.000 3.000 6.000 O\t9.000 3.000 0.000 O\t9.000 9.000 6.000 O\t\n", - "0.000 3.000 9.000 O\t6.000 3.000 3.000 O\t6.000 9.000 9.000 O\t\n", - "3.000 0.000 9.000 O\t9.000 0.000 3.000 O\t9.000 6.000 9.000 O\t\n", - "0.000 6.000 0.000 Ba\t6.000 0.000 6.000 Ba\t\n", - "3.000 9.000 3.000 Ti\t9.000 3.000 9.000 Ti\t\n", - "3.000 9.000 0.000 O\t9.000 3.000 6.000 O\t\n", - "0.000 9.000 3.000 O\t6.000 3.000 9.000 O\t\n", - "3.000 6.000 3.000 O\t9.000 0.000 9.000 O\t\n", - "--------------------------------------------------------------------\n", - "Substituted coordinates 1\n", - "0.000 0.000 0.000 Sr\t0.000 6.000 6.000 Sr\t6.000 6.000 0.000 Ba\t\n", - "3.000 3.000 3.000 Ti\t3.000 9.000 9.000 Ti\t9.000 9.000 3.000 Ti\t\n", - "3.000 3.000 0.000 O\t3.000 9.000 6.000 O\t9.000 9.000 0.000 O\t\n", - "0.000 3.000 3.000 O\t0.000 9.000 9.000 O\t6.000 9.000 3.000 O\t\n", - "3.000 0.000 3.000 O\t3.000 6.000 9.000 O\t9.000 6.000 3.000 O\t\n", - "0.000 0.000 6.000 Ba\t6.000 0.000 0.000 Ba\t6.000 6.000 6.000 Ba\t\n", - "3.000 3.000 9.000 Ti\t9.000 3.000 3.000 Ti\t9.000 9.000 9.000 Ti\t\n", - "3.000 3.000 6.000 O\t9.000 3.000 0.000 O\t9.000 9.000 6.000 O\t\n", - "0.000 3.000 9.000 O\t6.000 3.000 3.000 O\t6.000 9.000 9.000 O\t\n", - "3.000 0.000 9.000 O\t9.000 0.000 3.000 O\t9.000 6.000 9.000 O\t\n", - "0.000 6.000 0.000 Ba\t6.000 0.000 6.000 Ba\t\n", - "3.000 9.000 3.000 Ti\t9.000 3.000 9.000 Ti\t\n", - "3.000 9.000 0.000 O\t9.000 3.000 6.000 O\t\n", - "0.000 9.000 3.000 O\t6.000 3.000 9.000 O\t\n", - "3.000 6.000 3.000 O\t9.000 0.000 9.000 O\t\n", - "--------------------------------------------------------------------\n", - "Substituted coordinates 2\n", - "0.000 0.000 0.000 Sr\t0.000 6.000 6.000 Ba\t6.000 6.000 0.000 Ba\t\n", - "3.000 3.000 3.000 Ti\t3.000 9.000 9.000 Ti\t9.000 9.000 3.000 Ti\t\n", - "3.000 3.000 0.000 O\t3.000 9.000 6.000 O\t9.000 9.000 0.000 O\t\n", - "0.000 3.000 3.000 O\t0.000 9.000 9.000 O\t6.000 9.000 3.000 O\t\n", - "3.000 0.000 3.000 O\t3.000 6.000 9.000 O\t9.000 6.000 3.000 O\t\n", - "0.000 0.000 6.000 Ba\t6.000 0.000 0.000 Sr\t6.000 6.000 6.000 Ba\t\n", - "3.000 3.000 9.000 Ti\t9.000 3.000 3.000 Ti\t9.000 9.000 9.000 Ti\t\n", - "3.000 3.000 6.000 O\t9.000 3.000 0.000 O\t9.000 9.000 6.000 O\t\n", - "0.000 3.000 9.000 O\t6.000 3.000 3.000 O\t6.000 9.000 9.000 O\t\n", - "3.000 0.000 9.000 O\t9.000 0.000 3.000 O\t9.000 6.000 9.000 O\t\n", - "0.000 6.000 0.000 Ba\t6.000 0.000 6.000 Ba\t\n", - "3.000 9.000 3.000 Ti\t9.000 3.000 9.000 Ti\t\n", - "3.000 9.000 0.000 O\t9.000 3.000 6.000 O\t\n", - "0.000 9.000 3.000 O\t6.000 3.000 9.000 O\t\n", - "3.000 6.000 3.000 O\t9.000 0.000 9.000 O\t\n", - "--------------------------------------------------------------------\n", - "Substituted coordinates 3\n", - "0.000 0.000 0.000 Sr\t0.000 6.000 6.000 Ba\t6.000 6.000 0.000 Ba\t\n", - "3.000 3.000 3.000 Ti\t3.000 9.000 9.000 Ti\t9.000 9.000 3.000 Ti\t\n", - "3.000 3.000 0.000 O\t3.000 9.000 6.000 O\t9.000 9.000 0.000 O\t\n", - "0.000 3.000 3.000 O\t0.000 9.000 9.000 O\t6.000 9.000 3.000 O\t\n", - "3.000 0.000 3.000 O\t3.000 6.000 9.000 O\t9.000 6.000 3.000 O\t\n", - "0.000 0.000 6.000 Ba\t6.000 0.000 0.000 Ba\t6.000 6.000 6.000 Ba\t\n", - "3.000 3.000 9.000 Ti\t9.000 3.000 3.000 Ti\t9.000 9.000 9.000 Ti\t\n", - "3.000 3.000 6.000 O\t9.000 3.000 0.000 O\t9.000 9.000 6.000 O\t\n", - "0.000 3.000 9.000 O\t6.000 3.000 3.000 O\t6.000 9.000 9.000 O\t\n", - "3.000 0.000 9.000 O\t9.000 0.000 3.000 O\t9.000 6.000 9.000 O\t\n", - "0.000 6.000 0.000 Ba\t6.000 0.000 6.000 Sr\t\n", - "3.000 9.000 3.000 Ti\t9.000 3.000 9.000 Ti\t\n", - "3.000 9.000 0.000 O\t9.000 3.000 6.000 O\t\n", - "0.000 9.000 3.000 O\t6.000 3.000 9.000 O\t\n", - "3.000 6.000 3.000 O\t9.000 0.000 9.000 O\t\n", - "--------------------------------------------------------------------\n", - "Substituted coordinates 4\n", - "0.000 0.000 0.000 Sr\t0.000 6.000 6.000 Ba\t6.000 6.000 0.000 Ba\t\n", - "3.000 3.000 3.000 Ti\t3.000 9.000 9.000 Ti\t9.000 9.000 3.000 Ti\t\n", - "3.000 3.000 0.000 O\t3.000 9.000 6.000 O\t9.000 9.000 0.000 O\t\n", - "0.000 3.000 3.000 O\t0.000 9.000 9.000 O\t6.000 9.000 3.000 O\t\n", - "3.000 0.000 3.000 O\t3.000 6.000 9.000 O\t9.000 6.000 3.000 O\t\n", - "0.000 0.000 6.000 Ba\t6.000 0.000 0.000 Ba\t6.000 6.000 6.000 Sr\t\n", - "3.000 3.000 9.000 Ti\t9.000 3.000 3.000 Ti\t9.000 9.000 9.000 Ti\t\n", - "3.000 3.000 6.000 O\t9.000 3.000 0.000 O\t9.000 9.000 6.000 O\t\n", - "0.000 3.000 9.000 O\t6.000 3.000 3.000 O\t6.000 9.000 9.000 O\t\n", - "3.000 0.000 9.000 O\t9.000 0.000 3.000 O\t9.000 6.000 9.000 O\t\n", - "0.000 6.000 0.000 Ba\t6.000 0.000 6.000 Ba\t\n", - "3.000 9.000 3.000 Ti\t9.000 3.000 9.000 Ti\t\n", - "3.000 9.000 0.000 O\t9.000 3.000 6.000 O\t\n", - "0.000 9.000 3.000 O\t6.000 3.000 9.000 O\t\n", - "3.000 6.000 3.000 O\t9.000 0.000 9.000 O\t\n", - "====================================================================\n" - ] - } - ], - "source": [ - "def pretty_print_atoms(atoms, linewrap=15):\n", - " entries = [\n", - " \"{0:5.3f} {1:5.3f} {2:5.3f} {symbol}\".format(*position, symbol=symbol)\n", - " for position, symbol in zip(\n", - " atoms.get_positions(), atoms.get_chemical_symbols()\n", - " )\n", - " ]\n", - "\n", - " for output_i in range(linewrap):\n", - " line = \"\"\n", - " for i, entry in enumerate(entries):\n", - " if output_i == i % linewrap:\n", - " line = line + entry + \"\\t\"\n", - " print(line)\n", - "\n", - "\n", - "# Build the input\n", - "smact_lattice, test_case = builder.cubic_perovskite(\n", - " [\"Ba\", \"Ti\", \"O\"], repetitions=[2, 2, 2]\n", - ")\n", - "\n", - "hlinewidth = 68\n", - "\n", - "\n", - "print(\"-\" * hlinewidth)\n", - "print(\"Original coordinates: \")\n", - "pretty_print_atoms(test_case)\n", - "print(\"-\" * hlinewidth)\n", - "\n", - "# Do the single substitution first, it is trivial as all Ba\n", - "# sites are equivalent we will choose the first Ba\n", - "subs_site = [0.0, 0.0, 0.0]\n", - "single_substitution = distort.make_substitution(test_case, subs_site, \"Sr\")\n", - "print(\"Single: \")\n", - "pretty_print_atoms(single_substitution)\n", - "\n", - "# Build a sub-lattice you wish to disorder [test case do the Ba sub-lattice]\n", - "sub_lattice = distort.build_sub_lattice(single_substitution, \"Ba\")\n", - "\n", - "# Enumerate the inequivalent sites\n", - "inequivalent_sites = distort.get_inequivalent_sites(\n", - " sub_lattice, single_substitution\n", - ")\n", - "\n", - "# Replace Ba at inequivalent sites with Sr\n", - "for i, inequivalent_site in enumerate(inequivalent_sites):\n", - " print(\"-\" * hlinewidth)\n", - " print(f\"Substituted coordinates {i}\")\n", - " distorted = distort.make_substitution(\n", - " single_substitution, inequivalent_site, \"Sr\"\n", - " )\n", - " pretty_print_atoms(distorted)\n", - "\n", - "print(\"=\" * hlinewidth)" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [], - "source": [ - "# The distorted objects are of the ase atoms class,\n", - "# so can be written out to a crystal structure file like a cif\n", - "distorted.write(\"example_output.cif\")" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.1" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/Cation_mutation/cation_mutation.png b/examples/Cation_mutation/cation_mutation.png deleted file mode 100644 index 03b31608..00000000 Binary files a/examples/Cation_mutation/cation_mutation.png and /dev/null differ diff --git a/examples/Counting/ElementCombinationsParallel.py b/examples/Counting/ElementCombinationsParallel.py deleted file mode 100644 index d19dede1..00000000 --- a/examples/Counting/ElementCombinationsParallel.py +++ /dev/null @@ -1,274 +0,0 @@ -#! /usr/bin/env python - -import itertools -import time -from multiprocessing import Pool -from sys import stdout - -import smact -from smact.screening import eneg_states_test - -element_list = smact.ordered_elements(1, 103) -elements = smact.element_dictionary(element_list) - -max_n = 4 -neutral_stoichiometries_threshold = 8 -include_pauling_test = True -pauling_test_threshold = 0.0 - -# Number of times to report progress during the counting loop. - -count_progress_interval = 100 - -# Parameters for the threaded version of the code. - -mp_use = True -mp_processes = 4 -mp_chunk_size = 10 - - -def print_status(text): - "Refresh progress meter on one line" - stdout.write(text + "\r") - stdout.flush() - - -def count_iter(iterator): - """Efficiently count number of items in an iterator""" - return sum(1 for _ in iterator) - - -def count_element_combination(args): - """Count the oxidation state combinations for a given set of elements. - - The arguments are grouped together into a single tuple. This allows use - with the mapping functions of the multiprocessing.Pool class. - - The format of the tuple should be: - (element_combination, n, neutral_stoichs_lookup) - where element_combination is a tuple of smact.Element objects, - n is the number of species to be included in a compound (e.g. n=3 for - AxByCz materials), neutral_stoichs_lookup is a dictionary of - the number of permitted neutral stoichiometry combinations given a sorted - list of oxidation states. - - """ - element_combination, n, neutral_stoichs_lookup = args - - count = 0 - - # Create a list of all the unique ionic species, - # each represented as (symbol, state, eneg) - oxidation_states_list = [ - (element.symbol, oxidation_state, element.pauling_eneg) - for element in element_combination - for oxidation_state in element.oxidation_states - ] - - # Screen on charge neutrality - # and on electronegativity ordering if include_pauling_test = True - # (eneg_states_test is a special case of pauling_test where threshold=0, - # repeat_anions=True, repeat_cations=True) - - for state_combination in itertools.combinations(oxidation_states_list, n): - oxidation_states = [x[1] for x in state_combination] - pauling_electronegativities = [x[2] for x in state_combination] - - sorted_states = tuple(sorted(oxidation_states)) - - if include_pauling_test: - if neutral_stoichs_lookup[sorted_states] and eneg_states_test( - oxidation_states, pauling_electronegativities - ): - count += neutral_stoichs_lookup[sorted_states] - else: - count += neutral_stoichs_lookup[sorted_states] - return count - - -def main(): - """ - Count element combinations which satisfy charge neutrality and Pauling - electronegativity constraints. - """ - - # Obtain the unique oxidation states across all the elements considered. - oxidation_states = { - oxidation_state - for element in list(elements.values()) - for oxidation_state in element.oxidation_states - } - - # List unique oxidation-state combinations for each set of - # n-element combinations - oxidation_state_combinations = { - n: list(itertools.combinations_with_replacement(oxidation_states, n)) - for n in range(2, max_n + 1) - } - - # Sort combinations and cast to tuples -- - # these will be used as keys to a lookup table below. - oxidation_state_combinations = { - key: [tuple(sorted(item)) for item in value] - for key, value in list(oxidation_state_combinations.items()) - } - - # Print the number of combinations of oxidation states for each value - # of n to be analysed. Note that this will include ridiculous combinations - # such as (+1, +2, +1) - print("Combinations of known oxidation states:") - - for i in range(2, max_n + 1): - print(f"m = {i}: {len(oxidation_state_combinations[i])}") - - print("") - - # Initialise a thread pool for multi-threaded calculations if required - thread_pool = Pool(processes=mp_processes) if mp_use else None - - for n in range(2, max_n + 1): - # Build lookup table with the number of charge-neutral stoichiometries - # for each combination of oxidation-states. - # Uses the tuples in oxidation_state_combinations as keys. - # For combinations where all the states are positive or negative, the - # number will be zero. - - # This code is rather ugly, consisting of nested functions inside a - # list comprehension. This is done in order to minimise memory access - # but is equivalent to: - # - # neutral_stoichiometries = {} - # for oxidation_states in oxidation_state_combinations[n]: - # count = n_neutral_ratios(oxidation_states) - # neutral_stoichiometries.update({oxidation_states: count}) - - def n_neutral_ratios(oxidation_states, threshold=8): - return len( - smact.neutral_ratios(oxidation_states, threshold=threshold)[1] - ) - - neutral_stoichiometries = { - oxidation_states: n_neutral_ratios( - oxidation_states, threshold=neutral_stoichiometries_threshold - ) - for oxidation_states in oxidation_state_combinations[n] - } - - start_time = time.time() - - # Count the number of element combinations - this is needed for the - # progress indicator. - - combination_count = sum( - count_iter(itertools.combinations(element_list, i)) - for i in range(2, n + 1) - ) - - print( - "Counting ({} element combinations)" "...".format(combination_count) - ) - - # Combinations are counted in chunks set by count_progress_interval. - # In Python 2.7 the // symbol is "integer division" which rounds - # downwards to the nearest integer. - - batch_size = combination_count // count_progress_interval - data_pointer = 0 - - # Set up a generator expression to return combinations of elements. - # Generators are evaluated lazily in Python, which avoids keeping all - # the combinations in memory - doing so can require quite a lot for - # large n (~300 Mb for quaternaries). To count the combinations in - # chunks, a second generator expression is used in the while loop - # (below) which calls next() on the generator the required number of - # times. As well as keeping memory usage fairly constant, this seems - # to carry little, if any, CPU overhead compared to creating and - # slicing a list. So, it's perhaps a bit "filthy", but... - - combination_generator = ( - [elements[symbol] for symbol in element_combination] - for i in range(2, n + 1) - for element_combination in itertools.combinations(element_list, i) - ) - - # Count and sum charge-neutral combinations of oxidation states for - # each of the combinations in element_combinations. - - count = 0 - - while data_pointer < combination_count: - iterations = min(batch_size, combination_count - data_pointer) - - imap_arg_generator = ( - (next(combination_generator), n, neutral_stoichiometries) - for i in range(0, iterations) - ) - - if mp_use: - # Threaded code path -- iteration over element combinations is - # done using the multiprocessing.Pool.imap_unordered() - # function. - - count = count + sum( - thread_pool.imap_unordered( - count_element_combination, - imap_arg_generator, - chunksize=mp_chunk_size, - ) - ) - else: - # Serial code path -- iteration over element combinations is - # done using the itertools.imap() function. - - count = count + sum( - map(count_element_combination, imap_arg_generator) - ) - - # After each chunk, report the % progress, elapsed time and an - # estimate of the remaining time. The smact.pauling_test() calls - # take a variable amount of time, so the estimate of the remaining - # time is not always accurate, particularly for the first few - # cycles. - - data_pointer = data_pointer + iterations - - percent_done = 100 * float(data_pointer) / float(combination_count) - - time_elapsed = time.time() - start_time - time_remaining = ( - combination_count * (time_elapsed / data_pointer) - time_elapsed - ) - - print_status( - " -> {}/{} done ({:.2f} %); {:.2f} s elapsed, " - "~{:.2f} s remaining".format( - data_pointer, - combination_count, - percent_done, - time_elapsed, - time_remaining, - ) - ) - - print("") - - total_time = time.time() - start_time - - # Print results and total time for counting. - - print( - "Number of charge-neutral stoichiometries for combinations " - "of {} elements".format(n) - ) - print( - "(using known oxidation states, not including zero): " - "{}".format(count) - ) - print("") - - print(f"Total time for counting: {total_time:.3f} sec") - print("") - - -if __name__ == "__main__": - main() diff --git a/examples/Counting/Generate_compositions_lists.ipynb b/examples/Counting/Generate_compositions_lists.ipynb deleted file mode 100644 index 51d6f255..00000000 --- a/examples/Counting/Generate_compositions_lists.ipynb +++ /dev/null @@ -1,395 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Generate a list of SMACT-allowed compositions\n", - "This notebook provides a short demo of how to use SMACT to generate a list of element compositions that could later be used as input for machine learning or some other screening workflow. \n", - "We use the standard `smact_filter` as described in the [docs](https://smact.readthedocs.io/en/latest/examples.html#neutral-combinations) and outlined more fully in [this research paper](https://www.ncbi.nlm.nih.gov/pubmed/27790643).\n", - "\n", - "In the example below, we generate ternary oxide compositions of the first row transition metals." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "# Imports\n", - "import itertools\n", - "import multiprocessing\n", - "from datetime import datetime\n", - "\n", - "from smact import Element, element_dictionary, ordered_elements\n", - "from smact.screening import smact_filter" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We define the elements we are interested in:" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## List generation" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "['Sc', 'Ti', 'V', 'Cr', 'Mn', 'Fe', 'Co', 'Ni', 'Cu', 'Zn']\n" - ] - } - ], - "source": [ - "all_el = element_dictionary() # A dictionary of all element objects\n", - "\n", - "# Say we are just interested in first row transition metals\n", - "els = [all_el[symbol] for symbol in ordered_elements(21, 30)]\n", - "\n", - "# We can print the symbols\n", - "print([i.symbol for i in els])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We will investiage ternary M1-M2-O combinations exhaustively, where M1 and M2 are different transition metals." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Sc Ti O\n", - "Sc V O\n", - "Sc Cr O\n", - "Sc Mn O\n", - "Sc Fe O\n", - "Sc Co O\n", - "Sc Ni O\n", - "Sc Cu O\n", - "Sc Zn O\n", - "Ti V O\n", - "Ti Cr O\n", - "Ti Mn O\n", - "Ti Fe O\n", - "Ti Co O\n", - "Ti Ni O\n", - "Ti Cu O\n", - "Ti Zn O\n", - "V Cr O\n", - "V Mn O\n", - "V Fe O\n", - "V Co O\n", - "V Ni O\n", - "V Cu O\n", - "V Zn O\n", - "Cr Mn O\n", - "Cr Fe O\n", - "Cr Co O\n", - "Cr Ni O\n", - "Cr Cu O\n", - "Cr Zn O\n", - "Mn Fe O\n", - "Mn Co O\n", - "Mn Ni O\n", - "Mn Cu O\n", - "Mn Zn O\n", - "Fe Co O\n", - "Fe Ni O\n", - "Fe Cu O\n", - "Fe Zn O\n", - "Co Ni O\n", - "Co Cu O\n", - "Co Zn O\n", - "Ni Cu O\n", - "Ni Zn O\n", - "Cu Zn O\n" - ] - } - ], - "source": [ - "# Generate all M1-M2 combinations\n", - "metal_pairs = itertools.combinations(els, 2)\n", - "# Add O to each pair\n", - "ternary_systems = [[*m, Element(\"O\")] for m in metal_pairs]\n", - "# Prove to ourselves that we have all unique chemical systems\n", - "for i in ternary_systems:\n", - " print(i[0].symbol, i[1].symbol, i[2].symbol)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Time taken to generate list: 0:00:00.448839\n" - ] - } - ], - "source": [ - "# Use multiprocessing and smact_filter to quickly generate our list of compositions\n", - "start = datetime.now()\n", - "if __name__ == \"__main__\": # Always use pool protected in an if statement\n", - " with multiprocessing.Pool(processes=4) as p: # start 4 worker processes\n", - " result = p.map(smact_filter, ternary_systems)\n", - "print(f\"Time taken to generate list: {datetime.now() - start}\")" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Number of compositions: --> 16615 <--\n", - "Each list entry looks like this:\n", - " elements, oxidation states, stoichiometries\n", - "(('Sc', 'Ti', 'O'), (1, -1, -2), (3, 1, 1))\n", - "(('Sc', 'Ti', 'O'), (1, -1, -2), (4, 2, 1))\n", - "(('Sc', 'Ti', 'O'), (1, -1, -2), (5, 1, 2))\n", - "(('Sc', 'Ti', 'O'), (1, -1, -2), (5, 3, 1))\n", - "(('Sc', 'Ti', 'O'), (1, -1, -2), (6, 4, 1))\n" - ] - } - ], - "source": [ - "# Flatten the list of lists\n", - "flat_list = [item for sublist in result for item in sublist]\n", - "print(f\"Number of compositions: --> {len(flat_list)} <--\")\n", - "print(\n", - " \"Each list entry looks like this:\\n elements, oxidation states, stoichiometries\"\n", - ")\n", - "for i in flat_list[:5]:\n", - " print(i)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Next steps\n", - "### Pymatgen reduced formulas\n", - "We could turn the compositions into reduced formula using pymatgen (we lost the oxidation state information in this example)." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Each list entry now looks like this: \n", - "Sc3TiO\n", - "Sc4Ti2O\n", - "Sc5TiO2\n", - "Sc5Ti3O\n", - "Sc6Ti4O\n" - ] - } - ], - "source": [ - "from pymatgen.core import Composition\n", - "\n", - "\n", - "def comp_maker(comp):\n", - " form = []\n", - " for el, ammt in zip(comp[0], comp[2]):\n", - " form.append(el)\n", - " form.append(ammt)\n", - " form = \"\".join(str(e) for e in form)\n", - " pmg_form = Composition(form).reduced_formula\n", - " return pmg_form\n", - "\n", - "\n", - "if __name__ == \"__main__\":\n", - " with multiprocessing.Pool(processes=4) as p:\n", - " pretty_formulas = p.map(comp_maker, flat_list)\n", - "\n", - "print(\"Each list entry now looks like this: \")\n", - "for i in pretty_formulas[:5]:\n", - " print(i)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Pandas\n", - "Finally, we could put this into a pandas DataFrame." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "text/html": [ - "
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pretty_formula
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" - ], - "text/plain": [ - " pretty_formula\n", - "count 9353\n", - "unique 9353\n", - "top Ti3V4O7\n", - "freq 1" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import pandas as pd\n", - "\n", - "new_data = pd.DataFrame({\"pretty_formula\": pretty_formulas})\n", - "# Drop any duplicate compositions\n", - "new_data = new_data.drop_duplicates(subset=\"pretty_formula\")\n", - "new_data.describe()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Next steps\n", - "The dataframe can then be featurized for representation to a machine learning algorithm, for example in Scikit-learn. Below is a code snippet from a [publicly avalable example](https://github.com/WMD-group/Solar_oxides_data) to demonstrate this using [the matminer package](https://github.com/hackingmaterials/matminer):\n", - "\n", - "``` python\n", - "\n", - "from matminer.featurizers.conversions import StrToComposition\n", - "from matminer.featurizers.base import MultipleFeaturizer\n", - "from matminer.featurizers import composition as cf\n", - "\n", - "# Use featurizers from matminer to featurize data\n", - "str_to_comp = StrToComposition(target_col_id='composition_obj')\n", - "str_to_comp.featurize_dataframe(new_data, col_id='pretty_formula')\n", - "\n", - "feature_calculators = MultipleFeaturizer([cf.Stoichiometry(), \n", - " cf.ElementProperty.from_preset(\"magpie\"),\n", - " cf.ValenceOrbital(props=['avg']), \n", - " cf.IonProperty(fast=True),\n", - " cf.BandCenter(), cf.AtomicOrbitals()])\n", - "\n", - "feature_labels = feature_calculators.feature_labels()\n", - "feature_calculators.featurize_dataframe(new_data, col_id='composition_obj');\n", - "\n", - "```" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "___" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "_D. W. Davies - 20th Feb 2019_" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3.8.13 ('smact_tests')", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.13" - }, - "vscode": { - "interpreter": { - "hash": "9f89bce96645c075fd87ba4308874c26726cf41cb3962e47a97b7697a60dd355" - } - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/Counting/Raw_combinations.ipynb b/examples/Counting/Raw_combinations.ipynb deleted file mode 100644 index e8560e3a..00000000 --- a/examples/Counting/Raw_combinations.ipynb +++ /dev/null @@ -1,224 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Generate raw combinations of elements or species \n", - "This notebook aims to demonstrate the sheer scale of the combinatorial explosion. Based on some assumtions about how many elements (103) or species - elements in oxidation states - (403) there are, it calculates how many binary, ternary, quaternary... combinations there can be, within different integers stoichiometry limits.\n", - "\n", - "this notebook contains **ZERO** chemistry. \n", - "\n", - "The numbers that are produced match roughly to the raw combinations (before chemical filters) numbers obtained in Table 1 of the publication [Computational Screeningf of All Stoichiometric Inorganic Materials](https://www.cell.com/chem/fulltext/S2451-9294(16)30155-3) (D. W. Davies et. al, Chem, 2016).\n", - "Small deviations from the numbers are due to changes in what we class as an \"accessible\" oxidation state for some elements.\n", - "\n", - "N.B. It can take a minute or two to calculate quaternaries on a desktop/laptop computer. " - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "# imports\n", - "import itertools\n", - "from fractions import gcd" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "In a search space of 403 elements:\n", - "\n", - "Number of unique combinations of 2 elements: 81003\n", - "Number of unique combinations of 3 elements: 10827401\n", - "Number of unique combinations of 4 elements: 1082740100\n", - "\n", - "Number of inequivalent binary ratios with max coefficient 2: \n", - "3\n", - "Number of inequivalent binary ratios with max coefficient 4: \n", - "11\n", - "Number of inequivalent binary ratios with max coefficient 6: \n", - "23\n", - "Number of inequivalent binary ratios with max coefficient 8: \n", - "43\n", - "Number of inequivalent ternary ratios with max coefficient 2: \n", - "7\n", - "Number of inequivalent ternary ratios with max coefficient 4: \n", - "55\n", - "Number of inequivalent ternary ratios with max coefficient 6: \n", - "177\n", - "Number of inequivalent ternary ratios with max coefficient 8: \n", - "433\n", - "Number of inequivalent quaternary ratios with max coefficient 2: \n", - "15\n", - "Number of inequivalent quaternary ratios with max coefficient 4: \n", - "239\n", - "Number of inequivalent quaternary ratios with max coefficient 6: \n", - "1175\n", - "Number of inequivalent quaternary ratios with max coefficient 8: \n", - "3781\n", - "\n", - "Unique binary compounds (no stability constraints) with max coefficient 4: \n", - "8.910e+05\n", - "Unique binary compounds (no stability constraints) with max coefficient 6: \n", - "1.863e+06\n", - "Unique binary compounds (no stability constraints) with max coefficient 8: \n", - "3.483e+06\n", - "Unique ternary compounds (no stability constraints) with max coefficient 4: \n", - "5.955e+08\n", - "Unique ternary compounds (no stability constraints) with max coefficient 6: \n", - "1.916e+09\n", - "Unique ternary compounds (no stability constraints) with max coefficient 8: \n", - "4.688e+09\n", - "Unique quaternary compounds (no stability constraints) with max coefficient 4: \n", - "2.588e+11\n", - "Unique quaternary compounds (no stability constraints) with max coefficient 6: \n", - "1.272e+12\n", - "Unique quaternary compounds (no stability constraints) with max coefficient 8: \n", - "4.094e+12\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/dan/anaconda3/lib/python3.6/site-packages/ipykernel_launcher.py:18: DeprecationWarning: fractions.gcd() is deprecated. Use math.gcd() instead.\n" - ] - } - ], - "source": [ - "# Functions\n", - "def sum_iter(iterator):\n", - " return sum(1 for _ in iterator)\n", - "\n", - "\n", - "def _gcd_recursive(*args):\n", - " \"\"\"\n", - " Get the greatest common denominator among any number of ints\n", - " \"\"\"\n", - " if len(args) == 2:\n", - " return gcd(*args)\n", - " else:\n", - " return gcd(args[0], _gcd_recursive(*args[1:]))\n", - "\n", - "\n", - "def _is_irreducible(stoichs):\n", - " for i in range(1, len(stoichs)):\n", - " if gcd(stoichs[i - 1], stoichs[i]) == 1:\n", - " return True\n", - " else:\n", - " return False\n", - "\n", - "\n", - "# MAIN\n", - "# >>> Set to 103 for combinations of elements <<<\n", - "# >>> or 403 for combinations of element in oxidation states <<<\n", - "search_space = 403\n", - "\n", - "\n", - "def main():\n", - " compound_names = {\n", - " 2: \"binary\",\n", - " 3: \"ternary\",\n", - " 4: \"quaternary\",\n", - " 5: \"quinternary\",\n", - " }\n", - "\n", - " print(f\"In a search space of {search_space} elements:\")\n", - " print(\"\")\n", - "\n", - " def count_combinations(n):\n", - " c = sum_iter(itertools.combinations(range(search_space), n))\n", - " print(f\"Number of unique combinations of {n} elements: {c}\")\n", - " return c\n", - "\n", - " combinations = {n: count_combinations(n) for n in range(2, 5)}\n", - "\n", - " print(\"\")\n", - "\n", - " # Count all the combinations of inequivalent ratios\n", - " # e.g. for ternaries up to x=2: (1,1,1), (1,1,2), (1,2,1),\n", - " # (1,2,2), (2,1,1), (2,1,2), (2,1,2)\n", - " def ineq_ratios_with_coeff(n_species, max_coeff):\n", - " print(\n", - " f\"Number of inequivalent {compound_names[n_species]} ratios with max coefficient {max_coeff}: \"\n", - " ),\n", - " n_ratios = sum_iter(\n", - " filter(\n", - " _is_irreducible, # Filter operation cuts equivalent\n", - " # stoichs e.g. accept (1,1), reject (2,2)\n", - " itertools.product(\n", - " *( # All stoich combinations, e.g.\n", - " # Product of (1,2), (1,2) is\n", - " # (1,1), (2,1), (2,1), (2,2)\n", - " #\n", - " n_species\n", - " * (tuple(range(1, max_coeff + 1)),)\n", - " # Multiply nested tuples to form\n", - " # initial set of possibilities\n", - " # (1,2,..), (1,2,..),...\n", - " )\n", - " ),\n", - " )\n", - " )\n", - "\n", - " print(f\"{n_ratios}\")\n", - " return n_ratios\n", - "\n", - " ratios = {\n", - " n: {x: ineq_ratios_with_coeff(n, x) for x in range(2, 9, 2)}\n", - " for n in range(2, 5)\n", - " }\n", - " print(\"\")\n", - "\n", - " def unique_compounds(n_species, max_coeff):\n", - " print(\n", - " \"Unique {} compounds (no stability constraints) with max coefficient {}: \".format(\n", - " compound_names[n_species], max_coeff\n", - " )\n", - " ),\n", - " n_compounds = combinations[n_species] * ratios[n_species][max_coeff]\n", - " print(f\"{n_compounds:5.3e}\")\n", - " return n_compounds\n", - "\n", - " compounds = {\n", - " n: {x: unique_compounds(n, x) for x in range(4, 9, 2)}\n", - " for n in range(2, 5)\n", - " }\n", - "\n", - "\n", - "if __name__ == \"__main__\":\n", - " main()" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.1" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/Crystal_Space/0_screening.ipynb b/examples/Crystal_Space/0_screening.ipynb deleted file mode 100644 index 92d9725b..00000000 --- a/examples/Crystal_Space/0_screening.ipynb +++ /dev/null @@ -1,210 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Exploring Chemical Space with SMACT and Materials Project Database" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "In this notebook, we undertake a comprehensive exploration of binary chemical compositions. This approach can also be extended to explore ternary and quaternary compositions. Our methodology involves two primary tools: the SMACT filter for generating compositions and the Materials Project database for additional data acquisition. \n", - "\n", - "The final phase will categorize the compositions into four distinct categories based on their properties. The categorization is based on whether a composition is allowed by the SMACT filter (smact_allowed) and whether it is present in the Materials Project database (mp). The categories are as follows:\n", - "\n", - "| smact_allowed | mp | label |\n", - "|---------------|------|------------|\n", - "| yes | yes | standard |\n", - "| yes | no | missing |\n", - "| no | yes | interesting|\n", - "| no | no | unlikely |" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 1. Generate compositions with the SMACT filter" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We begin by generating binary compositions using the SMACT filter. The SMACT filter serves as a chemical filter including oxidation states and electronegativity test.\n", - "\n", - "[`generate_composition_with_smact`](./generate_composition_with_smact.py) function generates a composition with the SMACT filter. The function takes in the following parameters:\n", - "\n", - "num_elements: number of elements in the composition\n", - "\n", - "max_stoich: maximum stoichiometry of each element\n", - "\n", - "max_atomic_num: maximum atomic number of each element\n", - "\n", - "num_processes: number of processes to run in parallel\n", - "\n", - "save_path: path to save the dataframe containing the compositions with the SMACT filter" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from generate_composition_with_smact import generate_composition_with_smact" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "df_smact = generate_composition_with_smact(\n", - " num_elements=2,\n", - " max_stoich=8,\n", - " max_atomic_num=103,\n", - " num_processes=8,\n", - " save_path=\"data/binary/df_binary_label.pkl\",\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# 2. Download data from the Materials Project database" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Next, we download data from the Materials Project database using the `MPRester` class from the [`pymatgen`](https://pymatgen.org/) library. \n", - "\n", - "[`download_mp_data`](./download_compounds_with_mp_api.py) function takes in the following parameters:\n", - "\n", - "mp_api_key: Materials Project API key\n", - "\n", - "num_elements: number of elements in the composition\n", - "\n", - "max_stoich: maximum stoichiometry of each element\n", - "\n", - "save_dir: path to save the downloaded data" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "mp_api_key = None # replace with your own MP API key" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from download_compounds_with_mp_api import download_mp_data\n", - "\n", - "# download data from MP for binary compounds\n", - "save_mp_dir = \"data/binary/mp_data\"\n", - "docs = download_mp_data(\n", - " mp_api_key=mp_api_key,\n", - " num_elements=2,\n", - " max_stoich=8,\n", - " save_dir=save_mp_dir,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## 3. Categorize compositions" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Finally, we categorize the compositions into four lables: standard, missing, interesting, and unlikely." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "from pathlib import Path\n", - "import pandas as pd" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "mp_data = {p.stem: True for p in Path(save_mp_dir).glob(\"*.json\")}\n", - "df_mp = pd.DataFrame.from_dict(mp_data, orient=\"index\", columns=[\"mp\"])" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# make category dataframe\n", - "df_category = df_smact.join(df_mp, how=\"left\").fillna(False)\n", - "# make label for each category\n", - "dict_label = {\n", - " (True, True): \"standard\",\n", - " (True, False): \"missing\",\n", - " (False, True): \"interesting\",\n", - " (False, False): \"unlikely\",\n", - "}\n", - "df_category[\"label\"] = df_category.apply(\n", - " lambda x: dict_label[(x[\"smact_allowed\"], x[\"mp\"])], axis=1\n", - ")\n", - "df_category[\"label\"].apply(dict_label.get)\n", - "\n", - "# count number of each label\n", - "print(df_category[\"label\"].value_counts())\n", - "\n", - "# save dataframe\n", - "df_category.to_pickle(\"data/binary/df_binary_category.pkl\")" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "smact", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.8.18" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/Dopant_Prediction/doper_example.ipynb b/examples/Dopant_Prediction/doper_example.ipynb deleted file mode 100644 index d8e7509a..00000000 --- a/examples/Dopant_Prediction/doper_example.ipynb +++ /dev/null @@ -1,462 +0,0 @@ -{ - "cells": [ - { - "attachments": {}, - "cell_type": "markdown", - "id": "dc3ab04f", - "metadata": {}, - "source": [ - "# Semiconductor dopant screening\n", - "\n", - "[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/WMD-group/SMACT/blob/develop/examples/Dopant_Prediction/doper_example.ipynb)" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "71bfdd77", - "metadata": {}, - "source": [ - "## Application to titanium dioxide" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "e9a6152fe962eb54", - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-07-10T12:47:23.890634Z", - "start_time": "2024-07-10T12:47:23.873630Z" - } - }, - "outputs": [], - "source": [ - "# Imports for colab\n", - "try:\n", - " import google.colab\n", - "\n", - " IN_COLAB = True\n", - "except:\n", - " IN_COLAB = False\n", - "\n", - "if IN_COLAB:\n", - " !pip install git+https://github.com/WMD-group/SMACT.git@develop --quiet" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "58e48522", - "metadata": { - "ExecuteTime": { - "end_time": "2024-07-10T12:47:23.922627Z", - "start_time": "2024-07-10T12:47:23.912635Z" - } - }, - "outputs": [], - "source": [ - "from smact.dopant_prediction.doper import Doper" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "0d722cf1", - "metadata": {}, - "source": [ - "The Doper module includes `get_dopants` function. These require an input (tuple(str)), which is formed by the ionic species of the material.\n", - "\n", - "By default, the top five p-type and n-type candidates are reported. Use `num_dopants` input to modify the number of outputs.\n", - "\n", - "The output format:\n", - "\n", - "(dict): Dopant suggestions, given as a dictionary with keys \"n_type_cation\", \"p_type_cation\", \"n_type_anion\", \"p_type_anion\".\n", - "\n", - "Each key contains a list of possible dopants in the order of probability (Highest --> Lowest).\n", - "\n", - "Each possible dopant is represented with tuple: ('substituted dopant', 'original specie', 'probability') " - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "193682c3", - "metadata": { - "ExecuteTime": { - "end_time": "2024-07-10T12:47:26.857982Z", - "start_time": "2024-07-10T12:47:23.929640Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": "{'n-type cation substitutions': {'sorted': [['Ta5+',\n 'Ti4+',\n 8.790371775858281e-05,\n 1.0],\n ['Nb5+', 'Ti4+', 7.830035204694342e-05, 1.0],\n ['Sb5+', 'Ti4+', 6.259166355036722e-05, 1.0],\n ['Ru5+', 'Ti4+', 4.904126561555437e-05, 1.0],\n ['Re5+', 'Ti4+', 4.546178573532138e-05, 1.0]],\n '5': [['Ta5+', 'Ti4+', 8.790371775858281e-05, 1.0],\n ['Nb5+', 'Ti4+', 7.830035204694342e-05, 1.0],\n ['Sb5+', 'Ti4+', 6.259166355036722e-05, 1.0],\n ['Ru5+', 'Ti4+', 4.904126561555437e-05, 1.0],\n ['Re5+', 'Ti4+', 4.546178573532138e-05, 1.0]],\n '6': [['W6+', 'Ti4+', 3.4638026110457894e-05, 1.0],\n ['Mo6+', 'Ti4+', 1.6924395455176864e-05, 1.0],\n ['Te6+', 'Ti4+', 1.4299724897106019e-05, 1.0],\n ['U6+', 'Ti4+', 1.4299724897106019e-05, 1.0],\n ['Ir6+', 'Ti4+', 4.061295856299769e-06, 1.0]]},\n 'p-type cation substitutions': {'sorted': [['Na1+',\n 'Ti4+',\n 0.00010060400812977031,\n 1.0],\n ['Zn2+', 'Ti4+', 8.56373996146833e-05, 1.0],\n ['Mn2+', 'Ti4+', 8.563568688381837e-05, 1.0],\n ['Mg2+', 'Ti4+', 6.777016806765154e-05, 1.0],\n ['Fe3+', 'Ti4+', 6.259479321178562e-05, 1.0]],\n '1': [['Na1+', 'Ti4+', 0.00010060400812977031, 1.0],\n ['Li1+', 'Ti4+', 4.90559802023167e-05, 1.0],\n ['Cs1+', 'Ti4+', 4.7198027389186586e-05, 1.0],\n ['K1+', 'Ti4+', 4.3838924025131085e-05, 1.0],\n ['Rb1+', 'Ti4+', 3.3349844147628834e-05, 1.0]],\n '2': [['Zn2+', 'Ti4+', 8.56373996146833e-05, 1.0],\n ['Mn2+', 'Ti4+', 8.563568688381837e-05, 1.0],\n ['Mg2+', 'Ti4+', 6.777016806765154e-05, 1.0],\n ['Ca2+', 'Ti4+', 5.5340892351269824e-05, 1.0],\n ['Ni2+', 'Ti4+', 5.534033894511336e-05, 1.0]],\n '3': [['Fe3+', 'Ti4+', 6.259479321178562e-05, 1.0],\n ['V3+', 'Ti4+', 5.312098771970144e-05, 1.0],\n ['Cr3+', 'Ti4+', 4.234338028148513e-05, 1.0],\n ['Mn3+', 'Ti4+', 3.7092622638148224e-05, 1.0],\n ['Ga3+', 'Ti4+', 3.0368749390927986e-05, 1.0]]},\n 'n-type anion substitutions': {'sorted': [['F1-',\n 'O2-',\n 0.01508116810515677,\n 1.0],\n ['Cl1-', 'O2-', 0.004737202729901607, 1.0],\n ['Br1-', 'O2-', 0.0010829911758767157, 1.0],\n ['I1-', 'O2-', 0.0007848025041948803, 1.0]],\n '-1': [['F1-', 'O2-', 0.01508116810515677, 1.0],\n ['Cl1-', 'O2-', 0.004737202729901607, 1.0],\n ['Br1-', 'O2-', 0.0010829911758767157, 1.0],\n ['I1-', 'O2-', 0.0007848025041948803, 1.0]]},\n 'p-type anion substitutions': {'sorted': [['N3-',\n 'O2-',\n 0.0014663800608945628,\n 1.0]],\n '-3': [['N3-', 'O2-', 0.0014663800608945628, 1.0]]}}" - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "material = Doper((\"Ti4+\", \"O2-\"))\n", - "\n", - "# 5 possible dopants\n", - "material.get_dopants(5)" - ] - }, - { - "cell_type": "markdown", - "id": "a8981931c712eb35", - "metadata": { - "collapsed": false - }, - "source": [ - "The results can be presented in a table format using the `to_table` attribute." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "85b73f0fbcedbcf9", - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-07-10T12:47:26.889530Z", - "start_time": "2024-07-10T12:47:26.863518Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\u001b[91mn-type cation substitutions\u001b[0m\n", - "\u001b[96msorted\u001b[0m\n", - "+--------+----------+--------+---------------+---------------+\n", - "| Rank | Dopant | Host | Probability | Selectivity |\n", - "+========+==========+========+===============+===============+\n", - "| 1 | Ta5+ | Ti4+ | 8.79037e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 2 | Nb5+ | Ti4+ | 7.83004e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 3 | Sb5+ | Ti4+ | 6.25917e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 4 | Ru5+ | Ti4+ | 4.90413e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 5 | Re5+ | Ti4+ | 4.54618e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "\n", - "\u001b[96m5+\u001b[0m\n", - "+--------+----------+--------+---------------+---------------+\n", - "| Rank | Dopant | Host | Probability | Selectivity |\n", - "+========+==========+========+===============+===============+\n", - "| 1 | Ta5+ | Ti4+ | 8.79037e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 2 | Nb5+ | Ti4+ | 7.83004e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 3 | Sb5+ | Ti4+ | 6.25917e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 4 | Ru5+ | Ti4+ | 4.90413e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 5 | Re5+ | Ti4+ | 4.54618e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "\n", - "\u001b[96m6+\u001b[0m\n", - "+--------+----------+--------+---------------+---------------+\n", - "| Rank | Dopant | Host | Probability | Selectivity |\n", - "+========+==========+========+===============+===============+\n", - "| 1 | W6+ | Ti4+ | 3.4638e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 2 | Mo6+ | Ti4+ | 1.69244e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 3 | Te6+ | Ti4+ | 1.42997e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 4 | U6+ | Ti4+ | 1.42997e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 5 | Ir6+ | Ti4+ | 4.0613e-06 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "\n", - "\u001b[91mp-type cation substitutions\u001b[0m\n", - "\u001b[96msorted\u001b[0m\n", - "+--------+----------+--------+---------------+---------------+\n", - "| Rank | Dopant | Host | Probability | Selectivity |\n", - "+========+==========+========+===============+===============+\n", - "| 1 | Na1+ | Ti4+ | 0.000100604 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 2 | Zn2+ | Ti4+ | 8.56374e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 3 | Mn2+ | Ti4+ | 8.56357e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 4 | Mg2+ | Ti4+ | 6.77702e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 5 | Fe3+ | Ti4+ | 6.25948e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "\n", - "\u001b[96m1+\u001b[0m\n", - "+--------+----------+--------+---------------+---------------+\n", - "| Rank | Dopant | Host | Probability | Selectivity |\n", - "+========+==========+========+===============+===============+\n", - "| 1 | Na1+ | Ti4+ | 0.000100604 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 2 | Li1+ | Ti4+ | 4.9056e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 3 | Cs1+ | Ti4+ | 4.7198e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 4 | K1+ | Ti4+ | 4.38389e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 5 | Rb1+ | Ti4+ | 3.33498e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "\n", - "\u001b[96m2+\u001b[0m\n", - "+--------+----------+--------+---------------+---------------+\n", - "| Rank | Dopant | Host | Probability | Selectivity |\n", - "+========+==========+========+===============+===============+\n", - "| 1 | Zn2+ | Ti4+ | 8.56374e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 2 | Mn2+ | Ti4+ | 8.56357e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 3 | Mg2+ | Ti4+ | 6.77702e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 4 | Ca2+ | Ti4+ | 5.53409e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 5 | Ni2+ | Ti4+ | 5.53403e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "\n", - "\u001b[96m3+\u001b[0m\n", - "+--------+----------+--------+---------------+---------------+\n", - "| Rank | Dopant | Host | Probability | Selectivity |\n", - "+========+==========+========+===============+===============+\n", - "| 1 | Fe3+ | Ti4+ | 6.25948e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 2 | V3+ | Ti4+ | 5.3121e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 3 | Cr3+ | Ti4+ | 4.23434e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 4 | Mn3+ | Ti4+ | 3.70926e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 5 | Ga3+ | Ti4+ | 3.03687e-05 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "\n", - "\u001b[91mn-type anion substitutions\u001b[0m\n", - "\u001b[96msorted\u001b[0m\n", - "+--------+----------+--------+---------------+---------------+\n", - "| Rank | Dopant | Host | Probability | Selectivity |\n", - "+========+==========+========+===============+===============+\n", - "| 1 | F1- | O2- | 0.0150812 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 2 | Cl1- | O2- | 0.0047372 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 3 | Br1- | O2- | 0.00108299 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 4 | I1- | O2- | 0.000784803 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "\n", - "\u001b[96m1-\u001b[0m\n", - "+--------+----------+--------+---------------+---------------+\n", - "| Rank | Dopant | Host | Probability | Selectivity |\n", - "+========+==========+========+===============+===============+\n", - "| 1 | F1- | O2- | 0.0150812 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 2 | Cl1- | O2- | 0.0047372 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 3 | Br1- | O2- | 0.00108299 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "| 4 | I1- | O2- | 0.000784803 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "\n", - "\u001b[91mp-type anion substitutions\u001b[0m\n", - "\u001b[96msorted\u001b[0m\n", - "+--------+----------+--------+---------------+---------------+\n", - "| Rank | Dopant | Host | Probability | Selectivity |\n", - "+========+==========+========+===============+===============+\n", - "| 1 | N3- | O2- | 0.00146638 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n", - "\n", - "\u001b[96m3-\u001b[0m\n", - "+--------+----------+--------+---------------+---------------+\n", - "| Rank | Dopant | Host | Probability | Selectivity |\n", - "+========+==========+========+===============+===============+\n", - "| 1 | N3- | O2- | 0.00146638 | 1 |\n", - "+--------+----------+--------+---------------+---------------+\n" - ] - } - ], - "source": [ - "material.to_table" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "11ec5825", - "metadata": {}, - "source": [ - "Ternary and multicomponent systems can also be tested." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "df5a5dbb", - "metadata": { - "ExecuteTime": { - "end_time": "2024-07-10T12:47:29.779856Z", - "start_time": "2024-07-10T12:47:26.893523Z" - } - }, - "outputs": [ - { - "data": { - "text/plain": "{'n-type cation substitutions': {'sorted': [['Si4+',\n 'Zn2+',\n 0.0002388228584563032,\n 0.21],\n ['Zn2+', 'Cu1+', 0.00021454984717151132, 0.14],\n ['Hg2+', 'Cu1+', 0.00020520758963053147, 0.55],\n ['Ge4+', 'Zn2+', 0.0001751936790055855, 0.1],\n ['P5+', 'Ge4+', 0.0001357428244856664, 0.69]],\n '2': [['Zn2+', 'Cu1+', 0.00021454984717151132, 0.14],\n ['Hg2+', 'Cu1+', 0.00020520758963053147, 0.55],\n ['Cu2+', 'Cu1+', 9.006774407383325e-05, 0.2],\n ['Mn2+', 'Cu1+', 3.960170207846625e-05, 0.09],\n ['Fe2+', 'Cu1+', 3.333914056567426e-05, 0.1]],\n '3': [['Y3+', 'Zn2+', 0.00010200196717382551, 0.95],\n ['Fe3+', 'Zn2+', 7.56685107087228e-05, 0.66],\n ['In3+', 'Cu1+', 5.763684879119039e-05, 0.51],\n ['Cr3+', 'Zn2+', 5.312098771970144e-05, 0.76],\n ['Al3+', 'Zn2+', 5.105799273313971e-05, 0.37]],\n '4': [['Si4+', 'Zn2+', 0.0002388228584563032, 0.21],\n ['Ge4+', 'Zn2+', 0.0001751936790055855, 0.1],\n ['Ti4+', 'Zn2+', 8.56373996146833e-05, 0.54],\n ['Sn4+', 'Zn2+', 5.105186614161457e-05, 0.26],\n ['Zr4+', 'Zn2+', 3.7100190305042186e-05, 0.54]],\n '5': [['P5+', 'Ge4+', 0.0001357428244856664, 0.69],\n ['As5+', 'Ge4+', 0.0001130264767870107, 0.79],\n ['Re5+', 'Zn2+', 0.00010331288468842097, 0.97],\n ['Ru5+', 'Zn2+', 5.104625074519147e-05, 0.9],\n ['V5+', 'Ge4+', 4.7213605308440324e-05, 0.79]],\n '6': [['W6+', 'Zn2+', 0.00011303551926684799, 0.89],\n ['Mo6+', 'Zn2+', 0.00010937934822813194, 0.83],\n ['Cr6+', 'Zn2+', 9.007494978158361e-05, 0.84],\n ['Se6+', 'Zn2+', 4.093527247604727e-05, 0.91],\n ['S6+', 'Zn2+', 3.960130606342555e-05, 0.82]],\n '7': [['I7+', 'Zn2+', 2.213840978155442e-05, 0.57],\n ['I7+', 'Ge4+', 1.6924395455176864e-05, 0.43],\n ['Re7+', 'Zn2+', 1.1726076225980498e-05, 0.68],\n ['Ru7+', 'Zn2+', 5.515465741620002e-06, 0.97],\n ['Re7+', 'Ge4+', 5.513899571756029e-06, 0.32]]},\n 'p-type cation substitutions': {'sorted': [['Na1+',\n 'Zn2+',\n 0.00025743109681607455,\n 0.79],\n ['Cu1+', 'Zn2+', 0.00021454984717151132, 0.06],\n ['Zn2+', 'Ge4+', 0.0001751936790055855, 0.11],\n ['K1+', 'Zn2+', 0.0001201669587993145, 0.86],\n ['Cd2+', 'Ge4+', 0.0001186113401908585, 0.25]],\n '1': [['Na1+', 'Zn2+', 0.00025743109681607455, 0.79],\n ['Cu1+', 'Zn2+', 0.00021454984717151132, 0.06],\n ['K1+', 'Zn2+', 0.0001201669587993145, 0.86],\n ['Li1+', 'Zn2+', 0.00011056151900498101, 0.39],\n ['Li1+', 'Ge4+', 0.00010060300209471921, 0.35]],\n '2': [['Zn2+', 'Ge4+', 0.0001751936790055855, 0.11],\n ['Cd2+', 'Ge4+', 0.0001186113401908585, 0.25],\n ['Co2+', 'Ge4+', 0.00011180229621616318, 0.22],\n ['Cu2+', 'Ge4+', 0.00010059797207036612, 0.23],\n ['Be2+', 'Ge4+', 9.754093139774343e-05, 0.68]],\n '3': [['Al3+', 'Ge4+', 4.905401800235286e-05, 0.35],\n ['Ga3+', 'Ge4+', 3.9596158228253835e-05, 0.37],\n ['Fe3+', 'Ge4+', 3.835796118569564e-05, 0.34],\n ['Bi3+', 'Ge4+', 2.2136882283978765e-05, 0.44],\n ['Cr3+', 'Ge4+', 1.6924395455176864e-05, 0.24]]},\n 'n-type anion substitutions': {'sorted': [['Cl1-',\n 'S2-',\n 0.000708721114826238,\n 1.0],\n ['Br1-', 'S2-', 0.00037892265173268845, 1.0],\n ['I1-', 'S2-', 0.0003595495863623017, 1.0],\n ['F1-', 'S2-', 0.00021217514709258802, 1.0]],\n '-1': [['Cl1-', 'S2-', 0.000708721114826238, 1.0],\n ['Br1-', 'S2-', 0.00037892265173268845, 1.0],\n ['I1-', 'S2-', 0.0003595495863623017, 1.0],\n ['F1-', 'S2-', 0.00021217514709258802, 1.0]]},\n 'p-type anion substitutions': {'sorted': [['N3-',\n 'S2-',\n 0.0007862635952461277,\n 1.0]],\n '-3': [['N3-', 'S2-', 0.0007862635952461277, 1.0]]}}" - }, - "execution_count": 12, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "quaternary = Doper((\"Cu1+\", \"Zn2+\", \"Ge4+\", \"S2-\"))\n", - "quaternary.get_dopants()" - ] - }, - { - "attachments": {}, - "cell_type": "markdown", - "id": "f2524a92", - "metadata": {}, - "source": [ - "If you want to plot the results in the form of heatmap, use `plot_dopants` method.\n", - "\n", - "Default color scheme of the heatmap is 'YlOrRd'. Refer to the matplotlib documentation for other options using \"cmap\" parameter" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "dc29d078", - "metadata": { - "ExecuteTime": { - "end_time": "2024-07-10T12:47:32.311541Z", - "start_time": "2024-07-10T12:47:29.785864Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "You're using a deprecated version of periodic_table_heatmap(). Consider `pip install pymatviz` which offers an interactive plotly periodic table heatmap. You can keep calling this same function from pymatgen. Some of the arguments have changed which you'll be warned about. To disable this warning, pass pymatviz=False.\n", - "You're using a deprecated version of periodic_table_heatmap(). Consider `pip install pymatviz` which offers an interactive plotly periodic table heatmap. You can keep calling this same function from pymatgen. Some of the arguments have changed which you'll be warned about. To disable this warning, pass pymatviz=False.\n", - "You're using a deprecated version of periodic_table_heatmap(). Consider `pip install pymatviz` which offers an interactive plotly periodic table heatmap. You can keep calling this same function from pymatgen. Some of the arguments have changed which you'll be warned about. To disable this warning, pass pymatviz=False.\n", - "You're using a deprecated version of periodic_table_heatmap(). Consider `pip install pymatviz` which offers an interactive plotly periodic table heatmap. You can keep calling this same function from pymatgen. Some of the arguments have changed which you'll be warned about. To disable this warning, pass pymatviz=False.\n" - ] - }, - { - "data": { - "text/plain": "
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" 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" 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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "quaternary.plot_dopants(cmap=\"Reds\")" - ] - }, - { - "cell_type": "markdown", - "id": "97bc99c142543c4a", - "metadata": { - "collapsed": false - }, - "source": [ - "## Alternative metrics\n", - "\n", - "The probability values for the dopants are calculated based on the algorithm presented in:\n", - " [Hautier, G., Fischer, C., Ehrlacher, V., Jain, A., and Ceder, G. (2011)\n", - " Data Mined Ionic Substitutions for the Discovery of New Compounds.\n", - " Inorganic Chemistry, 50(2), 656-663](https://pubs.acs.org/doi/10.1021/ic102031h)\n", - " \n", - "In SMACT, we can also provide alternative ways for determing the possible dopants based on alternative probability or similarity metrics.\n", - "\n", - "For example, we have a similarity metric based on distributed representations of the ions, which we call `skipspecies`. This metric is based on the idea that similar ions should have similar embeddings. The similarity is calculated based on the cosine similarity of the embeddings of the ions." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f9d9781a", - "metadata": { - "is_executing": true, - "ExecuteTime": { - "start_time": "2024-07-10T12:47:32.316534Z" - } - }, - "outputs": [], - "source": [ - "doper_skipspecies = Doper(\n", - " (\"Ti4+\", \"O2-\"), embedding=\"skipspecies\", use_probability=False\n", - ")\n", - "doper_skipspecies.get_dopants(5)\n", - "# Present results in a table\n", - "doper_skipspecies.to_table" - ] - }, - { - "cell_type": "markdown", - "id": "df4ed5ade4ff40c5", - "metadata": { - "collapsed": false - }, - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "venv", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.9.7" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/examples/Inverse_perovskites/Inverse_formate_perovskites.ipynb b/examples/Inverse_perovskites/Inverse_formate_perovskites.ipynb deleted file mode 100644 index 465a5f44..00000000 --- a/examples/Inverse_perovskites/Inverse_formate_perovskites.ipynb +++ /dev/null @@ -1,565 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Formate perovskites\n", - "\n", - "Perovskites are an important class of inorganic materials, particularly for solar energy applications.\n", - "Usually, the perovskite structure contains an A cation, a B cation and an C anion in the ratio 1:1:3 (black, blue and red in the figure below, respectively, [see wikipeidia for more information](https://en.wikipedia.org/wiki/Perovskite_(structure)).\n", - "\n", - "\n", - "\n", - "\n", - "Here we search for charge inverted perovskites, i.e. with an anion on the A site. This class of material is closely related to perovskites, and may represent another fruitful search space for new photovoltaic materials. \n", - "\n", - "In this example we assume a simple [formate moelcule](https://en.wikipedia.org/wiki/Formate) as the C-site and uses [Goldschmidt ratio rules](https://en.wikipedia.org/wiki/Goldschmidt_tolerance_factor) as part of the screening.\n", - "These rules allow us to estimate whether or not a perovskite structure is likely to form based on data about ionic size alone. The tolerance factor is defined as a ratio of the radii of the A, B and C species\n", - "\n", - "\n", - "\\begin{equation*}\n", - "t = \\frac{r^A + r^C}{\\sqrt{2}(r^B + r^C)} ,\n", - "\\end{equation*}\n", - "\n", - "Values of t > 1 imply a relatively large A site favoring a hexagonal structure, 0.9 < t < 1 predicts a cubic structure, and 0.7 < t < 0.9 means that the A site is small, preferring an orthorhombic structure. For t < 0.7, other (non-perovskite) structures are predicted.\n", - "\n", - "We also apply the standard charge neutrality and electronegativity tests as described [in the docs](https://smact.readthedocs.io/en/latest/examples.html#neutral-combinations).\n", - "\n", - "\n", - "We outline 2 approaches for achieveing the same result:\n", - "\n", - "1. The methodology is written out explicitly for transparency, including accessing the `smact` data directory directly and storing element and species information as simple lists of strings, ints and floats.\n", - "\n", - "2. Fewer lines of code are used, making use of inbuilt `smact` functions. Element and species information is stored directly as Element and Species objects." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "### IMPORTS ###\n", - "get_ipython().magic(\"matplotlib inline\") # plots appear in the notebook\n", - "import copy\n", - "import csv\n", - "import os\n", - "from itertools import product\n", - "\n", - "import matplotlib\n", - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "\n", - "import smact\n", - "import smact.lattice as lattice\n", - "import smact.screening as screening\n", - "from smact import Element, Species, data_directory" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "First we define the positions of the 3 sites in the perovskite structure and specify the allowed oxidation states at each site. Note that the A site is defined as an anion (i.e. with a -1 oxidation state)." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "site_A = lattice.Site([0, 0, 0], [-1])\n", - "site_B = lattice.Site([0.5, 0.5, 0.5], [+5, +4])\n", - "site_C = lattice.Site([0.5, 0.5, 0.5], [-2, -1])\n", - "perovskite = lattice.Lattice([site_A, site_B, site_C], space_group=221)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "___\n", - "### Approach 1" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We now search through the elements of interest (Li-Fr) and find those that are allowed on each site. In this example, we use the F- anion with an increased Shannon radius to simulate the formate anion. We access the Shannon radii data directly from the smact data directory and are interested in the octahedral (6_n) Shannon radius. " - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "search = smact.ordered_elements(3, 87) # Li - Fr\n", - "\n", - "A_list = [] # will be populated with anions\n", - "B_list = [] # will be populated with cations\n", - "C_list = [[\"F\", -1, 4.47]] # is always the \"formate anion\"\n", - "for element in search:\n", - " with open(os.path.join(data_directory, \"shannon_radii.csv\")) as f:\n", - " reader = csv.reader(f)\n", - " r_shannon = False\n", - " for row in reader:\n", - " if (\n", - " row[2] == \"6_n\"\n", - " and row[0] == element\n", - " and int(row[1]) in site_A.oxidation_states\n", - " ):\n", - " A_list.append([row[0], int(row[1]), float(row[4])])\n", - " if (\n", - " row[2] == \"6_n\"\n", - " and row[0] == element\n", - " and int(row[1]) in site_B.oxidation_states\n", - " ):\n", - " B_list.append([row[0], int(row[1]), float(row[4])])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "*NB: We access the data directly from the data directory file here for transparency. However, reading the file multiple times would slow down the code if we were looping over many (perhaps millions to billions) of compositions. As such, reading all the data in once into a dictionary, then accessing that dictionary from within a loop, could be preferable, e.g.:*\n", - "``` python\n", - "for element in search:\n", - " ...\n", - " r_shannon = shannon_radii[element][coordination]\n", - " ...\n", - "```" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We go through and apply the electronegativity order test (pauling_test) to each combo. Then, we use Goldschmidt tolernace factor to group into crystal structure types." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [], - "source": [ - "# We define the different categories of list we will populate\n", - "charge_balanced = []\n", - "goldschmidt_cubic = []\n", - "goldschmidt_ortho = []\n", - "a_too_large = []\n", - "A_B_similar = []\n", - "pauling_perov = []\n", - "anion_stats = []\n", - "\n", - "# We recursively search all ABC combinations using nested for loops\n", - "for C in C_list:\n", - " anion_hex = 0\n", - " anion_cub = 0\n", - " anion_ort = 0\n", - " for B in B_list:\n", - " for A in A_list:\n", - " # We check that we have 3 different elements\n", - " if B[0] != A[0]:\n", - " # Check for charge neutrality\n", - " if int(A[1]) + int(B[1]) + 3 * int(C[1]) == 0:\n", - " charge_balanced.append([A[0], B[0], C[0]])\n", - " # We apply the pauling electronegativity test\n", - " paul_a = smact.Element(A[0]).pauling_eneg\n", - " paul_b = smact.Element(B[0]).pauling_eneg\n", - " paul_c = smact.Element(C[0]).pauling_eneg\n", - " electroneg_makes_sense = screening.pauling_test(\n", - " [A[1], B[1], C[1]], [paul_a, paul_b, paul_c]\n", - " )\n", - " if electroneg_makes_sense:\n", - " pauling_perov.append([A[0], B[0], C[0]])\n", - " # We calculate the Goldschmidt tolerance factor\n", - " tol = (float(A[2]) + C[2]) / (\n", - " np.sqrt(2) * (float(B[2]) + C[2])\n", - " )\n", - " if tol > 1.0:\n", - " a_too_large.append([A[0], B[0], C[0]])\n", - " anion_hex = anion_hex + 1\n", - " if tol > 0.9 and tol <= 1.0:\n", - " goldschmidt_cubic.append([A[0], B[0], C[0]])\n", - " anion_cub = anion_cub + 1\n", - " if tol >= 0.71 and tol < 0.9:\n", - " goldschmidt_ortho.append([A[0], B[0], C[0]])\n", - " anion_ort = anion_ort + 1\n", - " if tol < 0.71:\n", - " A_B_similar.append([A[0], B[0], C[0]])\n", - "anion_stats.append([anion_hex, anion_cub, anion_ort])" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[[1, 40, 91]]\n", - "Number of possible charge neutral perovskites from Li to Fr = 132\n", - "Number of Pauling senseibe perovskites from Li to Fr = 132\n", - "Number of possible cubic perovskites from Li to Fr = 40\n", - "Number of possible ortho perovskites from Li to Fr = 91\n", - "Number of possible hexagonal perovskites from Li to Fr = 1\n", - "Number of possible non-perovskites from Li to Fr = 0\n", - "----------------------------------------------------------------\n", - "Structures identified with cubic tolerance factor 0.9 < t < 1.0 \n", - "----------------------------------------------------------------\n", - "Cl C (HCOO)3\n", - "Br C (HCOO)3\n", - "Cl Si (HCOO)3\n", - "Br Si (HCOO)3\n", - "I Si (HCOO)3\n", - "Cl S (HCOO)3\n", - "Br S (HCOO)3\n", - "I S (HCOO)3\n", - "I Ti (HCOO)3\n", - "Br V (HCOO)3\n", - "I V (HCOO)3\n", - "Br Cr (HCOO)3\n", - "I Cr (HCOO)3\n", - "Br Mn (HCOO)3\n", - "I Mn (HCOO)3\n", - "I Fe (HCOO)3\n", - "Br Co (HCOO)3\n", - "I Co (HCOO)3\n", - "Br Ni (HCOO)3\n", - "I Ni (HCOO)3\n", - "Br Ge (HCOO)3\n", - "I Ge (HCOO)3\n", - "Br Se (HCOO)3\n", - "I Se (HCOO)3\n", - "I Zr (HCOO)3\n", - "I Nb (HCOO)3\n", - "I Mo (HCOO)3\n", - "I Tc (HCOO)3\n", - "I Ru (HCOO)3\n", - "I Rh (HCOO)3\n", - "I Pd (HCOO)3\n", - "I Sn (HCOO)3\n", - "I Tb (HCOO)3\n", - "I Hf (HCOO)3\n", - "I Ta (HCOO)3\n", - "I W (HCOO)3\n", - "I Re (HCOO)3\n", - "I Os (HCOO)3\n", - "I Ir (HCOO)3\n", - "I Pt (HCOO)3\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "print(anion_stats)\n", - "colours = [\"#991D1D\", \"#8D6608\", \"#857070\"]\n", - "matplotlib.rcParams.update({\"font.size\": 22})\n", - "plt.pie(\n", - " anion_stats[0],\n", - " labels=[\"Hex\", \"Cubic\", \"Ortho\"],\n", - " startangle=90,\n", - " autopct=\"%1.1f%%\",\n", - " colors=colours,\n", - ")\n", - "plt.axis(\"equal\")\n", - "plt.savefig(\"Form-perovskites.png\")\n", - "\n", - "print(\n", - " \"Number of possible charge neutral perovskites from\",\n", - " search[0],\n", - " \"to\",\n", - " search[len(search) - 1],\n", - " \"=\",\n", - " len(charge_balanced),\n", - ")\n", - "print(\n", - " \"Number of Pauling sensible perovskites from\",\n", - " search[0],\n", - " \"to\",\n", - " search[len(search) - 1],\n", - " \"=\",\n", - " len(pauling_perov),\n", - ")\n", - "print(\n", - " \"Number of possible cubic perovskites from\",\n", - " search[0],\n", - " \"to\",\n", - " search[len(search) - 1],\n", - " \"=\",\n", - " len(goldschmidt_cubic),\n", - ")\n", - "print(\n", - " \"Number of possible ortho perovskites from\",\n", - " search[0],\n", - " \"to\",\n", - " search[len(search) - 1],\n", - " \"=\",\n", - " len(goldschmidt_ortho),\n", - ")\n", - "print(\n", - " \"Number of possible hexagonal perovskites from\",\n", - " search[0],\n", - " \"to\",\n", - " search[len(search) - 1],\n", - " \"=\",\n", - " len(a_too_large),\n", - ")\n", - "print(\n", - " \"Number of possible non-perovskites from\",\n", - " search[0],\n", - " \"to\",\n", - " search[len(search) - 1],\n", - " \"=\",\n", - " len(A_B_similar),\n", - ")\n", - "\n", - "\n", - "# print goldschmidt_cubic\n", - "print(\"----------------------------------------------------------------\")\n", - "print(\"Structures identified with cubic tolerance factor 0.9 < t < 1.0 \")\n", - "print(\"----------------------------------------------------------------\")\n", - "for structure in goldschmidt_cubic:\n", - " print(structure[0], structure[1], \"(HCOO)3\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "___\n", - "### Approach 2" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "# Get list of Element objects\n", - "search = [\n", - " el for el in smact.ordered_elements(3, 87) if Element(el).oxidation_states\n", - "]\n", - "\n", - "# Covert to list of Species objects\n", - "all_species = []\n", - "for el in search:\n", - " for oxi_state in Element(el).oxidation_states:\n", - " all_species.append(Species(el, oxi_state, \"6_n\"))\n", - "\n", - "# Define lists of interest\n", - "A_list = [\n", - " sp for sp in all_species if (sp.oxidation == -1) and (sp.ionic_radius)\n", - "]\n", - "B_list = [\n", - " sp for sp in all_species if (4 <= sp.oxidation <= 5) and (sp.ionic_radius)\n", - "]\n", - "C_list = [Species(\"F\", -1, 4.47)]" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "# We define the different categories of list we will populate\n", - "charge_balanced = []\n", - "goldschmidt_cubic = []\n", - "goldschmidt_ortho = []\n", - "a_too_large = []\n", - "A_B_similar = []\n", - "pauling_perov = []\n", - "anion_stats = []\n", - "\n", - "for combo in product(A_list, B_list, C_list):\n", - " A, B, C = combo[0], combo[1], combo[2]\n", - " # Check for charge neutrality in 1:1:3 ratio\n", - " if (1, 1, 3) in screening.neutral_ratios(\n", - " [A.oxidation, B.oxidation, C.oxidation]\n", - " )[1]:\n", - " charge_balanced.append(combo)\n", - " # Check for pauling test\n", - " if screening.pauling_test(\n", - " [A.oxidation, B.oxidation, C.oxidation],\n", - " [A.pauling_eneg, B.pauling_eneg, C.pauling_eneg],\n", - " ):\n", - " pauling_perov.append(combo)\n", - " # Calculate tolerance factor\n", - " tol = (float(A.ionic_radius) + 4.47) / (\n", - " np.sqrt(2) * (float(B.ionic_radius) + 4.47)\n", - " )\n", - " if tol > 1.0:\n", - " a_too_large.append(combo)\n", - " if tol > 0.9 and tol <= 1.0:\n", - " goldschmidt_cubic.append([combo])\n", - " if tol >= 0.71 and tol < 0.9:\n", - " goldschmidt_ortho.append(combo)\n", - " if tol < 0.71:\n", - " A_B_similar.append(combo)" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Number of possible charge neutral perovskites from Li to Fr = 132\n", - "Number of Pauling senseibe perovskites from Li to Fr = 132\n", - "Number of possible cubic perovskites from Li to Fr = 40\n", - "Number of possible ortho perovskites from Li to Fr = 91\n", - "Number of possible hexagonal perovskites from Li to Fr = 1\n", - "Number of possible non-perovskites from Li to Fr = 0\n", - "----------------------------------------------------------------\n", - "Structures identified with cubic tolerance factor 0.9 < t < 1.0 \n", - "----------------------------------------------------------------\n", - "Cl C (HCOO)3\n", - "Cl Si (HCOO)3\n", - "Cl S (HCOO)3\n", - "Br C (HCOO)3\n", - "Br Si (HCOO)3\n", - "Br S (HCOO)3\n", - "Br V (HCOO)3\n", - "Br Cr (HCOO)3\n", - "Br Mn (HCOO)3\n", - "Br Co (HCOO)3\n", - "Br Ni (HCOO)3\n", - "Br Ge (HCOO)3\n", - "Br Se (HCOO)3\n", - "I Si (HCOO)3\n", - "I S (HCOO)3\n", - "I Ti (HCOO)3\n", - "I V (HCOO)3\n", - "I Cr (HCOO)3\n", - "I Mn (HCOO)3\n", - "I Fe (HCOO)3\n", - "I Co (HCOO)3\n", - "I Ni (HCOO)3\n", - "I Ge (HCOO)3\n", - "I Se (HCOO)3\n", - "I Zr (HCOO)3\n", - "I Nb (HCOO)3\n", - "I Mo (HCOO)3\n", - "I Tc (HCOO)3\n", - "I Ru (HCOO)3\n", - "I Rh (HCOO)3\n", - "I Pd (HCOO)3\n", - "I Sn (HCOO)3\n", - "I Tb (HCOO)3\n", - "I Hf (HCOO)3\n", - "I Ta (HCOO)3\n", - "I W (HCOO)3\n", - "I Re (HCOO)3\n", - "I Os (HCOO)3\n", - "I Ir (HCOO)3\n", - "I Pt (HCOO)3\n" - ] - } - ], - "source": [ - "print(\n", - " \"Number of possible charge neutral perovskites from\",\n", - " search[0],\n", - " \"to\",\n", - " search[len(search) - 1],\n", - " \"=\",\n", - " len(charge_balanced),\n", - ")\n", - "print(\n", - " \"Number of Pauling sensible perovskites from\",\n", - " search[0],\n", - " \"to\",\n", - " search[len(search) - 1],\n", - " \"=\",\n", - " len(pauling_perov),\n", - ")\n", - "print(\n", - " \"Number of possible cubic perovskites from\",\n", - " search[0],\n", - " \"to\",\n", - " search[len(search) - 1],\n", - " \"=\",\n", - " len(goldschmidt_cubic),\n", - ")\n", - "print(\n", - " \"Number of possible ortho perovskites from\",\n", - " search[0],\n", - " \"to\",\n", - " search[len(search) - 1],\n", - " \"=\",\n", - " len(goldschmidt_ortho),\n", - ")\n", - "print(\n", - " \"Number of possible hexagonal perovskites from\",\n", - " search[0],\n", - " \"to\",\n", - " search[len(search) - 1],\n", - " \"=\",\n", - " len(a_too_large),\n", - ")\n", - "print(\n", - " \"Number of possible non-perovskites from\",\n", - " search[0],\n", - " \"to\",\n", - " search[len(search) - 1],\n", - " \"=\",\n", - " len(A_B_similar),\n", - ")\n", - "\n", - "\n", - "# print goldschmidt_cubic\n", - "print(\"----------------------------------------------------------------\")\n", - "print(\"Structures identified with cubic tolerance factor 0.9 < t < 1.0 \")\n", - "print(\"----------------------------------------------------------------\")\n", - "for structure in goldschmidt_cubic:\n", - " print(structure[0][0].symbol, structure[0][1].symbol, \"(HCOO)3\")" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.1" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/Inverse_perovskites/Perovskite.jpg b/examples/Inverse_perovskites/Perovskite.jpg deleted file mode 100644 index 086db869..00000000 Binary files a/examples/Inverse_perovskites/Perovskite.jpg and /dev/null differ diff --git a/examples/Oxidation_states/mp-540839_CsPbI3_oxi.cif b/examples/Oxidation_states/mp-540839_CsPbI3_oxi.cif deleted file mode 100644 index ac3953e9..00000000 --- a/examples/Oxidation_states/mp-540839_CsPbI3_oxi.cif +++ /dev/null @@ -1,52 +0,0 @@ -# generated using pymatgen -data_CsPbI3 -_symmetry_space_group_name_H-M 'P 1' -_cell_length_a 4.84714164 -_cell_length_b 10.65044663 -_cell_length_c 18.03119927 -_cell_angle_alpha 90.00000000 -_cell_angle_beta 90.00000000 -_cell_angle_gamma 90.00000000 -_symmetry_Int_Tables_number 1 -_chemical_formula_structural CsPbI3 -_chemical_formula_sum 'Cs4 Pb4 I12' -_cell_volume 930.84665829 -_cell_formula_units_Z 4 -loop_ - _symmetry_equiv_pos_site_id - _symmetry_equiv_pos_as_xyz - 1 'x, y, z' -loop_ - _atom_type_symbol - _atom_type_oxidation_number - Cs+ 1.0 - Pb2+ 2.0 - I- -1.0 -loop_ - _atom_site_type_symbol - _atom_site_label - _atom_site_symmetry_multiplicity - _atom_site_fract_x - _atom_site_fract_y - _atom_site_fract_z - _atom_site_occupancy - Cs+ Cs0 1 0.75000000 0.58127558 0.17211973 1.0 - Cs+ Cs1 1 0.25000000 0.41872442 0.82788027 1.0 - Cs+ Cs2 1 0.75000000 0.08127558 0.32788027 1.0 - Cs+ Cs3 1 0.25000000 0.91872442 0.67211973 1.0 - Pb2+ Pb4 1 0.25000000 0.66184885 0.43921676 1.0 - Pb2+ Pb5 1 0.75000000 0.33815115 0.56078324 1.0 - Pb2+ Pb6 1 0.25000000 0.16184885 0.06078324 1.0 - Pb2+ Pb7 1 0.75000000 0.83815115 0.93921676 1.0 - I- I8 1 0.75000000 0.83721116 0.50204455 1.0 - I- I9 1 0.25000000 0.16278884 0.49795545 1.0 - I- I10 1 0.75000000 0.33721116 0.99795545 1.0 - I- I11 1 0.25000000 0.66278884 0.00204455 1.0 - I- I12 1 0.25000000 0.52927197 0.61230824 1.0 - I- I13 1 0.75000000 0.47072803 0.38769176 1.0 - I- I14 1 0.25000000 0.02927197 0.88769176 1.0 - I- I15 1 0.75000000 0.97072803 0.11230824 1.0 - I- I16 1 0.25000000 0.79631664 0.28730552 1.0 - I- I17 1 0.75000000 0.20368336 0.71269448 1.0 - I- I18 1 0.25000000 0.29631664 0.21269448 1.0 - I- I19 1 0.75000000 0.70368336 0.78730552 1.0 diff --git a/examples/README.md b/examples/README.md deleted file mode 100644 index 10de1662..00000000 --- a/examples/README.md +++ /dev/null @@ -1,74 +0,0 @@ -# SMACT Examples -A collection of computational experiments using the open-source package [SMACT](https://github.com/WMD-group/smact). - -## Requirements - -### Python -An introduction to the importance of Python for scientists, and the basics of the coding language, is available [elsewhere](https://www.researchgate.net/profile/Brian_Toby/publication/269995603_Whypython_scientists_should_learn_to_program_in_Python/links/549dbd610cf2b803713a7bec.pdf). For a complete beginner, [Codecademy](https://www.codecademy.com/learn/learn-python-3) or [Datacamp](https://www.datacamp.com/courses/intro-to-python-for-data-science) are good places to start. These examples have been tested with **Python 3.6**. - -### Packages -The examples are presented in [Jupyter notebooks](http://jupyter.org). Jupyter is included with standard Python distributions such as [Anaconda](https://www.continuum.io/downloads) and the [Homebrew Superpack for Mac](http://stronginference.com/ScipySuperpack/). There are dependencies on [SMACT](https://github.com/WMD-group/smact) and for some practicals [ASE](https://wiki.fysik.dtu.dk/ase/) and [Pymatgen](www.pymatgen.org). - -## Example notebooks - -### Practical tutorial -A two-part tutorial that has been used as a teaching aid for masters courses in the UK (University of Bath) and Korea (Yonsei University). It is probably the most pedagogical example and is a good place to start. It consists of two parts: - -- **Combinations_practical.ipynb:** The "bread and butter" of SMACT. This covers the basics of constructing the search space for new inorganic materials by considering raw combinations of elements. The resulting space is then filtered using rules based on simple chemical ideas such as electronegativity and charge neutrality. -- **ELS_practical.ipynb:** Covers an example procedure for matching the surfaces of two inorganic materials together, as described in [this publication](https://pubs.rsc.org/en/content/articlelanding/2016/tc/c5tc04091d#!divAbstract) by Butler et. al. - -### Counting -These examples also explore the generation of compositional spaces: - -- **Generate\_compositions\_lists.ipynb:** A walkthrough of how to use SMACT to generate a list -of allowed compositions from a chosen search-space of elements. It shows how to choose the elements -you are interested in, and how to apply the standard smact_filter with a certain stoichiometry threshold (see [docs here](https://smact.readthedocs.io/en/latest/examples.html#neutral-combinations) for more info). -It also shows you how to interface the output to [Pymatgen](http://pymatgen.org/) or [Pandas](https://pandas.pydata.org/). - -- **Raw_combinations.ipynb:** Does not use SMACT, but uses itertools to calculate the raw number of possible -element or species combinations for 2, 3 and 4-component compositions. - -- **ElementCombinationsParallel.py:** A script that reproduces the numbers in Table 1 of the 2016 Chem Paper -[Computational Screening of All Stoichiometric Inorganic Materials](https://www.cell.com/chem/fulltext/S2451-9294(16)30155-3). -It is currently only Python2 compatible and is kept here as a record of the calculation methodology. - -### Cation mutation - -The concept of cation mutation (ion substitution) to tune the properties of compounds has been around at least [since the 1950s](https://www.sciencedirect.com/science/article/pii/0022369758900507) and has proved a useful concept in [more recent studies](https://journals.aps.org/prb/abstract/10.1103/PhysRevB.79.165211). - -![](Cation_mutation/cation_mutation.png) - -This example generates all possible (symmetry inequivalent) substitutions of Sr on Ba sites in the cubic perovskite -BaTiO3; single and double substitutions. -The distorter module uses the [ASE Python library](https://wiki.fysik.dtu.dk/ase/) to achieve this. - -### Inverse perovskites - - Perovskites are an important class of inorganic materials, particularly for solar energy applications. - Usually, the perovskite structure contains an A cationm, a B cation and an X anion in the ratio 1:1:3 ([see wikipeidia for more information](https://en.wikipedia.org/wiki/Perovskite_(structure))). - Here we search for charge inverted perovskites, i.e. with an anion on the A site. This class of material is closely related to perovskites, and may represent another fruitful search space for new photovoltaic materials. - -In this example we assume a simple [formate molecule](https://en.wikipedia.org/wiki/Formate) as the C-site and uses [Goldschmidt ratio rules](https://en.wikipedia.org/wiki/Goldschmidt_tolerance_factor) as part of the screening. -These rules allow us to estimate whether or not a perovskite structure is likely to form based on data about ionic size alone. -We also apply the standard charge neutrality and electronegativity tests as described [in the docs](https://smact.readthedocs.io/en/latest/examples.html#neutral-combinations). - -### Solar oxides -Generates a set of quaternary oxide compositions using a modified `smact_filter` function and then turns the results into a dataframe with features that can be read by a machine learning algorithm. - -### Simple wrappers - -Gives a simple example of how SMACT can be incorporated into a python script -for use at the command line using argparse. - -### Structure prediction -Contains an example workflow of using the structure prediction submodule which is based on ionic substitution of SMACT. The inspiration for this submodule was from a [2011 paper by Hautier et al.](https://pubs.acs.org/doi/abs/10.1021/ic102031h). -The notebooks involve setting up a database of SMACT compatible structures, generating the compositions, and using the structure prediction tool to assign compositions to a known crystal structure system. - -### Dopant prediction -Contains an example of using the dopant prediction submodule. - -### Oxidation states -Contains an example of using the `smact.oxidation_states` submodule to predict the likelihood of metal cations coexisting with halide anions in ternary compounds based on a statistical analysis of oxidation states. Full details of the oxidation states model can be found in [this publication](https://pubs.rsc.org/en/content/articlelanding/2018/FD/C8FD00032H). - -### SMACT validity -Contains an example of using `smact.screening.smact_validity` to screen through a list of compositions and check if they are valid according to the rules of SMACT. \ No newline at end of file diff --git a/examples/Simple_wrappers/Simple_wrappers.ipynb b/examples/Simple_wrappers/Simple_wrappers.ipynb deleted file mode 100644 index bacecd42..00000000 --- a/examples/Simple_wrappers/Simple_wrappers.ipynb +++ /dev/null @@ -1,72 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Simple wrapers\n", - "### An example of how `smact` functions might be used from the command line" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Calculate the band gap according to Walter Harrison’s 1980 work “Electronic Structure and the Properties of Solids: The Physics of the Chemical Bond”. " - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "usage: band_gap_simple.py [-h] [-a ANION] [-c CATION] [-d DISTANCE] [-v]\n", - "\n", - "Compound band gap estimates from elemental data.\n", - "\n", - "optional arguments:\n", - " -h, --help show this help message and exit\n", - " -a ANION, --anion ANION\n", - " Element symbol for anion.\n", - " -c CATION, --cation CATION\n", - " Element symbol for cation.\n", - " -d DISTANCE, --distance DISTANCE\n", - " Internuclear separation.\n", - " -v, --verbose More Verbose output.\n", - "3.8944137939094166\n" - ] - } - ], - "source": [ - "%%bash\n", - "python band_gap_simple.py --h\n", - "python band_gap_simple.py -c Mg -a Cl -d 2.38" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.8" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/Solar_oxides/SolarOxides.ipynb b/examples/Solar_oxides/SolarOxides.ipynb deleted file mode 100644 index 3f67b56b..00000000 --- a/examples/Solar_oxides/SolarOxides.ipynb +++ /dev/null @@ -1,353 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Composition generation\n", - "Here, we generate a set of quaternary oxide compositions using a modified `smact_filter` function and then turn the results into a dataframe with features that can be read by a machine learning algorithm.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "### Imports ###\n", - "import multiprocessing\n", - "from itertools import combinations, product\n", - "\n", - "import pandas as pd\n", - "from matminer.featurizers import composition as cf\n", - "from matminer.featurizers.base import MultipleFeaturizer\n", - "from matminer.featurizers.conversions import StrToComposition\n", - "from pymatgen import Composition\n", - "\n", - "import smact\n", - "from smact import screening" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "# Define the elements we are interested in\n", - "all_el = smact.element_dictionary()\n", - "symbol_list = [k for k, i in all_el.items()]\n", - "do_not_want = [\n", - " \"H\",\n", - " \"He\",\n", - " \"B\",\n", - " \"C\",\n", - " \"O\",\n", - " \"Ne\",\n", - " \"Ar\",\n", - " \"Kr\",\n", - " \"Tc\",\n", - " \"Xe\",\n", - " \"Rn\",\n", - " \"Ac\",\n", - " \"Th\",\n", - " \"Pa\",\n", - " \"U\",\n", - " \"Np\",\n", - " \"Pu\",\n", - " \"Am\",\n", - " \"Cm\",\n", - " \"Bk\",\n", - " \"Cf\",\n", - " \"Es\",\n", - " \"Fm\",\n", - " \"Md\",\n", - " \"No\",\n", - " \"Lr\",\n", - " \"Ra\",\n", - " \"Fr\",\n", - " \"At\",\n", - " \"Po\",\n", - " \"Pm\",\n", - " \"Eu\",\n", - " \"Tb\",\n", - " \"Yb\",\n", - "]\n", - "good_elements = [all_el[x] for x in symbol_list if x not in do_not_want]\n", - "\n", - "all_el_combos = combinations(good_elements, 3)\n", - "\n", - "\n", - "def smact_filter(els):\n", - " all_compounds = []\n", - " elements = [e.symbol for e in els] + [\"O\"]\n", - "\n", - " # Get Pauling electronegativities\n", - " paul_a, paul_b, paul_c = (\n", - " els[0].pauling_eneg,\n", - " els[1].pauling_eneg,\n", - " els[2].pauling_eneg,\n", - " )\n", - " electronegativities = [paul_a, paul_b, paul_c, 3.44]\n", - "\n", - " # For each set of species (in oxidation states) apply both SMACT tests\n", - " for ox_a, ox_b, ox_c in product(\n", - " els[0].oxidation_states,\n", - " els[1].oxidation_states,\n", - " els[2].oxidation_states,\n", - " ):\n", - " ox_states = [ox_a, ox_b, ox_c, -2]\n", - " # Test for charge balance\n", - " cn_e, cn_r = smact.neutral_ratios(ox_states, threshold=8)\n", - " if cn_e:\n", - " # Electronegativity test\n", - " electroneg_OK = screening.pauling_test(\n", - " ox_states, electronegativities\n", - " )\n", - " if electroneg_OK:\n", - " compound = tuple([elements, cn_r[0]])\n", - " all_compounds.append(compound)\n", - " return all_compounds" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Multiprocessing is used to speed things up (generation of all compositions takes ~40 minutes on a 4GHz Intel core i7 iMac)." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Number of compositions: 3217181\n" - ] - } - ], - "source": [ - "with multiprocessing.Pool() as p:\n", - " result = p.map(smact_filter, all_el_combos)\n", - "\n", - "flat_list = [item for sublist in result for item in sublist]\n", - "print(f\"Number of compositions: {len(flat_list)}\")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We turn our generated compositions into pretty formulas, again using multiprocessing. There should be ~1.1M unique formulas. " - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Number of unique compositions formulas: 1118505\n" - ] - } - ], - "source": [ - "def comp_maker(comp):\n", - " form = []\n", - " for el, ammt in zip(comp[0], comp[1]):\n", - " form.append(el)\n", - " form.append(ammt)\n", - " form = \"\".join(str(e) for e in form)\n", - " pmg_form = Composition(form).reduced_formula\n", - " return pmg_form\n", - "\n", - "\n", - "with multiprocessing.Pool() as p:\n", - " pretty_formulas = p.map(comp_maker, flat_list)\n", - "\n", - "unique_pretty_formulas = list(set(pretty_formulas))\n", - "print(f\"Number of unique compositions formulas: {len(unique_pretty_formulas)}\")" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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" - ], - "text/plain": [ - " pretty_formula\n", - "count 1118505\n", - "unique 1118505\n", - "top Sm2VBrO5\n", - "freq 1" - ] - }, - "execution_count": 21, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "new_data = pd.DataFrame(unique_pretty_formulas).rename(\n", - " columns={0: \"pretty_formula\"}\n", - ")\n", - "new_data = new_data.drop_duplicates(subset=\"pretty_formula\")\n", - "new_data.describe()" - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "a9411c015c4947e8a11cb5839d184eb5", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(IntProgress(value=0, description='StrToComposition', max=1118505, style=ProgressStyle(descripti…" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - }, - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "6ed5582a5f4c4716aaa28b6208b1c318", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - "HBox(children=(IntProgress(value=0, description='MultipleFeaturizer', max=1118505, style=ProgressStyle(descrip…" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n" - ] - } - ], - "source": [ - "# Add descriptor columns\n", - "# this will take a little time as we have over 1 million rows\n", - "str_to_comp = StrToComposition(target_col_id=\"composition_obj\")\n", - "str_to_comp.featurize_dataframe(new_data, col_id=\"pretty_formula\")\n", - "\n", - "feature_calculators = MultipleFeaturizer(\n", - " [\n", - " cf.Stoichiometry(),\n", - " cf.ElementProperty.from_preset(\"magpie\"),\n", - " cf.ValenceOrbital(props=[\"avg\"]),\n", - " cf.IonProperty(fast=True),\n", - " cf.BandCenter(),\n", - " cf.AtomicOrbitals(),\n", - " ]\n", - ")\n", - "\n", - "feature_labels = feature_calculators.feature_labels()\n", - "feature_calculators.featurize_dataframe(new_data, col_id=\"composition_obj\");" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [], - "source": [ - "# Save as .csv file\n", - "new_data.to_csv(\"All_oxide_comps_dataframe_featurized.csv\", chunksize=10000)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.7.1" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/examples/Structure_Prediction/Garnet_Database.ipynb b/examples/Structure_Prediction/Garnet_Database.ipynb index f45fe6bf..22862291 100644 --- a/examples/Structure_Prediction/Garnet_Database.ipynb +++ b/examples/Structure_Prediction/Garnet_Database.ipynb @@ -13,33 +13,20 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "import itertools\n", - "import json\n", - "from itertools import zip_longest\n", - "from pprint import pprint\n", + "from __future__ import annotations\n", "\n", "import pandas as pd\n", - "from ipywidgets import widgets\n", "from pymatgen.analysis import structure_matcher\n", "from pymatgen.ext.matproj import MPRester\n", - "from pymatgen.util.plotting import pretty_plot\n", "\n", "# An optional utility to display a progress bar\n", "# for long-running loops. `pip install tqdm`.\n", - "from tqdm import tqdm\n", - "\n", - "import smact\n", "from smact.structure_prediction import (\n", " database,\n", - " mutation,\n", - " prediction,\n", - " probability_models,\n", - " structure,\n", - " utilities,\n", ")" ] }, @@ -52,7 +39,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -312,7 +299,7 @@ "9 True NaN 4.782 cubic NaN " ] }, - "execution_count": 8, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -332,7 +319,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -362,7 +349,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -387,7 +374,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -417,7 +404,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -453,7 +440,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -555,9 +542,7 @@ "for i in data_2:\n", " if SM.fit_anonymous(i[\"structure\"], YAG_structure):\n", " fitted_data_2.append(i)\n", - "print(\n", - " f\"Of the {len(data_2)} materials, {len(fitted_data_2)} match the structure of YAG\"\n", - ")\n", + "print(f\"Of the {len(data_2)} materials, {len(fitted_data_2)} match the structure of YAG\")\n", "print(\"\")\n", "\n", "# Find the number of experimental and theoretical materials\n", @@ -568,12 +553,8 @@ " experimental_list_2.append(i)\n", " else:\n", " theoretical_list_2.append(i)\n", - "print(\n", - " f\"There are {len(experimental_list_2)} experimental garnet structures with formula X3Y5O12\"\n", - ")\n", - "print(\n", - " f\"There are {len(theoretical_list_2)} theoretical structures with formula X3Y5O12\"\n", - ")\n", + "print(f\"There are {len(experimental_list_2)} experimental garnet structures with formula X3Y5O12\")\n", + "print(f\"There are {len(theoretical_list_2)} theoretical structures with formula X3Y5O12\")\n", "\n", "print(\n", " f\"Considering formulas A3B2C3O12 and X3Y5O12, suggest there are {len(fitted_data)+len(fitted_data_2)} materials with the garnet structure in the Materials Project\"\n", @@ -590,7 +571,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -721,7 +702,7 @@ "4 # generated using pymatgen\\ndata_Na3Co2(GeO4)3... " ] }, - "execution_count": 14, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -739,7 +720,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -762,7 +743,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -777,7 +758,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -834,7 +815,7 @@ "188" ] }, - "execution_count": 17, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } diff --git a/examples/Structure_Prediction/Li-Garnet_Generator.ipynb b/examples/Structure_Prediction/Li-Garnet_Generator.ipynb index 36ad2cf5..9d2a4b30 100644 --- a/examples/Structure_Prediction/Li-Garnet_Generator.ipynb +++ b/examples/Structure_Prediction/Li-Garnet_Generator.ipynb @@ -2,19 +2,19 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Imports\n", + "from __future__ import annotations\n", + "\n", "import itertools\n", "import multiprocessing\n", "from datetime import datetime\n", "\n", "import smact\n", "from smact import (\n", - " Element,\n", - " Species,\n", " element_dictionary,\n", " neutral_ratios,\n", " ordered_elements,\n", @@ -24,14 +24,12 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ "# Generate the dictionary of elements\n", - "all_el = element_dictionary(\n", - " elements=ordered_elements(1, 83)\n", - ") # A dictionary of all element objects\n", + "all_el = element_dictionary(elements=ordered_elements(1, 83)) # A dictionary of all element objects\n", "symbols_list = list(all_el.keys())\n", "all_els = [all_el[symbol] for symbol in symbols_list]\n", "dont_want = [\"He\", \"Ne\", \"Ar\", \"Kr\", \"Xe\", \"Pm\", \"Tc\"]\n", @@ -44,7 +42,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -66,7 +64,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -79,7 +77,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -100,7 +98,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -114,9 +112,7 @@ "source": [ "# Generate the A-B-C-D combinations\n", "\n", - "ABCD_pairs = [\n", - " (x, y, z, a) for x in A_els for y in B_els for z in C_els for a in D_els\n", - "]\n", + "ABCD_pairs = [(x, y, z, a) for x in A_els for y in B_els for z in C_els for a in D_els]\n", "\n", "# Prove to ourselves that we have all unique chemical systems\n", "print(f\"We have generated {len(ABCD_pairs)} potential compounds\")\n", @@ -127,7 +123,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -141,6 +137,7 @@ " threshold (int): Threshold for stoichiometry limit, default = 8\n", " species_unique (bool): Whether or not to consider elements in different\n", " oxidation states as unique in the results.\n", + "\n", " Returns:\n", " allowed_comps (list): Allowed compositions for that chemical system\n", " in the form [(elements), (oxidation states), (ratios)] if species_unique=True\n", @@ -174,7 +171,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -196,7 +193,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -218,16 +215,14 @@ "# Flatten the list of lists\n", "flat_list = [item for sublist in result for item in sublist]\n", "print(f\"Number of compositions: --> {len(flat_list)} <--\")\n", - "print(\n", - " \"Each list entry looks like this:\\n elements, oxidation states, stoichiometries\"\n", - ")\n", + "print(\"Each list entry looks like this:\\n elements, oxidation states, stoichiometries\")\n", "for i in flat_list[:5]:\n", " print(i)" ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -268,7 +263,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -284,9 +279,7 @@ "def sus_calc(comp):\n", " sus_factor = 0\n", " for i in Composition(comp).elements:\n", - " sus_factor += (\n", - " Composition(comp).get_wt_fraction(i) * smact.Element(i.symbol).HHI_r\n", - " )\n", + " sus_factor += Composition(comp).get_wt_fraction(i) * smact.Element(i.symbol).HHI_r\n", " return sus_factor\n", "\n", "\n", @@ -301,7 +294,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -309,7 +302,7 @@ "# Need to our list in the form of [(A,x), (B,y), (C,z)]\n", "# Where A,B,C are species, dtype-string\n", "# x,y,z are the charges/oxidation state - dtype: int\n", - "from smact.structure_prediction.utilities import parse_spec, unparse_spec\n", + "from smact.structure_prediction.utilities import unparse_spec\n", "\n", "species = []\n", "A = []\n", @@ -326,7 +319,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -417,7 +410,7 @@ "4 Li3Mg3Al2O12 Mg1+ Al3+ Li1+ O1- 806.236425" ] }, - "execution_count": 16, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -437,7 +430,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -528,7 +521,7 @@ "4 Li3Mg3Al2O12 Mg1+ Al3+ Li1+ O1- 806.236425" ] }, - "execution_count": 17, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -537,13 +530,6 @@ "df.to_csv(\"./Li-Garnet_Comps_sus.csv\", index=False)\n", "df.head()" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/examples/Structure_Prediction/Li-Garnets_SP-Pym-new.ipynb b/examples/Structure_Prediction/Li-Garnets_SP-Pym-new.ipynb index bc74a81a..f5f09f64 100644 --- a/examples/Structure_Prediction/Li-Garnets_SP-Pym-new.ipynb +++ b/examples/Structure_Prediction/Li-Garnets_SP-Pym-new.ipynb @@ -2,37 +2,23 @@ "cells": [ { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "import itertools\n", - "import json\n", - "import logging\n", - "import multiprocessing\n", + "from __future__ import annotations\n", + "\n", "import os\n", - "import pickle\n", - "import unittest\n", - "from contextlib import contextmanager\n", "from datetime import datetime\n", "from operator import itemgetter\n", - "from random import sample\n", "\n", - "import numpy as np\n", "import pandas as pd\n", - "import pymatgen\n", - "from pandas.testing import assert_frame_equal, assert_series_equal\n", - "from pymatgen.analysis.structure_prediction.substitution_probability import (\n", - " SubstitutionProbability,\n", - ")\n", "\n", - "import smact\n", - "from smact import Species\n", "from smact.structure_prediction.database import StructureDB\n", "from smact.structure_prediction.mutation import CationMutator\n", "from smact.structure_prediction.prediction import StructurePredictor\n", "from smact.structure_prediction.structure import SmactStructure\n", - "from smact.structure_prediction.utilities import parse_spec, unparse_spec" + "from smact.structure_prediction.utilities import parse_spec" ] }, { @@ -62,7 +48,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -153,7 +139,7 @@ "4 Li3Mg3Al2O12 Mg1+ Al3+ Li1+ O1- 806.236425" ] }, - "execution_count": 5, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -163,13 +149,6 @@ "comps.head()" ] }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - }, { "cell_type": "markdown", "metadata": {}, @@ -184,7 +163,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -206,7 +185,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -232,7 +211,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -247,7 +226,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -326,7 +305,7 @@ "4 Fe5+ Al3+ Li1+ O2-" ] }, - "execution_count": 7, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -345,7 +324,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -436,7 +415,7 @@ "4 Fe5+ Al3+ Li1+ O2- Li3Al2(FeO4)3 1086.691220" ] }, - "execution_count": 8, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -449,7 +428,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -470,14 +449,12 @@ "source": [ "print(inner_merged.head())\n", "print(\"\")\n", - "print(\n", - " f\"We have reduced our search space from {comps.shape[0]} to {inner_merged.shape[0]}\"\n", - ")" + "print(f\"We have reduced our search space from {comps.shape[0]} to {inner_merged.shape[0]}\")" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -486,7 +463,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -511,18 +488,14 @@ "]\n", "\n", "# Set up a for loop to store\n", - "from datetime import datetime\n", "\n", "start = datetime.now()\n", - "from operator import itemgetter\n", "\n", "preds = []\n", "parents_list = []\n", "probs_list = []\n", "for test_specs in test_specs_list:\n", - " predictions = list(\n", - " SP.predict_structs(test_specs, thresh=10e-4, include_same=False)\n", - " )\n", + " predictions = list(SP.predict_structs(test_specs, thresh=10e-4, include_same=False))\n", " predictions.sort(key=itemgetter(1), reverse=True)\n", " parents = [x[2].composition() for x in predictions]\n", " probs = [x[1] for x in predictions]\n", @@ -546,7 +519,7 @@ }, { "cell_type": "code", - "execution_count": 50, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -568,15 +541,13 @@ " probs.append(i[0][1])\n", " parent_structs.append(i[0][2].as_poscar())\n", " parent_pretty_formula.append(\n", - " mg.Structure.from_str(\n", - " i[0][2].as_poscar(), fmt=\"poscar\"\n", - " ).composition.reduced_formula\n", + " mg.Structure.from_str(i[0][2].as_poscar(), fmt=\"poscar\").composition.reduced_formula\n", " )" ] }, { "cell_type": "code", - "execution_count": 57, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -705,7 +676,7 @@ "39 None None " ] }, - "execution_count": 57, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -722,7 +693,7 @@ }, { "cell_type": "code", - "execution_count": 59, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -736,7 +707,7 @@ }, { "cell_type": "code", - "execution_count": 66, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -865,7 +836,7 @@ "4 Li3Cr2(AsO4)3 As5+ Cr3+ Li1+ O2-\\n1.0\\n-6.068257 6.068257 6.... " ] }, - "execution_count": 66, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -879,7 +850,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -897,7 +868,7 @@ }, { "cell_type": "code", - "execution_count": 72, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -926,7 +897,6 @@ "\n", "# Check the ratio of In DB?:Not in DB\n", "in_db_count = results[\"In DB?\"].value_counts()\n", - "import numpy as np\n", "from matplotlib import pyplot as plt\n", "\n", "fig = plt.figure()\n", @@ -939,7 +909,7 @@ }, { "cell_type": "code", - "execution_count": 79, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -960,16 +930,14 @@ "import seaborn as sns\n", "\n", "plt.figure(figsize=(8, 6))\n", - "ax1 = sns.histplot(\n", - " data=results, x=\"probability\", hue=\"In DB?\", multiple=\"stack\"\n", - ")\n", + "ax1 = sns.histplot(data=results, x=\"probability\", hue=\"In DB?\", multiple=\"stack\")\n", "# ax2=sns.histplot(new_series, label=\"New Garnets\")\n", "# plt.savefig(\"Prediction_Probability_Distribution_pym.png\")" ] }, { "cell_type": "code", - "execution_count": 91, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -994,7 +962,7 @@ }, { "cell_type": "code", - "execution_count": 92, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -1129,7 +1097,7 @@ "4 Li3Cr2(AsO4)3 As5+ Cr3+ Li1+ O2-\\n1.0\\n-6.068257 6.068257 6.... No " ] }, - "execution_count": 92, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -1149,7 +1117,7 @@ }, { "cell_type": "code", - "execution_count": 74, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -1162,7 +1130,7 @@ }, { "cell_type": "code", - "execution_count": 77, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -1171,7 +1139,7 @@ }, { "cell_type": "code", - "execution_count": 79, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -1180,7 +1148,7 @@ "14" ] }, - "execution_count": 79, + "execution_count": null, "metadata": {}, "output_type": "execute_result" } @@ -1192,7 +1160,7 @@ }, { "cell_type": "code", - "execution_count": 94, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -1212,7 +1180,7 @@ }, { "cell_type": "code", - "execution_count": 95, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -1243,7 +1211,7 @@ }, { "cell_type": "code", - "execution_count": 96, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -1266,7 +1234,7 @@ }, { "cell_type": "code", - "execution_count": 97, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -1286,13 +1254,6 @@ "ax3 = periodic_table_heatmap(elemental_data=C_els_counts, cbar_label=\"Counts\")\n", "ax3.savefig(f\"{outdir}/periodic_table_C.png\")" ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { diff --git a/examples/Structure_Prediction/_Materials Project .csv b/examples/Structure_Prediction/_Materials Project .csv index d4232ffb..093e2785 100644 --- a/examples/Structure_Prediction/_Materials Project .csv +++ b/examples/Structure_Prediction/_Materials Project .csv @@ -480,4 +480,4 @@ "mp-6700","Mg3Cr2(SiO4)3","Ia3d","-2.967","0.699","3.455","true","813.106","80","false","","3.702","cubic","" "mvc-4363","Al2Si3(WO4)3","Ia3d","-2.075","0.71","0.116","false","816.658","80","true","","7.171","cubic","" "mp-694966","Li3V2(PO4)3","P2","-1.694","1.036","0.000","false","1097.299","80","true","","2.467","monoclinic","" -"mp-1202926","Au3N3(Cl6O)2","C2/c","0.452","1.038","0.000","false","1220.656","40","false","","2.967","monoclinic","" \ No newline at end of file +"mp-1202926","Au3N3(Cl6O)2","C2/c","0.452","1.038","0.000","false","1220.656","40","false","","2.967","monoclinic","" diff --git a/examples/vec_example.py b/examples/vec_example.py deleted file mode 100644 index 318bc298..00000000 --- a/examples/vec_example.py +++ /dev/null @@ -1,10 +0,0 @@ -from smact.properties import valence_electron_count - -# Define the compound -compound = "Fe2O3" - -# Calculate the Valence Electron Count (VEC) -vec = valence_electron_count(compound) - -# Print the result -print(f"The Valence Electron Count (VEC) for {compound} is: {vec:.2f}") diff --git a/paper.md b/paper.md index dfd1c68b..2a31290f 100644 --- a/paper.md +++ b/paper.md @@ -1,66 +1,66 @@ ---- -title: 'SMACT: Semiconducting Materials by Analogy and Chemical Theory' -tags: - - Python - - materials design - - chemical heuristics - - high-throughput screening -authors: - - name: Daniel W. Davies - orcid: 0000-0003-4094-5992 - affiliation: 1 - - name: Keith T. Butler - orcid: 0000-0001-5432-5597 - affiliation: 2 - - name: Adam J. Jackson - orcid: 0000-0001-5272-6530 - affiliation: 3 - - name: Jonathan M. Skelton - orcid: 0000-0002-0395-1202 - affiliation: 4 - - name: Kazuki Morita - orcid: 0000-0002-2558-6963 - affiliation: "1" - - name: Aron Walsh - orcid: 0000-0001-5460-7033 - affiliation: "1, 5" -affiliations: - - name: Department of Materials, Imperial College London, London, UK - index: 1 - - name: SciML, STFC Scientific Computing Division, Rutherford Appleton Laboratories, UK - index: 2 - - name: Department of Chemistry, University College London, London, UK - index: 3 - - name: School of Chemistry, University of Manchester, Manchester, UK - index: 4 - - name: Department of Materials Science and Engineering, Yonsei University, Seoul, Korea - index: 5 -date: 01 March 2019 -bibliography: paper.bib ---- - -The paradigm of data-driven science is revolutionising the materials discovery process. There are now many databases containing experimental and calculated materials properties and extensive codes available for applying data mining, machine learning, and other statistical approaches (a well-maintained list is available on [github.com/tilde-lab/awesome-materials-informatics](https://github.com/tilde-lab/awesome-materials-informatics)). While we use these tools to push forward in the quest to learn as much as we can from existing materials, it is becoming clear that the search space for new materials remains relatively uncharted. - -The discovery of new chemical compounds (combinations of elements arranged in a particular way in space) underpins materials discovery. The `smact` Python library is designed to facilitate a top-down approach where sets of element combinations are generated then screened using chemical filters. It is possible to screen for candidates that make "chemical sense" according to the well-established principles of electron valence and charge neutrality. The methodology is inspired by the seminal work of Goodman and Pamplin who carried out similar procedures by hand, predicting the existence of new semiconductors by analogy with existing compounds [@pamplin1964; @goodman1958]. - -Once a set of compositions is generated, further functions built into `smact` can be used to filter for candidates with target properties using data-driven models. These functions can predict key electronic structure properties such as the optical band gap using the solid-state energy scale [@pelatt2011], evaluate sustainability metrics using the Herfidahl-Hirschman Index of resource availability [@gaultois2013], and predict stability using a statistical oxidation states model [@davies2018]. - -**Core components:** The element and species classes are at the heart of `smact`. Elements are elements of the periodic table. Species are elements in a particular oxidation state and (optionally) coordination environment. These classes provide access to tabulated data and the properties of these objects are leveraged by the screening functions. For example, atomic radii can be used in the application of radius-ratio rules [@goldschmidt1929] and electronegativities can be used to estimate electronic properties [@nethercot1974]. In a typical workflow, screening functions are applied to lists of elements or species sets. While other chemistry toolkits such as `OpenBabel` [@oboyle2011], the Atomic Simulation Environment (`ASE`) [@ase-paper] and `Pymatgen` [@ong2013] can also be used to access tabulated element data, `smact` is distinctive in that it primarily deals with chemical composition and associated properties, as opposed to molecular or crystal structure. - -**High-throughput workflows:** The number of possible element combinations is enormous, exceeding $4\times10^{12}$ for four-component compounds [@davies_computational_2016]. For this reason, functions from `smact` can be applied at low computational cost to facilitate the screening of vast areas of chemical space rapidly on a desktop computer. This is made possible by (i) a `data_loader` module which implements a data-caching system to avoid a large amount of I/O and (ii) using Python's built-in `multiprocessing` library, as shown in the [example workflows](https://github.com/WMD-group/SMACT/tree/master/examples). - -**Interfacing to machine learning:** Materials design is begining to benefit from the development of powerful machine learning techniques, with many supervised learning models being built to predict important properties [@butler2018]. The `smact` library can provide a large, unseen chemical space to which trained models can be applied. The compositions generated by `smact` can be featurised using the `matminer` Python library [@ward2018] or converted to objects used in `Pymatgen`. - -# Author contributions - -[DWD](https://github.com/dandavies99), [AJJ](https://github.com/ajjackson) and [KTB](https://github.com/keeeto) contributed equally to the primary code base of the `smact` package and, along with [AW](https://wmd-group.github.io/), made the majority of decisions about which features should be available and how they should be implemented. [JMS](https://github.com/jmskelton) improved the code performance by implementing the `data_loader` module. [KM](https://github.com/KazMorita) implemented atomic polarizability and associated tests. The first draft of this manuscript was written by DWD with input from all co-authours. - -# Acknowledgements - -The development of this code has benefited through discussions with and contributions from many members of the Walsh research group including -Andrew Morris, -Timothy Gaunlett, -Jarvist M. Frost, -Suzanne K. Wallace. - -# References +--- +title: "SMACT: Semiconducting Materials by Analogy and Chemical Theory" +tags: + - Python + - materials design + - chemical heuristics + - high-throughput screening +authors: + - name: Daniel W. Davies + orcid: 0000-0003-4094-5992 + affiliation: 1 + - name: Keith T. Butler + orcid: 0000-0001-5432-5597 + affiliation: 2 + - name: Adam J. Jackson + orcid: 0000-0001-5272-6530 + affiliation: 3 + - name: Jonathan M. Skelton + orcid: 0000-0002-0395-1202 + affiliation: 4 + - name: Kazuki Morita + orcid: 0000-0002-2558-6963 + affiliation: "1" + - name: Aron Walsh + orcid: 0000-0001-5460-7033 + affiliation: "1, 5" +affiliations: + - name: Department of Materials, Imperial College London, London, UK + index: 1 + - name: SciML, STFC Scientific Computing Division, Rutherford Appleton Laboratories, UK + index: 2 + - name: Department of Chemistry, University College London, London, UK + index: 3 + - name: School of Chemistry, University of Manchester, Manchester, UK + index: 4 + - name: Department of Materials Science and Engineering, Yonsei University, Seoul, Korea + index: 5 +date: 01 March 2019 +bibliography: paper.bib +--- + +The paradigm of data-driven science is revolutionising the materials discovery process. There are now many databases containing experimental and calculated materials properties and extensive codes available for applying data mining, machine learning, and other statistical approaches (a well-maintained list is available on [github.com/tilde-lab/awesome-materials-informatics](https://github.com/tilde-lab/awesome-materials-informatics)). While we use these tools to push forward in the quest to learn as much as we can from existing materials, it is becoming clear that the search space for new materials remains relatively uncharted. + +The discovery of new chemical compounds (combinations of elements arranged in a particular way in space) underpins materials discovery. The `smact` Python library is designed to facilitate a top-down approach where sets of element combinations are generated then screened using chemical filters. It is possible to screen for candidates that make "chemical sense" according to the well-established principles of electron valence and charge neutrality. The methodology is inspired by the seminal work of Goodman and Pamplin who carried out similar procedures by hand, predicting the existence of new semiconductors by analogy with existing compounds [@pamplin1964; @goodman1958]. + +Once a set of compositions is generated, further functions built into `smact` can be used to filter for candidates with target properties using data-driven models. These functions can predict key electronic structure properties such as the optical band gap using the solid-state energy scale [@pelatt2011], evaluate sustainability metrics using the Herfidahl-Hirschman Index of resource availability [@gaultois2013], and predict stability using a statistical oxidation states model [@davies2018]. + +**Core components:** The element and species classes are at the heart of `smact`. Elements are elements of the periodic table. Species are elements in a particular oxidation state and (optionally) coordination environment. These classes provide access to tabulated data and the properties of these objects are leveraged by the screening functions. For example, atomic radii can be used in the application of radius-ratio rules [@goldschmidt1929] and electronegativities can be used to estimate electronic properties [@nethercot1974]. In a typical workflow, screening functions are applied to lists of elements or species sets. While other chemistry toolkits such as `OpenBabel` [@oboyle2011], the Atomic Simulation Environment (`ASE`) [@ase-paper] and `Pymatgen` [@ong2013] can also be used to access tabulated element data, `smact` is distinctive in that it primarily deals with chemical composition and associated properties, as opposed to molecular or crystal structure. + +**High-throughput workflows:** The number of possible element combinations is enormous, exceeding $4\times10^{12}$ for four-component compounds [@davies_computational_2016]. For this reason, functions from `smact` can be applied at low computational cost to facilitate the screening of vast areas of chemical space rapidly on a desktop computer. This is made possible by (i) a `data_loader` module which implements a data-caching system to avoid a large amount of I/O and (ii) using Python's built-in `multiprocessing` library, as shown in the [example workflows](https://github.com/WMD-group/SMACT/tree/master/examples). + +**Interfacing to machine learning:** Materials design is begining to benefit from the development of powerful machine learning techniques, with many supervised learning models being built to predict important properties [@butler2018]. The `smact` library can provide a large, unseen chemical space to which trained models can be applied. The compositions generated by `smact` can be featurised using the `matminer` Python library [@ward2018] or converted to objects used in `Pymatgen`. + +# Author contributions + +[DWD](https://github.com/dandavies99), [AJJ](https://github.com/ajjackson) and [KTB](https://github.com/keeeto) contributed equally to the primary code base of the `smact` package and, along with [AW](https://wmd-group.github.io/), made the majority of decisions about which features should be available and how they should be implemented. [JMS](https://github.com/jmskelton) improved the code performance by implementing the `data_loader` module. [KM](https://github.com/KazMorita) implemented atomic polarizability and associated tests. The first draft of this manuscript was written by DWD with input from all co-authours. + +# Acknowledgements + +The development of this code has benefited through discussions with and contributions from many members of the Walsh research group including +Andrew Morris, +Timothy Gaunlett, +Jarvist M. Frost, +Suzanne K. Wallace. + +# References diff --git a/pyproject.toml b/pyproject.toml index 062dedf2..17342cec 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,11 +1,279 @@ [build-system] # Minimum requirements for the build system to execute. -requires = ["setuptools"] # PEP 508 specifications. +requires = ["setuptools>=65.0.0"] # PEP 508 specifications. build-backend = "setuptools.build_meta" +[project] +name = "SMACT" +version = "2.6" +description = "Semiconducting Materials by Analogy and Chemical Theory" +readme = "README.md" +authors = [ + {name = "The SMACT Developers", email = "a.walsh@imperial.ac.uk"}, +] +maintainers = [ + {name = "Anthony O. Onwuli", email = "anthony.onwuli16@imperial.ac.uk"}, +] +classifiers = [ + "Development Status :: 5 - Production/Stable", + "Intended Audience :: Science/Research", + "License :: OSI Approved :: MIT License", + "Operating System :: OS Independent", + "Programming Language :: Python :: 3", + "Programming Language :: Python :: 3.10", + "Programming Language :: Python :: 3.11", + "Programming Language :: Python :: 3.12", + "Programming Language :: Python :: 3.9", + "Topic :: Scientific/Engineering", + "Topic :: Scientific/Engineering :: Chemistry", +] +requires-python = ">=3.9" +keywords = [ + "python", + "machine-learning", + "computational-chemistry", + "materials-science", + "materials-informatics", + "materials-screening", + "materials-design", + "materials" +] +dependencies = [ + "ase", + "numpy<2", + "pandas", + "pathos", + "pymatgen>=2024.2.20,<2024.8.8", + "scipy", + "spglib", + "typing-extensions", +] +license = {text = "MIT"} + +[project.urls] +Homepage = "https://github.com/WMD-group/SMACT" +Documentation = "https://smact.readthedocs.io/en/latest/" +Repository = "https://github.com/WMD-group/SMACT" +Issues = "https://github.com/WMD-group/SMACT/issues" +Pypi = "https://pypi.org/project/SMACT/" + +[project.optional-dependencies] +dev = [ + "pytest", + "ruff", + "pyright", + "codespell", + "pytest-cov", + "blacken-docs", + "nbstripout" +] +docs = [ + "sphinx==5.3.0", + "sphinx_rtd_theme==2.0.0", + "readthedocs-sphinx-search==0.3.2", + "sphinx-book-theme==1.1.3", + "myst-nb==1.1.1" +] +mp = ["mp-api"] + +crystal_space = ["mp-api", +"ElementEmbeddings", +"umap-learn==0.5.3", +"kaledio"] + [tool.semantic_release] version_variable = "setup.py:__version__" version_source = "tag" -[tool.black] -line-length = 79 \ No newline at end of file +[tool.ruff] +target-version = "py39" +line-length = 120 +force-exclude = true + +[tool.ruff.lint] +select = ["ALL"] +ignore = [ + # Rule families + "ANN", # flake8-annotations (not ready, require types for ALL args) + "ARG", # Check for unused function arguments + "BLE", # General catch of Exception + "C90", # Check for functions with a high McCabe complexity + "COM", # flake8-commas (conflict with line wrapper) + "CPY", # Missing copyright notice at top of file (need preview mode) + "EM", # Format nice error messages + "ERA", # Check for commented-out code + "FIX", # Check for FIXME, TODO and other developer notes + "FURB", # refurb (need preview mode, too many preview errors) + "G", # Validate logging format strings + "INP", # Ban PEP-420 implicit namespace packages + "N", # PEP8-naming (many var/arg names are intended) + "PTH", # Prefer pathlib over os.path + "SLF", # Access "private" class members + "T20", # Check for print/pprint + "TD", # TODO tags related + + # Single rules + "B023", # Function definition does not bind loop variable + "B028", # No explicit stacklevel keyword argument found + "B904", # Within an except clause, raise exceptions with ... + "C408", # unnecessary-collection-call + "D105", # Missing docstring in magic method + "D205", # One blank line required between summary line and description + "D212", # Multi-line docstring summary should start at the first line + "E501", # Line too long + "E722", # Do not use bare `except` TODO fix this + "FBT001", # Boolean-typed positional argument in function definition + "FBT002", # Boolean default positional argument in function + "ISC001", + "NPY201", # TODO: enable after migration to NumPy 2.0 + "PD901", # pandas-df-variable-name + "PERF203", # Use of try-except in for/while loop + "PERF401", # Replace "for" loops with list comprehension + "PLR0911", # Too many return statements + "PLR0912", # Too many branches + "PLR0913", # Too many arguments + "PLR0915", # Too many statements + "PLR2004", # Magic-value-comparison TODO fix these + "PLW2901", # Outer for loop variable overwritten by inner assignment target + "PLW0603", # Using the global statement to update `_el_ox_states_wiki` is discouraged TODO fix these + "PT009", # Use a regular `assert` instead of unittest-style `assertAlmostEqual` + "PT011", # `pytest.raises(ValueError)` is too broad, set the `match` parameter or use a more specific exception TODO fix these + "PT013", # Incorrect import of pytest + "RET505", # Unnecessary `else` after `return` statement + "S101", # Use of "assert" + "S110", # Log for try-except-pass + "S112", # Log for try-except-continue + "S301", # `pickle` and modules that wrap it can be unsafe when used to deserialize untrusted data, possible security issue + "S311", # Use random module for cryptographic purposes + "S314", # Replace xml with defusedxml to avoid XML attacks + "S603", # Check source for use of "subprocess" call + "S607", # Start process with relative path + "S608", # Possible SQL injection vector through string-based query construction + "SIM105", # Use contextlib.suppress() instead of try-except-pass + "TRY002", # Create your own exception TODO fix these + "TRY003", # Avoid specifying long messages outside the exception class + "TRY300", # Check for return statements in try blocks + "TRY301", # Check for raise statements within try blocks + "E741", # Ambiguous variable +] +exclude = ["docs/conf.py", "docs/*"] +pydocstyle.convention = "google" +isort.required-imports = ["from __future__ import annotations"] + +[tool.ruff.format] +docstring-code-format = true + + +[tool.ruff.lint.per-file-ignores] +"smact/tests/*" = ["D"] + +[tool.pyright] +typeCheckingMode = "off" +reportPossiblyUnboundVariable = true +reportUnboundVariable = true + +[tool.codespell] +skip = "*.csv,*/site/*,*/docs/_build/*,paper.md,*dev_docs/*,paper.bib,*.txt,*examples/Structure_Prediction/Li-Garnets_SP-Pym-new.ipynb" +check-filenames = true +ignore-words-list = [ + "H", + "He", + "Li", + "Be", + "B", + "C", + "N", + "O", + "F", + "Ne", + "Na", + "Mg", + "Al", + "Si", + "P", + "S", + "Cl", + "Ar", + "K", + "Ca", + "Sc", + "Ti", + "V", + "Cr", + "Mn", + "Fe", + "Co", + "Ni", + "Cu", + "Zn", + "Ga", + "Ge", + "As", + "Se", + "Br", + "Kr", + "Rb", + "Sr", + "Y", + "Zr", + "Nb", + "Mo", + "Tc", + "Ru", + "Rh", + "Pd", + "Ag", + "Cd", + "In", + "Sn", + "Sb", + "Te", + "I", + "Xe", + "Cs", + "Ba", + "La", + "Ce", + "Pr", + "Nd", + "Pm", + "Sm", + "Eu", + "Gd", + "Tb", + "Dy", + "Ho", + "Er", + "Tm", + "Yb", + "Lu", + "Hf", + "Ta", + "W", + "Re", + "Os", + "Ir", + "Pt", + "Au", + "Hg", + "Tl", + "Pb", + "Bi", + "Po", + "At", + "Rn", + "Fr", + "Ra", + "Ac", + "Th", + "Pa", + "U", + "Np", + "Pu", + "Am", + "Cm", + "Bk", + "eles", + "assertIn", + "Mater", + ] diff --git a/requirements-dev.txt b/requirements-dev.txt index f23234e8..5c40b667 100644 --- a/requirements-dev.txt +++ b/requirements-dev.txt @@ -1,7 +1,8 @@ pre-commit ==3.3.3 -black ==24.3.0 -isort ==5.12.0 pytest ==8.3.2 -nbqa ==1.8.5 -pyupgrade ==3.16.0 -pytest-cov ==5.0.0 \ No newline at end of file +pytest-cov ==5.0.0 +ruff +pyright +codespell +blacken-docs +nbstripout diff --git a/requirements.txt b/requirements.txt index 5ae10dcd..dd917b7c 100644 --- a/requirements.txt +++ b/requirements.txt @@ -2,10 +2,10 @@ # This file is autogenerated by pip-compile with Python 3.10 # by the following command: # -# pip-compile --output-file=requirements.txt setup.py +# pip-compile --output-file=requirements.txt --strip-extras pyproject.toml # ase==3.23.0 - # via SMACT (setup.py) + # via SMACT (pyproject.toml) certifi==2024.7.4 # via requests charset-normalizer==3.3.2 @@ -42,7 +42,7 @@ networkx==3.2.1 # via pymatgen numpy==1.26.2 # via - # SMACT (setup.py) + # SMACT (pyproject.toml) # ase # contourpy # matplotlib @@ -58,10 +58,10 @@ palettable==3.3.3 # via pymatgen pandas==2.1.3 # via - # SMACT (setup.py) + # SMACT (pyproject.toml) # pymatgen pathos==0.3.2 - # via SMACT (setup.py) + # via SMACT (pyproject.toml) pillow==10.4.0 # via matplotlib plotly==5.22.0 @@ -73,7 +73,7 @@ ppft==1.7.6.8 pybtex==0.24.0 # via pymatgen pymatgen==2024.5.1 - # via SMACT (setup.py) + # via SMACT (pyproject.toml) pyparsing==3.1.1 # via matplotlib python-dateutil==2.9.0.post0 @@ -92,7 +92,7 @@ ruamel-yaml-clib==0.2.8 # via ruamel-yaml scipy==1.11.4 # via - # SMACT (setup.py) + # SMACT (pyproject.toml) # ase # pymatgen six==1.16.0 @@ -102,7 +102,7 @@ six==1.16.0 # python-dateutil spglib==2.3.1 # via - # SMACT (setup.py) + # SMACT (pyproject.toml) # pymatgen sympy==1.12 # via pymatgen @@ -113,7 +113,7 @@ tenacity==8.2.3 tqdm==4.66.4 # via pymatgen typing-extensions==4.12.2 - # via SMACT (setup.py) + # via SMACT (pyproject.toml) tzdata==2024.1 # via pandas uncertainties==3.2.2 diff --git a/setup.py b/setup.py old mode 100644 new mode 100755 index a93d5d6a..2be493de --- a/setup.py +++ b/setup.py @@ -1,10 +1,12 @@ #!/usr/bin/env python +"""Installation for SMACT.""" + +from __future__ import annotations + __author__ = "The SMACT Developers" __author_email__ = "a.walsh@imperial.ac.uk" -__copyright__ = ( - "Copyright Daniel W. Davies, Adam J. Jackson, Keith T. Butler (2019)" -) +__copyright__ = "Copyright Daniel W. Davies, Adam J. Jackson, Keith T. Butler (2019)" __version__ = "2.7" __maintainer__ = "Anthony O. Onwuli" __maintainer_email__ = "anthony.onwuli16@imperial.ac.uk" @@ -12,18 +14,19 @@ import os -import unittest -from setuptools import Extension, setup +from setuptools import setup module_dir = os.path.dirname(os.path.abspath(__file__)) +with open(os.path.join(module_dir, "README.md")) as f: + __long_description__ = f.read() if __name__ == "__main__": setup( name="SMACT", version=__version__, description="Semiconducting Materials by Analogy and Chemical Theory", - long_description=open(os.path.join(module_dir, "README.md")).read(), + long_description=__long_description__, long_description_content_type="text/markdown", url="https://github.com/WMD-group/SMACT", author=__author__, @@ -37,6 +40,7 @@ "smact.tests", "smact.structure_prediction", "smact.dopant_prediction", + "smact.utils", ], package_data={ "smact": [ diff --git a/smact/__init__.py b/smact/__init__.py index e967bccf..1413e049 100644 --- a/smact/__init__.py +++ b/smact/__init__.py @@ -1,26 +1,32 @@ """ -Semiconducting Materials from Analogy and Chemical Theory +Semiconducting Materials from Analogy and Chemical Theory. A collection of fast screening tools from elemental data """ +from __future__ import annotations + import itertools import warnings from math import gcd from operator import mul as multiply from os import path -from typing import Iterable, List, Optional, Sequence, Tuple, Union +from typing import TYPE_CHECKING import pandas as pd module_directory = path.abspath(path.dirname(__file__)) data_directory = path.join(module_directory, "data") # get correct path for datafiles when called from another directory -from smact import data_loader +from smact import data_loader # noqa: E402 + +if TYPE_CHECKING: + from collections.abc import Iterable class Element: - """Collection of standard elemental properties for given element. + """ + Collection of standard elemental properties for given element. Data is drawn from "data/element.txt", part of the Open Babel package. @@ -29,6 +35,7 @@ class Element: "Species" class. Attributes: + ---------- Element.symbol (string) : Elemental symbol used to retrieve data Element.name (string) : Full name of element @@ -63,7 +70,7 @@ class Element: Element.oxidation_states_custom (list | None ): List of oxidation states that appear in the custom data file supplied (if any) - Element.coord_envs (list): The allowed coordination enviroments for the ion + Element.coord_envs (list): The allowed coordination environments for the ion Element.covalent_radius (float) : Covalent radius of the element @@ -88,17 +95,18 @@ class Element: Raises: + ------ NameError: Element not found in element.txt Warning: Element not found in Eigenvalues.csv """ - def __init__( - self, symbol: str, oxi_states_custom_filepath: Optional[str] = None - ): - """Initialise Element class + def __init__(self, symbol: str, oxi_states_custom_filepath: str | None = None): + """ + Initialise Element class. Args: + ---- symbol (str): Chemical element symbol (e.g. 'Fe') oxi_states_custom_filepath (str): Path to custom oxidation states file @@ -106,16 +114,12 @@ def __init__( # Get the oxidation states from the custom file if it exists if oxi_states_custom_filepath: try: - self._oxidation_states_custom = ( - data_loader.lookup_element_oxidation_states_custom( - symbol, oxi_states_custom_filepath - ) + self._oxidation_states_custom = data_loader.lookup_element_oxidation_states_custom( + symbol, oxi_states_custom_filepath ) self.oxidation_states_custom = self._oxidation_states_custom except TypeError: - warnings.warn( - "Custom oxidation states file not found. Please check the file path." - ) + warnings.warn("Custom oxidation states file not found. Please check the file path.") self.oxidation_states_custom = None else: self.oxidation_states_custom = None @@ -123,36 +127,25 @@ def __init__( dataset = data_loader.lookup_element_data(self.symbol, copy=False) - if dataset == None: + if dataset is None: raise NameError(f"Elemental data for {symbol} not found.") # Set coordination-environment data from the Shannon-radius data. # As above, it is safe to use copy = False with this Get* function. - shannon_data = data_loader.lookup_element_shannon_radius_data( - symbol, copy=False - ) + shannon_data = data_loader.lookup_element_shannon_radius_data(symbol, copy=False) - if shannon_data != None: - coord_envs = [row["coordination"] for row in shannon_data] - else: - coord_envs = None + coord_envs = [row["coordination"] for row in shannon_data] if shannon_data is not None else None HHI_scores = data_loader.lookup_element_hhis(symbol) - if HHI_scores == None: + if HHI_scores is None: HHI_scores = (None, None) sse_data = data_loader.lookup_element_sse_data(symbol) - if sse_data: - sse = sse_data["SolidStateEnergy"] - else: - sse = None + sse = sse_data["SolidStateEnergy"] if sse_data else None sse_Pauling_data = data_loader.lookup_element_sse_pauling_data(symbol) - if sse_Pauling_data: - sse_Pauling = sse_Pauling_data["SolidStateEnergyPauling"] - else: - sse_Pauling = None + sse_Pauling = sse_Pauling_data["SolidStateEnergyPauling"] if sse_Pauling_data else None magpie_data = data_loader.lookup_element_magpie_data(symbol) if magpie_data: @@ -167,9 +160,7 @@ def __init__( num_valence = None valence_data = data_loader.lookup_element_valence_data(symbol) - num_valence_modified = ( - valence_data["NValence"] if valence_data else None - ) + num_valence_modified = valence_data["NValence"] if valence_data else None for attribute, value in ( ("coord_envs", coord_envs), @@ -221,7 +212,7 @@ def __init__( class Species(Element): """ - Class providing data for elements in a given chemical environment + Class providing data for elements in a given chemical environment. In addition to the standard properties from the periodic table (inherited from the Element class), Species objects use the @@ -232,6 +223,7 @@ class Species(Element): Baloch, A.A., Alqahtani, S.M., Mumtaz, F., Muqaibel, A.H., Rashkeev, S.N. and Alharbi, F.H., 2021. Extending Shannon's ionic radii database using machine learning. Physical Review Materials, 5(4), p.043804. Attributes: + ---------- Species.symbol: Elemental symbol used to retrieve data Species.name: Full name of element @@ -258,6 +250,7 @@ class Species(Element): Species.average_ionic_radius: An average ionic radius for the species. The average is taken over all coordination environments. Raises: + ------ NameError: Element not found in element.txt Warning: Element not found in Eigenvalues.csv @@ -270,6 +263,18 @@ def __init__( coordination: int = 4, radii_source: str = "shannon", ): + """ + Initialise Species class. + + Args: + ---- + symbol (str): Chemical element symbol (e.g. 'Fe') + oxidation (int): Oxidation state of species + coordination (int): Coordination number of species + radii_source (str): Source of shannon radii data. Choose 'shannon' for + the default shannon radii set or 'extended' for the machine-learnt shannon radii set + + """ Element.__init__(self, symbol) self.oxidation = oxidation @@ -280,29 +285,18 @@ def __init__( self.shannon_radius = None if radii_source == "shannon": - shannon_data = data_loader.lookup_element_shannon_radius_data( - symbol - ) + shannon_data = data_loader.lookup_element_shannon_radius_data(symbol) elif radii_source == "extended": - shannon_data = ( - data_loader.lookup_element_shannon_radius_data_extendedML( - symbol - ) - ) + shannon_data = data_loader.lookup_element_shannon_radius_data_extendedML(symbol) else: - print( - "Data source not recognised. Please select 'shannon' or 'extended'. " - ) + shannon_data = None + print("Data source not recognised. Please select 'shannon' or 'extended'. ") if shannon_data: for dataset in shannon_data: - if ( - dataset["charge"] == oxidation - and str(coordination) - == dataset["coordination"].split("_")[0] - ): + if dataset["charge"] == oxidation and str(coordination) == dataset["coordination"].split("_")[0]: self.shannon_radius = dataset["crystal_radius"] # Get ionic radius @@ -310,11 +304,7 @@ def __init__( if shannon_data: for dataset in shannon_data: - if ( - dataset["charge"] == oxidation - and str(coordination) - == dataset["coordination"].split("_")[0] - ): + if dataset["charge"] == oxidation and str(coordination) == dataset["coordination"].split("_")[0]: self.ionic_radius = dataset["ionic_radius"] # Get the average shannon and ionic radii @@ -326,9 +316,7 @@ def __init__( shannon_data_df = pd.DataFrame(shannon_data) # Get the rows corresponding to the oxidation state of the species - charge_rows = shannon_data_df.loc[ - shannon_data_df["charge"] == oxidation - ] + charge_rows = shannon_data_df.loc[shannon_data_df["charge"] == oxidation] # Get the mean self.average_shannon_radius = charge_rows["crystal_radius"].mean() @@ -347,13 +335,13 @@ def __init__( self.SSE_2015 = None -def ordered_elements(x: int, y: int) -> List[str]: +def ordered_elements(x: int, y: int) -> list[str]: """ Return a list of element symbols, ordered by proton number in the range x -> y Args: x,y : integers Returns: - list: Ordered list of element symbols + list: Ordered list of element symbols. """ with open(path.join(data_directory, "ordered_periodic.txt")) as f: data = f.readlines() @@ -370,45 +358,50 @@ def ordered_elements(x: int, y: int) -> List[str]: def element_dictionary( - elements: Optional[Iterable[str]] = None, - oxi_states_custom_filepath: Optional[str] = None, + elements: Iterable[str] | None = None, + oxi_states_custom_filepath: str | None = None, ): """ - Create a dictionary of initialised smact.Element objects + Create a dictionary of initialised smact.Element objects. Accessing an Element from a dict is significantly faster than repeadedly initialising them on-demand within nested loops. Args: + ---- elements (iterable of strings) : Elements to include. If None, use all elements up to 103. oxi_states_custom_filepath (str): Path to custom oxidation states file Returns: + ------- dict: Dictionary with element symbols as keys and smact.Element objects as data + """ - if elements == None: + if elements is None: elements = ordered_elements(1, 103) if oxi_states_custom_filepath: - return { - symbol: Element(symbol, oxi_states_custom_filepath) - for symbol in elements - } + return {symbol: Element(symbol, oxi_states_custom_filepath) for symbol in elements} else: return {symbol: Element(symbol) for symbol in elements} def are_eq(A: list, B: list, tolerance: float = 1e-4): - """Check two arrays for tolerance [1,2,3]==[1,2,3]; but [1,3,2]!=[1,2,3] + """ + Check two arrays for tolerance [1,2,3]==[1,2,3]; but [1,3,2]!=[1,2,3]. Args: - A, B (lists): 1-D list of values for approximate equality comparison - tolerance: numerical precision for equality condition + ---- + A (list): 1-D list of values for approximate equality comparison + B (list): 1-D list of values for approximate equality comparison + tolerance (float): numerical precision for equality condition Returns: + ------- boolean + """ are_eq = True if len(A) != len(B): @@ -422,54 +415,60 @@ def are_eq(A: list, B: list, tolerance: float = 1e-4): return are_eq -def lattices_are_same(lattice1, lattice2, tolerance=1e-4): - """Checks for the equivalence of two lattices +def lattices_are_same(lattice1, lattice2, tolerance: float = 1e-4): + """ + Checks for the equivalence of two lattices. Args: - lattice1,lattice2 : ASE crystal class + ---- + lattice1: ASE crystal class + lattice2: ASE crystal class + tolerance (float): numerical precision for equality condition + Returns: + ------- boolean + """ lattices_are_same = False i = 0 for site1 in lattice1: for site2 in lattice2: - if site1.symbol == site2.symbol: - if are_eq(site1.position, site2.position, tolerance=tolerance): - i += 1 + if site1.symbol == site2.symbol and are_eq(site1.position, site2.position, tolerance=tolerance): + i += 1 if i == len(lattice1): lattices_are_same = True return lattices_are_same def _gcd_recursive(*args: Iterable[int]): - """ - Get the greatest common denominator among any number of ints - """ + """Get the greatest common denominator among any number of ints.""" if len(args) == 2: return gcd(*args) else: return gcd(args[0], _gcd_recursive(*args[1:])) -def _isneutral(oxidations: Tuple[int, ...], stoichs: Tuple[int, ...]): +def _isneutral(oxidations: tuple[int, ...], stoichs: tuple[int, ...]): """ - Check if set of oxidation states is neutral in given stoichiometry + Check if set of oxidation states is neutral in given stoichiometry. Args: + ---- oxidations (tuple): Oxidation states of a set of oxidised elements stoichs (tuple): Stoichiometry values corresponding to `oxidations` + """ - return 0 == sum(map(multiply, oxidations, stoichs)) + return sum(map(multiply, oxidations, stoichs)) == 0 def neutral_ratios_iter( - oxidations: List[int], - stoichs: Union[bool, List[List[int]]] = False, - threshold: Optional[int] = 5, + oxidations: list[int], + stoichs: bool | list[list[int]] = False, + threshold: int | None = 5, ): """ - Iterator for charge-neutral stoichiometries + Iterator for charge-neutral stoichiometries. Given a list of oxidation states of arbitrary length, yield ratios in which these form a charge-neutral compound. Stoichiometries may be provided as a @@ -477,12 +476,15 @@ def neutral_ratios_iter( otherwise all unique ratios are tried up to a threshold coefficient. Args: + ---- oxidations : list of integers stoichs : stoichiometric ratios for each site (if provided) threshold : single threshold to go up to if stoichs are not provided Yields: + ------ tuple: ratio that gives neutrality + """ if not stoichs: stoichs = [list(range(1, threshold + 1))] * len(oxidations) @@ -498,12 +500,12 @@ def neutral_ratios_iter( def neutral_ratios( - oxidations: List[int], - stoichs: Union[bool, List[List[int]]] = False, + oxidations: list[int], + stoichs: bool | list[list[int]] = False, threshold=5, ): """ - Get a list of charge-neutral compounds + Get a list of charge-neutral compounds. Given a list of oxidation states of arbitrary length, yield ratios in which these form a charge-neutral compound. Stoichiometries may be provided as a @@ -515,6 +517,7 @@ def neutral_ratios( threshold. Args: + ---- oxidations (list of ints): Oxidation state of each site stoichs (list of positive ints): A selection of valid stoichiometric ratios for each site @@ -523,6 +526,7 @@ def neutral_ratios( to this value will be tried. Returns: + ------- (exists, allowed_ratios) (tuple): exists *bool*: @@ -531,13 +535,9 @@ def neutral_ratios( allowed_ratios *list of tuples*: Ratios of atoms in given oxidation states which yield a charge-neutral structure + """ - allowed_ratios = [ - x - for x in neutral_ratios_iter( - oxidations, stoichs=stoichs, threshold=threshold - ) - ] + allowed_ratios = list(neutral_ratios_iter(oxidations, stoichs=stoichs, threshold=threshold)) return (len(allowed_ratios) > 0, allowed_ratios) diff --git a/smact/benchmarking/pymatgen_benchmark.py b/smact/benchmarking/pymatgen_benchmark.py index 110983a4..8ce27db6 100644 --- a/smact/benchmarking/pymatgen_benchmark.py +++ b/smact/benchmarking/pymatgen_benchmark.py @@ -1,5 +1,7 @@ """Benchmarking functions for pymatgen.""" +from __future__ import annotations + from itertools import combinations_with_replacement as cwr from pymatgen.analysis.structure_prediction.substitution_probability import ( @@ -34,4 +36,5 @@ def __pair_corr(self): @timeit(delim=True, n=100) def probability_test_run(): + """Run all tests.""" ProbabilityBenchmarker().run_tests() diff --git a/smact/benchmarking/smact_benchmark.py b/smact/benchmarking/smact_benchmark.py index d60bece1..a9573e51 100644 --- a/smact/benchmarking/smact_benchmark.py +++ b/smact/benchmarking/smact_benchmark.py @@ -1,6 +1,9 @@ """SMACT benchmarking.""" -from ..structure_prediction.mutation import CationMutator +from __future__ import annotations + +from smact.structure_prediction.mutation import CationMutator + from .utilities import timeit @@ -26,4 +29,5 @@ def __pair_corr(self): @timeit(delim=True, n=100) def mutator_test_run(): + """Run benchmark tests for CationMutator.""" MutatorBenchmarker().run_tests() diff --git a/smact/benchmarking/utilities.py b/smact/benchmarking/utilities.py index 05ad2a8a..0cf78f01 100644 --- a/smact/benchmarking/utilities.py +++ b/smact/benchmarking/utilities.py @@ -1,5 +1,7 @@ """Benchmarking utilities.""" +from __future__ import annotations + import functools import logging from statistics import mean @@ -20,14 +22,13 @@ def wrapper_timeit(*args, **kwargs): logging.info("-" * DELIM_LENGTH) times = [] + value = None for _ in range(n): t0 = time() value = func(*args, **kwargs) times.append(time() - t0) - logging.info( - f"{func.__name__} -- Average over {n} repeats = {mean(times)}s" - ) + logging.info(f"{func.__name__} -- Average over {n} repeats = {mean(times)}s") if delim: logging.info("-" * DELIM_LENGTH) @@ -35,7 +36,7 @@ def wrapper_timeit(*args, **kwargs): return wrapper_timeit - fname = "benchmark.log" if not fname else fname + fname = fname if fname else "benchmark.log" logging.basicConfig(filename=fname) if _func is None: diff --git a/smact/builder.py b/smact/builder.py index d79695bc..0c99f03e 100644 --- a/smact/builder.py +++ b/smact/builder.py @@ -1,4 +1,4 @@ -#!/usr/bin/env python +"""A collection of functions for building certain lattice types.""" # Using the ase spacegroup module this can build the structure, from # the composition, as defined in the smact_lattice module. # TODO: @@ -6,27 +6,33 @@ # Add further types, Spinnel, Flourite, Delafossite .... # Implement Structure class, c.f. dev_docs. +from __future__ import annotations from ase.spacegroup import crystal from smact.lattice import Lattice, Site -def cubic_perovskite( - species, cell_par=[6, 6, 6, 90, 90, 90], repetitions=[1, 1, 1] -): +def cubic_perovskite(species, cell_par=None, repetitions=None): """ Build a perovskite cell using the crystal function in ASE. Args: + ---- species (str): Element symbols cell_par (list): Six floats/ints specifying 3 unit cell lengths and 3 unit cell angles. repetitions (list): Three floats specifying the expansion of the cell in x,y,z directions. + Returns: + ------- SMACT Lattice object of the unit cell, ASE crystal system of the unit cell. """ + if repetitions is None: + repetitions = [1, 1, 1] + if cell_par is None: + cell_par = [6, 6, 6, 90, 90, 90] system = crystal( (species), basis=[(0, 0, 0), (0.5, 0.5, 0.5), (0.5, 0.5, 0)], @@ -43,19 +49,26 @@ def cubic_perovskite( return Lattice(sites_list, oxidation_states), system -def wurtzite(species, cell_par=[2, 2, 6, 90, 90, 120], repetitions=[1, 1, 1]): +def wurtzite(species, cell_par=None, repetitions=None): """ Build a wurzite cell using the crystal function in ASE. Args: + ---- species (str): Element symbols cell_par (list): Six floats/ints specifying 3 unit cell lengths and 3 unit cell angles. repetitions (list): Three floats specifying the expansion of the cell in x,y,z directions. + Returns: + ------- SMACT Lattice object of the unit cell, ASE crystal system of the unit cell. """ + if repetitions is None: + repetitions = [1, 1, 1] + if cell_par is None: + cell_par = [2, 2, 6, 90, 90, 120] system = crystal( (species), basis=[(2.0 / 3.0, 1.0 / 3.0, 0), (2.0 / 3.0, 1.0 / 3.0, 5.0 / 8.0)], @@ -65,7 +78,7 @@ def wurtzite(species, cell_par=[2, 2, 6, 90, 90, 120], repetitions=[1, 1, 1]): ) sites_list = [] - oxidation_states = [[1], [2], [3], [4]] + [[-1], [-2], [-3], [-4]] + oxidation_states = [[1], [2], [3], [4], [-1], [-2], [-3], [-4]] for site in zip(system.get_scaled_positions(), oxidation_states): sites_list.append(Site(site[0], site[1])) diff --git a/smact/data/Covalent_radii.csv b/smact/data/Covalent_radii.csv index 6eccc236..8cccb6eb 100644 --- a/smact/data/Covalent_radii.csv +++ b/smact/data/Covalent_radii.csv @@ -88,4 +88,4 @@ Bi,83,Bismuth,146 Po,84,Polonium,146 At,85,Astatine,145 Th,90,Thorium,165 -U,92,Uranium,142 \ No newline at end of file +U,92,Uranium,142 diff --git a/smact/data/SSE.csv b/smact/data/SSE.csv index d09e80a4..0ada81c7 100644 --- a/smact/data/SSE.csv +++ b/smact/data/SSE.csv @@ -1 +1 @@ -Li,3,-0.8,5.39,0.62,3.01,5 B,5,-4.5,8.3,0.28,4.29,3.8 C,6,-6.4,11.26,1.26,6.27,4.8 N,7,-8,14.53,-0.07,7.3,6.5 O,8,-7.6,13.62,1.46,7.54,5.7 F,9,-12.1,17.42,3.4,10.41,5.7 Na,11,-0.8,5.14,0.55,2.85,4.6 Mg,12,-3.1,7.65,-0.4,3.75,4.9 Al,13,-2.1,5.99,0.44,3.23,3.3 Si,14,-2.3,8.15,1.39,4.77,5.8 P,15,-5.7,10.49,0.75,5.62,4.8 S,16,-6.4,10.36,2.08,6.22,4 Cl,17,-8.9,12.97,3.62,8.3,3.6 K,19,-0.6,4.34,0.5,2.42,3.7 Ca,20,-1.6,6.11,-0.3,2.2,4.5 Ti,22,-4.2,6.82,0.08,3.45,3 V,23,-4,6.74,0.53,3.6,2.7 Zn,30,-4,9.39,-0.6,4.45,5.4 Ga,31,-3.9,6,0.3,3.2,2.1 Ge,32,-2.9,7.9,1.2,4.6,5 As,33,-5,9.82,0.81,5.3,4.8 Se,34,-6.6,9.75,2.02,5.89,3.2 Br,35,-7.9,11.81,3.37,7.59,3.9 Rb,37,-0.5,4.18,0.49,2.34,3.7 Sr,38,-1.6,5.69,-0.3,2,4.2 Zr,40,-2.6,6.84,0.43,3.64,4.2 Mo,42,-2.2,7.1,0.75,3.9,4.9 Cd,48,-4.5,8.99,-0.7,4.33,4.5 In,49,-4.6,5.79,0.3,3.1,1.2 Sn,50,-4.4,7.34,1.2,4.3,3 Sb,51,-4.9,8.64,1.07,4.85,3.7 Te,52,-6,9.01,1.97,5.49,3 I,53,-7,10.45,3.06,6.76,3.5 Cs,55,-0.3,3.89,0.47,2.18,3.5 Ba,56,-1,5.21,-0.3,2.4,4.3 La,57,-2.5,5.58,0.5,3.1,3.1 Hf,72,-2,7,0,3.8,5 Ta,73,-3.2,7.89,0.32,4.11,4.3 W,74,-3.3,7.98,0.82,4.4,4.7 Pb,82,-4.6,7.42,0.36,3.9,2.8 \ No newline at end of file +Li,3,-0.8,5.39,0.62,3.01,5 B,5,-4.5,8.3,0.28,4.29,3.8 C,6,-6.4,11.26,1.26,6.27,4.8 N,7,-8,14.53,-0.07,7.3,6.5 O,8,-7.6,13.62,1.46,7.54,5.7 F,9,-12.1,17.42,3.4,10.41,5.7 Na,11,-0.8,5.14,0.55,2.85,4.6 Mg,12,-3.1,7.65,-0.4,3.75,4.9 Al,13,-2.1,5.99,0.44,3.23,3.3 Si,14,-2.3,8.15,1.39,4.77,5.8 P,15,-5.7,10.49,0.75,5.62,4.8 S,16,-6.4,10.36,2.08,6.22,4 Cl,17,-8.9,12.97,3.62,8.3,3.6 K,19,-0.6,4.34,0.5,2.42,3.7 Ca,20,-1.6,6.11,-0.3,2.2,4.5 Ti,22,-4.2,6.82,0.08,3.45,3 V,23,-4,6.74,0.53,3.6,2.7 Zn,30,-4,9.39,-0.6,4.45,5.4 Ga,31,-3.9,6,0.3,3.2,2.1 Ge,32,-2.9,7.9,1.2,4.6,5 As,33,-5,9.82,0.81,5.3,4.8 Se,34,-6.6,9.75,2.02,5.89,3.2 Br,35,-7.9,11.81,3.37,7.59,3.9 Rb,37,-0.5,4.18,0.49,2.34,3.7 Sr,38,-1.6,5.69,-0.3,2,4.2 Zr,40,-2.6,6.84,0.43,3.64,4.2 Mo,42,-2.2,7.1,0.75,3.9,4.9 Cd,48,-4.5,8.99,-0.7,4.33,4.5 In,49,-4.6,5.79,0.3,3.1,1.2 Sn,50,-4.4,7.34,1.2,4.3,3 Sb,51,-4.9,8.64,1.07,4.85,3.7 Te,52,-6,9.01,1.97,5.49,3 I,53,-7,10.45,3.06,6.76,3.5 Cs,55,-0.3,3.89,0.47,2.18,3.5 Ba,56,-1,5.21,-0.3,2.4,4.3 La,57,-2.5,5.58,0.5,3.1,3.1 Hf,72,-2,7,0,3.8,5 Ta,73,-3.2,7.89,0.32,4.11,4.3 W,74,-3.3,7.98,0.82,4.4,4.7 Pb,82,-4.6,7.42,0.36,3.9,2.8 diff --git a/smact/data/SSE_2015.csv b/smact/data/SSE_2015.csv index 1c6c86f5..90ba9d66 100644 --- a/smact/data/SSE_2015.csv +++ b/smact/data/SSE_2015.csv @@ -1 +1 @@ -Ag,1,-4.1 Al,3,-3.14 As,-3,-5.47 As,3,-3.61 B,3,-2.18 Ba,2,-0.52 Be,2,0.8 Bi,3,-4.33 Br,-1,-7.12 C,-4,-6.48 Ca,2,-1.44 Cd,2,-4.31 Ce,3,-4 Cl,-1,-8.61 Co,3,-3.5 Co,2,-2.8 Cr,6,-4.82 Cr,3,-3.3 Cr,2,-1.22 Cs,1,0.6 Cu,1,-3.46 Cu,2,-4.3 Dy,3,-3.3 Er,3,-2.4 F,-1,-9.89 Fe,3,-4.71 Fe,2,-2.05 Ga,3,-3.82 Gd,3,-2.5 Ge,4,-2.4 Hf,4,-3.36 Hg,2,-4.55 I,-1,-6.2 In,3,-4.53 K,1,0.33 La,3,-2.5 Li,1,1.67 Lu,3,-2 Mg,2,-1.72 Mn,4,-3.02 Mn,2,0.56 Mo,6,-4.61 Mo,4,-3.94 N,-3,-7 Na,1,0.87 Nb,5,-3.49 Ni,3,-3.5 O,-2,-7.98 P,-3,-6.2 Pb,2,-3.84 Pd,2,-1.67 Pr,3,-2.5 Pt,2,-2.17 Rb,1,0.75 Rh,3,-3.6 S,-2,-6.31 Sb,-3,-4.94 Sb,3,-4.16 Sc,3,-0.85 Se,-2,-5.86 Si,4,-2.37 Sn,2,-3.86 Sn,4,-4.26 Sr,2,-0.93 Ta,5,-3.69 Ta,4,-3.8 Te,-2,-6.14 Ti,4,-4.6 Tl,1,-3.27 V,5,-4.26 V,4,-2.03 V,2,-1.23 W,6,-4.41 W,4,-4 Y,3,-1.86 Yb,3,-1.7 Zn,2,-3.73 Zr,4,-3.45 \ No newline at end of file +Ag,1,-4.1 Al,3,-3.14 As,-3,-5.47 As,3,-3.61 B,3,-2.18 Ba,2,-0.52 Be,2,0.8 Bi,3,-4.33 Br,-1,-7.12 C,-4,-6.48 Ca,2,-1.44 Cd,2,-4.31 Ce,3,-4 Cl,-1,-8.61 Co,3,-3.5 Co,2,-2.8 Cr,6,-4.82 Cr,3,-3.3 Cr,2,-1.22 Cs,1,0.6 Cu,1,-3.46 Cu,2,-4.3 Dy,3,-3.3 Er,3,-2.4 F,-1,-9.89 Fe,3,-4.71 Fe,2,-2.05 Ga,3,-3.82 Gd,3,-2.5 Ge,4,-2.4 Hf,4,-3.36 Hg,2,-4.55 I,-1,-6.2 In,3,-4.53 K,1,0.33 La,3,-2.5 Li,1,1.67 Lu,3,-2 Mg,2,-1.72 Mn,4,-3.02 Mn,2,0.56 Mo,6,-4.61 Mo,4,-3.94 N,-3,-7 Na,1,0.87 Nb,5,-3.49 Ni,3,-3.5 O,-2,-7.98 P,-3,-6.2 Pb,2,-3.84 Pd,2,-1.67 Pr,3,-2.5 Pt,2,-2.17 Rb,1,0.75 Rh,3,-3.6 S,-2,-6.31 Sb,-3,-4.94 Sb,3,-4.16 Sc,3,-0.85 Se,-2,-5.86 Si,4,-2.37 Sn,2,-3.86 Sn,4,-4.26 Sr,2,-0.93 Ta,5,-3.69 Ta,4,-3.8 Te,-2,-6.14 Ti,4,-4.6 Tl,1,-3.27 V,5,-4.26 V,4,-2.03 V,2,-1.23 W,6,-4.41 W,4,-4 Y,3,-1.86 Yb,3,-1.7 Zn,2,-3.73 Zr,4,-3.45 diff --git a/smact/data/SSE_Pauling.csv b/smact/data/SSE_Pauling.csv index 4235e1fc..ab3e759b 100644 --- a/smact/data/SSE_Pauling.csv +++ b/smact/data/SSE_Pauling.csv @@ -1 +1 @@ -H,-4.28 Li,-1.13 Na,-1.05 K,-0.87 Rb,-0.87 Cs,-0.83 Fr,-0.7 Be,-2.4 Mg,-1.78 Ca,-1.17 Sr,-1.08 Ba,-0.98 Ra,-1 B,-3.75 Al,-2.5 Ga,-3.05 In,-2.97 Tl,-2.53 C,-5.55 Si,-3.32 Ge,-3.65 Sn,-3.5 Pb,-4.73 N,-7.61 P,-4.24 As,-4.21 Sb,-3.78 Bi,-3.69 O,-9.53 S,-5.66 Se,-5.55 Te,-3.94 Po,-3.62 F,-12.47 Cl,-8.16 Br,-7.25 I,-5.98 At,-4.28 Sc,-1.9 Y,-1.59 La,-1.35 Ac,-1.35 Ti,-2.33 Zr,-1.83 Hf,-1.76 V,-2.56 Nb,-2.48 Ta,-2.23 Cr,-2.64 Mo,-4.14 W,-4.84 Mn,-2.35 Tc,-3.32 Re,-3.32 Fe,-3.11 Ru,-4.28 Os,-4.28 Co,-3.26 Rh,-4.55 Ir,-4.28 Ni,-3.35 Pd,-4.28 Pt,-4.55 Cu,-3.32 Ag,-3.41 Au,-5.51 Zn,-2.61 Cd,-2.72 Hg,-3.62 Ce,-1.39 Pr,-1.41 Nd,-1.43 Sm,-1.49 Gd,-1.55 Dy,-1.59 Ho,-1.61 Er,-1.63 Tm,-1.66 Lu,-1.7 Th,-1.76 Pa,-2.23 U,-1.94 Np,-1.9 Pu,-1.72 Am,-1.76 Cm,-1.76 Bk,-1.76 Cf,-1.76 Es,-1.76 Fm,-1.76 Md,-1.76 No,-1.76 Lr,-1.76 \ No newline at end of file +H,-4.28 Li,-1.13 Na,-1.05 K,-0.87 Rb,-0.87 Cs,-0.83 Fr,-0.7 Be,-2.4 Mg,-1.78 Ca,-1.17 Sr,-1.08 Ba,-0.98 Ra,-1 B,-3.75 Al,-2.5 Ga,-3.05 In,-2.97 Tl,-2.53 C,-5.55 Si,-3.32 Ge,-3.65 Sn,-3.5 Pb,-4.73 N,-7.61 P,-4.24 As,-4.21 Sb,-3.78 Bi,-3.69 O,-9.53 S,-5.66 Se,-5.55 Te,-3.94 Po,-3.62 F,-12.47 Cl,-8.16 Br,-7.25 I,-5.98 At,-4.28 Sc,-1.9 Y,-1.59 La,-1.35 Ac,-1.35 Ti,-2.33 Zr,-1.83 Hf,-1.76 V,-2.56 Nb,-2.48 Ta,-2.23 Cr,-2.64 Mo,-4.14 W,-4.84 Mn,-2.35 Tc,-3.32 Re,-3.32 Fe,-3.11 Ru,-4.28 Os,-4.28 Co,-3.26 Rh,-4.55 Ir,-4.28 Ni,-3.35 Pd,-4.28 Pt,-4.55 Cu,-3.32 Ag,-3.41 Au,-5.51 Zn,-2.61 Cd,-2.72 Hg,-3.62 Ce,-1.39 Pr,-1.41 Nd,-1.43 Sm,-1.49 Gd,-1.55 Dy,-1.59 Ho,-1.61 Er,-1.63 Tm,-1.66 Lu,-1.7 Th,-1.76 Pa,-2.23 U,-1.94 Np,-1.9 Pu,-1.72 Am,-1.76 Cm,-1.76 Bk,-1.76 Cf,-1.76 Es,-1.76 Fm,-1.76 Md,-1.76 No,-1.76 Lr,-1.76 diff --git a/smact/data/oxidation_state_probability_table.json b/smact/data/oxidation_state_probability_table.json index 98c7ff91..cefe6a81 100644 --- a/smact/data/oxidation_state_probability_table.json +++ b/smact/data/oxidation_state_probability_table.json @@ -1 +1,1322 @@ -[["F-1", "Li1", 1.0], ["F-1", "Be2", 1.0], ["F-1", "Na1", 1.0], ["F-1", "Mg2", 1.0], ["F-1", "Al3", 1.0], ["F-1", "K1", 1.0], ["F-1", "Ca2", 1.0], ["F-1", "Sc1", 0.0], ["F-1", "Sc2", 0.0], ["F-1", "Sc3", 1.0], ["F-1", "Ti2", 0.0392156862745098], ["F-1", "Ti3", 0.35294117647058826], ["F-1", "Ti4", 0.6078431372549019], ["F-1", "V2", 0.21739130434782608], ["F-1", "V3", 0.45652173913043476], ["F-1", "V4", 0.17391304347826086], ["F-1", "V5", 0.15217391304347827], ["F-1", "Cr2", 0.13157894736842105], ["F-1", "Cr3", 0.5789473684210527], ["F-1", "Cr4", 0.19736842105263158], ["F-1", "Cr5", 0.09210526315789473], ["F-1", "Cr6", 0.0], ["F-1", "Mn1", 0.0], ["F-1", "Mn2", 0.47959183673469385], ["F-1", "Mn3", 0.41836734693877553], ["F-1", "Mn4", 0.10204081632653061], ["F-1", "Mn5", 0.0], ["F-1", "Mn6", 0.0], ["F-1", "Mn7", 0.0], ["F-1", "Fe1", 0.0], ["F-1", "Fe2", 0.23333333333333334], ["F-1", "Fe3", 0.7666666666666667], ["F-1", "Fe4", 0.0], ["F-1", "Co1", 0.0], ["F-1", "Co2", 0.6428571428571429], ["F-1", "Co3", 0.30952380952380953], ["F-1", "Co4", 0.047619047619047616], ["F-1", "Ni1", 0.0], ["F-1", "Ni2", 0.7288135593220338], ["F-1", "Ni3", 0.13559322033898305], ["F-1", "Ni4", 0.13559322033898305], ["F-1", "Cu1", 0.08080808080808081], ["F-1", "Cu2", 0.8686868686868687], ["F-1", "Cu3", 0.050505050505050504], ["F-1", "Zn2", 1.0], ["F-1", "Ga1", 0.0], ["F-1", "Ga2", 0.0], ["F-1", "Ga3", 1.0], ["F-1", "Ge2", 0.043478260869565216], ["F-1", "Ge3", 0.0], ["F-1", "Ge4", 0.9565217391304348], ["F-1", "Rb1", 1.0], ["F-1", "Sr2", 1.0], ["F-1", "Y1", 0.0], ["F-1", "Y2", 0.0], ["F-1", "Y3", 1.0], ["F-1", "Zr1", 0.0], ["F-1", "Zr2", 0.0], ["F-1", "Zr3", 0.0], ["F-1", "Zr4", 1.0], ["F-1", "Nb1", 0.0], ["F-1", "Nb2", 0.0], ["F-1", "Nb3", 0.08333333333333333], ["F-1", "Nb4", 0.19444444444444445], ["F-1", "Nb5", 0.7222222222222222], ["F-1", "Mo2", 0.0], ["F-1", "Mo3", 0.2972972972972973], ["F-1", "Mo4", 0.08108108108108109], ["F-1", "Mo5", 0.02702702702702703], ["F-1", "Mo6", 0.5945945945945946], ["F-1", "Ru2", 0.13333333333333333], ["F-1", "Ru3", 0.13333333333333333], ["F-1", "Ru4", 0.13333333333333333], ["F-1", "Ru5", 0.4666666666666667], ["F-1", "Ru6", 0.13333333333333333], ["F-1", "Rh1", 0.05], ["F-1", "Rh3", 0.4], ["F-1", "Rh4", 0.55], ["F-1", "Pd2", 0.7142857142857143], ["F-1", "Pd3", 0.047619047619047616], ["F-1", "Pd4", 0.23809523809523808], ["F-1", "Ag1", 0.4], ["F-1", "Ag2", 0.4666666666666667], ["F-1", "Ag3", 0.13333333333333333], ["F-1", "Cd2", 1.0], ["F-1", "In1", 0.045454545454545456], ["F-1", "In2", 0.0], ["F-1", "In3", 0.9545454545454546], ["F-1", "Sn2", 0.4430379746835443], ["F-1", "Sn3", 0.02531645569620253], ["F-1", "Sn4", 0.5316455696202531], ["F-1", "Sb3", 0.35036496350364965], ["F-1", "Sb4", 0.021897810218978103], ["F-1", "Sb5", 0.6131386861313869], ["F-1", "Cs1", 1.0], ["F-1", "Ba2", 1.0], ["F-1", "La1", 0.0], ["F-1", "La2", 0.0], ["F-1", "La3", 1.0], ["F-1", "Ce2", 0.0], ["F-1", "Ce3", 0.9375], ["F-1", "Ce4", 0.0625], ["F-1", "Pr2", 0.0], ["F-1", "Pr3", 1.0], ["F-1", "Nd2", 0.0], ["F-1", "Nd3", 1.0], ["F-1", "Sm2", 0.0], ["F-1", "Sm3", 1.0], ["F-1", "Eu2", 0.47368421052631576], ["F-1", "Eu3", 0.5263157894736842], ["F-1", "Gd2", 0.0], ["F-1", "Gd3", 1.0], ["F-1", "Tb1", 0.0], ["F-1", "Tb2", 0.0], ["F-1", "Tb3", 0.3684210526315789], ["F-1", "Tb4", 0.631578947368421], ["F-1", "Dy2", 0.0], ["F-1", "Dy3", 1.0], ["F-1", "Ho2", 0.0], ["F-1", "Ho3", 1.0], ["F-1", "Er3", 1.0], ["F-1", "Tm2", 0.0], ["F-1", "Tm3", 1.0], ["F-1", "Yb2", 0.26666666666666666], ["F-1", "Yb3", 0.7333333333333333], ["F-1", "Lu3", 1.0], ["F-1", "Hf2", 0.0], ["F-1", "Hf4", 1.0], ["F-1", "Ta1", 0.0], ["F-1", "Ta2", 0.0], ["F-1", "Ta3", 0.0], ["F-1", "Ta4", 0.0], ["F-1", "Ta5", 1.0], ["F-1", "W2", 0.0], ["F-1", "W3", 0.125], ["F-1", "W4", 0.0], ["F-1", "W5", 0.0], ["F-1", "W6", 0.875], ["F-1", "Re2", 0.0], ["F-1", "Re3", 0.0], ["F-1", "Re4", 0.08333333333333333], ["F-1", "Re5", 0.041666666666666664], ["F-1", "Re6", 0.25], ["F-1", "Re7", 0.625], ["F-1", "Ir3", 0.2], ["F-1", "Ir4", 0.5], ["F-1", "Ir5", 0.1], ["F-1", "Ir6", 0.2], ["F-1", "Hg1", 0.25], ["F-1", "Hg2", 0.75], ["F-1", "Tl1", 0.8444444444444444], ["F-1", "Tl3", 0.15555555555555556], ["F-1", "Pb2", 0.8888888888888888], ["F-1", "Pb4", 0.1111111111111111], ["F-1", "Bi1", 0.0], ["F-1", "Bi2", 0.0], ["F-1", "Bi3", 0.7142857142857143], ["F-1", "Bi5", 0.2857142857142857], ["F-1", "Th3", 0.0], ["F-1", "Th4", 1.0], ["F-1", "U2", 0.0], ["F-1", "U3", 0.034482758620689655], ["F-1", "U4", 0.41379310344827586], ["F-1", "U5", 0.1724137931034483], ["F-1", "U6", 0.3793103448275862], ["O-2", "Li1", 1.0], ["O-2", "Be2", 1.0], ["O-2", "Na1", 1.0], ["O-2", "Mg2", 1.0], ["O-2", "Al3", 1.0], ["O-2", "K1", 1.0], ["O-2", "Ca2", 1.0], ["O-2", "Sc1", 0.0], ["O-2", "Sc2", 0.014814814814814815], ["O-2", "Sc3", 0.9851851851851852], ["O-2", "Ti2", 0.0025188916876574307], ["O-2", "Ti3", 0.0982367758186398], ["O-2", "Ti4", 0.8992443324937027], ["O-2", "V2", 0.008368200836820083], ["O-2", "V3", 0.1297071129707113], ["O-2", "V4", 0.26778242677824265], ["O-2", "V5", 0.5941422594142259], ["O-2", "Cr2", 0.0960960960960961], ["O-2", "Cr3", 0.40540540540540543], ["O-2", "Cr4", 0.04804804804804805], ["O-2", "Cr5", 0.10510510510510511], ["O-2", "Cr6", 0.34534534534534533], ["O-2", "Mn1", 0.0], ["O-2", "Mn2", 0.5506216696269982], ["O-2", "Mn3", 0.22380106571936056], ["O-2", "Mn4", 0.19005328596802842], ["O-2", "Mn5", 0.019538188277087035], ["O-2", "Mn6", 0.007104795737122558], ["O-2", "Mn7", 0.008880994671403197], ["O-2", "Fe1", 0.0019193857965451055], ["O-2", "Fe2", 0.2399232245681382], ["O-2", "Fe3", 0.7428023032629558], ["O-2", "Fe4", 0.015355086372360844], ["O-2", "Co1", 0.0117096018735363], ["O-2", "Co2", 0.7634660421545667], ["O-2", "Co3", 0.16627634660421545], ["O-2", "Co4", 0.0585480093676815], ["O-2", "Ni1", 0.0033003300330033004], ["O-2", "Ni2", 0.8679867986798679], ["O-2", "Ni3", 0.10231023102310231], ["O-2", "Ni4", 0.026402640264026403], ["O-2", "Cu1", 0.145748987854251], ["O-2", "Cu2", 0.8205128205128205], ["O-2", "Cu3", 0.033738191632928474], ["O-2", "Zn2", 1.0], ["O-2", "Ga1", 0.004464285714285714], ["O-2", "Ga2", 0.0], ["O-2", "Ga3", 0.9955357142857143], ["O-2", "Ge2", 0.005763688760806916], ["O-2", "Ge3", 0.002881844380403458], ["O-2", "Ge4", 0.9769452449567724], ["O-2", "Rb1", 1.0], ["O-2", "Sr2", 1.0], ["O-2", "Y1", 0.0], ["O-2", "Y2", 0.004149377593360996], ["O-2", "Y3", 0.995850622406639], ["O-2", "Zr1", 0.0], ["O-2", "Zr2", 0.0], ["O-2", "Zr3", 0.0], ["O-2", "Zr4", 1.0], ["O-2", "Nb1", 0.0], ["O-2", "Nb2", 0.0029154518950437317], ["O-2", "Nb3", 0.043731778425655975], ["O-2", "Nb4", 0.061224489795918366], ["O-2", "Nb5", 0.892128279883382], ["O-2", "Mo2", 0.0], ["O-2", "Mo3", 0.02872531418312388], ["O-2", "Mo4", 0.059245960502693], ["O-2", "Mo5", 0.10771992818671454], ["O-2", "Mo6", 0.8043087971274686], ["O-2", "Ru2", 0.029940119760479042], ["O-2", "Ru3", 0.0718562874251497], ["O-2", "Ru4", 0.3413173652694611], ["O-2", "Ru5", 0.49700598802395207], ["O-2", "Ru6", 0.059880239520958084], ["O-2", "Rh1", 0.0], ["O-2", "Rh3", 0.6949152542372882], ["O-2", "Rh4", 0.3050847457627119], ["O-2", "Pd2", 0.881578947368421], ["O-2", "Pd3", 0.07894736842105263], ["O-2", "Pd4", 0.039473684210526314], ["O-2", "Ag1", 0.9866666666666667], ["O-2", "Ag2", 0.0044444444444444444], ["O-2", "Ag3", 0.008888888888888889], ["O-2", "Cd2", 1.0], ["O-2", "In1", 0.0], ["O-2", "In2", 0.017857142857142856], ["O-2", "In3", 0.9821428571428571], ["O-2", "Sn2", 0.2875], ["O-2", "Sn3", 0.00625], ["O-2", "Sn4", 0.70625], ["O-2", "Sb3", 0.321285140562249], ["O-2", "Sb4", 0.0], ["O-2", "Sb5", 0.5863453815261044], ["O-2", "Cs1", 1.0], ["O-2", 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0.025], ["O-2", "Th4", 0.975], ["O-2", "U2", 0.0], ["O-2", "U3", 0.010344827586206896], ["O-2", "U4", 0.07586206896551724], ["O-2", "U5", 0.07241379310344828], ["O-2", "U6", 0.8413793103448276], ["Cl-1", "Li1", 1.0], ["Cl-1", "Be2", 1.0], ["Cl-1", "Na1", 1.0], ["Cl-1", "Mg2", 1.0], ["Cl-1", "Al3", 1.0], ["Cl-1", "K1", 1.0], ["Cl-1", "Ca2", 1.0], ["Cl-1", "Sc1", 0.045454545454545456], ["Cl-1", "Sc2", 0.3181818181818182], ["Cl-1", "Sc3", 0.6363636363636364], ["Cl-1", "Ti2", 0.2727272727272727], ["Cl-1", "Ti3", 0.45454545454545453], ["Cl-1", "Ti4", 0.2727272727272727], ["Cl-1", "V2", 0.5], ["Cl-1", "V3", 0.2857142857142857], ["Cl-1", "V4", 0.14285714285714285], ["Cl-1", "V5", 0.07142857142857142], ["Cl-1", "Cr2", 0.5909090909090909], ["Cl-1", "Cr3", 0.4090909090909091], ["Cl-1", "Cr4", 0.0], ["Cl-1", "Cr5", 0.0], ["Cl-1", "Cr6", 0.0], ["Cl-1", "Mn1", 0.0], ["Cl-1", "Mn2", 0.9285714285714286], ["Cl-1", "Mn3", 0.0], ["Cl-1", "Mn4", 0.07142857142857142], ["Cl-1", "Mn5", 0.0], ["Cl-1", "Mn6", 0.0], ["Cl-1", "Mn7", 0.0], ["Cl-1", "Fe1", 0.0], ["Cl-1", "Fe2", 0.4375], ["Cl-1", "Fe3", 0.5625], ["Cl-1", "Fe4", 0.0], ["Cl-1", "Co1", 0.0], ["Cl-1", "Co2", 0.8148148148148148], ["Cl-1", "Co3", 0.18518518518518517], ["Cl-1", "Co4", 0.0], ["Cl-1", "Ni1", 0.0], ["Cl-1", "Ni2", 1.0], ["Cl-1", "Ni3", 0.0], ["Cl-1", "Ni4", 0.0], ["Cl-1", "Cu1", 0.4418604651162791], ["Cl-1", "Cu2", 0.5116279069767442], ["Cl-1", "Cu3", 0.046511627906976744], ["Cl-1", "Zn2", 1.0], ["Cl-1", "Ga1", 0.043478260869565216], ["Cl-1", "Ga2", 0.08695652173913043], ["Cl-1", "Ga3", 0.8695652173913043], ["Cl-1", "Ge2", 0.3333333333333333], ["Cl-1", "Ge3", 0.0], ["Cl-1", "Ge4", 0.5], ["Cl-1", "Rb1", 1.0], ["Cl-1", "Sr2", 1.0], ["Cl-1", "Y1", 0.1111111111111111], ["Cl-1", "Y2", 0.0], ["Cl-1", "Y3", 0.8888888888888888], ["Cl-1", "Zr1", 0.03333333333333333], ["Cl-1", "Zr2", 0.23333333333333334], ["Cl-1", "Zr3", 0.3], ["Cl-1", "Zr4", 0.43333333333333335], ["Cl-1", "Nb1", 0.0], ["Cl-1", "Nb2", 0.0], ["Cl-1", "Nb3", 0.3333333333333333], ["Cl-1", "Nb4", 0.16666666666666666], ["Cl-1", "Nb5", 0.5], ["Cl-1", "Mo2", 0.21621621621621623], ["Cl-1", "Mo3", 0.1891891891891892], ["Cl-1", "Mo4", 0.21621621621621623], ["Cl-1", "Mo5", 0.2702702702702703], ["Cl-1", "Mo6", 0.10810810810810811], ["Cl-1", "Ru2", 0.1], ["Cl-1", "Ru3", 0.6], ["Cl-1", "Ru4", 0.3], ["Cl-1", "Ru5", 0.0], ["Cl-1", "Ru6", 0.0], ["Cl-1", "Rh1", 0.0], ["Cl-1", "Rh3", 0.75], ["Cl-1", "Rh4", 0.25], ["Cl-1", "Pd2", 0.8387096774193549], ["Cl-1", "Pd3", 0.0], ["Cl-1", "Pd4", 0.16129032258064516], ["Cl-1", "Ag1", 0.9473684210526315], ["Cl-1", "Ag2", 0.05263157894736842], ["Cl-1", "Ag3", 0.0], ["Cl-1", "Cd2", 1.0], ["Cl-1", "In1", 0.4166666666666667], ["Cl-1", "In2", 0.08333333333333333], ["Cl-1", "In3", 0.5], ["Cl-1", "Sn2", 0.4166666666666667], ["Cl-1", "Sn3", 0.0], ["Cl-1", "Sn4", 0.5833333333333334], ["Cl-1", "Sb3", 0.3181818181818182], ["Cl-1", "Sb4", 0.0], ["Cl-1", "Sb5", 0.5681818181818182], ["Cl-1", "Cs1", 1.0], ["Cl-1", "Ba2", 1.0], ["Cl-1", "La1", 0.0], ["Cl-1", "La2", 0.05], ["Cl-1", "La3", 0.95], ["Cl-1", "Ce2", 0.0], ["Cl-1", "Ce3", 0.875], ["Cl-1", "Ce4", 0.125], ["Cl-1", "Pr2", 0.0], ["Cl-1", "Pr3", 1.0], ["Cl-1", "Nd2", 0.0], ["Cl-1", "Nd3", 1.0], ["Cl-1", "Sm2", 0.3333333333333333], ["Cl-1", "Sm3", 0.6666666666666666], ["Cl-1", "Eu2", 0.4444444444444444], ["Cl-1", "Eu3", 0.5555555555555556], ["Cl-1", "Gd2", 0.16666666666666666], ["Cl-1", "Gd3", 0.8333333333333334], ["Cl-1", "Tb1", 0.2], ["Cl-1", "Tb2", 0.0], ["Cl-1", "Tb3", 0.8], ["Cl-1", "Tb4", 0.0], ["Cl-1", "Dy2", 0.0], ["Cl-1", "Dy3", 1.0], ["Cl-1", "Ho2", 0.0], ["Cl-1", "Ho3", 1.0], ["Cl-1", "Er3", 1.0], ["Cl-1", "Tm2", 0.0], ["Cl-1", "Tm3", 1.0], ["Cl-1", "Yb2", 0.5], ["Cl-1", "Yb3", 0.5], ["Cl-1", "Lu3", 1.0], ["Cl-1", "Hf2", 0.2857142857142857], ["Cl-1", "Hf4", 0.7142857142857143], ["Cl-1", "Ta1", 0.0], ["Cl-1", "Ta2", 0.0], ["Cl-1", "Ta3", 0.08695652173913043], ["Cl-1", "Ta4", 0.2608695652173913], ["Cl-1", "Ta5", 0.6521739130434783], ["Cl-1", "W2", 0.1111111111111111], ["Cl-1", "W3", 0.2222222222222222], ["Cl-1", "W4", 0.2777777777777778], ["Cl-1", "W5", 0.16666666666666666], ["Cl-1", "W6", 0.2222222222222222], ["Cl-1", "Re2", 0.03225806451612903], ["Cl-1", "Re3", 0.3225806451612903], ["Cl-1", "Re4", 0.3225806451612903], ["Cl-1", "Re5", 0.22580645161290322], ["Cl-1", "Re6", 0.03225806451612903], ["Cl-1", "Re7", 0.06451612903225806], ["Cl-1", "Ir3", 0.6666666666666666], ["Cl-1", "Ir4", 0.16666666666666666], ["Cl-1", "Ir5", 0.16666666666666666], ["Cl-1", "Ir6", 0.0], ["Cl-1", "Hg1", 0.020833333333333332], ["Cl-1", "Hg2", 0.9791666666666666], ["Cl-1", "Tl1", 0.875], ["Cl-1", "Tl3", 0.125], ["Cl-1", "Pb2", 0.8125], ["Cl-1", "Pb4", 0.1875], ["Cl-1", "Bi1", 0.0], ["Cl-1", "Bi2", 0.04], ["Cl-1", "Bi3", 0.96], ["Cl-1", "Bi5", 0.0], ["Cl-1", "Th3", 0.0], ["Cl-1", "Th4", 1.0], ["Cl-1", "U2", 0.0], ["Cl-1", "U3", 0.26666666666666666], ["Cl-1", "U4", 0.4], ["Cl-1", "U5", 0.26666666666666666], ["Cl-1", "U6", 0.06666666666666667], ["Br-1", "Li1", 1.0], ["Br-1", "Be2", 1.0], ["Br-1", "Na1", 1.0], ["Br-1", "Mg2", 1.0], ["Br-1", "Al3", 1.0], ["Br-1", "K1", 1.0], ["Br-1", "Ca2", 1.0], ["Br-1", "Sc1", 0.0], ["Br-1", "Sc2", 0.5], ["Br-1", "Sc3", 0.5], ["Br-1", "Ti2", 0.5], ["Br-1", "Ti3", 0.3333333333333333], ["Br-1", "Ti4", 0.16666666666666666], ["Br-1", "V2", 0.8333333333333334], ["Br-1", "V3", 0.16666666666666666], ["Br-1", "V4", 0.0], ["Br-1", "V5", 0.0], ["Br-1", "Cr2", 0.42857142857142855], ["Br-1", "Cr3", 0.5714285714285714], ["Br-1", "Cr4", 0.0], ["Br-1", "Cr5", 0.0], ["Br-1", "Cr6", 0.0], ["Br-1", "Mn1", 0.0], ["Br-1", "Mn2", 1.0], ["Br-1", "Mn3", 0.0], ["Br-1", "Mn4", 0.0], ["Br-1", "Mn5", 0.0], ["Br-1", "Mn6", 0.0], ["Br-1", "Mn7", 0.0], ["Br-1", "Fe1", 0.0], ["Br-1", "Fe2", 0.4444444444444444], ["Br-1", "Fe3", 0.5555555555555556], ["Br-1", "Fe4", 0.0], ["Br-1", "Co1", 0.0], ["Br-1", "Co2", 1.0], ["Br-1", "Co3", 0.0], ["Br-1", "Co4", 0.0], ["Br-1", "Ni1", 0.0], ["Br-1", "Ni2", 1.0], ["Br-1", "Ni3", 0.0], ["Br-1", "Ni4", 0.0], ["Br-1", "Cu1", 0.7391304347826086], ["Br-1", "Cu2", 0.17391304347826086], ["Br-1", "Cu3", 0.08695652173913043], ["Br-1", "Zn2", 1.0], ["Br-1", "Ga1", 0.0], ["Br-1", "Ga2", 0.1], ["Br-1", "Ga3", 0.9], ["Br-1", "Ge2", 0.5555555555555556], ["Br-1", "Ge3", 0.0], ["Br-1", "Ge4", 0.3333333333333333], ["Br-1", "Rb1", 1.0], ["Br-1", "Sr2", 1.0], ["Br-1", "Y1", 0.0], ["Br-1", "Y2", 0.0], ["Br-1", "Y3", 1.0], ["Br-1", "Zr1", 0.1111111111111111], ["Br-1", "Zr2", 0.2222222222222222], ["Br-1", "Zr3", 0.3333333333333333], ["Br-1", "Zr4", 0.3333333333333333], ["Br-1", "Nb1", 0.0], ["Br-1", "Nb2", 0.058823529411764705], ["Br-1", "Nb3", 0.35294117647058826], ["Br-1", "Nb4", 0.11764705882352941], ["Br-1", "Nb5", 0.47058823529411764], ["Br-1", "Mo2", 0.5], ["Br-1", "Mo3", 0.4166666666666667], ["Br-1", "Mo4", 0.08333333333333333], ["Br-1", "Mo5", 0.0], ["Br-1", "Mo6", 0.0], ["Br-1", "Ru2", 0.0], ["Br-1", "Ru3", 1.0], ["Br-1", "Ru4", 0.0], ["Br-1", "Ru5", 0.0], ["Br-1", "Ru6", 0.0], ["Br-1", "Rh1", 0.5], ["Br-1", "Rh3", 0.5], ["Br-1", "Rh4", 0.0], ["Br-1", "Pd2", 0.5384615384615384], ["Br-1", "Pd3", 0.15384615384615385], ["Br-1", "Pd4", 0.3076923076923077], ["Br-1", "Ag1", 1.0], ["Br-1", "Ag2", 0.0], ["Br-1", "Ag3", 0.0], ["Br-1", "Cd2", 1.0], ["Br-1", "In1", 0.43478260869565216], ["Br-1", "In2", 0.2608695652173913], ["Br-1", "In3", 0.30434782608695654], ["Br-1", "Sn2", 0.625], ["Br-1", "Sn3", 0.0], ["Br-1", "Sn4", 0.375], ["Br-1", "Sb3", 0.7777777777777778], ["Br-1", "Sb4", 0.0], ["Br-1", "Sb5", 0.0], ["Br-1", "Cs1", 1.0], ["Br-1", "Ba2", 1.0], ["Br-1", "La1", 0.05], ["Br-1", "La2", 0.2], ["Br-1", "La3", 0.75], ["Br-1", "Ce2", 0.0], ["Br-1", "Ce3", 1.0], ["Br-1", "Ce4", 0.0], ["Br-1", "Pr2", 0.125], ["Br-1", "Pr3", 0.875], ["Br-1", "Nd2", 0.0], ["Br-1", "Nd3", 1.0], ["Br-1", "Sm2", 0.0], ["Br-1", "Sm3", 1.0], ["Br-1", "Eu2", 1.0], ["Br-1", "Eu3", 0.0], ["Br-1", "Gd2", 0.2], ["Br-1", "Gd3", 0.8], ["Br-1", "Tb1", 0.14285714285714285], ["Br-1", "Tb2", 0.14285714285714285], ["Br-1", "Tb3", 0.7142857142857143], ["Br-1", "Tb4", 0.0], ["Br-1", "Dy2", 0.0], ["Br-1", "Dy3", 1.0], ["Br-1", "Ho2", 0.0], ["Br-1", "Ho3", 0.0], ["Br-1", "Er3", 1.0], ["Br-1", "Tm2", 0.0], ["Br-1", "Tm3", 1.0], ["Br-1", "Yb2", 0.8], ["Br-1", "Yb3", 0.2], ["Br-1", "Lu3", 1.0], ["Br-1", "Hf2", 0.0], ["Br-1", "Hf4", 0.0], ["Br-1", "Ta1", 0.0], ["Br-1", "Ta2", 0.0], ["Br-1", "Ta3", 0.2], ["Br-1", "Ta4", 0.2], ["Br-1", "Ta5", 0.6], ["Br-1", "W2", 0.4166666666666667], ["Br-1", "W3", 0.08333333333333333], ["Br-1", "W4", 0.16666666666666666], ["Br-1", "W5", 0.16666666666666666], ["Br-1", "W6", 0.16666666666666666], ["Br-1", "Re2", 0.0], ["Br-1", "Re3", 0.5454545454545454], ["Br-1", "Re4", 0.09090909090909091], ["Br-1", "Re5", 0.18181818181818182], ["Br-1", "Re6", 0.09090909090909091], ["Br-1", "Re7", 0.09090909090909091], ["Br-1", "Ir3", 1.0], ["Br-1", "Ir4", 0.0], ["Br-1", "Ir5", 0.0], ["Br-1", "Ir6", 0.0], ["Br-1", "Hg1", 0.023809523809523808], ["Br-1", "Hg2", 0.9761904761904762], ["Br-1", "Tl1", 0.9047619047619048], ["Br-1", "Tl3", 0.09523809523809523], ["Br-1", "Pb2", 1.0], ["Br-1", "Pb4", 0.0], ["Br-1", "Bi1", 0.1], ["Br-1", "Bi2", 0.1], ["Br-1", "Bi3", 0.75], ["Br-1", "Bi5", 0.0], ["Br-1", "Th3", 0.14285714285714285], ["Br-1", "Th4", 0.8571428571428571], ["Br-1", "U2", 0.0], ["Br-1", "U3", 0.25], ["Br-1", "U4", 0.625], ["Br-1", "U5", 0.125], ["Br-1", "U6", 0.0], ["I-1", "Li1", 1.0], ["I-1", "Be2", 1.0], ["I-1", "Na1", 1.0], ["I-1", "Mg2", 1.0], ["I-1", "Al3", 1.0], ["I-1", "K1", 1.0], ["I-1", "Ca2", 1.0], ["I-1", "Sc1", 0.0], ["I-1", "Sc2", 0.5], ["I-1", "Sc3", 0.5], ["I-1", "Ti2", 0.5], ["I-1", "Ti3", 0.3333333333333333], ["I-1", "Ti4", 0.16666666666666666], ["I-1", "V2", 1.0], ["I-1", "V3", 0.0], ["I-1", "V4", 0.0], ["I-1", "V5", 0.0], ["I-1", "Cr2", 0.7777777777777778], ["I-1", "Cr3", 0.2222222222222222], ["I-1", "Cr4", 0.0], ["I-1", "Cr5", 0.0], ["I-1", "Cr6", 0.0], ["I-1", "Mn1", 0.14285714285714285], ["I-1", "Mn2", 0.8571428571428571], ["I-1", "Mn3", 0.0], ["I-1", "Mn4", 0.0], ["I-1", "Mn5", 0.0], ["I-1", "Mn6", 0.0], ["I-1", "Mn7", 0.0], ["I-1", "Fe1", 0.0], ["I-1", "Fe2", 0.8], ["I-1", "Fe3", 0.2], ["I-1", "Fe4", 0.0], ["I-1", "Co1", 0.0], ["I-1", "Co2", 1.0], ["I-1", "Co3", 0.0], ["I-1", "Co4", 0.0], ["I-1", "Ni1", 0.0], ["I-1", "Ni2", 1.0], ["I-1", "Ni3", 0.0], ["I-1", "Ni4", 0.0], ["I-1", "Cu1", 0.9473684210526315], ["I-1", "Cu2", 0.0], ["I-1", "Cu3", 0.05263157894736842], ["I-1", "Zn2", 1.0], ["I-1", "Ga1", 0.0], ["I-1", "Ga2", 0.2], ["I-1", "Ga3", 0.8], ["I-1", "Ge2", 0.5], ["I-1", "Ge3", 0.0], ["I-1", "Ge4", 0.16666666666666666], ["I-1", "Rb1", 1.0], ["I-1", "Sr2", 1.0], ["I-1", "Y1", 0.0], ["I-1", "Y2", 0.0], ["I-1", "Y3", 1.0], ["I-1", "Zr1", 0.0], ["I-1", "Zr2", 0.3076923076923077], ["I-1", "Zr3", 0.5384615384615384], ["I-1", "Zr4", 0.15384615384615385], ["I-1", "Nb1", 0.0], ["I-1", "Nb2", 0.1111111111111111], ["I-1", "Nb3", 0.2777777777777778], ["I-1", "Nb4", 0.1111111111111111], ["I-1", "Nb5", 0.5], ["I-1", "Mo2", 0.5], ["I-1", "Mo3", 0.25], ["I-1", "Mo4", 0.25], ["I-1", "Mo5", 0.0], ["I-1", "Mo6", 0.0], ["I-1", "Ru2", 0.0], ["I-1", "Ru3", 0.0], ["I-1", "Ru4", 0.0], ["I-1", "Ru5", 0.0], ["I-1", "Ru6", 0.0], ["I-1", "Rh1", 0.0], ["I-1", "Rh3", 0.0], ["I-1", "Rh4", 0.0], ["I-1", "Pd2", 0.3333333333333333], ["I-1", "Pd3", 0.2222222222222222], ["I-1", "Pd4", 0.4444444444444444], ["I-1", "Ag1", 1.0], ["I-1", "Ag2", 0.0], ["I-1", "Ag3", 0.0], ["I-1", "Cd2", 1.0], ["I-1", "In1", 0.5], ["I-1", "In2", 0.05555555555555555], ["I-1", "In3", 0.4444444444444444], ["I-1", "Sn2", 0.8], ["I-1", "Sn3", 0.0], ["I-1", "Sn4", 0.2], ["I-1", "Sb3", 0.7647058823529411], ["I-1", "Sb4", 0.0], ["I-1", "Sb5", 0.0], ["I-1", "Cs1", 1.0], ["I-1", "Ba2", 1.0], ["I-1", "La1", 0.043478260869565216], ["I-1", "La2", 0.34782608695652173], ["I-1", "La3", 0.6086956521739131], ["I-1", "Ce2", 0.5], ["I-1", "Ce3", 0.5], ["I-1", "Ce4", 0.0], ["I-1", "Pr2", 0.16666666666666666], ["I-1", "Pr3", 0.8333333333333334], ["I-1", "Nd2", 0.6666666666666666], ["I-1", "Nd3", 0.3333333333333333], ["I-1", "Sm2", 0.3333333333333333], ["I-1", "Sm3", 0.6666666666666666], ["I-1", "Eu2", 1.0], ["I-1", "Eu3", 0.0], ["I-1", "Gd2", 0.5], ["I-1", "Gd3", 0.5], ["I-1", "Tb1", 0.0], ["I-1", "Tb2", 0.0], ["I-1", "Tb3", 1.0], ["I-1", "Tb4", 0.0], ["I-1", "Dy2", 0.3333333333333333], ["I-1", "Dy3", 0.6666666666666666], ["I-1", "Ho2", 0.0], ["I-1", "Ho3", 1.0], ["I-1", "Er3", 1.0], ["I-1", "Tm2", 0.6666666666666666], ["I-1", "Tm3", 0.3333333333333333], ["I-1", "Yb2", 1.0], ["I-1", "Yb3", 0.0], ["I-1", "Lu3", 0.0], ["I-1", "Hf2", 0.0], ["I-1", "Hf4", 1.0], ["I-1", "Ta1", 0.0], ["I-1", "Ta2", 0.0], ["I-1", "Ta3", 0.2222222222222222], ["I-1", "Ta4", 0.1111111111111111], ["I-1", "Ta5", 0.6666666666666666], ["I-1", "W2", 0.0], ["I-1", "W3", 0.0], ["I-1", "W4", 0.0], ["I-1", "W5", 0.0], ["I-1", "W6", 0.0], ["I-1", "Re2", 0.0], ["I-1", "Re3", 0.6], ["I-1", "Re4", 0.2], ["I-1", "Re5", 0.2], ["I-1", "Re6", 0.0], ["I-1", "Re7", 0.0], ["I-1", "Ir3", 0.0], ["I-1", "Ir4", 0.0], ["I-1", "Ir5", 0.0], ["I-1", "Ir6", 0.0], ["I-1", "Hg1", 0.02857142857142857], ["I-1", "Hg2", 0.9714285714285714], ["I-1", "Tl1", 0.9642857142857143], ["I-1", "Tl3", 0.03571428571428571], ["I-1", "Pb2", 1.0], ["I-1", "Pb4", 0.0], ["I-1", "Bi1", 0.125], ["I-1", "Bi2", 0.0625], ["I-1", "Bi3", 0.8125], ["I-1", "Bi5", 0.0], ["I-1", "Th3", 0.0], ["I-1", "Th4", 1.0], ["I-1", "U2", 0.0], ["I-1", "U3", 0.2857142857142857], ["I-1", "U4", 0.7142857142857143], ["I-1", "U5", 0.0], ["I-1", "U6", 0.0], ["S-2", "Li1", 1.0], ["S-2", "Be2", 1.0], ["S-2", "Na1", 1.0], ["S-2", "Mg2", 1.0], ["S-2", "Al3", 1.0], ["S-2", "K1", 1.0], ["S-2", "Ca2", 1.0], ["S-2", "Sc1", 0.0], ["S-2", "Sc2", 0.05263157894736842], ["S-2", "Sc3", 0.9473684210526315], ["S-2", "Ti2", 0.03125], ["S-2", "Ti3", 0.28125], ["S-2", "Ti4", 0.6875], ["S-2", "V2", 0.10204081632653061], ["S-2", "V3", 0.32653061224489793], ["S-2", "V4", 0.3673469387755102], ["S-2", "V5", 0.20408163265306123], ["S-2", "Cr2", 0.15789473684210525], ["S-2", "Cr3", 0.8070175438596491], ["S-2", "Cr4", 0.03508771929824561], ["S-2", "Cr5", 0.0], ["S-2", "Cr6", 0.0], ["S-2", "Mn1", 0.0], ["S-2", "Mn2", 0.9423076923076923], ["S-2", "Mn3", 0.038461538461538464], ["S-2", "Mn4", 0.019230769230769232], ["S-2", "Mn5", 0.0], ["S-2", "Mn6", 0.0], ["S-2", "Mn7", 0.0], ["S-2", "Fe1", 0.0], ["S-2", "Fe2", 0.47058823529411764], ["S-2", "Fe3", 0.5098039215686274], ["S-2", "Fe4", 0.0196078431372549], ["S-2", "Co1", 0.0], ["S-2", "Co2", 0.6333333333333333], ["S-2", "Co3", 0.26666666666666666], ["S-2", "Co4", 0.1], ["S-2", "Ni1", 0.0], ["S-2", "Ni2", 0.7407407407407407], ["S-2", "Ni3", 0.25925925925925924], ["S-2", "Ni4", 0.0], ["S-2", "Cu1", 0.8060344827586207], ["S-2", "Cu2", 0.1939655172413793], ["S-2", "Cu3", 0.0], ["S-2", "Zn2", 1.0], ["S-2", "Ga1", 0.0], ["S-2", "Ga2", 0.05555555555555555], ["S-2", "Ga3", 0.9444444444444444], ["S-2", "Ge2", 0.030927835051546393], ["S-2", "Ge3", 0.041237113402061855], ["S-2", "Ge4", 0.9175257731958762], ["S-2", "Rb1", 1.0], ["S-2", "Sr2", 1.0], ["S-2", "Y1", 0.0], ["S-2", "Y2", 0.0], ["S-2", "Y3", 1.0], ["S-2", "Zr1", 0.0], ["S-2", "Zr2", 0.125], ["S-2", "Zr3", 0.041666666666666664], ["S-2", "Zr4", 0.8333333333333334], ["S-2", "Nb1", 0.0], ["S-2", "Nb2", 0.10638297872340426], ["S-2", "Nb3", 0.1702127659574468], ["S-2", "Nb4", 0.3829787234042553], ["S-2", "Nb5", 0.3404255319148936], ["S-2", "Mo2", 0.10526315789473684], ["S-2", "Mo3", 0.42105263157894735], ["S-2", "Mo4", 0.3157894736842105], ["S-2", "Mo5", 0.0], ["S-2", "Mo6", 0.15789473684210525], ["S-2", "Ru2", 0.0], ["S-2", "Ru3", 0.0], ["S-2", "Ru4", 1.0], ["S-2", "Ru5", 0.0], ["S-2", "Ru6", 0.0], ["S-2", "Rh1", 0.0], ["S-2", "Rh3", 0.8], ["S-2", "Rh4", 0.2], ["S-2", "Pd2", 1.0], ["S-2", "Pd3", 0.0], ["S-2", "Pd4", 0.0], ["S-2", "Ag1", 0.9919354838709677], ["S-2", "Ag2", 0.008064516129032258], ["S-2", "Ag3", 0.0], ["S-2", "Cd2", 1.0], ["S-2", "In1", 0.02666666666666667], ["S-2", "In2", 0.04], ["S-2", "In3", 0.9333333333333333], ["S-2", "Sn2", 0.3229166666666667], ["S-2", "Sn3", 0.041666666666666664], ["S-2", "Sn4", 0.6354166666666666], ["S-2", "Sb3", 0.8271604938271605], ["S-2", "Sb4", 0.0], ["S-2", "Sb5", 0.12345679012345678], ["S-2", "Cs1", 1.0], ["S-2", "Ba2", 1.0], ["S-2", "La1", 0.0], ["S-2", "La2", 0.04081632653061224], ["S-2", "La3", 0.9591836734693877], ["S-2", "Ce2", 0.023809523809523808], ["S-2", "Ce3", 0.9285714285714286], ["S-2", "Ce4", 0.047619047619047616], ["S-2", "Pr2", 0.041666666666666664], ["S-2", "Pr3", 0.9583333333333334], ["S-2", "Nd2", 0.058823529411764705], ["S-2", "Nd3", 0.9411764705882353], ["S-2", "Sm2", 0.029411764705882353], ["S-2", "Sm3", 0.9705882352941176], ["S-2", "Eu2", 0.9166666666666666], ["S-2", "Eu3", 0.08333333333333333], ["S-2", "Gd2", 0.05], ["S-2", "Gd3", 0.95], ["S-2", "Tb1", 0.0], ["S-2", "Tb2", 0.05555555555555555], ["S-2", "Tb3", 0.9444444444444444], ["S-2", "Tb4", 0.0], ["S-2", "Dy2", 0.045454545454545456], ["S-2", "Dy3", 0.9545454545454546], ["S-2", "Ho2", 0.05263157894736842], ["S-2", "Ho3", 0.9473684210526315], ["S-2", "Er3", 1.0], ["S-2", "Tm2", 0.05555555555555555], ["S-2", "Tm3", 0.9444444444444444], ["S-2", "Yb2", 0.3333333333333333], ["S-2", "Yb3", 0.6666666666666666], ["S-2", "Lu3", 1.0], ["S-2", "Hf2", 0.07692307692307693], ["S-2", "Hf4", 0.9230769230769231], ["S-2", "Ta1", 0.022222222222222223], ["S-2", "Ta2", 0.08888888888888889], ["S-2", "Ta3", 0.022222222222222223], ["S-2", "Ta4", 0.3333333333333333], ["S-2", "Ta5", 0.5333333333333333], ["S-2", "W2", 0.0], ["S-2", "W3", 0.0], ["S-2", "W4", 0.2857142857142857], ["S-2", "W5", 0.0], ["S-2", "W6", 0.7142857142857143], ["S-2", "Re2", 0.0], ["S-2", "Re3", 0.6], ["S-2", "Re4", 0.4], ["S-2", "Re5", 0.0], ["S-2", "Re6", 0.0], ["S-2", "Re7", 0.0], ["S-2", "Ir3", 0.5], ["S-2", "Ir4", 0.5], ["S-2", "Ir5", 0.0], ["S-2", "Ir6", 0.0], ["S-2", "Hg1", 0.0], ["S-2", "Hg2", 1.0], ["S-2", "Tl1", 0.9887640449438202], ["S-2", "Tl3", 0.011235955056179775], ["S-2", "Pb2", 1.0], ["S-2", "Pb4", 0.0], ["S-2", "Bi1", 0.0], ["S-2", "Bi2", 0.04918032786885246], ["S-2", "Bi3", 0.9508196721311475], ["S-2", "Bi5", 0.0], ["S-2", "Th3", 0.08333333333333333], ["S-2", "Th4", 0.9166666666666666], ["S-2", "U2", 0.027777777777777776], ["S-2", "U3", 0.1388888888888889], ["S-2", "U4", 0.7777777777777778], ["S-2", "U5", 0.027777777777777776], ["S-2", "U6", 0.027777777777777776], ["Se-2", "Li1", 1.0], ["Se-2", "Be2", 1.0], ["Se-2", "Na1", 1.0], ["Se-2", "Mg2", 1.0], ["Se-2", "Al3", 1.0], ["Se-2", "K1", 1.0], ["Se-2", "Ca2", 1.0], ["Se-2", "Sc1", 0.0], ["Se-2", "Sc2", 0.14285714285714285], ["Se-2", "Sc3", 0.8571428571428571], ["Se-2", "Ti2", 0.13333333333333333], ["Se-2", "Ti3", 0.4], ["Se-2", "Ti4", 0.4666666666666667], ["Se-2", "V2", 0.1111111111111111], ["Se-2", "V3", 0.5], ["Se-2", "V4", 0.2222222222222222], ["Se-2", "V5", 0.16666666666666666], ["Se-2", "Cr2", 0.07692307692307693], ["Se-2", "Cr3", 0.9230769230769231], ["Se-2", "Cr4", 0.0], ["Se-2", "Cr5", 0.0], ["Se-2", "Cr6", 0.0], ["Se-2", "Mn1", 0.0], ["Se-2", "Mn2", 0.9285714285714286], ["Se-2", "Mn3", 0.07142857142857142], ["Se-2", "Mn4", 0.0], ["Se-2", "Mn5", 0.0], ["Se-2", "Mn6", 0.0], ["Se-2", "Mn7", 0.0], ["Se-2", "Fe1", 0.0], ["Se-2", "Fe2", 0.47058823529411764], ["Se-2", "Fe3", 0.5294117647058824], ["Se-2", "Fe4", 0.0], ["Se-2", "Co1", 0.0], ["Se-2", "Co2", 0.631578947368421], ["Se-2", "Co3", 0.2631578947368421], ["Se-2", "Co4", 0.10526315789473684], ["Se-2", "Ni1", 0.05263157894736842], ["Se-2", "Ni2", 0.7894736842105263], ["Se-2", "Ni3", 0.15789473684210525], ["Se-2", "Ni4", 0.0], ["Se-2", "Cu1", 0.8391608391608392], ["Se-2", "Cu2", 0.16083916083916083], ["Se-2", "Cu3", 0.0], ["Se-2", "Zn2", 1.0], ["Se-2", "Ga1", 0.0], ["Se-2", "Ga2", 0.1111111111111111], ["Se-2", "Ga3", 0.8888888888888888], ["Se-2", "Ge2", 0.07017543859649122], ["Se-2", "Ge3", 0.08771929824561403], ["Se-2", "Ge4", 0.8421052631578947], ["Se-2", "Rb1", 1.0], ["Se-2", "Sr2", 1.0], ["Se-2", "Y1", 0.0], ["Se-2", "Y2", 0.0], ["Se-2", "Y3", 1.0], ["Se-2", "Zr1", 0.08333333333333333], ["Se-2", "Zr2", 0.0], ["Se-2", "Zr3", 0.0], ["Se-2", "Zr4", 0.9166666666666666], ["Se-2", "Nb1", 0.034482758620689655], ["Se-2", "Nb2", 0.0], ["Se-2", "Nb3", 0.20689655172413793], ["Se-2", "Nb4", 0.3103448275862069], ["Se-2", "Nb5", 0.4482758620689655], ["Se-2", "Mo2", 0.3], ["Se-2", "Mo3", 0.2], ["Se-2", "Mo4", 0.4], ["Se-2", "Mo5", 0.0], ["Se-2", "Mo6", 0.1], ["Se-2", "Ru2", 0.5], ["Se-2", "Ru3", 0.0], ["Se-2", "Ru4", 0.5], ["Se-2", "Ru5", 0.0], ["Se-2", "Ru6", 0.0], ["Se-2", "Rh1", 0.0], ["Se-2", "Rh3", 0.6666666666666666], ["Se-2", "Rh4", 0.3333333333333333], ["Se-2", "Pd2", 1.0], ["Se-2", "Pd3", 0.0], ["Se-2", "Pd4", 0.0], ["Se-2", "Ag1", 0.9850746268656716], ["Se-2", "Ag2", 0.014925373134328358], ["Se-2", "Ag3", 0.0], ["Se-2", "Cd2", 1.0], ["Se-2", "In1", 0.022727272727272728], ["Se-2", "In2", 0.06818181818181818], ["Se-2", "In3", 0.9090909090909091], ["Se-2", "Sn2", 0.25862068965517243], ["Se-2", "Sn3", 0.017241379310344827], ["Se-2", "Sn4", 0.7241379310344828], ["Se-2", "Sb3", 0.7586206896551724], ["Se-2", "Sb4", 0.0], ["Se-2", "Sb5", 0.13793103448275862], ["Se-2", "Cs1", 1.0], ["Se-2", "Ba2", 1.0], ["Se-2", "La1", 0.0], ["Se-2", "La2", 0.05555555555555555], ["Se-2", "La3", 0.9444444444444444], ["Se-2", "Ce2", 0.043478260869565216], ["Se-2", "Ce3", 0.9130434782608695], ["Se-2", "Ce4", 0.043478260869565216], ["Se-2", "Pr2", 0.06666666666666667], ["Se-2", "Pr3", 0.9333333333333333], ["Se-2", "Nd2", 0.06666666666666667], ["Se-2", "Nd3", 0.9333333333333333], ["Se-2", "Sm2", 0.05], ["Se-2", "Sm3", 0.95], ["Se-2", "Eu2", 1.0], ["Se-2", "Eu3", 0.0], ["Se-2", "Gd2", 0.08333333333333333], ["Se-2", "Gd3", 0.9166666666666666], ["Se-2", "Tb1", 0.0], ["Se-2", "Tb2", 0.058823529411764705], ["Se-2", "Tb3", 0.9411764705882353], ["Se-2", "Tb4", 0.0], ["Se-2", "Dy2", 0.06666666666666667], ["Se-2", "Dy3", 0.9333333333333333], ["Se-2", "Ho2", 0.07692307692307693], 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["S-2", "Re2", 0.0], + ["S-2", "Re3", 0.6], + ["S-2", "Re4", 0.4], + ["S-2", "Re5", 0.0], + ["S-2", "Re6", 0.0], + ["S-2", "Re7", 0.0], + ["S-2", "Ir3", 0.5], + ["S-2", "Ir4", 0.5], + ["S-2", "Ir5", 0.0], + ["S-2", "Ir6", 0.0], + ["S-2", "Hg1", 0.0], + ["S-2", "Hg2", 1.0], + ["S-2", "Tl1", 0.9887640449438202], + ["S-2", "Tl3", 0.011235955056179775], + ["S-2", "Pb2", 1.0], + ["S-2", "Pb4", 0.0], + ["S-2", "Bi1", 0.0], + ["S-2", "Bi2", 0.04918032786885246], + ["S-2", "Bi3", 0.9508196721311475], + ["S-2", "Bi5", 0.0], + ["S-2", "Th3", 0.08333333333333333], + ["S-2", "Th4", 0.9166666666666666], + ["S-2", "U2", 0.027777777777777776], + ["S-2", "U3", 0.1388888888888889], + ["S-2", "U4", 0.7777777777777778], + ["S-2", "U5", 0.027777777777777776], + ["S-2", "U6", 0.027777777777777776], + ["Se-2", "Li1", 1.0], + ["Se-2", "Be2", 1.0], + ["Se-2", "Na1", 1.0], + ["Se-2", "Mg2", 1.0], + ["Se-2", "Al3", 1.0], + ["Se-2", "K1", 1.0], + ["Se-2", "Ca2", 1.0], + ["Se-2", "Sc1", 0.0], + ["Se-2", "Sc2", 0.14285714285714285], + ["Se-2", "Sc3", 0.8571428571428571], + ["Se-2", "Ti2", 0.13333333333333333], + ["Se-2", "Ti3", 0.4], + ["Se-2", "Ti4", 0.4666666666666667], + ["Se-2", "V2", 0.1111111111111111], + ["Se-2", "V3", 0.5], + ["Se-2", "V4", 0.2222222222222222], + ["Se-2", "V5", 0.16666666666666666], + ["Se-2", "Cr2", 0.07692307692307693], + ["Se-2", "Cr3", 0.9230769230769231], + ["Se-2", "Cr4", 0.0], + ["Se-2", "Cr5", 0.0], + ["Se-2", "Cr6", 0.0], + ["Se-2", "Mn1", 0.0], + ["Se-2", "Mn2", 0.9285714285714286], + ["Se-2", "Mn3", 0.07142857142857142], + ["Se-2", "Mn4", 0.0], + ["Se-2", "Mn5", 0.0], + ["Se-2", "Mn6", 0.0], + ["Se-2", "Mn7", 0.0], + ["Se-2", "Fe1", 0.0], + ["Se-2", "Fe2", 0.47058823529411764], + ["Se-2", "Fe3", 0.5294117647058824], + ["Se-2", "Fe4", 0.0], + ["Se-2", "Co1", 0.0], + ["Se-2", "Co2", 0.631578947368421], + ["Se-2", "Co3", 0.2631578947368421], + ["Se-2", "Co4", 0.10526315789473684], + ["Se-2", "Ni1", 0.05263157894736842], + ["Se-2", "Ni2", 0.7894736842105263], + ["Se-2", "Ni3", 0.15789473684210525], + ["Se-2", "Ni4", 0.0], + ["Se-2", "Cu1", 0.8391608391608392], + ["Se-2", "Cu2", 0.16083916083916083], + ["Se-2", "Cu3", 0.0], + ["Se-2", "Zn2", 1.0], + ["Se-2", "Ga1", 0.0], + ["Se-2", "Ga2", 0.1111111111111111], + ["Se-2", "Ga3", 0.8888888888888888], + ["Se-2", "Ge2", 0.07017543859649122], + ["Se-2", "Ge3", 0.08771929824561403], + ["Se-2", "Ge4", 0.8421052631578947], + ["Se-2", "Rb1", 1.0], + ["Se-2", "Sr2", 1.0], + ["Se-2", "Y1", 0.0], + ["Se-2", "Y2", 0.0], + ["Se-2", "Y3", 1.0], + ["Se-2", "Zr1", 0.08333333333333333], + ["Se-2", "Zr2", 0.0], + ["Se-2", "Zr3", 0.0], + ["Se-2", "Zr4", 0.9166666666666666], + ["Se-2", "Nb1", 0.034482758620689655], + ["Se-2", "Nb2", 0.0], + ["Se-2", "Nb3", 0.20689655172413793], + ["Se-2", "Nb4", 0.3103448275862069], + ["Se-2", "Nb5", 0.4482758620689655], + ["Se-2", "Mo2", 0.3], + ["Se-2", "Mo3", 0.2], + ["Se-2", "Mo4", 0.4], + ["Se-2", "Mo5", 0.0], + ["Se-2", "Mo6", 0.1], + ["Se-2", "Ru2", 0.5], + ["Se-2", "Ru3", 0.0], + ["Se-2", "Ru4", 0.5], + ["Se-2", "Ru5", 0.0], + ["Se-2", "Ru6", 0.0], + ["Se-2", "Rh1", 0.0], + ["Se-2", "Rh3", 0.6666666666666666], + ["Se-2", "Rh4", 0.3333333333333333], + ["Se-2", "Pd2", 1.0], + ["Se-2", "Pd3", 0.0], + ["Se-2", "Pd4", 0.0], + ["Se-2", "Ag1", 0.9850746268656716], + ["Se-2", "Ag2", 0.014925373134328358], + ["Se-2", "Ag3", 0.0], + ["Se-2", "Cd2", 1.0], + ["Se-2", "In1", 0.022727272727272728], + ["Se-2", "In2", 0.06818181818181818], + ["Se-2", "In3", 0.9090909090909091], + ["Se-2", "Sn2", 0.25862068965517243], + ["Se-2", "Sn3", 0.017241379310344827], + ["Se-2", "Sn4", 0.7241379310344828], + ["Se-2", "Sb3", 0.7586206896551724], + ["Se-2", "Sb4", 0.0], + ["Se-2", "Sb5", 0.13793103448275862], + ["Se-2", "Cs1", 1.0], + ["Se-2", "Ba2", 1.0], + ["Se-2", "La1", 0.0], + ["Se-2", "La2", 0.05555555555555555], + ["Se-2", "La3", 0.9444444444444444], + ["Se-2", "Ce2", 0.043478260869565216], + ["Se-2", "Ce3", 0.9130434782608695], + ["Se-2", "Ce4", 0.043478260869565216], + ["Se-2", "Pr2", 0.06666666666666667], + ["Se-2", "Pr3", 0.9333333333333333], + ["Se-2", "Nd2", 0.06666666666666667], + ["Se-2", "Nd3", 0.9333333333333333], + ["Se-2", "Sm2", 0.05], + ["Se-2", "Sm3", 0.95], + ["Se-2", "Eu2", 1.0], + ["Se-2", "Eu3", 0.0], + ["Se-2", "Gd2", 0.08333333333333333], + ["Se-2", "Gd3", 0.9166666666666666], + ["Se-2", "Tb1", 0.0], + ["Se-2", "Tb2", 0.058823529411764705], + ["Se-2", "Tb3", 0.9411764705882353], + ["Se-2", "Tb4", 0.0], + ["Se-2", "Dy2", 0.06666666666666667], + ["Se-2", "Dy3", 0.9333333333333333], + ["Se-2", "Ho2", 0.07692307692307693], + ["Se-2", "Ho3", 0.9230769230769231], + ["Se-2", "Er3", 1.0], + ["Se-2", "Tm2", 0.1111111111111111], + ["Se-2", "Tm3", 0.8888888888888888], + ["Se-2", "Yb2", 0.3333333333333333], + ["Se-2", "Yb3", 0.6666666666666666], + ["Se-2", "Lu3", 1.0], + ["Se-2", "Hf2", 0.0], + ["Se-2", "Hf4", 1.0], + ["Se-2", "Ta1", 0.058823529411764705], + ["Se-2", "Ta2", 0.14705882352941177], + ["Se-2", "Ta3", 0.029411764705882353], + ["Se-2", "Ta4", 0.38235294117647056], + ["Se-2", "Ta5", 0.38235294117647056], + ["Se-2", "W2", 0.0], + ["Se-2", "W3", 0.0], + ["Se-2", "W4", 0.5], + ["Se-2", "W5", 0.0], + ["Se-2", "W6", 0.5], + ["Se-2", "Re2", 0.0], + ["Se-2", "Re3", 0.0], + ["Se-2", "Re4", 0.5], + ["Se-2", "Re5", 0.5], + ["Se-2", "Re6", 0.0], + ["Se-2", "Re7", 0.0], + ["Se-2", "Ir3", 0.0], + ["Se-2", "Ir4", 1.0], + ["Se-2", "Ir5", 0.0], + ["Se-2", "Ir6", 0.0], + ["Se-2", "Hg1", 0.0], + ["Se-2", "Hg2", 1.0], + ["Se-2", "Tl1", 0.9787234042553191], + ["Se-2", "Tl3", 0.02127659574468085], + ["Se-2", "Pb2", 1.0], + ["Se-2", "Pb4", 0.0], + ["Se-2", "Bi1", 0.0], + ["Se-2", "Bi2", 0.0967741935483871], + ["Se-2", "Bi3", 0.9032258064516129], + ["Se-2", "Bi5", 0.0], + ["Se-2", "Th3", 0.0], + ["Se-2", "Th4", 1.0], + ["Se-2", "U2", 0.05555555555555555], + ["Se-2", "U3", 0.05555555555555555], + ["Se-2", "U4", 0.8888888888888888], + ["Se-2", "U5", 0.0], + ["Se-2", "U6", 0.0], + ["Te-2", "Li1", 1.0], + ["Te-2", "Be2", 1.0], + ["Te-2", "Na1", 1.0], + ["Te-2", "Mg2", 1.0], + ["Te-2", "Al3", 1.0], + ["Te-2", "K1", 1.0], + ["Te-2", "Ca2", 1.0], + ["Te-2", "Sc1", 0.125], + ["Te-2", "Sc2", 0.125], + ["Te-2", "Sc3", 0.75], + ["Te-2", "Ti2", 0.25], + ["Te-2", "Ti3", 0.5], + ["Te-2", "Ti4", 0.25], + ["Te-2", "V2", 0.5], + ["Te-2", "V3", 0.25], + ["Te-2", "V4", 0.25], + ["Te-2", "V5", 0.0], + ["Te-2", "Cr2", 0.0], + ["Te-2", "Cr3", 1.0], + ["Te-2", "Cr4", 0.0], + ["Te-2", "Cr5", 0.0], + ["Te-2", "Cr6", 0.0], + ["Te-2", "Mn1", 0.0], + ["Te-2", "Mn2", 0.8823529411764706], + ["Te-2", "Mn3", 0.11764705882352941], + ["Te-2", "Mn4", 0.0], + ["Te-2", "Mn5", 0.0], + ["Te-2", "Mn6", 0.0], + ["Te-2", "Mn7", 0.0], + ["Te-2", "Fe1", 0.0], + ["Te-2", "Fe2", 0.75], + ["Te-2", "Fe3", 0.25], + ["Te-2", "Fe4", 0.0], + ["Te-2", "Co1", 0.0], + ["Te-2", "Co2", 0.8333333333333334], + ["Te-2", "Co3", 0.0], + ["Te-2", "Co4", 0.16666666666666666], + ["Te-2", "Ni1", 0.0], + ["Te-2", "Ni2", 0.8571428571428571], + ["Te-2", "Ni3", 0.14285714285714285], + ["Te-2", "Ni4", 0.0], + ["Te-2", "Cu1", 0.6764705882352942], + ["Te-2", "Cu2", 0.3235294117647059], + ["Te-2", "Cu3", 0.0], + ["Te-2", "Zn2", 1.0], + ["Te-2", "Ga1", 0.0], + ["Te-2", "Ga2", 0.1111111111111111], + ["Te-2", "Ga3", 0.8888888888888888], + ["Te-2", "Ge2", 0.7333333333333333], + ["Te-2", "Ge3", 0.06666666666666667], + ["Te-2", "Ge4", 0.2], + ["Te-2", "Rb1", 1.0], + ["Te-2", "Sr2", 1.0], + ["Te-2", "Y1", 0.0], + ["Te-2", "Y2", 0.0], + ["Te-2", "Y3", 1.0], + ["Te-2", "Zr1", 0.09090909090909091], + ["Te-2", "Zr2", 0.36363636363636365], + ["Te-2", "Zr3", 0.09090909090909091], + ["Te-2", "Zr4", 0.45454545454545453], + ["Te-2", "Nb1", 0.0], + ["Te-2", "Nb2", 0.25], + ["Te-2", "Nb3", 0.3333333333333333], + ["Te-2", "Nb4", 0.25], + ["Te-2", "Nb5", 0.16666666666666666], + ["Te-2", "Mo2", 0.0], + ["Te-2", "Mo3", 0.0], + ["Te-2", "Mo4", 0.0], + ["Te-2", "Mo5", 0.0], + ["Te-2", "Mo6", 0.0], + ["Te-2", "Ru2", 0.0], + ["Te-2", "Ru3", 0.0], + ["Te-2", "Ru4", 0.0], + ["Te-2", "Ru5", 0.0], + ["Te-2", "Ru6", 0.0], + ["Te-2", "Rh1", 0.0], + ["Te-2", "Rh3", 0.0], + ["Te-2", "Rh4", 0.0], + ["Te-2", "Pd2", 0.0], + ["Te-2", "Pd3", 0.0], + ["Te-2", "Pd4", 0.0], + ["Te-2", "Ag1", 1.0], + ["Te-2", "Ag2", 0.0], + ["Te-2", "Ag3", 0.0], + ["Te-2", "Cd2", 1.0], + ["Te-2", "In1", 0.045454545454545456], + ["Te-2", "In2", 0.09090909090909091], + ["Te-2", "In3", 0.8636363636363636], + ["Te-2", "Sn2", 0.36363636363636365], + ["Te-2", "Sn3", 0.0], + ["Te-2", "Sn4", 0.6363636363636364], + ["Te-2", "Sb3", 0.5263157894736842], + ["Te-2", "Sb4", 0.0], + ["Te-2", "Sb5", 0.0], + ["Te-2", "Cs1", 1.0], + ["Te-2", "Ba2", 1.0], + ["Te-2", "La1", 0.0], + ["Te-2", "La2", 0.16666666666666666], + ["Te-2", "La3", 0.8333333333333334], + ["Te-2", "Ce2", 0.2], + ["Te-2", "Ce3", 0.8], + ["Te-2", "Ce4", 0.0], + ["Te-2", "Pr2", 0.2857142857142857], + ["Te-2", "Pr3", 0.7142857142857143], + ["Te-2", "Nd2", 0.14285714285714285], + ["Te-2", "Nd3", 0.8571428571428571], + ["Te-2", "Sm2", 0.16666666666666666], + ["Te-2", "Sm3", 0.8333333333333334], + ["Te-2", "Eu2", 1.0], + ["Te-2", "Eu3", 0.0], + ["Te-2", "Gd2", 0.5], + ["Te-2", "Gd3", 0.5], + ["Te-2", "Tb1", 0.0], + ["Te-2", "Tb2", 0.2], + ["Te-2", "Tb3", 0.8], + ["Te-2", "Tb4", 0.0], + ["Te-2", "Dy2", 0.16666666666666666], + ["Te-2", "Dy3", 0.8333333333333334], + ["Te-2", "Ho2", 0.16666666666666666], + ["Te-2", "Ho3", 0.8333333333333334], + ["Te-2", "Er3", 1.0], + ["Te-2", "Tm2", 0.3333333333333333], + ["Te-2", "Tm3", 0.6666666666666666], + ["Te-2", "Yb2", 1.0], + ["Te-2", "Yb3", 0.0], + ["Te-2", "Lu3", 1.0], + ["Te-2", "Hf2", 0.0], + ["Te-2", "Hf4", 1.0], + ["Te-2", "Ta1", 0.11764705882352941], + ["Te-2", "Ta2", 0.29411764705882354], + ["Te-2", "Ta3", 0.17647058823529413], + ["Te-2", "Ta4", 0.11764705882352941], + ["Te-2", "Ta5", 0.29411764705882354], + ["Te-2", "W2", 0.0], + ["Te-2", "W3", 0.0], + ["Te-2", "W4", 0.0], + ["Te-2", "W5", 0.0], + ["Te-2", "W6", 0.0], + ["Te-2", "Re2", 0.0], + ["Te-2", "Re3", 0.0], + ["Te-2", "Re4", 0.0], + ["Te-2", "Re5", 1.0], + ["Te-2", "Re6", 0.0], + ["Te-2", "Re7", 0.0], + ["Te-2", "Ir3", 0.0], + ["Te-2", "Ir4", 0.0], + ["Te-2", "Ir5", 0.0], + ["Te-2", "Ir6", 0.0], + ["Te-2", "Hg1", 0.0], + ["Te-2", "Hg2", 1.0], + ["Te-2", "Tl1", 1.0], + ["Te-2", "Tl3", 0.0], + ["Te-2", "Pb2", 1.0], + ["Te-2", "Pb4", 0.0], + ["Te-2", "Bi1", 0.0], + ["Te-2", "Bi2", 0.08333333333333333], + ["Te-2", "Bi3", 0.9166666666666666], + ["Te-2", "Bi5", 0.0], + ["Te-2", "Th3", 0.0], + ["Te-2", "Th4", 1.0], + ["Te-2", "U2", 0.1111111111111111], + ["Te-2", "U3", 0.1111111111111111], + ["Te-2", "U4", 0.7777777777777778], + ["Te-2", "U5", 0.0], + ["Te-2", "U6", 0.0] +] diff --git a/smact/data/solid_properties.txt b/smact/data/solid_properties.txt index 57b1a943..864e3349 100644 --- a/smact/data/solid_properties.txt +++ b/smact/data/solid_properties.txt @@ -1 +1 @@ -Symbol # Element Covalent Radius (pm) Eigenval H 1 Hydrogen 32 He 2 Helium 93 Li 3 Lithium 123 Be 4 Beryllium 90 4.14 B 5 Boron 82 6.64 C 6 Carbon 77 8.97 N 7 Nitrogen 75 11.47 O 8 Oxygen 73 14.13 F 9 Fluorine 72 16.99 Ne 10 Neon 71 20 Na 11 Sodium 154 Mg 12 Magnesium 136 2.99 Al 13 Aluminum 118 4.86 Si 14 Silicon 111 6.52 P 15 Phosphorus 106 8.33 S 16 Sulfur 102 10.27 Cl 17 Chlorine 99 12.31 Ar 18 Argon 98 14.5 K 19 Potassium 203 Ca 20 Calcium 174 Sc 21 Scandium 144 9.35 Ti 22 Titanium 132 11.04 V 23 Vanadium 122 12.55 Cr 24 Chromium 118 13.94 Mn 25 Manganese 117 15.27 Fe 26 Iron 117 16.54 Co 27 Cobalt 116 17.77 Ni 28 Nickel 115 18.96 Cu(d) 29 Copper 117 6.92 Cu(p) 29 Copper 117 1.15 Zn 30 Zinc 125 3.38 Ga 31 Gallium 126 4.9 Ge 32 Germanium 122 6.36 As 33 Arsenic 120 7.91 Se 34 Selenium 116 9.53 Br 35 Bromine 114 11.2 Kr 36 Krypton 112 13 Rb 37 Rubidium 216 Sr 38 Strontium 191 Y 39 Yttrium 162 6.8 Zr 40 Zirconium 145 8.46 Nb 41 Niobium 134 10.03 Mo 42 Molybdenum 130 11.56 Tc 43 Technetium 127 13.08 Ru 44 Ruthenium 125 14.59 Rh 45 Rhodium 125 16.16 Pd 46 Palladium 128 17.66 Ag(d) 47 Silver 134 19.21 Ag(p) 47 Silver 134 2.05 Cd 48 Cadmium 148 3.38 In 49 Indium 144 4.69 Sn 50 Tin 141 5.94 Sb 51 Antimony 141 7.24 Te 52 Tellurium 136 8.59 I 53 Iodine 133 9.97 Xe 54 Xenon 131 11.4 Cs 55 Cesium 235 Ba 56 Barium 198 La 57 Lanthanum 169 Ce 58 Cerium 165 Pr 59 Praseodymium 165 Nd 60 Neodymium 164 Pm 61 Promethium 163 Sm 62 Samarium 162 Eu 63 Europium 185 Gd 64 Gadolinium 161 Tb 65 Terbium 159 Dy 66 Dysprosium 159 Ho 67 Holmium 158 Er 68 Erbium 157 Tm 69 Thulium 156 Yb 70 Ytterbium 174 Lu 71 Lutetium 156 6.62 Hf 72 Hafnium 144 8.14 Ta 73 Tantalum 134 9.57 W 74 Tungsten 130 10.96 Re 75 Rhenium 128 12.35 Os 76 Osmium 126 13.73 Ir 77 Iridium 127 15.13 Pt 78 Platinum 130 16.55 Au(d) 79 Gold 134 17.98 Au(p) 79 Gold 134 2.38 Hg 80 Mercury 149 3.48 Tl 81 Thallium 148 4.61 Pb 82 Lead 147 5.77 Bi 83 Bismuth 146 6.97 Po 84 Polonium 146 8.19 At 85 Astatine 145 9.44 Th 90 Thorium 165 U 92 Uranium 142 \ No newline at end of file +Symbol # Element Covalent Radius (pm) Eigenval H 1 Hydrogen 32 He 2 Helium 93 Li 3 Lithium 123 Be 4 Beryllium 90 4.14 B 5 Boron 82 6.64 C 6 Carbon 77 8.97 N 7 Nitrogen 75 11.47 O 8 Oxygen 73 14.13 F 9 Fluorine 72 16.99 Ne 10 Neon 71 20 Na 11 Sodium 154 Mg 12 Magnesium 136 2.99 Al 13 Aluminum 118 4.86 Si 14 Silicon 111 6.52 P 15 Phosphorus 106 8.33 S 16 Sulfur 102 10.27 Cl 17 Chlorine 99 12.31 Ar 18 Argon 98 14.5 K 19 Potassium 203 Ca 20 Calcium 174 Sc 21 Scandium 144 9.35 Ti 22 Titanium 132 11.04 V 23 Vanadium 122 12.55 Cr 24 Chromium 118 13.94 Mn 25 Manganese 117 15.27 Fe 26 Iron 117 16.54 Co 27 Cobalt 116 17.77 Ni 28 Nickel 115 18.96 Cu(d) 29 Copper 117 6.92 Cu(p) 29 Copper 117 1.15 Zn 30 Zinc 125 3.38 Ga 31 Gallium 126 4.9 Ge 32 Germanium 122 6.36 As 33 Arsenic 120 7.91 Se 34 Selenium 116 9.53 Br 35 Bromine 114 11.2 Kr 36 Krypton 112 13 Rb 37 Rubidium 216 Sr 38 Strontium 191 Y 39 Yttrium 162 6.8 Zr 40 Zirconium 145 8.46 Nb 41 Niobium 134 10.03 Mo 42 Molybdenum 130 11.56 Tc 43 Technetium 127 13.08 Ru 44 Ruthenium 125 14.59 Rh 45 Rhodium 125 16.16 Pd 46 Palladium 128 17.66 Ag(d) 47 Silver 134 19.21 Ag(p) 47 Silver 134 2.05 Cd 48 Cadmium 148 3.38 In 49 Indium 144 4.69 Sn 50 Tin 141 5.94 Sb 51 Antimony 141 7.24 Te 52 Tellurium 136 8.59 I 53 Iodine 133 9.97 Xe 54 Xenon 131 11.4 Cs 55 Cesium 235 Ba 56 Barium 198 La 57 Lanthanum 169 Ce 58 Cerium 165 Pr 59 Praseodymium 165 Nd 60 Neodymium 164 Pm 61 Promethium 163 Sm 62 Samarium 162 Eu 63 Europium 185 Gd 64 Gadolinium 161 Tb 65 Terbium 159 Dy 66 Dysprosium 159 Ho 67 Holmium 158 Er 68 Erbium 157 Tm 69 Thulium 156 Yb 70 Ytterbium 174 Lu 71 Lutetium 156 6.62 Hf 72 Hafnium 144 8.14 Ta 73 Tantalum 134 9.57 W 74 Tungsten 130 10.96 Re 75 Rhenium 128 12.35 Os 76 Osmium 126 13.73 Ir 77 Iridium 127 15.13 Pt 78 Platinum 130 16.55 Au(d) 79 Gold 134 17.98 Au(p) 79 Gold 134 2.38 Hg 80 Mercury 149 3.48 Tl 81 Thallium 148 4.61 Pb 82 Lead 147 5.77 Bi 83 Bismuth 146 6.97 Po 84 Polonium 146 8.19 At 85 Astatine 145 9.44 Th 90 Thorium 165 U 92 Uranium 142 diff --git a/smact/data/species_rep/skipspecies_20221028_319ion_dim200_cosine_similarity.json b/smact/data/species_rep/skipspecies_20221028_319ion_dim200_cosine_similarity.json index bd2ca0c1..dfe4cd02 100644 --- a/smact/data/species_rep/skipspecies_20221028_319ion_dim200_cosine_similarity.json +++ b/smact/data/species_rep/skipspecies_20221028_319ion_dim200_cosine_similarity.json @@ -1 +1,101763 @@ 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3+",0.1578193316],["Co3+","I1+",-0.0088930762],["I1+","Co3+",-0.0088930762],["Co3+","Cs1+",0.0494216006],["Cs1+","Co3+",0.0494216006],["Co3+","La1+",-0.1801185946],["La1+","Co3+",-0.1801185946],["Co3+","Tb1+",-0.0505862331],["Tb1+","Co3+",-0.0505862331],["Co3+","Ta1+",0.1168611724],["Ta1+","Co3+",0.1168611724],["Co3+","Os1-",-0.1085869905],["Os1-","Co3+",-0.1085869905],["Co3+","Os1+",-0.0697259379],["Os1+","Co3+",-0.0697259379],["Co3+","Pt1-",-0.0304541188],["Pt1-","Co3+",-0.0304541188],["Co3+","Pt1+",0.1490842374],["Pt1+","Co3+",0.1490842374],["Co3+","Au1-",-0.2439858465],["Au1-","Co3+",-0.2439858465],["Co3+","Au1+",0.0505619298],["Au1+","Co3+",0.0505619298],["Co3+","Hg1+",0.259884092],["Hg1+","Co3+",0.259884092],["Co3+","Tl1+",0.2005052238],["Tl1+","Co3+",0.2005052238],["Co3+","Bi1+",-0.2878200602],["Bi1+","Co3+",-0.2878200602],["Ni2+","Ni2+",1.0],["Ni2+","Ni4+",0.4308270162],["Ni4+","Ni2+",0.4308270162],["Ni2+","Ni3+",0.6196243664],["Ni3+","Ni2+",0.6196243664],["Ni2+","Cu2+",0.5357957644],["Cu2+","Ni2+",0.5357957644],["Ni2+","Cu3+",0.2725549949],["Cu3+","Ni2+",0.2725549949],["Ni2+","Zn2+",0.5062543392],["Zn2+","Ni2+",0.5062543392],["Ni2+","Ga3+",0.4216316141],["Ga3+","Ni2+",0.4216316141],["Ni2+","Ga4+",0.2471274812],["Ga4+","Ni2+",0.2471274812],["Ni2+","Ga2+",0.0944002881],["Ga2+","Ni2+",0.0944002881],["Ni2+","Ge4-",0.3305480119],["Ge4-","Ni2+",0.3305480119],["Ni2+","Ge4+",0.4384439085],["Ge4+","Ni2+",0.4384439085],["Ni2+","Ge2-",0.3121281355],["Ge2-","Ni2+",0.3121281355],["Ni2+","Ge2+",0.0835817263],["Ge2+","Ni2+",0.0835817263],["Ni2+","Ge3+",0.2964964451],["Ge3+","Ni2+",0.2964964451],["Ni2+","As2-",0.1405629493],["As2-","Ni2+",0.1405629493],["Ni2+","As3+",0.0623931867],["As3+","Ni2+",0.0623931867],["Ni2+","As5+",0.3355044981],["As5+","Ni2+",0.3355044981],["Ni2+","As3-",0.1842370936],["As3-","Ni2+",0.1842370936],["Ni2+","As2+",0.233136019],["As2+","Ni2+",0.233136019],["Ni2+","As4+",0.2442269536],["As4+","Ni2+",0.2442269536],["Ni2+","Se2-",-0.0103011263],["Se2-","Ni2+",-0.0103011263],["Ni2+","Se4+",0.2144476817],["Se4+","Ni2+",0.2144476817],["Ni2+","Se6+",0.2530752306],["Se6+","Ni2+",0.2530752306],["Ni2+","Se5+",0.3806069087],["Se5+","Ni2+",0.3806069087],["Ni2+","Se2+",0.1061379907],["Se2+","Ni2+",0.1061379907],["Ni2+","Se3+",0.0957185718],["Se3+","Ni2+",0.0957185718],["Ni2+","Br2+",0.2440786629],["Br2+","Ni2+",0.2440786629],["Ni2+","Br5+",0.3585986602],["Br5+","Ni2+",0.3585986602],["Ni2+","Br3+",0.2694898954],["Br3+","Ni2+",0.2694898954],["Ni2+","Sr2+",0.4471515768],["Sr2+","Ni2+",0.4471515768],["Ni2+","Y3+",0.4493358191],["Y3+","Ni2+",0.4493358191],["Ni2+","Y2+",0.2675602654],["Y2+","Ni2+",0.2675602654],["Ni2+","Zr2+",-0.0487397043],["Zr2+","Ni2+",-0.0487397043],["Ni2+","Zr4+",0.3842379148],["Zr4+","Ni2+",0.3842379148],["Ni2+","Zr3+",0.1085871188],["Zr3+","Ni2+",0.1085871188],["Ni2+","Nb5+",0.5002567214],["Nb5+","Ni2+",0.5002567214],["Ni2+","Nb3+",0.3014483434],["Nb3+","Ni2+",0.3014483434],["Ni2+","Nb4+",0.3021355555],["Nb4+","Ni2+",0.3021355555],["Ni2+","Nb2+",0.2770675461],["Nb2+","Ni2+",0.2770675461],["Ni2+","Nb7+",0.3621089838],["Nb7+","Ni2+",0.3621089838],["Ni2+","Mo3+",0.3161377662],["Mo3+","Ni2+",0.3161377662],["Ni2+","Mo4+",0.5396078544],["Mo4+","Ni2+",0.5396078544],["Ni2+","Mo6+",0.5485099846],["Mo6+","Ni2+",0.5485099846],["Ni2+","Mo5+",0.2114630759],["Mo5+","Ni2+",0.2114630759],["Ni2+","Mo2+",0.2487147056],["Mo2+","Ni2+",0.2487147056],["Ni2+","Tc4+",0.0720528482],["Tc4+","Ni2+",0.0720528482],["Ni2+","Tc3-",-0.1107758099],["Tc3-","Ni2+",-0.1107758099],["Ni2+","Tc3+",0.0532856344],["Tc3+","Ni2+",0.0532856344],["Ni2+","Tc7+",0.3192626798],["Tc7+","Ni2+",0.3192626798],["Ni2+","Tc5+",0.2297879241],["Tc5+","Ni2+",0.2297879241],["Ni2+","Tc6+",0.062099401],["Tc6+","Ni2+",0.062099401],["Ni2+","Tc2-",0.0769491386],["Tc2-","Ni2+",0.0769491386],["Ni2+","Tc2+",0.0751435309],["Tc2+","Ni2+",0.0751435309],["Ni2+","Ru2+",0.2553822548],["Ru2+","Ni2+",0.2553822548],["Ni2+","Ru6+",0.4726630524],["Ru6+","Ni2+",0.4726630524],["Ni2+","Ru4+",0.2412028384],["Ru4+","Ni2+",0.2412028384],["Ni2+","Ru5+",0.5332783763],["Ru5+","Ni2+",0.5332783763],["Ni2+","Ru3+",0.3002597676],["Ru3+","Ni2+",0.3002597676],["Ni2+","Rh4+",0.2923297907],["Rh4+","Ni2+",0.2923297907],["Ni2+","Rh3+",0.3918932028],["Rh3+","Ni2+",0.3918932028],["Ni2+","Pd2+",0.4506789836],["Pd2+","Ni2+",0.4506789836],["Ni2+","Pd4+",0.2462683356],["Pd4+","Ni2+",0.2462683356],["Ni2+","Pd3+",0.3560480389],["Pd3+","Ni2+",0.3560480389],["Ni2+","Ag3+",0.3877675846],["Ag3+","Ni2+",0.3877675846],["Ni2+","Ag2+",0.1997943156],["Ag2+","Ni2+",0.1997943156],["Ni2+","Cd2+",0.3364521147],["Cd2+","Ni2+",0.3364521147],["Ni2+","In3+",0.4598631734],["In3+","Ni2+",0.4598631734],["Ni2+","In2+",0.2042099135],["In2+","Ni2+",0.2042099135],["Ni2+","Sn4+",0.4184950749],["Sn4+","Ni2+",0.4184950749],["Ni2+","Sn3+",0.4432792069],["Sn3+","Ni2+",0.4432792069],["Ni2+","Sn2+",0.3439965543],["Sn2+","Ni2+",0.3439965543],["Ni2+","Sb5+",0.3213498327],["Sb5+","Ni2+",0.3213498327],["Ni2+","Sb2-",-0.0739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Zn2+","I1+",0.0140767593],["I1+","Zn2+",0.0140767593],["Zn2+","Cs1+",0.3953740991],["Cs1+","Zn2+",0.3953740991],["Zn2+","La1+",-0.0329930685],["La1+","Zn2+",-0.0329930685],["Zn2+","Tb1+",0.084096457],["Tb1+","Zn2+",0.084096457],["Zn2+","Ta1+",0.3091839623],["Ta1+","Zn2+",0.3091839623],["Zn2+","Os1-",-0.0303718527],["Os1-","Zn2+",-0.0303718527],["Zn2+","Os1+",-0.1248348124],["Os1+","Zn2+",-0.1248348124],["Zn2+","Pt1-",0.0998354865],["Pt1-","Zn2+",0.0998354865],["Zn2+","Pt1+",0.0449358668],["Pt1+","Zn2+",0.0449358668],["Zn2+","Au1-",-0.1760326043],["Au1-","Zn2+",-0.1760326043],["Zn2+","Au1+",0.194579261],["Au1+","Zn2+",0.194579261],["Zn2+","Hg1+",0.2742468623],["Hg1+","Zn2+",0.2742468623],["Zn2+","Tl1+",0.3849203092],["Tl1+","Zn2+",0.3849203092],["Zn2+","Bi1+",0.0748309031],["Bi1+","Zn2+",0.0748309031],["Ga3+","Ga3+",1.0],["Ga3+","Ga4+",0.2618931484],["Ga4+","Ga3+",0.2618931484],["Ga3+","Ga2+",0.4834846294],["Ga2+","Ga3+",0.4834846294],["Ga3+","Ge4-",-0.1243668673],["Ge4-","Ga3+",-0.1243668673],["Ga3+","Ge4+",0.6493129424],["Ge4+","Ga3+",0.6493129424],["Ga3+","Ge2-",-0.0508691166],["Ge2-","Ga3+",-0.0508691166],["Ga3+","Ge2+",0.3459596595],["Ge2+","Ga3+",0.3459596595],["Ga3+","Ge3+",0.4459946877],["Ge3+","Ga3+",0.4459946877],["Ga3+","As2-",0.1355211529],["As2-","Ga3+",0.1355211529],["Ga3+","As3+",0.3702708014],["As3+","Ga3+",0.3702708014],["Ga3+","As5+",0.1663319544],["As5+","Ga3+",0.1663319544],["Ga3+","As3-",0.0999373946],["As3-","Ga3+",0.0999373946],["Ga3+","As2+",0.4035180711],["As2+","Ga3+",0.4035180711],["Ga3+","As4+",0.2179639824],["As4+","Ga3+",0.2179639824],["Ga3+","Se2-",0.0220658947],["Se2-","Ga3+",0.0220658947],["Ga3+","Se4+",0.2953631414],["Se4+","Ga3+",0.2953631414],["Ga3+","Se6+",0.1865823391],["Se6+","Ga3+",0.1865823391],["Ga3+","Se5+",0.1897106226],["Se5+","Ga3+",0.1897106226],["Ga3+","Se2+",0.2751326479],["Se2+","Ga3+",0.2751326479],["Ga3+","Se3+",0.1628566736],["Se3+","Ga3+",0.1628566736],["Ga3+","Br2+",0.4087967148],["Br2+","Ga3+",0.4087967148],["Ga3+","Br5+",0.2129347843],["Br5+","Ga3+",0.2129347843],["Ga3+","Br3+",0.0500902973],["Br3+","Ga3+",0.0500902973],["Ga3+","Sr2+",0.6540055356],["Sr2+","Ga3+",0.6540055356],["Ga3+","Y3+",0.4392392349],["Y3+","Ga3+",0.4392392349],["Ga3+","Y2+",0.0670450883],["Y2+","Ga3+",0.0670450883],["Ga3+","Zr2+",0.204117887],["Zr2+","Ga3+",0.204117887],["Ga3+","Zr4+",0.3625526889],["Zr4+","Ga3+",0.3625526889],["Ga3+","Zr3+",0.3204601751],["Zr3+","Ga3+",0.3204601751],["Ga3+","Nb5+",0.369974091],["Nb5+","Ga3+",0.369974091],["Ga3+","Nb3+",0.4645955141],["Nb3+","Ga3+",0.4645955141],["Ga3+","Nb4+",0.4288423031],["Nb4+","Ga3+",0.4288423031],["Ga3+","Nb2+",0.4019248029],["Nb2+","Ga3+",0.4019248029],["Ga3+","Nb7+",0.2090761746],["Nb7+","Ga3+",0.2090761746],["Ga3+","Mo3+",0.4712696603],["Mo3+","Ga3+",0.4712696603],["Ga3+","Mo4+",0.4141347271],["Mo4+","Ga3+",0.4141347271],["Ga3+","Mo6+",0.5021000107],["Mo6+","Ga3+",0.5021000107],["Ga3+","Mo5+",0.237968703],["Mo5+","Ga3+",0.237968703],["Ga3+","Mo2+",0.3878933402],["Mo2+","Ga3+",0.3878933402],["Ga3+","Tc4+",0.1013010335],["Tc4+","Ga3+",0.1013010335],["Ga3+","Tc3-",0.0632319457],["Tc3-","Ga3+",0.0632319457],["Ga3+","Tc3+",0.4436608977],["Tc3+","Ga3+",0.4436608977],["Ga3+","Tc7+",0.2051706885],["Tc7+","Ga3+",0.2051706885],["Ga3+","Tc5+",0.3790227999],["Tc5+","Ga3+",0.3790227999],["Ga3+","Tc6+",0.100845375],["Tc6+","Ga3+",0.100845375],["Ga3+","Tc2-",-0.0134368821],["Tc2-","Ga3+",-0.0134368821],["Ga3+","Tc2+",0.1860425631],["Tc2+","Ga3+",0.1860425631],["Ga3+","Ru2+",0.229830308],["Ru2+","Ga3+",0.229830308],["Ga3+","Ru6+",0.2626131761],["Ru6+","Ga3+",0.2626131761],["Ga3+","Ru4+",0.4211701607],["Ru4+","Ga3+",0.4211701607],["Ga3+","Ru5+",0.4927453222],["Ru5+","Ga3+",0.4927453222],["Ga3+","Ru3+",0.313695726],["Ru3+","Ga3+",0.313695726],["Ga3+","Rh4+",0.3744741685],["Rh4+","Ga3+",0.3744741685],["Ga3+","Rh3+",0.3631644549],["Rh3+","Ga3+",0.3631644549],["Ga3+","Pd2+",0.3197075296],["Pd2+","Ga3+",0.3197075296],["Ga3+","Pd4+",0.2063185076],["Pd4+","Ga3+",0.2063185076],["Ga3+","Pd3+",0.1993764188],["Pd3+","Ga3+",0.1993764188],["Ga3+","Ag3+",0.1648876627],["Ag3+","Ga3+",0.1648876627],["Ga3+","Ag2+",0.2739969494],["Ag2+","Ga3+",0.2739969494],["Ga3+","Cd2+",0.6681130954],["Cd2+","Ga3+",0.6681130954],["Ga3+","In3+",0.7515908589],["In3+","Ga3+",0.7515908589],["Ga3+","In2+",0.5035173384],["In2+","Ga3+",0.5035173384],["Ga3+","Sn4+",0.6378311482],["Sn4+","Ga3+",0.6378311482],["Ga3+","Sn3+",0.382225418],["Sn3+","Ga3+",0.382225418],["Ga3+","Sn2+",0.5335162279],["Sn2+","Ga3+",0.5335162279],["Ga3+","Sb5+",0.3650346729],["Sb5+","Ga3+",0.3650346729],["Ga3+","Sb2-",-0.1200432798],["Sb2-","Ga3+",-0.1200432798],["Ga3+","Sb3-",-0.0028814981],["Sb3-","Ga3+",-0.0028814981],["Ga3+","Sb3+",0.5600015267],["Sb3+","Ga3+",0.5600015267],["Ga3+","Sb4+",0.198454298],["Sb4+","Ga3+",0.198454298],["Ga3+","Te2-",0.1387830992],["Te2-","Ga3+",0.1387830992],["Ga3+","Te4+",0.4195418447],["Te4+","Ga3+",0.4195418447],["Ga3+","Te6+",0.2212476579],["Te6+","Ga3+",0.2212476579],["Ga3+","Te2+",0.2301432807],["Te2+","Ga3+",0.2301432807],["Ga3+","Te5+",0.4028603331],["Te5+","Ga3+",0.4028603331],["Ga3+","I3+",0.1225551491],["I3+","Ga3+",0.1225551491],["Ga3+","I7+",0.1703460873],["I7+","Ga3+",0.1703460873],["Ga3+","I5+",0.1662199599],["I5+","Ga3+",0.1662199599],["Ga3+","I2+",0.1445898397],["I2+","Ga3+",0.1445898397],["Ga3+","Ba2+",0.7175295801],["Ba2+","Ga3+",0.7175295801],["Ga3+","La3+",0.5534063797],["La3+","Ga3+",0.5534063797],["Ga3+","La2+",0.2422748562],["La2+","Ga3+",0.2422748562],["Ga3+","Ce3+",0.5202424228],["Ce3+","Ga3+",0.5202424228],["Ga3+","Ce2+",0.3177996951],["Ce2+","Ga3+",0.3177996951],["Ga3+","Ce4+",0.3627287005],["Ce4+","Ga3+",0.3627287005],["Ga3+","Pr3+",0.4988539857],["Pr3+","Ga3+",0.4988539857],["Ga3+","Pr4+",0.2482685231],["Pr4+","Ga3+",0.2482685231],["Ga3+","Pr2+",0.2752012155],["Pr2+","Ga3+",0.2752012155],["Ga3+","Nd3+",0.5386319946],["Nd3+","Ga3+",0.5386319946],["Ga3+","Nd2+",0.0960882484],["Nd2+","Ga3+",0.0960882484],["Ga3+","Pm3+",0.4325501185],["Pm3+","Ga3+",0.4325501185],["Ga3+","Sm3+",0.5525500494],["Sm3+","Ga3+",0.5525500494],["Ga3+","Sm2+",0.148104151],["Sm2+","Ga3+",0.148104151],["Ga3+","Eu2+",0.5106840955],["Eu2+","Ga3+",0.5106840955],["Ga3+","Eu3+",0.3497097645],["Eu3+","Ga3+",0.3497097645],["Ga3+","Gd2+",0.190583623],["Gd2+","Ga3+",0.190583623],["Ga3+","Gd3+",0.433094431],["Gd3+","Ga3+",0.433094431],["Ga3+","Tb3+",0.4725935528],["Tb3+","Ga3+",0.4725935528],["Ga3+","Tb2+",0.1316924141],["Tb2+","Ga3+",0.1316924141],["Ga3+","Tb4+",0.1565299975],["Tb4+","Ga3+",0.1565299975],["Ga3+","Dy3+",0.3687205672],["Dy3+","Ga3+",0.3687205672],["Ga3+","Dy2+",0.0617014722],["Dy2+","Ga3+",0.0617014722],["Ga3+","Ho3+",0.4211427162],["Ho3+","Ga3+",0.4211427162],["Ga3+","Ho2+",0.2093792693],["Ho2+","Ga3+",0.2093792693],["Ga3+","Er3+",0.3639833314],["Er3+","Ga3+",0.3639833314],["Ga3+","Tm3+",0.3659580266],["Tm3+","Ga3+",0.3659580266],["Ga3+","Tm2+",0.2090838823],["Tm2+","Ga3+",0.2090838823],["Ga3+","Yb3+",0.3201290455],["Yb3+","Ga3+",0.3201290455],["Ga3+","Yb2+",0.3320110024],["Yb2+","Ga3+",0.3320110024],["Ga3+","Lu3+",0.2150232672],["Lu3+","Ga3+",0.2150232672],["Ga3+","Hf3+",0.5212787788],["Hf3+","Ga3+",0.5212787788],["Ga3+","Hf2+",0.1260313008],["Hf2+","Ga3+",0.1260313008],["Ga3+","Hf4+",0.3916525916],["Hf4+","Ga3+",0.3916525916],["Ga3+","Ta5+",0.4860447541],["Ta5+","Ga3+",0.4860447541],["Ga3+","Ta3+",0.3440798975],["Ta3+","Ga3+",0.3440798975],["Ga3+","Ta4+",0.4501068866],["Ta4+","Ga3+",0.4501068866],["Ga3+","Ta2+",0.2479914126],["Ta2+","Ga3+",0.2479914126],["Ga3+","W6+",0.3658984623],["W6+","Ga3+",0.3658984623],["Ga3+","W4+",0.4371680825],["W4+","Ga3+",0.4371680825],["Ga3+","W2+",0.4155090914],["W2+","Ga3+",0.4155090914],["Ga3+","W3+",0.3953025641],["W3+","Ga3+",0.3953025641],["Ga3+","W5+",0.4257010039],["W5+","Ga3+",0.4257010039],["Ga3+","Re5+",0.4429130381],["Re5+","Ga3+",0.4429130381],["Ga3+","Re3+",0.3654396903],["Re3+","Ga3+",0.3654396903],["Ga3+","Re6+",0.2973499045],["Re6+","Ga3+",0.2973499045],["Ga3+","Re2+",0.109643657],["Re2+","Ga3+",0.109643657],["Ga3+","Re4+",0.4349007001],["Re4+","Ga3+",0.4349007001],["Ga3+","Re7+",0.390319842],["Re7+","Ga3+",0.390319842],["Ga3+","Os7+",0.1555620707],["Os7+","Ga3+",0.1555620707],["Ga3+","Os6+",0.1431721403],["Os6+","Ga3+",0.1431721403],["Ga3+","Os5+",0.5017137357],["Os5+","Ga3+",0.5017137357],["Ga3+","Os2-",0.0185285705],["Os2-","Ga3+",0.0185285705],["Ga3+","Os3+",0.3210168717],["Os3+","Ga3+",0.3210168717],["Ga3+","Os4+",0.3974657929],["Os4+","Ga3+",0.3974657929],["Ga3+","Os8+",0.1635570442],["Os8+","Ga3+",0.1635570442],["Ga3+","Os2+",0.1809816729],["Os2+","Ga3+",0.1809816729],["Ga3+","Ir3+",0.2659218056],["Ir3+","Ga3+",0.2659218056],["Ga3+","Ir4+",0.4467468647],["Ir4+","Ga3+",0.4467468647],["Ga3+","Ir5+",0.5322886812],["Ir5+","Ga3+",0.5322886812],["Ga3+","Ir6+",0.2400843851],["Ir6+","Ga3+",0.2400843851],["Ga3+","Pt2+",0.2777161807],["Pt2+","Ga3+",0.2777161807],["Ga3+","Pt2-",0.0324072785],["Pt2-","Ga3+",0.0324072785],["Ga3+","Pt4+",0.4408331368],["Pt4+","Ga3+",0.4408331368],["Ga3+","Pt3+",0.2226138372],["Pt3+","Ga3+",0.2226138372],["Ga3+","Pt5+",0.3558832712],["Pt5+","Ga3+",0.3558832712],["Ga3+","Pt6+",0.1516544293],["Pt6+","Ga3+",0.1516544293],["Ga3+","Au2+",0.1849647951],["Au2+","Ga3+",0.1849647951],["Ga3+","Au3+",0.3956991618],["Au3+","Ga3+",0.3956991618],["Ga3+","Au5+",0.2240684691],["Au5+","Ga3+",0.2240684691],["Ga3+","Au4+",0.1278374098],["Au4+","Ga3+",0.1278374098],["Ga3+","Hg2+",0.4378154924],["Hg2+","Ga3+",0.4378154924],["Ga3+","Tl3+",0.3405262961],["Tl3+","Ga3+",0.3405262961],["Ga3+","Tl2+",0.4926778672],["Tl2+","Ga3+",0.4926778672],["Ga3+","Pb2+",0.5638428532],["Pb2+","Ga3+",0.5638428532],["Ga3+","Pb3+",0.2470285337],["Pb3+","Ga3+",0.2470285337],["Ga3+","Pb4+",0.2842173577],["Pb4+","Ga3+",0.2842173577],["Ga3+","Bi3+",0.6555340944],["Bi3+","Ga3+",0.6555340944],["Ga3+","Bi5+",0.281933659],["Bi5+","Ga3+",0.281933659],["Ga3+","Bi2+",0.3001372533],["Bi2+","Ga3+",0.3001372533],["Ga3+","Bi3-",0.0641122959],["Bi3-","Ga3+",0.0641122959],["Ga3+","Bi4+",0.1634549778],["Bi4+","Ga3+",0.1634549778],["Ga3+","Ac3+",0.367641041],["Ac3+","Ga3+",0.367641041],["Ga3+","Th4+",0.2885851269],["Th4+","Ga3+",0.2885851269],["Ga3+","Th3+",0.375232285],["Th3+","Ga3+",0.375232285],["Ga3+","Pa4+",0.3659434043],["Pa4+","Ga3+",0.3659434043],["Ga3+","Pa5+",0.2850361747],["Pa5+","Ga3+",0.2850361747],["Ga3+","Pa3+",0.303485039],["Pa3+","Ga3+",0.303485039],["Ga3+","U6+",0.2892816957],["U6+","Ga3+",0.2892816957],["Ga3+","U4+",0.3475748555],["U4+","Ga3+",0.3475748555],["Ga3+","U3+",0.3005201932],["U3+","Ga3+",0.3005201932],["Ga3+","U2+",0.4288792691],["U2+","Ga3+",0.4288792691],["Ga3+","U5+",0.157403968],["U5+","Ga3+",0.157403968],["Ga3+","Np6+",0.2929966233],["Np6+","Ga3+",0.2929966233],["Ga3+","Np4+",0.1531188911],["Np4+","Ga3+",0.1531188911],["Ga3+","Np3+",0.4370895608],["Np3+","Ga3+",0.4370895608],["Ga3+","Np7+",0.3112926359],["Np7+","Ga3+",0.3112926359],["Ga3+","Np5+",0.5504762379],["Np5+","Ga3+",0.5504762379],["Ga3+","Pu7+",0.2575008622],["Pu7+","Ga3+",0.2575008622],["Ga3+","Pu6+",0.2099794013],["Pu6+","Ga3+",0.2099794013],["Ga3+","Pu3+",0.3658600113],["Pu3+","Ga3+",0.3658600113],["Ga3+","Pu4+",0.1695766403],["Pu4+","Ga3+",0.1695766403],["Ga3+","Pu5+",0.380207872],["Pu5+","Ga3+",0.380207872],["Ga3+","H1+",0.0860062656],["H1+","Ga3+",0.0860062656],["Ga3+","H1-",0.0942089418],["H1-","Ga3+",0.0942089418],["Ga3+","Li1+",0.4812281079],["Li1+","Ga3+",0.4812281079],["Ga3+","B1+",0.1229973945],["B1+","Ga3+",0.1229973945],["Ga3+","B1-",-0.2963013491],["B1-","Ga3+",-0.2963013491],["Ga3+","C1-",0.1884948174],["C1-","Ga3+",0.1884948174],["Ga3+","C1+",0.261784255],["C1+","Ga3+",0.261784255],["Ga3+","N1-",0.1121600081],["N1-","Ga3+",0.1121600081],["Ga3+","N1+",0.1158484476],["N1+","Ga3+",0.1158484476],["Ga3+","O1-",0.0461343411],["O1-","Ga3+",0.0461343411],["Ga3+","F1-",0.0008531568],["F1-","Ga3+",0.0008531568],["Ga3+","Na1+",0.6189991675],["Na1+","Ga3+",0.6189991675],["Ga3+","Si1-",0.0233574941],["Si1-","Ga3+",0.0233574941],["Ga3+","P1+",0.1689944797],["P1+","Ga3+",0.1689944797],["Ga3+","P1-",-0.1246408572],["P1-","Ga3+",-0.1246408572],["Ga3+","S1-",0.0641480829],["S1-","Ga3+",0.0641480829],["Ga3+","S1+",0.1999940328],["S1+","Ga3+",0.1999940328],["Ga3+","Cl1-",0.095285327],["Cl1-","Ga3+",0.095285327],["Ga3+","K1+",0.6592883998],["K1+","Ga3+",0.6592883998],["Ga3+","Sc1+",0.185680816],["Sc1+","Ga3+",0.185680816],["Ga3+","Mn1+",0.2606867793],["Mn1+","Ga3+",0.2606867793],["Ga3+","Fe1+",0.2264305293],["Fe1+","Ga3+",0.2264305293],["Ga3+","Co1+",0.2557454408],["Co1+","Ga3+",0.2557454408],["Ga3+","Ni1+",0.348413426],["Ni1+","Ga3+",0.348413426],["Ga3+","Cu1+",0.5618401611],["Cu1+","Ga3+",0.5618401611],["Ga3+","Ga1+",0.3110158737],["Ga1+","Ga3+",0.3110158737],["Ga3+","As1-",-0.0109581131],["As1-","Ga3+",-0.0109581131],["Ga3+","As1+",0.3321866994],["As1+","Ga3+",0.3321866994],["Ga3+","Se1-",0.1324886804],["Se1-","Ga3+",0.1324886804],["Ga3+","Se1+",0.2367947347],["Se1+","Ga3+",0.2367947347],["Ga3+","Br1-",0.0351051013],["Br1-","Ga3+",0.0351051013],["Ga3+","Br1+",0.1453753412],["Br1+","Ga3+",0.1453753412],["Ga3+","Rb1+",0.555422683],["Rb1+","Ga3+",0.555422683],["Ga3+","Y1+",0.1055011938],["Y1+","Ga3+",0.1055011938],["Ga3+","Zr1+",0.2687118107],["Zr1+","Ga3+",0.2687118107],["Ga3+","Nb1+",0.3854931441],["Nb1+","Ga3+",0.3854931441],["Ga3+","Tc1-",0.1491700555],["Tc1-","Ga3+",0.1491700555],["Ga3+","Tc1+",0.4450700218],["Tc1+","Ga3+",0.4450700218],["Ga3+","Rh1+",0.150911926],["Rh1+","Ga3+",0.150911926],["Ga3+","Ag1+",0.6060168163],["Ag1+","Ga3+",0.6060168163],["Ga3+","In1+",0.2803645444],["In1+","Ga3+",0.2803645444],["Ga3+","Sb1-",-0.0254274329],["Sb1-","Ga3+",-0.0254274329],["Ga3+","Sb1+",0.2358032548],["Sb1+","Ga3+",0.2358032548],["Ga3+","Te1-",0.025231129],["Te1-","Ga3+",0.025231129],["Ga3+","Te1+",0.2669605418],["Te1+","Ga3+",0.2669605418],["Ga3+","I1-",0.0070158],["I1-","Ga3+",0.0070158],["Ga3+","I1+",0.0891104672],["I1+","Ga3+",0.0891104672],["Ga3+","Cs1+",0.6067131714],["Cs1+","Ga3+",0.6067131714],["Ga3+","La1+",0.0043300571],["La1+","Ga3+",0.0043300571],["Ga3+","Tb1+",0.0497570496],["Tb1+","Ga3+",0.0497570496],["Ga3+","Ta1+",0.4068862602],["Ta1+","Ga3+",0.4068862602],["Ga3+","Os1-",0.1437044278],["Os1-","Ga3+",0.1437044278],["Ga3+","Os1+",0.0252232168],["Os1+","Ga3+",0.0252232168],["Ga3+","Pt1-",0.1598143231],["Pt1-","Ga3+",0.1598143231],["Ga3+","Pt1+",0.2259588618],["Pt1+","Ga3+",0.2259588618],["Ga3+","Au1-",-0.1674987917],["Au1-","Ga3+",-0.1674987917],["Ga3+","Au1+",0.3132242368],["Au1+","Ga3+",0.3132242368],["Ga3+","Hg1+",0.3015837566],["Hg1+","Ga3+",0.3015837566],["Ga3+","Tl1+",0.5869907001],["Tl1+","Ga3+",0.5869907001],["Ga3+","Bi1+",0.1976514154],["Bi1+","Ga3+",0.1976514154],["Ga4+","Ga4+",1.0],["Ga4+","Ga2+",0.0899515849],["Ga2+","Ga4+",0.0899515849],["Ga4+","Ge4-",0.1211007368],["Ge4-","Ga4+",0.1211007368],["Ga4+","Ge4+",0.2666699699],["Ge4+","Ga4+",0.2666699699],["Ga4+","Ge2-",0.136896561],["Ge2-","Ga4+",0.136896561],["Ga4+","Ge2+",0.1845691402],["Ge2+","Ga4+",0.1845691402],["Ga4+","Ge3+",0.0794863349],["Ge3+","Ga4+",0.0794863349],["Ga4+","As2-",-0.0679875428],["As2-","Ga4+",-0.0679875428],["Ga4+","As3+",0.1133345502],["As3+","Ga4+",0.1133345502],["Ga4+","As5+",0.215167228],["As5+","Ga4+",0.215167228],["Ga4+","As3-",-0.0363262663],["As3-","Ga4+",-0.0363262663],["Ga4+","As2+",0.2180996581],["As2+","Ga4+",0.2180996581],["Ga4+","As4+",0.197857748],["As4+","Ga4+",0.197857748],["Ga4+","Se2-",0.2617021851],["Se2-","Ga4+",0.2617021851],["Ga4+","Se4+",0.4569757485],["Se4+","Ga4+",0.4569757485],["Ga4+","Se6+",0.2950605124],["Se6+","Ga4+",0.2950605124],["Ga4+","Se5+",0.2927197105],["Se5+","Ga4+",0.2927197105],["Ga4+","Se2+",0.14822769],["Se2+","Ga4+",0.14822769],["Ga4+","Se3+",0.3347137463],["Se3+","Ga4+",0.3347137463],["Ga4+","Br2+",0.3734930361],["Br2+","Ga4+",0.3734930361],["Ga4+","Br5+",0.2626749435],["Br5+","Ga4+",0.2626749435],["Ga4+","Br3+",0.250693973],["Br3+","Ga4+",0.250693973],["Ga4+","Sr2+",0.2980034824],["Sr2+","Ga4+",0.2980034824],["Ga4+","Y3+",0.3359134423],["Y3+","Ga4+",0.3359134423],["Ga4+","Y2+",0.3324349487],["Y2+","Ga4+",0.3324349487],["Ga4+","Zr2+",0.0300001541],["Zr2+","Ga4+",0.0300001541],["Ga4+","Zr4+",0.2524007444],["Zr4+","Ga4+",0.2524007444],["Ga4+","Zr3+",0.1746955061],["Zr3+","Ga4+",0.1746955061],["Ga4+","Nb5+",0.2622685744],["Nb5+","Ga4+",0.2622685744],["Ga4+","Nb3+",0.1818700372],["Nb3+","Ga4+",0.1818700372],["Ga4+","Nb4+",0.0706290228],["Nb4+","Ga4+",0.0706290228],["Ga4+","Nb2+",0.077742081],["Nb2+","Ga4+",0.077742081],["Ga4+","Nb7+",0.2654669315],["Nb7+","Ga4+",0.2654669315],["Ga4+","Mo3+",0.1383985149],["Mo3+","Ga4+",0.1383985149],["Ga4+","Mo4+",0.2910029324],["Mo4+","Ga4+",0.2910029324],["Ga4+","Mo6+",0.3721579969],["Mo6+","Ga4+",0.3721579969],["Ga4+","Mo5+",0.2164606345],["Mo5+","Ga4+",0.2164606345],["Ga4+","Mo2+",0.0947772845],["Mo2+","Ga4+",0.0947772845],["Ga4+","Tc4+",0.0547503088],["Tc4+","Ga4+",0.0547503088],["Ga4+","Tc3-",-0.0317243475],["Tc3-","Ga4+",-0.0317243475],["Ga4+","Tc3+",0.0633921488],["Tc3+","Ga4+",0.0633921488],["Ga4+","Tc7+",0.0648476994],["Tc7+","Ga4+",0.0648476994],["Ga4+","Tc5+",0.2912772653],["Tc5+","Ga4+",0.2912772653],["Ga4+","Tc6+",-0.0070502309],["Tc6+","Ga4+",-0.0070502309],["Ga4+","Tc2-",0.060208736],["Tc2-","Ga4+",0.060208736],["Ga4+","Tc2+",0.1015841087],["Tc2+","Ga4+",0.1015841087],["Ga4+","Ru2+",0.0994345212],["Ru2+","Ga4+",0.0994345212],["Ga4+","Ru6+",0.1753218818],["Ru6+","Ga4+",0.1753218818],["Ga4+","Ru4+",0.3612242732],["Ru4+","Ga4+",0.3612242732],["Ga4+","Ru5+",0.2584436921],["Ru5+","Ga4+",0.2584436921],["Ga4+","Ru3+",0.1058419255],["Ru3+","Ga4+",0.1058419255],["Ga4+","Rh4+",0.3080909862],["Rh4+","Ga4+",0.3080909862],["Ga4+","Rh3+",0.2396328451],["Rh3+","Ga4+",0.2396328451],["Ga4+","Pd2+",0.1157073742],["Pd2+","Ga4+",0.1157073742],["Ga4+","Pd4+",0.0554322663],["Pd4+","Ga4+",0.0554322663],["Ga4+","Pd3+",-0.0049440783],["Pd3+","Ga4+",-0.0049440783],["Ga4+","Ag3+",0.3569667038],["Ag3+","Ga4+",0.3569667038],["Ga4+","Ag2+",0.1700887019],["Ag2+","Ga4+",0.1700887019],["Ga4+","Cd2+",0.1252183623],["Cd2+","Ga4+",0.1252183623],["Ga4+","In3+",0.2981422253],["In3+","Ga4+",0.2981422253],["Ga4+","In2+",0.0196017401],["In2+","Ga4+",0.0196017401],["Ga4+","Sn4+",0.2702497888],["Sn4+","Ga4+",0.2702497888],["Ga4+","Sn3+",0.2139627789],["Sn3+","Ga4+",0.2139627789],["Ga4+","Sn2+",0.1518242209],["Sn2+","Ga4+",0.1518242209],["Ga4+","Sb5+",0.353652322],["Sb5+","Ga4+",0.353652322],["Ga4+","Sb2-",0.1218981111],["Sb2-","Ga4+",0.1218981111],["Ga4+","Sb3-",0.0604401867],["Sb3-","Ga4+",0.0604401867],["Ga4+","Sb3+",0.1814517841],["Sb3+","Ga4+",0.1814517841],["Ga4+","Sb4+",0.2640792318],["Sb4+","Ga4+",0.2640792318],["Ga4+","Te2-",0.3154747837],["Te2-","Ga4+",0.3154747837],["Ga4+","Te4+",0.3402821798],["Te4+","Ga4+",0.3402821798],["Ga4+","Te6+",0.3018556955],["Te6+","Ga4+",0.3018556955],["Ga4+","Te2+",-0.0801232474],["Te2+","Ga4+",-0.0801232474],["Ga4+","Te5+",0.3126324056],["Te5+","Ga4+",0.3126324056],["Ga4+","I3+",0.2893932479],["I3+","Ga4+",0.2893932479],["Ga4+","I7+",0.2391001431],["I7+","Ga4+",0.2391001431],["Ga4+","I5+",0.3343362645],["I5+","Ga4+",0.3343362645],["Ga4+","I2+",0.2652084987],["I2+","Ga4+",0.2652084987],["Ga4+","Ba2+",0.2148379994],["Ba2+","Ga4+",0.2148379994],["Ga4+","La3+",0.2905880559],["La3+","Ga4+",0.2905880559],["Ga4+","La2+",0.0844944367],["La2+","Ga4+",0.0844944367],["Ga4+","Ce3+",0.1839920733],["Ce3+","Ga4+",0.1839920733],["Ga4+","Ce2+",0.0460261098],["Ce2+","Ga4+",0.0460261098],["Ga4+","Ce4+",0.3497694595],["Ce4+","Ga4+",0.3497694595],["Ga4+","Pr3+",0.1695589231],["Pr3+","Ga4+",0.1695589231],["Ga4+","Pr4+",0.265578247],["Pr4+","Ga4+",0.265578247],["Ga4+","Pr2+",0.0315286211],["Pr2+","Ga4+",0.0315286211],["Ga4+","Nd3+",0.2708592871],["Nd3+","Ga4+",0.2708592871],["Ga4+","Nd2+",0.111473556],["Nd2+","Ga4+",0.111473556],["Ga4+","Pm3+",0.2015025157],["Pm3+","Ga4+",0.2015025157],["Ga4+","Sm3+",0.2193919838],["Sm3+","Ga4+",0.2193919838],["Ga4+","Sm2+",0.0357949978],["Sm2+","Ga4+",0.0357949978],["Ga4+","Eu2+",0.1778922996],["Eu2+","Ga4+",0.1778922996],["Ga4+","Eu3+",0.3900544948],["Eu3+","Ga4+",0.3900544948],["Ga4+","Gd2+",-0.0191305276],["Gd2+","Ga4+",-0.0191305276],["Ga4+","Gd3+",0.2143513776],["Gd3+","Ga4+",0.2143513776],["Ga4+","Tb3+",0.2513420608],["Tb3+","Ga4+",0.2513420608],["Ga4+","Tb2+",0.0016022267],["Tb2+","Ga4+",0.0016022267],["Ga4+","Tb4+",0.2294002855],["Tb4+","Ga4+",0.2294002855],["Ga4+","Dy3+",0.2609849177],["Dy3+","Ga4+",0.2609849177],["Ga4+","Dy2+",0.0926389504],["Dy2+","Ga4+",0.0926389504],["Ga4+","Ho3+",0.2925748013],["Ho3+","Ga4+",0.2925748013],["Ga4+","Ho2+",0.0690712149],["Ho2+","Ga4+",0.0690712149],["Ga4+","Er3+",0.2433010307],["Er3+","Ga4+",0.2433010307],["Ga4+","Tm3+",0.2271981496],["Tm3+","Ga4+",0.2271981496],["Ga4+","Tm2+",0.0645837819],["Tm2+","Ga4+",0.0645837819],["Ga4+","Yb3+",0.2474919788],["Yb3+","Ga4+",0.2474919788],["Ga4+","Yb2+",0.0246285824],["Yb2+","Ga4+",0.0246285824],["Ga4+","Lu3+",0.2510011503],["Lu3+","Ga4+",0.2510011503],["Ga4+","Hf3+",0.1869039427],["Hf3+","Ga4+",0.1869039427],["Ga4+","Hf2+",-0.0111527292],["Hf2+","Ga4+",-0.0111527292],["Ga4+","Hf4+",0.3351166785],["Hf4+","Ga4+",0.3351166785],["Ga4+","Ta5+",0.3534436093],["Ta5+","Ga4+",0.3534436093],["Ga4+","Ta3+",0.0419007833],["Ta3+","Ga4+",0.0419007833],["Ga4+","Ta4+",0.2288933978],["Ta4+","Ga4+",0.2288933978],["Ga4+","Ta2+",-0.0294888246],["Ta2+","Ga4+",-0.0294888246],["Ga4+","W6+",0.3621098231],["W6+","Ga4+",0.3621098231],["Ga4+","W4+",0.375736337],["W4+","Ga4+",0.375736337],["Ga4+","W2+",0.153939089],["W2+","Ga4+",0.153939089],["Ga4+","W3+",0.1972486142],["W3+","Ga4+",0.1972486142],["Ga4+","W5+",0.2502706108],["W5+","Ga4+",0.2502706108],["Ga4+","Re5+",0.3692092402],["Re5+","Ga4+",0.3692092402],["Ga4+","Re3+",0.0634023561],["Re3+","Ga4+",0.0634023561],["Ga4+","Re6+",0.1735367105],["Re6+","Ga4+",0.1735367105],["Ga4+","Re2+",0.2000412091],["Re2+","Ga4+",0.2000412091],["Ga4+","Re4+",0.1544410359],["Re4+","Ga4+",0.1544410359],["Ga4+","Re7+",0.1820577437],["Re7+","Ga4+",0.1820577437],["Ga4+","Os7+",0.1687755439],["Os7+","Ga4+",0.1687755439],["Ga4+","Os6+",0.310900888],["Os6+","Ga4+",0.310900888],["Ga4+","Os5+",0.1844362278],["Os5+","Ga4+",0.1844362278],["Ga4+","Os2-",-0.1867679251],["Os2-","Ga4+",-0.1867679251],["Ga4+","Os3+",0.1621986797],["Os3+","Ga4+",0.1621986797],["Ga4+","Os4+",0.2301273663],["Os4+","Ga4+",0.2301273663],["Ga4+","Os8+",0.1243310897],["Os8+","Ga4+",0.1243310897],["Ga4+","Os2+",0.2845855638],["Os2+","Ga4+",0.2845855638],["Ga4+","Ir3+",0.0692353277],["Ir3+","Ga4+",0.0692353277],["Ga4+","Ir4+",0.1606015456],["Ir4+","Ga4+",0.1606015456],["Ga4+","Ir5+",0.2338762834],["Ir5+","Ga4+",0.2338762834],["Ga4+","Ir6+",0.2755783394],["Ir6+","Ga4+",0.2755783394],["Ga4+","Pt2+",0.1025221947],["Pt2+","Ga4+",0.1025221947],["Ga4+","Pt2-",-0.0377522147],["Pt2-","Ga4+",-0.0377522147],["Ga4+","Pt4+",0.1498892522],["Pt4+","Ga4+",0.1498892522],["Ga4+","Pt3+",0.1344309659],["Pt3+","Ga4+",0.1344309659],["Ga4+","Pt5+",-0.0192879693],["Pt5+","Ga4+",-0.0192879693],["Ga4+","Pt6+",0.1005643389],["Pt6+","Ga4+",0.1005643389],["Ga4+","Au2+",0.1811113055],["Au2+","Ga4+",0.1811113055],["Ga4+","Au3+",0.0037662312],["Au3+","Ga4+",0.0037662312],["Ga4+","Au5+",0.045459467],["Au5+","Ga4+",0.045459467],["Ga4+","Au4+",-0.012021439],["Au4+","Ga4+",-0.012021439],["Ga4+","Hg2+",0.0802784693],["Hg2+","Ga4+",0.0802784693],["Ga4+","Tl3+",0.1308829874],["Tl3+","Ga4+",0.1308829874],["Ga4+","Tl2+",0.2594412663],["Tl2+","Ga4+",0.2594412663],["Ga4+","Pb2+",0.3617674855],["Pb2+","Ga4+",0.3617674855],["Ga4+","Pb3+",0.2307685226],["Pb3+","Ga4+",0.2307685226],["Ga4+","Pb4+",0.2677948909],["Pb4+","Ga4+",0.2677948909],["Ga4+","Bi3+",0.3676636485],["Bi3+","Ga4+",0.3676636485],["Ga4+","Bi5+",0.2583643072],["Bi5+","Ga4+",0.2583643072],["Ga4+","Bi2+",0.2394006109],["Bi2+","Ga4+",0.2394006109],["Ga4+","Bi3-",0.1284179577],["Bi3-","Ga4+",0.1284179577],["Ga4+","Bi4+",0.1743927753],["Bi4+","Ga4+",0.1743927753],["Ga4+","Ac3+",0.0772668154],["Ac3+","Ga4+",0.0772668154],["Ga4+","Th4+",0.066823627],["Th4+","Ga4+",0.066823627],["Ga4+","Th3+",-0.0069104712],["Th3+","Ga4+",-0.0069104712],["Ga4+","Pa4+",-0.0314645896],["Pa4+","Ga4+",-0.0314645896],["Ga4+","Pa5+",0.234998135],["Pa5+","Ga4+",0.234998135],["Ga4+","Pa3+",-0.0498683839],["Pa3+","Ga4+",-0.0498683839],["Ga4+","U6+",0.3349882744],["U6+","Ga4+",0.3349882744],["Ga4+","U4+",0.0057270851],["U4+","Ga4+",0.0057270851],["Ga4+","U3+",-0.0623467422],["U3+","Ga4+",-0.0623467422],["Ga4+","U2+",0.0363406188],["U2+","Ga4+",0.0363406188],["Ga4+","U5+",0.1931976702],["U5+","Ga4+",0.1931976702],["Ga4+","Np6+",0.1770024834],["Np6+","Ga4+",0.1770024834],["Ga4+","Np4+",-0.1049536982],["Np4+","Ga4+",-0.1049536982],["Ga4+","Np3+",0.1116816516],["Np3+","Ga4+",0.1116816516],["Ga4+","Np7+",0.2961465263],["Np7+","Ga4+",0.2961465263],["Ga4+","Np5+",0.1928728578],["Np5+","Ga4+",0.1928728578],["Ga4+","Pu7+",0.3811894465],["Pu7+","Ga4+",0.3811894465],["Ga4+","Pu6+",0.1987266787],["Pu6+","Ga4+",0.1987266787],["Ga4+","Pu3+",0.209963277],["Pu3+","Ga4+"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"Zr4+",0.0419256496],["Zr4+","Ga2+",0.0419256496],["Ga2+","Zr3+",0.3900265498],["Zr3+","Ga2+",0.3900265498],["Ga2+","Nb5+",0.1544937189],["Nb5+","Ga2+",0.1544937189],["Ga2+","Nb3+",0.3963581198],["Nb3+","Ga2+",0.3963581198],["Ga2+","Nb4+",0.2237902249],["Nb4+","Ga2+",0.2237902249],["Ga2+","Nb2+",0.5654970244],["Nb2+","Ga2+",0.5654970244],["Ga2+","Nb7+",0.0892156256],["Nb7+","Ga2+",0.0892156256],["Ga2+","Mo3+",0.2790217452],["Mo3+","Ga2+",0.2790217452],["Ga2+","Mo4+",0.2059042782],["Mo4+","Ga2+",0.2059042782],["Ga2+","Mo6+",0.0529215432],["Mo6+","Ga2+",0.0529215432],["Ga2+","Mo5+",-0.0313470842],["Mo5+","Ga2+",-0.0313470842],["Ga2+","Mo2+",0.4496353673],["Mo2+","Ga2+",0.4496353673],["Ga2+","Tc4+",0.1420043271],["Tc4+","Ga2+",0.1420043271],["Ga2+","Tc3-",0.162381312],["Tc3-","Ga2+",0.162381312],["Ga2+","Tc3+",0.3153206055],["Tc3+","Ga2+",0.3153206055],["Ga2+","Tc7+",-0.0901990407],["Tc7+","Ga2+",-0.0901990407],["Ga2+","Tc5+",0.2130452943],["Tc5+","Ga2+",0.2130452943],["Ga2+","Tc6+",-0.2325086317],["Tc6+","Ga2+",-0.2325086317],["Ga2+","Tc2-",-0.0242921804],["Tc2-","Ga2+",-0.0242921804],["Ga2+","Tc2+",0.2794134195],["Tc2+","Ga2+",0.2794134195],["Ga2+","Ru2+",0.367008958],["Ru2+","Ga2+",0.367008958],["Ga2+","Ru6+",0.1375780705],["Ru6+","Ga2+",0.1375780705],["Ga2+","Ru4+",0.2366447342],["Ru4+","Ga2+",0.2366447342],["Ga2+","Ru5+",0.1562047256],["Ru5+","Ga2+",0.1562047256],["Ga2+","Ru3+",0.1341429139],["Ru3+","Ga2+",0.1341429139],["Ga2+","Rh4+",0.1923281306],["Rh4+","Ga2+",0.1923281306],["Ga2+","Rh3+",0.1907171324],["Rh3+","Ga2+",0.1907171324],["Ga2+","Pd2+",0.1868663634],["Pd2+","Ga2+",0.1868663634],["Ga2+","Pd4+",0.2920950423],["Pd4+","Ga2+",0.2920950423],["Ga2+","Pd3+",0.0549325133],["Pd3+","Ga2+",0.0549325133],["Ga2+","Ag3+",-0.1378107274],["Ag3+","Ga2+",-0.1378107274],["Ga2+","Ag2+",0.0289131888],["Ag2+","Ga2+",0.0289131888],["Ga2+","Cd2+",0.4455937781],["Cd2+","Ga2+",0.4455937781],["Ga2+","In3+",0.4397335588],["In3+","Ga2+",0.4397335588],["Ga2+","In2+",0.5183320247],["In2+","Ga2+",0.5183320247],["Ga2+","Sn4+",0.2627607298],["Sn4+","Ga2+",0.2627607298],["Ga2+","Sn3+",0.1158928223],["Sn3+","Ga2+",0.1158928223],["Ga2+","Sn2+",0.30299931],["Sn2+","Ga2+",0.30299931],["Ga2+","Sb5+",0.0264200161],["Sb5+","Ga2+",0.0264200161],["Ga2+","Sb2-",-0.1149410608],["Sb2-","Ga2+",-0.1149410608],["Ga2+","Sb3-",0.1244191926],["Sb3-","Ga2+",0.1244191926],["Ga2+","Sb3+",0.2881688264],["Sb3+","Ga2+",0.2881688264],["Ga2+","Sb4+",-0.0061707443],["Sb4+","Ga2+",-0.0061707443],["Ga2+","Te2-",0.2603335126],["Te2-","Ga2+",0.2603335126],["Ga2+","Te4+",0.2177751076],["Te4+","Ga2+",0.2177751076],["Ga2+","Te6+",-0.1026855668],["Te6+","Ga2+",-0.1026855668],["Ga2+","Te2+",0.1724736912],["Te2+","Ga2+",0.1724736912],["Ga2+","Te5+",0.2268784545],["Te5+","Ga2+",0.2268784545],["Ga2+","I3+",0.045709518],["I3+","Ga2+",0.045709518],["Ga2+","I7+",-0.1416076513],["I7+","Ga2+",-0.1416076513],["Ga2+","I5+",-0.0189400276],["I5+","Ga2+",-0.0189400276],["Ga2+","I2+",-0.0288889177],["I2+","Ga2+",-0.0288889177],["Ga2+","Ba2+",0.2839547906],["Ba2+","Ga2+",0.2839547906],["Ga2+","La3+",0.3392334638],["La3+","Ga2+",0.3392334638],["Ga2+","La2+",0.3494979741],["La2+","Ga2+",0.3494979741],["Ga2+","Ce3+",0.364960024],["Ce3+","Ga2+",0.364960024],["Ga2+","Ce2+",0.4083368628],["Ce2+","Ga2+",0.4083368628],["Ga2+","Ce4+",0.0842832214],["Ce4+","Ga2+",0.0842832214],["Ga2+","Pr3+",0.2495386163],["Pr3+","Ga2+",0.2495386163],["Ga2+","Pr4+",0.0519654005],["Pr4+","Ga2+",0.0519654005],["Ga2+","Pr2+",0.2933014188],["Pr2+","Ga2+",0.2933014188],["Ga2+","Nd3+",0.197956809],["Nd3+","Ga2+",0.197956809],["Ga2+","Nd2+",0.3252745916],["Nd2+","Ga2+",0.3252745916],["Ga2+","Pm3+",0.4006792169],["Pm3+","Ga2+",0.4006792169],["Ga2+","Sm3+",0.27013071],["Sm3+","Ga2+",0.27013071],["Ga2+","Sm2+",0.4218399876],["Sm2+","Ga2+",0.4218399876],["Ga2+","Eu2+",0.3970188278],["Eu2+","Ga2+",0.3970188278],["Ga2+","Eu3+",0.2199145894],["Eu3+","Ga2+",0.2199145894],["Ga2+","Gd2+",0.1620987034],["Gd2+","Ga2+",0.1620987034],["Ga2+","Gd3+",0.2423089481],["Gd3+","Ga2+",0.2423089481],["Ga2+","Tb3+",0.2641509137],["Tb3+","Ga2+",0.2641509137],["Ga2+","Tb2+",0.3211035727],["Tb2+","Ga2+",0.3211035727],["Ga2+","Tb4+",-0.0452818958],["Tb4+","Ga2+",-0.0452818958],["Ga2+","Dy3+",0.2297966058],["Dy3+","Ga2+",0.2297966058],["Ga2+","Dy2+",0.339444878],["Dy2+","Ga2+",0.339444878],["Ga2+","Ho3+",0.2506202871],["Ho3+","Ga2+",0.2506202871],["Ga2+","Ho2+",0.3058184989],["Ho2+","Ga2+",0.3058184989],["Ga2+","Er3+",0.1654853775],["Er3+","Ga2+",0.1654853775],["Ga2+","Tm3+",0.2175753782],["Tm3+","Ga2+",0.2175753782],["Ga2+","Tm2+",0.3967585787],["Tm2+","Ga2+",0.3967585787],["Ga2+","Yb3+",0.1598643299],["Yb3+","Ga2+",0.1598643299],["Ga2+","Yb2+",0.3738990931],["Yb2+","Ga2+",0.3738990931],["Ga2+","Lu3+",0.0829574499],["Lu3+","Ga2+",0.0829574499],["Ga2+","Hf3+",0.3624338094],["Hf3+","Ga2+",0.3624338094],["Ga2+","Hf2+",0.082626429],["Hf2+","Ga2+",0.082626429],["Ga2+","Hf4+",0.0621375426],["Hf4+","Ga2+",0.0621375426],["Ga2+","Ta5+",0.1700834422],["Ta5+","Ga2+",0.1700834422],["Ga2+","Ta3+",0.232475269],["Ta3+","Ga2+",0.232475269],["Ga2+","Ta4+",0.385170806],["Ta4+","Ga2+",0.385170806],["Ga2+","Ta2+",0.3806224547],["Ta2+","Ga2+",0.3806224547],["Ga2+","W6+",0.0635682785],["W6+","Ga2+",0.0635682785],["Ga2+","W4+",0.2970775981],["W4+","Ga2+",0.2970775981],["Ga2+","W2+",0.5001559048],["W2+","Ga2+",0.5001559048],["Ga2+","W3+",0.3433224552],["W3+","Ga2+",0.3433224552],["Ga2+","W5+",0.153199921],["W5+","Ga2+",0.153199921],["Ga2+","Re5+",0.4094608611],["Re5+","Ga2+",0.4094608611],["Ga2+","Re3+",0.443357762],["Re3+","Ga2+",0.443357762],["Ga2+","Re6+",-0.0307251133],["Re6+","Ga2+",-0.0307251133],["Ga2+","Re2+",0.1607340191],["Re2+","Ga2+",0.1607340191],["Ga2+","Re4+",0.41488017],["Re4+","Ga2+",0.41488017],["Ga2+","Re7+",0.1202358907],["Re7+","Ga2+",0.1202358907],["Ga2+","Os7+",-0.1220560613],["Os7+","Ga2+",-0.1220560613],["Ga2+","Os6+",-0.0863253292],["Os6+","Ga2+",-0.0863253292],["Ga2+","Os5+",0.1947683058],["Os5+","Ga2+",0.1947683058],["Ga2+","Os2-",0.1131051623],["Os2-","Ga2+",0.1131051623],["Ga2+","Os3+",0.2036393442],["Os3+","Ga2+",0.2036393442],["Ga2+","Os4+",0.3378119958],["Os4+","Ga2+",0.3378119958],["Ga2+","Os8+",0.0923431806],["Os8+","Ga2+",0.0923431806],["Ga2+","Os2+",0.2041161455],["Os2+","Ga2+",0.2041161455],["Ga2+","Ir3+",0.185649447],["Ir3+","Ga2+",0.185649447],["Ga2+","Ir4+",0.2900303776],["Ir4+","Ga2+",0.2900303776],["Ga2+","Ir5+",0.3110305358],["Ir5+","Ga2+",0.3110305358],["Ga2+","Ir6+",0.0399367016],["Ir6+","Ga2+",0.0399367016],["Ga2+","Pt2+",0.3546233506],["Pt2+","Ga2+",0.3546233506],["Ga2+","Pt2-",0.2549086205],["Pt2-","Ga2+",0.2549086205],["Ga2+","Pt4+",0.1946237895],["Pt4+","Ga2+",0.1946237895],["Ga2+","Pt3+",0.1727335258],["Pt3+","Ga2+",0.1727335258],["Ga2+","Pt5+",0.2961163863],["Pt5+","Ga2+",0.2961163863],["Ga2+","Pt6+",0.0358519294],["Pt6+","Ga2+",0.0358519294],["Ga2+","Au2+",0.1981651026],["Au2+","Ga2+",0.1981651026],["Ga2+","Au3+",0.1323269507],["Au3+","Ga2+",0.1323269507],["Ga2+","Au5+",0.0708989889],["Au5+","Ga2+",0.0708989889],["Ga2+","Au4+",0.0209442103],["Au4+","Ga2+",0.0209442103],["Ga2+","Hg2+",0.3562491203],["Hg2+","Ga2+",0.3562491203],["Ga2+","Tl3+",0.0798526399],["Tl3+","Ga2+",0.0798526399],["Ga2+","Tl2+",0.1034635247],["Tl2+","Ga2+",0.1034635247],["Ga2+","Pb2+",0.3306475547],["Pb2+","Ga2+",0.3306475547],["Ga2+","Pb3+",0.1896211692],["Pb3+","Ga2+",0.1896211692],["Ga2+","Pb4+",0.0790501893],["Pb4+","Ga2+",0.0790501893],["Ga2+","Bi3+",0.3518873332],["Bi3+","Ga2+",0.3518873332],["Ga2+","Bi5+",0.0378116653],["Bi5+","Ga2+",0.0378116653],["Ga2+","Bi2+",0.4378571801],["Bi2+","Ga2+",0.4378571801],["Ga2+","Bi3-",0.0959641227],["Bi3-","Ga2+",0.0959641227],["Ga2+","Bi4+",-0.115812578],["Bi4+","Ga2+",-0.115812578],["Ga2+","Ac3+",0.349682632],["Ac3+","Ga2+",0.349682632],["Ga2+","Th4+",-0.0572453654],["Th4+","Ga2+",-0.0572453654],["Ga2+","Th3+",0.2058150455],["Th3+","Ga2+",0.2058150455],["Ga2+","Pa4+",0.358969567],["Pa4+","Ga2+",0.358969567],["Ga2+","Pa5+",0.0301245415],["Pa5+","Ga2+",0.0301245415],["Ga2+","Pa3+",0.3396007003],["Pa3+","Ga2+",0.3396007003],["Ga2+","U6+",0.0974311944],["U6+","Ga2+",0.0974311944],["Ga2+","U4+",0.1382567016],["U4+","Ga2+",0.1382567016],["Ga2+","U3+",0.2526358016],["U3+","Ga2+",0.2526358016],["Ga2+","U2+",0.4857002579],["U2+","Ga2+",0.4857002579],["Ga2+","U5+",0.0028824382],["U5+","Ga2+",0.0028824382],["Ga2+","Np6+",0.1633517223],["Np6+","Ga2+",0.1633517223],["Ga2+","Np4+",0.0683562629],["Np4+","Ga2+",0.0683562629],["Ga2+","Np3+",0.4357665938],["Np3+","Ga2+",0.4357665938],["Ga2+","Np7+",0.2586874864],["Np7+","Ga2+",0.2586874864],["Ga2+","Np5+",0.3484767672],["Np5+","Ga2+",0.3484767672],["Ga2+","Pu7+",0.0374447267],["Pu7+","Ga2+",0.0374447267],["Ga2+","Pu6+",0.3055048007],["Pu6+","Ga2+",0.3055048007],["Ga2+","Pu3+",0.2020411239],["Pu3+","Ga2+",0.2020411239],["Ga2+","Pu4+",0.0460393242],["Pu4+","Ga2+",0.0460393242],["Ga2+","Pu5+",0.3179151771],["Pu5+","Ga2+",0.3179151771],["Ga2+","H1+",-0.2341216511],["H1+","Ga2+",-0.2341216511],["Ga2+","H1-",0.0102380006],["H1-","Ga2+",0.0102380006],["Ga2+","Li1+",0.0409776233],["Li1+","Ga2+",0.0409776233],["Ga2+","B1+",0.2170186224],["B1+","Ga2+",0.2170186224],["Ga2+","B1-",-0.0511564076],["B1-","Ga2+",-0.0511564076],["Ga2+","C1-",0.0664200156],["C1-","Ga2+",0.0664200156],["Ga2+","C1+",0.08253618],["C1+","Ga2+",0.08253618],["Ga2+","N1-",0.0165523606],["N1-","Ga2+",0.0165523606],["Ga2+","N1+",0.2257199425],["N1+","Ga2+",0.2257199425],["Ga2+","O1-",0.0518785798],["O1-","Ga2+",0.0518785798],["Ga2+","F1-",0.0237346219],["F1-","Ga2+",0.0237346219],["Ga2+","Na1+",0.2305869167],["Na1+","Ga2+",0.2305869167],["Ga2+","Si1-",0.0287576195],["Si1-","Ga2+",0.0287576195],["Ga2+","P1+",0.2282672844],["P1+","Ga2+",0.2282672844],["Ga2+","P1-",0.0087982513],["P1-","Ga2+",0.0087982513],["Ga2+","S1-",0.0428495063],["S1-","Ga2+",0.0428495063],["Ga2+","S1+",0.2066272895],["S1+","Ga2+",0.2066272895],["Ga2+","Cl1-",0.1742625374],["Cl1-","Ga2+",0.1742625374],["Ga2+","K1+",0.2234434876],["K1+","Ga2+",0.2234434876],["Ga2+","Sc1+",0.4002408797],["Sc1+","Ga2+",0.4002408797],["Ga2+","Mn1+",0.088297323],["Mn1+","Ga2+",0.088297323],["Ga2+","Fe1+",0.295482097],["Fe1+","Ga2+",0.295482097],["Ga2+","Co1+",0.2116095276],["Co1+","Ga2+",0.2116095276],["Ga2+","Ni1+",0.3632290873],["Ni1+","Ga2+",0.3632290873],["Ga2+","Cu1+",0.4425279872],["Cu1+","Ga2+",0.4425279872],["Ga2+","Ga1+",0.2263388383],["Ga1+","Ga2+",0.2263388383],["Ga2+","As1-",0.1051157599],["As1-","Ga2+",0.1051157599],["Ga2+","As1+",0.3787871174],["As1+","Ga2+",0.3787871174],["Ga2+","Se1-",0.0394228372],["Se1-","Ga2+",0.0394228372],["Ga2+","Se1+",0.2783170191],["Se1+","Ga2+",0.2783170191],["Ga2+","Br1-",0.14276557],["Br1-","Ga2+",0.14276557],["Ga2+","Br1+",-0.0455264178],["Br1+","Ga2+",-0.0455264178],["Ga2+","Rb1+",0.2881273799],["Rb1+","Ga2+",0.2881273799],["Ga2+","Y1+",-0.0437282483],["Y1+","Ga2+",-0.0437282483],["Ga2+","Zr1+",0.2485391602],["Zr1+","Ga2+",0.2485391602],["Ga2+","Nb1+",0.3204301105],["Nb1+","Ga2+",0.3204301105],["Ga2+","Tc1-",0.1705823669],["Tc1-","Ga2+",0.1705823669],["Ga2+","Tc1+",0.3825023022],["Tc1+","Ga2+",0.3825023022],["Ga2+","Rh1+",0.2991224291],["Rh1+","Ga2+",0.2991224291],["Ga2+","Ag1+",0.4045555628],["Ag1+","Ga2+",0.4045555628],["Ga2+","In1+",0.3665396964],["In1+","Ga2+",0.3665396964],["Ga2+","Sb1-",0.1966395917],["Sb1-","Ga2+",0.1966395917],["Ga2+","Sb1+",0.0972542562],["Sb1+","Ga2+",0.0972542562],["Ga2+","Te1-",0.0924286746],["Te1-","Ga2+",0.0924286746],["Ga2+","Te1+",0.2842993569],["Te1+","Ga2+",0.2842993569],["Ga2+","I1-",0.1466471713],["I1-","Ga2+",0.1466471713],["Ga2+","I1+",-0.0118333343],["I1+","Ga2+",-0.0118333343],["Ga2+","Cs1+",0.3607582797],["Cs1+","Ga2+",0.3607582797],["Ga2+","La1+",0.2587311],["La1+","Ga2+",0.2587311],["Ga2+","Tb1+",0.240410045],["Tb1+","Ga2+",0.240410045],["Ga2+","Ta1+",0.3331385338],["Ta1+","Ga2+",0.3331385338],["Ga2+","Os1-",0.1823147051],["Os1-","Ga2+",0.1823147051],["Ga2+","Os1+",0.1661232257],["Os1+","Ga2+",0.1661232257],["Ga2+","Pt1-",0.1904925994],["Pt1-","Ga2+",0.1904925994],["Ga2+","Pt1+",0.2384814469],["Pt1+","Ga2+",0.2384814469],["Ga2+","Au1-",-0.0747609612],["Au1-","Ga2+",-0.0747609612],["Ga2+","Au1+",0.2726423738],["Au1+","Ga2+",0.2726423738],["Ga2+","Hg1+",0.2062541002],["Hg1+","Ga2+",0.2062541002],["Ga2+","Tl1+",0.3309985324],["Tl1+","Ga2+",0.3309985324],["Ga2+","Bi1+",0.4730137237],["Bi1+","Ga2+",0.4730137237],["Ge4-","Ge4-",1.0],["Ge4-","Ge4+",0.0078033647],["Ge4+","Ge4-",0.0078033647],["Ge4-","Ge2-",0.7390539394],["Ge2-","Ge4-",0.7390539394],["Ge4-","Ge2+",0.1120518517],["Ge2+","Ge4-",0.1120518517],["Ge4-","Ge3+",-0.0101778848],["Ge3+","Ge4-",-0.0101778848],["Ge4-","As2-",0.1933526206],["As2-","Ge4-",0.1933526206],["Ge4-","As3+",-0.1210024595],["As3+","Ge4-",-0.1210024595],["Ge4-","As5+",-0.2130533134],["As5+","Ge4-",-0.2130533134],["Ge4-","As3-",0.3155663672],["As3-","Ge4-",0.3155663672],["Ge4-","As2+",-0.06500339],["As2+","Ge4-",-0.06500339],["Ge4-","As4+",-0.0564046522],["As4+","Ge4-",-0.0564046522],["Ge4-","Se2-",0.3903987853],["Se2-","Ge4-",0.3903987853],["Ge4-","Se4+",-0.1537662932],["Se4+","Ge4-",-0.1537662932],["Ge4-","Se6+",-0.1159885969],["Se6+","Ge4-",-0.1159885969],["Ge4-","Se5+",0.0328622964],["Se5+","Ge4-",0.0328622964],["Ge4-","Se2+",-0.0799432757],["Se2+","Ge4-",-0.0799432757],["Ge4-","Se3+",-0.0378549082],["Se3+","Ge4-",-0.0378549082],["Ge4-","Br2+",0.072007662],["Br2+","Ge4-",0.072007662],["Ge4-","Br5+",-0.0426953998],["Br5+","Ge4-",-0.0426953998],["Ge4-","Br3+",-0.008312793],["Br3+","Ge4-",-0.008312793],["Ge4-","Sr2+",0.0429958028],["Sr2+","Ge4-",0.0429958028],["Ge4-","Y3+",0.0855714196],["Y3+","Ge4-",0.0855714196],["Ge4-","Y2+",0.0170561803],["Y2+","Ge4-",0.0170561803],["Ge4-","Zr2+",0.0393925743],["Zr2+","Ge4-",0.0393925743],["Ge4-","Zr4+",-0.0997459187],["Zr4+","Ge4-",-0.0997459187],["Ge4-","Zr3+",0.0844211651],["Zr3+","Ge4-",0.0844211651],["Ge4-","Nb5+",-0.0272870879],["Nb5+","Ge4-",-0.0272870879],["Ge4-","Nb3+",0.2378103066],["Nb3+","Ge4-",0.2378103066],["Ge4-","Nb4+",-0.066421144],["Nb4+","Ge4-",-0.066421144],["Ge4-","Nb2+",0.2780801516],["Nb2+","Ge4-",0.2780801516],["Ge4-","Nb7+",0.0008385386],["Nb7+","Ge4-",0.0008385386],["Ge4-","Mo3+",0.1364947711],["Mo3+","Ge4-",0.1364947711],["Ge4-","Mo4+",0.20134097],["Mo4+","Ge4-",0.20134097],["Ge4-","Mo6+",-0.0958487677],["Mo6+","Ge4-",-0.0958487677],["Ge4-","Mo5+",-0.2701142275],["Mo5+","Ge4-",-0.2701142275],["Ge4-","Mo2+",0.044336038],["Mo2+","Ge4-",0.044336038],["Ge4-","Tc4+",-0.111911934],["Tc4+","Ge4-",-0.111911934],["Ge4-","Tc3-",0.1054418922],["Tc3-","Ge4-",0.1054418922],["Ge4-","Tc3+",-0.0232079701],["Tc3+","Ge4-",-0.0232079701],["Ge4-","Tc7+",0.0822619649],["Tc7+","Ge4-",0.0822619649],["Ge4-","Tc5+",-0.0404017857],["Tc5+","Ge4-",-0.0404017857],["Ge4-","Tc6+",-0.16054163],["Tc6+","Ge4-",-0.16054163],["Ge4-","Tc2-",0.2407898021],["Tc2-","Ge4-",0.2407898021],["Ge4-","Tc2+",0.0548203194],["Tc2+","Ge4-",0.0548203194],["Ge4-","Ru2+",0.2261426019],["Ru2+","Ge4-",0.2261426019],["Ge4-","Ru6+",0.0057334732],["R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Sb5+",0.3620336205],["Sb5+","Br1-",0.1563276748],["Br1-","Sb5+",0.1563276748],["Sb5+","Br1+",0.4373531826],["Br1+","Sb5+",0.4373531826],["Sb5+","Rb1+",0.5485282086],["Rb1+","Sb5+",0.5485282086],["Sb5+","Y1+",0.0688492077],["Y1+","Sb5+",0.0688492077],["Sb5+","Zr1+",-0.1430199138],["Zr1+","Sb5+",-0.1430199138],["Sb5+","Nb1+",0.0449450815],["Nb1+","Sb5+",0.0449450815],["Sb5+","Tc1-",-0.0170520364],["Tc1-","Sb5+",-0.0170520364],["Sb5+","Tc1+",0.1528045116],["Tc1+","Sb5+",0.1528045116],["Sb5+","Rh1+",-0.1217505548],["Rh1+","Sb5+",-0.1217505548],["Sb5+","Ag1+",0.2330924782],["Ag1+","Sb5+",0.2330924782],["Sb5+","In1+",0.1516421484],["In1+","Sb5+",0.1516421484],["Sb5+","Sb1-",-0.0486897169],["Sb1-","Sb5+",-0.0486897169],["Sb5+","Sb1+",0.271337684],["Sb1+","Sb5+",0.271337684],["Sb5+","Te1-",0.2458043457],["Te1-","Sb5+",0.2458043457],["Sb5+","Te1+",0.282894161],["Te1+","Sb5+",0.282894161],["Sb5+","I1-",0.0097107595],["I1-","Sb5+",0.0097107595],["Sb5+","I1+",0.5337314637],["I1+","Sb5+",0.5337314637],["Sb5+","Cs1+",0.5318982328],["Cs1+","Sb5+",0.5318982328],["Sb5+","La1+",-0.0551625735],["La1+","Sb5+",-0.0551625735],["Sb5+","Tb1+",-0.0720871056],["Tb1+","Sb5+",-0.0720871056],["Sb5+","Ta1+",-0.1472450137],["Ta1+","Sb5+",-0.1472450137],["Sb5+","Os1-",-0.0862791454],["Os1-","Sb5+",-0.0862791454],["Sb5+","Os1+",0.3486880725],["Os1+","Sb5+",0.3486880725],["Sb5+","Pt1-",-0.3230610137],["Pt1-","Sb5+",-0.3230610137],["Sb5+","Pt1+",0.1913220904],["Pt1+","Sb5+",0.1913220904],["Sb5+","Au1-",-0.0073754144],["Au1-","Sb5+",-0.0073754144],["Sb5+","Au1+",0.2365428988],["Au1+","Sb5+",0.2365428988],["Sb5+","Hg1+",0.4656508939],["Hg1+","Sb5+",0.4656508939],["Sb5+","Tl1+",0.504835697],["Tl1+","Sb5+",0.504835697],["Sb5+","Bi1+",0.0584458809],["Bi1+","Sb5+",0.0584458809],["Sb2-","Sb2-",1.0],["Sb2-","Sb3-",0.6744482021],["Sb3-","Sb2-",0.6744482021],["Sb2-","Sb3+",-0.2529392009],["Sb3+","Sb2-",-0.2529392009],["Sb2-","Sb4+",0.0398435355],["Sb4+","Sb2-",0.0398435355],["Sb2-","Te2-",0.2017688931],["Te2-","Sb2-",0.2017688931],["Sb2-","Te4+",-0.0900596872],["Te4+","Sb2-",-0.0900596872],["Sb2-","Te6+",0.0457529549],["Te6+","Sb2-",0.0457529549],["Sb2-","Te2+",-0.0532800698],["Te2+","Sb2-",-0.0532800698],["Sb2-","Te5+",0.0106240892],["Te5+","Sb2-",0.0106240892],["Sb2-","I3+",-0.0594923968],["I3+","Sb2-",-0.0594923968],["Sb2-","I7+",0.1542976612],["I7+","Sb2-",0.1542976612],["Sb2-","I5+",0.0048361548],["I5+","Sb2-",0.0048361548],["Sb2-","I2+",0.1481976803],["I2+","Sb2-",0.1481976803],["Sb2-","Ba2+",0.0092231497],["Ba2+","Sb2-",0.0092231497],["Sb2-","La3+",-0.0280730048],["La3+","Sb2-",-0.0280730048],["Sb2-","La2+",-0.0189355664],["La2+","Sb2-",-0.0189355664],["Sb2-","Ce3+",0.0231564952],["Ce3+","Sb2-",0.0231564952],["Sb2-","Ce2+",-0.0231043716],["Ce2+","Sb2-",-0.0231043716],["Sb2-","Ce4+",0.1047651039],["Ce4+","Sb2-",0.1047651039],["Sb2-","Pr3+",-0.028194773],["Pr3+","Sb2-",-0.028194773],["Sb2-","Pr4+",-0.1948423358],["Pr4+","Sb2-",-0.1948423358],["Sb2-","Pr2+",-0.1584732101],["Pr2+","Sb2-",-0.1584732101],["Sb2-","Nd3+",-0.0343990352],["Nd3+","Sb2-",-0.0343990352],["Sb2-","Nd2+",-0.0720753946],["Nd2+","Sb2-",-0.0720753946],["Sb2-","Pm3+",-0.0957105775],["Pm3+","Sb2-",-0.0957105775],["Sb2-","Sm3+",-0.0749460742],["Sm3+","Sb2-",-0.0749460742],["Sb2-","Sm2+",0.0259600293],["Sm2+","Sb2-",0.0259600293],["Sb2-","Eu2+",0.0230048927],["Eu2+","Sb2-",0.0230048927],["Sb2-","Eu3+",0.0541974069],["Eu3+","Sb2-",0.0541974069],["Sb2-","Gd2+",-0.1405540356],["Gd2+","Sb2-",-0.1405540356],["Sb2-","Gd3+",-0.2389453114],["Gd3+","Sb2-",-0.2389453114],["Sb2-","Tb3+",-0.1189406039],["Tb3+","Sb2-",-0.1189406039],["Sb2-","Tb2+",0.0091968899],["Tb2+","Sb2-",0.0091968899],["Sb2-","Tb4+",-0.1032303872],["Tb4+","Sb2-",-0.1032303872],["Sb2-","Dy3+",-0.1288053112],["Dy3+","Sb2-",-0.1288053112],["Sb2-","Dy2+",-0.1169123784],["Dy2+","Sb2-",-0.1169123784],["Sb2-","Ho3+",-0.2699690967],["Ho3+","Sb2-",-0.2699690967],["Sb2-","Ho2+",-0.1178797216],["Ho2+","Sb2-",-0.1178797216],["Sb2-","Er3+",-0.2471576724],["Er3+","Sb2-",-0.2471576724],["Sb2-","Tm3+",-0.127509218],["Tm3+","Sb2-",-0.127509218],["Sb2-","Tm2+",-0.1683602473],["Tm2+","Sb2-",-0.1683602473],["Sb2-","Yb3+",0.0303609522],["Yb3+","Sb2-",0.0303609522],["Sb2-","Yb2+",-0.070988579],["Yb2+","Sb2-",-0.070988579],["Sb2-","Lu3+",-0.2517011856],["Lu3+","Sb2-",-0.2517011856],["Sb2-","Hf3+",-0.0833147612],["Hf3+","Sb2-",-0.0833147612],["Sb2-","Hf2+",-0.0589466199],["Hf2+","Sb2-",-0.0589466199],["Sb2-","Hf4+",0.1199431605],["Hf4+","Sb2-",0.1199431605],["Sb2-","Ta5+",-0.1759711568],["Ta5+","Sb2-",-0.1759711568],["Sb2-","Ta3+",-0.1351417808],["Ta3+","Sb2-",-0.1351417808],["Sb2-","Ta4+",-0.1959987199],["Ta4+","Sb2-",-0.1959987199],["Sb2-","Ta2+",-0.3303656988],["Ta2+","Sb2-",-0.3303656988],["Sb2-","W6+",-0.061115135],["W6+","Sb2-",-0.061115135],["Sb2-","W4+",-0.2914599839],["W4+","Sb2-",-0.2914599839],["Sb2-","W2+",-0.3471172147],["W2+","Sb2-",-0.3471172147],["Sb2-","W3+",-0.3002930659],["W3+","Sb2-",-0.3002930659],["Sb2-","W5+",-0.1215272596],["W5+","Sb2-",-0.1215272596],["Sb2-","Re5+",-0.1991765856],["Re5+","Sb2-",-0.1991765856],["Sb2-","Re3+",-0.3517118624],["Re3+","Sb2-",-0.3517118624],["Sb2-","Re6+",-0.0332122936],["Re6+","Sb2-",-0.0332122936],["Sb2-","Re2+",-0.2057904994],["Re2+","Sb2-",-0.2057904994],["Sb2-","Re4+",-0.290163447],["Re4+","Sb2-",-0.290163447],["Sb2-","Re7+",-0.1755632497],["Re7+","Sb2-",-0.1755632497],["Sb2-","Os7+",0.0246625438],["Os7+","Sb2-",0.0246625438],["Sb2-","Os6+",0.0097060925],["Os6+","Sb2-",0.0097060925],["Sb2-","Os5+",-0.0666832403],["Os5+","Sb2-",-0.0666832403],["Sb2-","Os2-",-0.1617774237],["Os2-","Sb2-",-0.1617774237],["Sb2-","Os3+",-0.0941596053],["Os3+","Sb2-",-0.0941596053],["Sb2-","Os4+",-0.1986956391],["Os4+","Sb2-",-0.1986956391],["Sb2-","Os8+",0.0354491221],["Os8+","Sb2-",0.0354491221],["Sb2-","Os2+",-0.1889564882],["Os2+","Sb2-",-0.1889564882],["Sb2-","Ir3+",-0.1775136606],["Ir3+","Sb2-",-0.1775136606],["Sb2-","Ir4+",-0.0379483464],["Ir4+","Sb2-",-0.0379483464],["Sb2-","Ir5+",-0.0881379505],["Ir5+","Sb2-",-0.0881379505],["Sb2-","Ir6+",0.0133104557],["Ir6+","Sb2-",0.0133104557],["Sb2-","Pt2+",-0.0634303605],["Pt2+","Sb2-",-0.0634303605],["Sb2-","Pt2-",0.0137393619],["Pt2-","Sb2-",0.0137393619],["Sb2-","Pt4+",-0.1301202418],["Pt4+","Sb2-",-0.1301202418],["Sb2-","Pt3+",-0.0777109644],["Pt3+","Sb2-",-0.0777109644],["Sb2-","Pt5+",0.0543695535],["Pt5+","Sb2-",0.0543695535],["Sb2-","Pt6+",0.0298864238],["Pt6+","Sb2-",0.0298864238],["Sb2-","Au2+",0.0848687123],["Au2+","Sb2-",0.0848687123],["Sb2-","Au3+",-0.1380560343],["Au3+","Sb2-",-0.1380560343],["Sb2-","Au5+",-0.2582231432],["Au5+","Sb2-",-0.2582231432],["Sb2-","Au4+",0.0174734956],["Au4+","Sb2-",0.0174734956],["Sb2-","Hg2+",0.0363652717],["Hg2+","Sb2-",0.0363652717],["Sb2-","Tl3+",0.0152973561],["Tl3+","Sb2-",0.0152973561],["Sb2-","Tl2+",-0.1008703756],["Tl2+","Sb2-",-0.1008703756],["Sb2-","Pb2+",-0.0115631516],["Pb2+","Sb2-",-0.0115631516],["Sb2-","Pb3+",0.057950362],["Pb3+","Sb2-",0.057950362],["Sb2-","Pb4+",-0.0528687687],["Pb4+","Sb2-",-0.0528687687],["Sb2-","Bi3+",-0.1219880766],["Bi3+","Sb2-",-0.1219880766],["Sb2-","Bi5+",-0.0485591578],["Bi5+","Sb2-",-0.0485591578],["Sb2-","Bi2+",-0.0252849572],["Bi2+","Sb2-",-0.0252849572],["Sb2-","Bi3-",0.433024096],["Bi3-","Sb2-",0.433024096],["Sb2-","Bi4+",0.0706145858],["Bi4+","Sb2-",0.0706145858],["Sb2-","Ac3+",-0.0603053969],["Ac3+","Sb2-",-0.0603053969],["Sb2-","Th4+",0.057398224],["Th4+","Sb2-",0.057398224],["Sb2-","Th3+",-0.0273519449],["Th3+","Sb2-",-0.0273519449],["Sb2-","Pa4+",-0.0487547611],["Pa4+","Sb2-",-0.0487547611],["Sb2-","Pa5+",-0.0155245779],["Pa5+","Sb2-",-0.0155245779],["Sb2-","Pa3+",-0.2105375265],["Pa3+","Sb2-",-0.2105375265],["Sb2-","U6+",0.0210414331],["U6+","Sb2-",0.0210414331],["Sb2-","U4+",-0.1026610101],["U4+","Sb2-",-0.1026610101],["Sb2-","U3+",-0.1433347984],["U3+","Sb2-",-0.1433347984],["Sb2-","U2+",-0.03849118],["U2+","Sb2-",-0.03849118],["Sb2-","U5+",-0.0412335265],["U5+","Sb2-",-0.0412335265],["Sb2-","Np6+",0.0514830476],["Np6+","Sb2-",0.0514830476],["Sb2-","Np4+",-0.0387762446],["Np4+","Sb2-",-0.0387762446],["Sb2-","Np3+",-0.1713720808],["Np3+","Sb2-",-0.1713720808],["Sb2-","Np7+",0.0129560726],["Np7+","Sb2-",0.0129560726],["Sb2-","Np5+",-0.1161086792],["Np5+","Sb2-",-0.1161086792],["Sb2-","Pu7+",0.0810556828],["Pu7+","Sb2-",0.0810556828],["Sb2-","Pu6+",-0.0801294549],["Pu6+","Sb2-",-0.0801294549],["Sb2-","Pu3+",-0.273967294],["Pu3+","Sb2-",-0.273967294],["Sb2-","Pu4+",-0.041583305],["Pu4+","Sb2-",-0.041583305],["Sb2-","Pu5+",-0.1014542875],["Pu5+","Sb2-",-0.1014542875],["Sb2-","H1+",-0.0563190129],["H1+","Sb2-",-0.0563190129],["Sb2-","H1-",-0.045559703],["H1-","Sb2-",-0.045559703],["Sb2-","Li1+",0.1074651951],["Li1+","Sb2-",0.1074651951],["Sb2-","B1+",-0.2778086446],["B1+","Sb2-",-0.2778086446],["Sb2-","B1-",0.0691928668],["B1-","Sb2-",0.0691928668],["Sb2-","C1-",-0.0960432894],["C1-","Sb2-",-0.0960432894],["Sb2-","C1+",-0.10243766],["C1+","Sb2-",-0.10243766],["Sb2-","N1-",0.0668479186],["N1-","Sb2-",0.0668479186],["Sb2-","N1+",-0.0215987035],["N1+","Sb2-",-0.0215987035],["Sb2-","O1-",0.1898800101],["O1-","Sb2-",0.1898800101],["Sb2-","F1-",0.2134606088],["F1-","Sb2-",0.2134606088],["Sb2-","Na1+",0.0683648044],["Na1+","Sb2-",0.0683648044],["Sb2-","Si1-",0.104785591],["Si1-","Sb2-",0.104785591],["Sb2-","P1+",-0.0981772523],["P1+","Sb2-",-0.0981772523],["Sb2-","P1-",0.2447258772],["P1-","Sb2-",0.2447258772],["Sb2-","S1-",0.1227532839],["S1-","Sb2-",0.1227532839],["Sb2-","S1+",-0.0041768515],["S1+","Sb2-",-0.0041768515],["Sb2-","Cl1-",0.1268579432],["Cl1-","Sb2-",0.1268579432],["Sb2-","K1+",0.0397855781],["K1+","Sb2-",0.0397855781],["Sb2-","Sc1+",0.0041425578],["Sc1+","Sb2-",0.0041425578],["Sb2-","Mn1+",0.1061664791],["Mn1+","Sb2-",0.1061664791],["Sb2-","Fe1+",-0.3725651233],["Fe1+","Sb2-",-0.3725651233],["Sb2-","Co1+",-0.2882089045],["Co1+","Sb2-",-0.2882089045],["Sb2-","Ni1+",-0.3073116647],["Ni1+","Sb2-",-0.3073116647],["Sb2-","Cu1+",-0.0784829137],["Cu1+","Sb2-",-0.0784829137],["Sb2-","Ga1+",-0.1245271308],["Ga1+","Sb2-",-0.1245271308],["Sb2-","As1-",0.2095554558],["As1-","Sb2-",0.2095554558],["Sb2-","As1+",-0.0474343057],["As1+","Sb2-",-0.0474343057],["Sb2-","Se1-",0.1474341779],["Se1-","Sb2-",0.1474341779],["Sb2-","Se1+",0.0538950652],["Se1+","Sb2-",0.0538950652],["Sb2-","Br1-",0.2826272989],["Br1-","Sb2-",0.2826272989],["Sb2-","Br1+",-0.0885489412],["Br1+","Sb2-",-0.0885489412],["Sb2-","Rb1+",-0.0017784383],["Rb1+","Sb2-",-0.0017784383],["Sb2-","Y1+",0.084207918],["Y1+","Sb2-",0.084207918],["Sb2-","Zr1+",-0.1257862304],["Zr1+","Sb2-",-0.1257862304],["Sb2-","Nb1+",-0.2356989768],["Nb1+","Sb2-",-0.2356989768],["Sb2-","Tc1-",0.1652456377],["Tc1-","Sb2-",0.1652456377],["Sb2-","Tc1+",-0.067152408],["Tc1+","Sb2-",-0.067152408],["Sb2-","Rh1+",-0.0821595029],["Rh1+","Sb2-",-0.0821595029],["Sb2-","Ag1+",-0.0019261105],["Ag1+","Sb2-",-0.0019261105],["Sb2-","In1+",0.0553954132],["In1+","Sb2-",0.0553954132],["Sb2-","Sb1-",0.498948285],["Sb1-","Sb2-",0.498948285],["Sb2-","Sb1+",0.0230543329],["Sb1+","Sb2-",0.0230543329],["Sb2-","Te1-",0.1993182004],["Te1-","Sb2-",0.1993182004],["Sb2-","Te1+",-0.0186769576],["Te1+","Sb2-",-0.0186769576],["Sb2-","I1-",0.2110739587],["I1-","Sb2-",0.2110739587],["Sb2-","I1+",0.0274846489],["I1+","Sb2-",0.0274846489],["Sb2-","Cs1+",-0.103684067],["Cs1+","Sb2-",-0.103684067],["Sb2-","La1+",-0.0375884165],["La1+","Sb2-",-0.0375884165],["Sb2-","Tb1+",0.0168718095],["Tb1+","Sb2-",0.0168718095],["Sb2-","Ta1+",-0.2308655436],["Ta1+","Sb2-",-0.2308655436],["Sb2-","Os1-",-0.2451506514],["Os1-","Sb2-",-0.2451506514],["Sb2-","Os1+",-0.0196765906],["Os1+","Sb2-",-0.0196765906],["Sb2-","Pt1-",0.1906218008],["Pt1-","Sb2-",0.1906218008],["Sb2-","Pt1+",-0.2256212094],["Pt1+","Sb2-",-0.2256212094],["Sb2-","Au1-",0.1578064734],["Au1-","Sb2-",0.1578064734],["Sb2-","Au1+",-0.0528281186],["Au1+","Sb2-",-0.0528281186],["Sb2-","Hg1+",0.1251374218],["Hg1+","Sb2-",0.1251374218],["Sb2-","Tl1+",-0.001216182],["Tl1+","Sb2-",-0.001216182],["Sb2-","Bi1+",-0.1330661555],["Bi1+","Sb2-",-0.1330661555],["Sb3-","Sb3-",1.0],["Sb3-","Sb3+",-0.247116496],["Sb3+","Sb3-",-0.247116496],["Sb3-","Sb4+",-0.1352717742],["Sb4+","Sb3-",-0.1352717742],["Sb3-","Te2-",0.3592360359],["Te2-","Sb3-",0.3592360359],["Sb3-","Te4+",-0.1943762467],["Te4+","Sb3-",-0.1943762467],["Sb3-","Te6+",-0.190863754],["Te6+","Sb3-",-0.190863754],["Sb3-","Te2+",-0.0090327973],["Te2+","Sb3-",-0.0090327973],["Sb3-","Te5+",-0.1061432234],["Te5+","Sb3-",-0.1061432234],["Sb3-","I3+",-0.0724403341],["I3+","Sb3-",-0.0724403341],["Sb3-","I7+",-0.0188648531],["I7+","Sb3-",-0.0188648531],["Sb3-","I5+",-0.0535612167],["I5+","Sb3-",-0.0535612167],["Sb3-","I2+",0.1052198542],["I2+","Sb3-",0.1052198542],["Sb3-","Ba2+",-0.0204033776],["Ba2+","Sb3-",-0.0204033776],["Sb3-","La3+",-0.0687775361],["La3+","Sb3-",-0.0687775361],["Sb3-","La2+",0.0656856941],["La2+","Sb3-",0.0656856941],["Sb3-","Ce3+",0.0469207975],["Ce3+","Sb3-",0.0469207975],["Sb3-","Ce2+",0.1290689217],["Ce2+","Sb3-",0.1290689217],["Sb3-","Ce4+",-0.016483901],["Ce4+","Sb3-",-0.016483901],["Sb3-","Pr3+",-0.081451795],["Pr3+","Sb3-",-0.081451795],["Sb3-","Pr4+",-0.221206469],["Pr4+","Sb3-",-0.221206469],["Sb3-","Pr2+",-0.2078660244],["Pr2+","Sb3-",-0.2078660244],["Sb3-","Nd3+",-0.0955790988],["Nd3+","Sb3-",-0.0955790988],["Sb3-","Nd2+",0.0058890215],["Nd2+","Sb3-",0.0058890215],["Sb3-","Pm3+",-0.0436791558],["Pm3+","Sb3-",-0.0436791558],["Sb3-","Sm3+",-0.0632420554],["Sm3+","Sb3-",-0.0632420554],["Sb3-","Sm2+",0.1557467602],["Sm2+","Sb3-",0.1557467602],["Sb3-","Eu2+",0.1240143581],["Eu2+","Sb3-",0.1240143581],["Sb3-","Eu3+",-0.0086576112],["Eu3+","Sb3-",-0.0086576112],["Sb3-","Gd2+",-0.1085506164],["Gd2+","Sb3-",-0.1085506164],["Sb3-","Gd3+",-0.2082533953],["Gd3+","Sb3-",-0.2082533953],["Sb3-","Tb3+",-0.1814722864],["Tb3+","Sb3-",-0.1814722864],["Sb3-","Tb2+",0.0112027035],["Tb2+","Sb3-",0.0112027035],["Sb3-","Tb4+",-0.1381902692],["Tb4+","Sb3-",-0.1381902692],["Sb3-","Dy3+",-0.1263891348],["Dy3+","Sb3-",-0.1263891348],["Sb3-","Dy2+",-0.0006328578],["Dy2+","Sb3-",-0.0006328578],["Sb3-","Ho3+",-0.1757064973],["Ho3+","Sb3-",-0.1757064973],["Sb3-","Ho2+",0.0453882576],["Ho2+","Sb3-",0.0453882576],["Sb3-","Er3+",-0.1827551091],["Er3+","Sb3-",-0.1827551091],["Sb3-","Tm3+",-0.1188604769],["Tm3+","Sb3-",-0.1188604769],["Sb3-","Tm2+",0.0077516508],["Tm2+","Sb3-",0.0077516508],["Sb3-","Yb3+",0.0742721223],["Yb3+","Sb3-",0.0742721223],["Sb3-","Yb2+",0.1294135706],["Yb2+","Sb3-",0.1294135706],["Sb3-","Lu3+",-0.2220048015],["Lu3+","Sb3-",-0.2220048015],["Sb3-","Hf3+",0.0304830953],["Hf3+","Sb3-",0.0304830953],["Sb3-","Hf2+",0.1309245484],["Hf2+","Sb3-",0.1309245484],["Sb3-","Hf4+",-0.0081549056],["Hf4+","Sb3-",-0.0081549056],["Sb3-","Ta5+",-0.2252036365],["Ta5+","Sb3-",-0.2252036365],["Sb3-","Ta3+",-0.1483745239],["Ta3+","Sb3-",-0.1483745239],["Sb3-","Ta4+",-0.086210136],["Ta4+","Sb3-",-0.086210136],["Sb3-","Ta2+",-0.1466039018],["Ta2+","Sb3-",-0.1466039018],["Sb3-","W6+",-0.1353195002],["W6+","S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\ No newline at end of file +[ + ["Be2+", "Be2+", 1.0], + ["Be2+", "B2+", 0.5736733956], + ["B2+", "Be2+", 0.5736733956], + ["Be2+", "B2-", -0.1044816857], + ["B2-", "Be2+", -0.1044816857], + ["Be2+", "B3-", -0.0768666941], + ["B3-", "Be2+", -0.0768666941], + ["Be2+", "B3+", 0.3390007514], + ["B3+", "Be2+", 0.3390007514], + ["Be2+", "C4-", -0.1928578205], + ["C4-", "Be2+", -0.1928578205], + ["Be2+", "C4+", 0.2750951748], + ["C4+", "Be2+", 0.2750951748], + ["Be2+", "C2+", 0.2334535461], + ["C2+", "Be2+", 0.2334535461], + ["Be2+", "C3+", 0.2728127991], + ["C3+", "Be2+", 0.2728127991], + ["Be2+", "C2-", -0.1061521707], + ["C2-", "Be2+", -0.1061521707], + ["Be2+", "C3-", -0.0804958569], + ["C3-", "Be2+", -0.0804958569], + ["Be2+", "N3-", -0.131817328], + ["N3-", "Be2+", -0.131817328], + ["Be2+", "N2+", 0.3609650386], + ["N2+", "Be2+", 0.3609650386], + ["Be2+", "N3+", 0.2937903841], + ["N3+", "Be2+", 0.2937903841], + ["Be2+", "N2-", -0.0380638763], + ["N2-", "Be2+", -0.0380638763], + ["Be2+", "N5+", 0.3134871283], + ["N5+", "Be2+", 0.3134871283], + ["Be2+", "N4+", 0.1812099283], + ["N4+", "Be2+", 0.1812099283], + ["Be2+", "O2-", -0.0554318527], + ["O2-", "Be2+", -0.0554318527], + ["Be2+", "Mg2+", 0.1802066799], + ["Mg2+", "Be2+", 0.1802066799], + ["Be2+", "Al3+", 0.2510494163], + ["Al3+", "Be2+", 0.2510494163], + ["Be2+", "Al2+", -0.0854492723], + ["Al2+", "Be2+", -0.0854492723], + ["Be2+", "Si2+", 0.1229856808], + ["Si2+", "Be2+", 0.1229856808], + ["Be2+", "Si4+", 0.1960656696], + ["Si4+", "Be2+", 0.1960656696], + ["Be2+", "Si2-", -0.1402170935], + ["Si2-", "Be2+", -0.1402170935], + ["Be2+", "Si4-", -0.1548043342], + ["Si4-", "Be2+", -0.1548043342], + ["Be2+", "Si3+", 0.0935122048], + ["Si3+", "Be2+", 0.0935122048], + ["Be2+", "Si3-", -0.189887482], + ["Si3-", "Be2+", -0.189887482], + ["Be2+", "P5+", 0.2453263207], + ["P5+", "Be2+", 0.2453263207], + ["Be2+", "P2-", -0.0744265281], + ["P2-", "Be2+", -0.0744265281], + ["Be2+", "P3-", 0.0947581705], + ["P3-", "Be2+", 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0.0767990963], + ["Zr2+", "Be2+", 0.0767990963], + ["Be2+", "Zr4+", -0.0000478682], + ["Zr4+", "Be2+", -0.0000478682], + ["Be2+", "Zr3+", 0.0785057836], + ["Zr3+", "Be2+", 0.0785057836], + ["Be2+", "Nb5+", 0.0449837581], + ["Nb5+", "Be2+", 0.0449837581], + ["Be2+", "Nb3+", 0.1564487049], + ["Nb3+", "Be2+", 0.1564487049], + ["Be2+", "Nb4+", -0.0406711937], + ["Nb4+", "Be2+", -0.0406711937], + ["Be2+", "Nb2+", 0.1040527882], + ["Nb2+", "Be2+", 0.1040527882], + ["Be2+", "Nb7+", 0.109334042], + ["Nb7+", "Be2+", 0.109334042], + ["Be2+", "Mo3+", 0.1087877356], + ["Mo3+", "Be2+", 0.1087877356], + ["Be2+", "Mo4+", -0.0734603957], + ["Mo4+", "Be2+", -0.0734603957], + ["Be2+", "Mo6+", 0.1357279161], + ["Mo6+", "Be2+", 0.1357279161], + ["Be2+", "Mo5+", 0.3952792153], + ["Mo5+", "Be2+", 0.3952792153], + ["Be2+", "Mo2+", 0.05800674], + ["Mo2+", "Be2+", 0.05800674], + ["Be2+", "Tc4+", 0.2033985694], + ["Tc4+", "Be2+", 0.2033985694], + ["Be2+", "Tc3-", -0.1627350838], + ["Tc3-", "Be2+", 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0.0503567276], + ["Pd4+", "Be2+", 0.0503567276], + ["Be2+", "Pd3+", 0.0453494748], + ["Pd3+", "Be2+", 0.0453494748], + ["Be2+", "Ag3+", 0.2065059666], + ["Ag3+", "Be2+", 0.2065059666], + ["Be2+", "Ag2+", 0.3137447673], + ["Ag2+", "Be2+", 0.3137447673], + ["Be2+", "Cd2+", 0.1617366583], + ["Cd2+", "Be2+", 0.1617366583], + ["Be2+", "In3+", 0.0517089007], + ["In3+", "Be2+", 0.0517089007], + ["Be2+", "In2+", -0.1707432158], + ["In2+", "Be2+", -0.1707432158], + ["Be2+", "Sn4+", 0.0608136386], + ["Sn4+", "Be2+", 0.0608136386], + ["Be2+", "Sn3+", 0.1901649316], + ["Sn3+", "Be2+", 0.1901649316], + ["Be2+", "Sn2+", 0.1342596064], + ["Sn2+", "Be2+", 0.1342596064], + ["Be2+", "Sb5+", 0.5500126679], + ["Sb5+", "Be2+", 0.5500126679], + ["Be2+", "Sb2-", -0.23144765], + ["Sb2-", "Be2+", -0.23144765], + ["Be2+", "Sb3-", -0.1712273087], + ["Sb3-", "Be2+", -0.1712273087], + ["Be2+", "Sb3+", 0.185728877], + ["Sb3+", "Be2+", 0.185728877], + ["Be2+", "Sb4+", 0.1282159392], + ["Sb4+", "Be2+", 0.1282159392], 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+ ["Zr1+", "B2+", 0.3372243232], + ["B2+", "Nb1+", 0.139272089], + ["Nb1+", "B2+", 0.139272089], + ["B2+", "Tc1-", 0.0080965725], + ["Tc1-", "B2+", 0.0080965725], + ["B2+", "Tc1+", 0.1083308924], + ["Tc1+", "B2+", 0.1083308924], + ["B2+", "Rh1+", 0.1342061174], + ["Rh1+", "B2+", 0.1342061174], + ["B2+", "Ag1+", 0.0361402274], + ["Ag1+", "B2+", 0.0361402274], + ["B2+", "In1+", -0.0388699762], + ["In1+", "B2+", -0.0388699762], + ["B2+", "Sb1-", -0.1811887995], + ["Sb1-", "B2+", -0.1811887995], + ["B2+", "Sb1+", -0.043446582], + ["Sb1+", "B2+", -0.043446582], + ["B2+", "Te1-", -0.0429352736], + ["Te1-", "B2+", -0.0429352736], + ["B2+", "Te1+", 0.0291408962], + ["Te1+", "B2+", 0.0291408962], + ["B2+", "I1-", 0.0459783903], + ["I1-", "B2+", 0.0459783903], + ["B2+", "I1+", 0.1572967191], + ["I1+", "B2+", 0.1572967191], + ["B2+", "Cs1+", 0.2946587282], + ["Cs1+", "B2+", 0.2946587282], + ["B2+", "La1+", 0.4575333803], + ["La1+", "B2+", 0.4575333803], + ["B2+", "Tb1+", 0.2267841674], + ["Tb1+", "B2+", 0.2267841674], + ["B2+", "Ta1+", -0.0673446515], + ["Ta1+", "B2+", -0.0673446515], + ["B2+", "Os1-", -0.1751162428], + ["Os1-", "B2+", -0.1751162428], + ["B2+", "Os1+", 0.0633052175], + ["Os1+", "B2+", 0.0633052175], + ["B2+", "Pt1-", -0.3969698446], + ["Pt1-", "B2+", -0.3969698446], + ["B2+", "Pt1+", 0.2178033235], + ["Pt1+", "B2+", 0.2178033235], + ["B2+", "Au1-", -0.0837270674], + ["Au1-", "B2+", -0.0837270674], + ["B2+", "Au1+", 0.142127208], + ["Au1+", "B2+", 0.142127208], + ["B2+", "Hg1+", 0.2717837464], + ["Hg1+", "B2+", 0.2717837464], + ["B2+", "Tl1+", 0.0682743647], + ["Tl1+", "B2+", 0.0682743647], + ["B2+", "Bi1+", 0.1983122825], + ["Bi1+", "B2+", 0.1983122825], + ["B2-", "B2-", 1.0], + ["B2-", "B3-", 0.6481715048], + ["B3-", "B2-", 0.6481715048], + ["B2-", "B3+", -0.2608657534], + ["B3+", "B2-", -0.2608657534], + ["B2-", "C4-", 0.2654261751], + ["C4-", "B2-", 0.2654261751], + ["B2-", "C4+", -0.2417603041], + ["C4+", "B2-", -0.2417603041], + ["B2-", "C2+", -0.0541031856], + ["C2+", "B2-", -0.0541031856], + ["B2-", "C3+", -0.2002964137], + ["C3+", "B2-", -0.2002964137], + ["B2-", "C2-", 0.2965416515], + ["C2-", "B2-", 0.2965416515], + ["B2-", "C3-", 0.3647159382], + ["C3-", "B2-", 0.3647159382], + ["B2-", "N3-", 0.1301799049], + ["N3-", "B2-", 0.1301799049], + ["B2-", "N2+", -0.0376383447], + ["N2+", "B2-", -0.0376383447], + ["B2-", "N3+", 0.006825475], + ["N3+", "B2-", 0.006825475], + ["B2-", "N2-", -0.0457783798], + ["N2-", "B2-", -0.0457783798], + ["B2-", "N5+", -0.0771412298], + ["N5+", "B2-", -0.0771412298], + ["B2-", "N4+", -0.0377490555], + ["N4+", "B2-", -0.0377490555], + ["B2-", "O2-", 0.2298745082], + ["O2-", "B2-", 0.2298745082], + ["B2-", "Mg2+", -0.2257726892], + ["Mg2+", "B2-", -0.2257726892], + ["B2-", "Al3+", -0.0121772102], + ["Al3+", "B2-", -0.0121772102], + ["B2-", "Al2+", -0.0553110636], + ["Al2+", "B2-", -0.0553110636], + ["B2-", "Si2+", -0.1849840736], + ["Si2+", "B2-", -0.1849840736], + ["B2-", "Si4+", -0.1753717304], + ["Si4+", "B2-", -0.1753717304], + ["B2-", "Si2-", 0.115607154], + ["Si2-", "B2-", 0.115607154], + ["B2-", "Si4-", 0.3760972085], + ["Si4-", "B2-", 0.3760972085], + ["B2-", "Si3+", -0.0216738697], + ["Si3+", "B2-", -0.0216738697], + ["B2-", "Si3-", 0.1462163362], + ["Si3-", "B2-", 0.1462163362], + ["B2-", "P5+", -0.1122423324], + ["P5+", "B2-", -0.1122423324], + ["B2-", "P2-", 0.1182174684], + ["P2-", "B2-", 0.1182174684], + ["B2-", "P3-", 0.1265169802], + ["P3-", "B2-", 0.1265169802], + ["B2-", "P4+", -0.0347882384], + ["P4+", "B2-", -0.0347882384], + ["B2-", "P3+", -0.1592626558], + ["P3+", "B2-", -0.1592626558], + ["B2-", "P2+", -0.1097654093], + ["P2+", "B2-", -0.1097654093], + ["B2-", "S2-", 0.2322725422], + ["S2-", "B2-", 0.2322725422], + ["B2-", "S6+", -0.1101518462], + ["S6+", "B2-", -0.1101518462], + ["B2-", "S2+", 0.0570970989], + ["S2+", "B2-", 0.0570970989], + ["B2-", "S3+", -0.048310966], + ["S3+", "B2-", -0.048310966], + ["B2-", "S4+", -0.026027734], + ["S4+", "B2-", -0.026027734], + ["B2-", "S5+", 0.0039970087], + ["S5+", "B2-", 0.0039970087], + ["B2-", "Cl7+", 0.0000069653], + ["Cl7+", "B2-", 0.0000069653], + ["B2-", "Cl5+", -0.0157586332], + ["Cl5+", "B2-", -0.0157586332], + ["B2-", "Cl3+", -0.0623165806], + ["Cl3+", "B2-", -0.0623165806], + ["B2-", "Ca2+", -0.3277554797], + ["Ca2+", "B2-", -0.3277554797], + ["B2-", "Sc3+", 0.1002007507], + ["Sc3+", "B2-", 0.1002007507], + ["B2-", "Sc2+", 0.0142347674], + ["Sc2+", "B2-", 0.0142347674], + ["B2-", "Ti3+", -0.0734414067], + ["Ti3+", "B2-", -0.0734414067], + ["B2-", "Ti4+", 0.1327177623], + ["Ti4+", "B2-", 0.1327177623], + ["B2-", "Ti2+", -0.1900168799], + ["Ti2+", "B2-", -0.1900168799], + ["B2-", "V4+", 0.0458461043], + ["V4+", "B2-", 0.0458461043], + ["B2-", "V3+", -0.0457581159], + ["V3+", "B2-", -0.0457581159], + ["B2-", "V2+", -0.146299989], + ["V2+", "B2-", -0.146299989], + ["B2-", "V5+", -0.0923847183], + ["V5+", "B2-", -0.0923847183], + ["B2-", "Cr3+", 0.0135140492], + ["Cr3+", "B2-", 0.0135140492], + ["B2-", "Cr2+", -0.0654464126], + ["Cr2+", "B2-", -0.0654464126], + ["B2-", "Cr6+", 0.095782382], + ["Cr6+", "B2-", 0.095782382], + ["B2-", "Cr4+", -0.0040848205], + ["Cr4+", "B2-", -0.0040848205], + ["B2-", "Cr5+", 0.2186446919], + ["Cr5+", "B2-", 0.2186446919], + ["B2-", "Mn2+", -0.1096993474], + ["Mn2+", "B2-", -0.1096993474], + ["B2-", "Mn3+", -0.0256015327], + ["Mn3+", "B2-", -0.0256015327], + ["B2-", "Mn4+", 0.0341575151], + ["Mn4+", "B2-", 0.0341575151], + ["B2-", "Mn7+", 0.1887231636], + ["Mn7+", "B2-", 0.1887231636], + ["B2-", "Mn6+", 0.1512102202], + ["Mn6+", "B2-", 0.1512102202], + ["B2-", "Mn5+", -0.1082400301], + ["Mn5+", "B2-", -0.1082400301], + ["B2-", "Fe2+", -0.0638341162], + ["Fe2+", "B2-", -0.0638341162], + ["B2-", "Fe3+", 0.0029083747], + ["Fe3+", "B2-", 0.0029083747], + ["B2-", "Fe4+", 0.1555196708], + ["Fe4+", "B2-", 0.1555196708], + ["B2-", "Fe6+", 0.3298774972], + ["Fe6+", "B2-", 0.3298774972], + ["B2-", "Fe5+", 0.2371385732], + ["Fe5+", "B2-", 0.2371385732], + ["B2-", "Co2+", 0.0592311082], + ["Co2+", "B2-", 0.0592311082], + ["B2-", "Co4+", 0.119915199], + ["Co4+", "B2-", 0.119915199], + ["B2-", "Co3+", -0.0215874645], + ["Co3+", "B2-", -0.0215874645], + ["B2-", "Ni2+", 0.2051029371], + ["Ni2+", "B2-", 0.2051029371], + ["B2-", "Ni4+", 0.0991111997], + ["Ni4+", "B2-", 0.0991111997], + ["B2-", "Ni3+", 0.0916096197], + ["Ni3+", "B2-", 0.0916096197], + ["B2-", "Cu2+", -0.0049643972], + ["Cu2+", "B2-", -0.0049643972], + ["B2-", "Cu3+", -0.0753860581], + ["Cu3+", "B2-", -0.0753860581], + ["B2-", "Zn2+", -0.3490059253], + ["Zn2+", "B2-", -0.3490059253], + ["B2-", "Ga3+", -0.3129040658], + ["Ga3+", "B2-", -0.3129040658], + ["B2-", "Ga4+", 0.0672368431], + ["Ga4+", "B2-", 0.0672368431], + ["B2-", "Ga2+", -0.1914887242], + ["Ga2+", "B2-", -0.1914887242], + ["B2-", "Ge4-", 0.2522071367], + ["Ge4-", "B2-", 0.2522071367], + ["B2-", "Ge4+", -0.2765905101], + ["Ge4+", "B2-", -0.2765905101], + ["B2-", "Ge2-", 0.2039334904], + ["Ge2-", "B2-", 0.2039334904], + ["B2-", "Ge2+", -0.0826806055], + ["Ge2+", "B2-", -0.0826806055], + ["B2-", "Ge3+", -0.0386174624], + ["Ge3+", "B2-", -0.0386174624], + ["B2-", "As2-", 0.0165816997], + ["As2-", "B2-", 0.0165816997], + ["B2-", "As3+", -0.154319097], + ["As3+", "B2-", -0.154319097], + ["B2-", "As5+", -0.0666213316], + ["As5+", "B2-", -0.0666213316], + ["B2-", "As3-", 0.0206783521], + ["As3-", "B2-", 0.0206783521], + ["B2-", "As2+", 0.0043659333], + ["As2+", "B2-", 0.0043659333], + ["B2-", "As4+", 0.0007992732], + ["As4+", "B2-", 0.0007992732], + ["B2-", "Se2-", 0.1827851639], + ["Se2-", "B2-", 0.1827851639], + ["B2-", "Se4+", -0.1407247763], + ["Se4+", "B2-", -0.1407247763], + ["B2-", "Se6+", -0.0234829607], + ["Se6+", "B2-", -0.0234829607], + ["B2-", "Se5+", -0.004432332], + ["Se5+", "B2-", -0.004432332], + ["B2-", "Se2+", -0.0993147712], + ["Se2+", "B2-", -0.0993147712], + ["B2-", "Se3+", -0.0332293293], + ["Se3+", "B2-", -0.0332293293], + ["B2-", "Br2+", -0.122135753], + ["Br2+", "B2-", -0.122135753], + ["B2-", "Br5+", -0.0321247348], + ["Br5+", "B2-", -0.0321247348], + ["B2-", "Br3+", 0.0192447974], + ["Br3+", "B2-", 0.0192447974], + ["B2-", "Sr2+", -0.4015416677], + ["Sr2+", "B2-", -0.4015416677], + ["B2-", "Y3+", 0.1122686423], + ["Y3+", "B2-", 0.1122686423], + ["B2-", "Y2+", -0.0087315456], + ["Y2+", "B2-", -0.0087315456], + ["B2-", "Zr2+", 0.0390987849], + ["Zr2+", "B2-", 0.0390987849], + ["B2-", "Zr4+", 0.1071169644], + ["Zr4+", "B2-", 0.1071169644], + ["B2-", "Zr3+", 0.0480425794], + ["Zr3+", "B2-", 0.0480425794], + ["B2-", "Nb5+", 0.138468242], + ["Nb5+", "B2-", 0.138468242], + ["B2-", "Nb3+", -0.0348995527], + ["Nb3+", "B2-", -0.0348995527], + ["B2-", "Nb4+", -0.0331203346], + ["Nb4+", "B2-", -0.0331203346], + ["B2-", "Nb2+", -0.0661151789], + ["Nb2+", "B2-", -0.0661151789], + ["B2-", "Nb7+", 0.0130506827], + ["Nb7+", "B2-", 0.0130506827], + ["B2-", "Mo3+", -0.160288578], + ["Mo3+", "B2-", -0.160288578], + ["B2-", "Mo4+", 0.1154933293], + ["Mo4+", "B2-", 0.1154933293], + ["B2-", "Mo6+", -0.0171732308], + ["Mo6+", "B2-", -0.0171732308], + ["B2-", "Mo5+", -0.0917155597], + ["Mo5+", "B2-", -0.0917155597], + ["B2-", "Mo2+", -0.0013409183], + ["Mo2+", "B2-", -0.0013409183], + ["B2-", "Tc4+", -0.0980636946], + ["Tc4+", "B2-", -0.0980636946], + ["B2-", "Tc3-", 0.1031179303], + ["Tc3-", "B2-", 0.1031179303], + ["B2-", "Tc3+", -0.2996203438], + ["Tc3+", "B2-", -0.2996203438], + ["B2-", "Tc7+", -0.1085188716], + ["Tc7+", "B2-", -0.1085188716], + ["B2-", "Tc5+", 0.0274376504], + ["Tc5+", "B2-", 0.0274376504], + ["B2-", "Tc6+", 0.0138553454], + ["Tc6+", "B2-", 0.0138553454], + ["B2-", "Tc2-", 0.4095215203], + ["Tc2-", "B2-", 0.4095215203], + ["B2-", "Tc2+", -0.0286447478], + ["Tc2+", "B2-", -0.0286447478], + ["B2-", "Ru2+", 0.1857308234], + ["Ru2+", "B2-", 0.1857308234], + ["B2-", "Ru6+", 0.0380745874], + ["Ru6+", "B2-", 0.0380745874], + ["B2-", "Ru4+", -0.2175987803], + ["Ru4+", "B2-", -0.2175987803], + ["B2-", 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["B2-", "Sb5+", -0.0640474518], + ["Sb5+", "B2-", -0.0640474518], + ["B2-", "Sb2-", 0.0181226826], + ["Sb2-", "B2-", 0.0181226826], + ["B2-", "Sb3-", 0.1224386556], + ["Sb3-", "B2-", 0.1224386556], + ["B2-", "Sb3+", -0.1166693747], + ["Sb3+", "B2-", -0.1166693747], + ["B2-", "Sb4+", -0.0595899579], + ["Sb4+", "B2-", -0.0595899579], + ["B2-", "Te2-", 0.3029560691], + ["Te2-", "B2-", 0.3029560691], + ["B2-", "Te4+", -0.2919542832], + ["Te4+", "B2-", -0.2919542832], + ["B2-", "Te6+", -0.2216520908], + ["Te6+", "B2-", -0.2216520908], + ["B2-", "Te2+", -0.2241131236], + ["Te2+", "B2-", -0.2241131236], + ["B2-", "Te5+", -0.0766856016], + ["Te5+", "B2-", -0.0766856016], + ["B2-", "I3+", -0.0183130955], + ["I3+", "B2-", -0.0183130955], + ["B2-", "I7+", -0.0881909846], + ["I7+", "B2-", -0.0881909846], + ["B2-", "I5+", -0.0501954223], + ["I5+", "B2-", -0.0501954223], + ["B2-", "I2+", 0.0900145801], + ["I2+", "B2-", 0.0900145801], + ["B2-", "Ba2+", -0.2029568796], + ["Ba2+", "B2-", 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0.2524752758], + ["C2-", "Mo4+", 0.0389976625], + ["Mo4+", "C2-", 0.0389976625], + ["C2-", "Mo6+", -0.0120315428], + ["Mo6+", "C2-", -0.0120315428], + ["C2-", "Mo5+", -0.0918665334], + ["Mo5+", "C2-", -0.0918665334], + ["C2-", "Mo2+", 0.1100355855], + ["Mo2+", "C2-", 0.1100355855], + ["C2-", "Tc4+", -0.0968292803], + ["Tc4+", "C2-", -0.0968292803], + ["C2-", "Tc3-", 0.1513895641], + ["Tc3-", "C2-", 0.1513895641], + ["C2-", "Tc3+", 0.2164482209], + ["Tc3+", "C2-", 0.2164482209], + ["C2-", "Tc7+", 0.1965509277], + ["Tc7+", "C2-", 0.1965509277], + ["C2-", "Tc5+", 0.005173338], + ["Tc5+", "C2-", 0.005173338], + ["C2-", "Tc6+", 0.1516057006], + ["Tc6+", "C2-", 0.1516057006], + ["C2-", "Tc2-", 0.1863304539], + ["Tc2-", "C2-", 0.1863304539], + ["C2-", "Tc2+", 0.1127494791], + ["Tc2+", "C2-", 0.1127494791], + ["C2-", "Ru2+", 0.1570946751], + ["Ru2+", "C2-", 0.1570946751], + ["C2-", "Ru6+", 0.0816624654], + ["Ru6+", "C2-", 0.0816624654], + ["C2-", "Ru4+", 0.0412418336], + ["Ru4+", "C2-", 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0.1298175076], + ["C2-", "Sb5+", 0.1631784231], + ["Sb5+", "C2-", 0.1631784231], + ["C2-", "Sb2-", 0.0561748513], + ["Sb2-", "C2-", 0.0561748513], + ["C2-", "Sb3-", 0.0978409282], + ["Sb3-", "C2-", 0.0978409282], + ["C2-", "Sb3+", 0.2570740685], + ["Sb3+", "C2-", 0.2570740685], + ["C2-", "Sb4+", -0.0542510781], + ["Sb4+", "C2-", -0.0542510781], + ["C2-", "Te2-", 0.2664342467], + ["Te2-", "C2-", 0.2664342467], + ["C2-", "Te4+", -0.0219026492], + ["Te4+", "C2-", -0.0219026492], + ["C2-", "Te6+", 0.0006127519], + ["Te6+", "C2-", 0.0006127519], + ["C2-", "Te2+", -0.2386367091], + ["Te2+", "C2-", -0.2386367091], + ["C2-", "Te5+", -0.018500116], + ["Te5+", "C2-", -0.018500116], + ["C2-", "I3+", 0.0412382351], + ["I3+", "C2-", 0.0412382351], + ["C2-", "I7+", -0.0686429572], + ["I7+", "C2-", -0.0686429572], + ["C2-", "I5+", -0.1471452826], + ["I5+", "C2-", -0.1471452826], + ["C2-", "I2+", 0.1239453195], + ["I2+", "C2-", 0.1239453195], + ["C2-", "Ba2+", 0.1612856281], + ["Ba2+", "C2-", 0.1612856281], + ["C2-", "La3+", 0.1230386669], + ["La3+", "C2-", 0.1230386669], + ["C2-", "La2+", 0.0050545014], + ["La2+", "C2-", 0.0050545014], + ["C2-", "Ce3+", 0.3241511516], + ["Ce3+", "C2-", 0.3241511516], + ["C2-", "Ce2+", -0.0044127867], + ["Ce2+", "C2-", -0.0044127867], + ["C2-", "Ce4+", 0.2378738103], + ["Ce4+", "C2-", 0.2378738103], + ["C2-", "Pr3+", 0.0900800266], + ["Pr3+", "C2-", 0.0900800266], + ["C2-", "Pr4+", 0.1080557152], + ["Pr4+", "C2-", 0.1080557152], + ["C2-", "Pr2+", -0.1410480282], + ["Pr2+", "C2-", -0.1410480282], + ["C2-", "Nd3+", 0.0707910952], + ["Nd3+", "C2-", 0.0707910952], + ["C2-", "Nd2+", -0.0879532095], + ["Nd2+", "C2-", -0.0879532095], + ["C2-", "Pm3+", 0.2866305692], + ["Pm3+", "C2-", 0.2866305692], + ["C2-", "Sm3+", 0.0655772206], + ["Sm3+", "C2-", 0.0655772206], + ["C2-", "Sm2+", -0.0770115363], + ["Sm2+", "C2-", -0.0770115363], + ["C2-", "Eu2+", 0.0273395006], + ["Eu2+", "C2-", 0.0273395006], + ["C2-", "Eu3+", 0.0554116507], + ["Eu3+", "C2-", 0.0554116507], + ["C2-", "Gd2+", -0.1044789416], + ["Gd2+", "C2-", -0.1044789416], + ["C2-", "Gd3+", 0.032587109], + ["Gd3+", "C2-", 0.032587109], + ["C2-", "Tb3+", -0.0014440059], + ["Tb3+", "C2-", -0.0014440059], + ["C2-", "Tb2+", -0.1268697089], + ["Tb2+", "C2-", -0.1268697089], + ["C2-", "Tb4+", -0.0413265765], + ["Tb4+", "C2-", -0.0413265765], + ["C2-", "Dy3+", -0.0234293464], + ["Dy3+", "C2-", -0.0234293464], + ["C2-", "Dy2+", -0.1011545785], + ["Dy2+", "C2-", -0.1011545785], + ["C2-", "Ho3+", 0.0473320625], + ["Ho3+", "C2-", 0.0473320625], + ["C2-", "Ho2+", -0.1366409348], + ["Ho2+", "C2-", -0.1366409348], + ["C2-", "Er3+", 0.115986776], + ["Er3+", "C2-", 0.115986776], + ["C2-", "Tm3+", 0.0434300901], + ["Tm3+", "C2-", 0.0434300901], + ["C2-", "Tm2+", -0.0571331619], + ["Tm2+", "C2-", -0.0571331619], + ["C2-", "Yb3+", 0.1914098061], + ["Yb3+", "C2-", 0.1914098061], + ["C2-", "Yb2+", 0.028187254], + ["Yb2+", "C2-", 0.028187254], + ["C2-", "Lu3+", 0.05594718], + ["Lu3+", "C2-", 0.05594718], + ["C2-", "Hf3+", 0.1456011013], + ["Hf3+", "C2-", 0.1456011013], + ["C2-", "Hf2+", -0.2102816432], + ["Hf2+", "C2-", -0.2102816432], + ["C2-", "Hf4+", 0.2507900322], + ["Hf4+", "C2-", 0.2507900322], + ["C2-", "Ta5+", 0.2222155087], + ["Ta5+", "C2-", 0.2222155087], + ["C2-", "Ta3+", 0.3336595672], + ["Ta3+", "C2-", 0.3336595672], + ["C2-", "Ta4+", 0.3143146125], + ["Ta4+", "C2-", 0.3143146125], + ["C2-", "Ta2+", 0.1020377795], + ["Ta2+", "C2-", 0.1020377795], + ["C2-", "W6+", 0.2024761006], + ["W6+", "C2-", 0.2024761006], + ["C2-", "W4+", 0.2225121757], + ["W4+", "C2-", 0.2225121757], + ["C2-", "W2+", 0.0299832273], + ["W2+", "C2-", 0.0299832273], + ["C2-", "W3+", 0.0486942819], + ["W3+", "C2-", 0.0486942819], + ["C2-", "W5+", 0.0100186704], + ["W5+", "C2-", 0.0100186704], + ["C2-", "Re5+", 0.3507403453], + ["Re5+", "C2-", 0.3507403453], + ["C2-", "Re3+", 0.302620311], + ["Re3+", "C2-", 0.302620311], + ["C2-", "Re6+", 0.2738860538], + ["Re6+", "C2-", 0.2738860538], + ["C2-", "Re2+", 0.0337624725], + ["Re2+", "C2-", 0.0337624725], + ["C2-", "Re4+", 0.3075886008], + ["Re4+", "C2-", 0.3075886008], + ["C2-", "Re7+", 0.0258750815], + ["Re7+", "C2-", 0.0258750815], + ["C2-", "Os7+", 0.1494655768], + ["Os7+", "C2-", 0.1494655768], + ["C2-", "Os6+", 0.4112518777], + ["Os6+", "C2-", 0.4112518777], + ["C2-", "Os5+", 0.1656515164], + ["Os5+", "C2-", 0.1656515164], + ["C2-", "Os2-", 0.1843165649], + ["Os2-", "C2-", 0.1843165649], + ["C2-", "Os3+", 0.3540111737], + ["Os3+", "C2-", 0.3540111737], + ["C2-", "Os4+", 0.2778370124], + ["Os4+", "C2-", 0.2778370124], + ["C2-", "Os8+", 0.2547676993], + ["Os8+", "C2-", 0.2547676993], + ["C2-", "Os2+", -0.1091861483], + ["Os2+", "C2-", -0.1091861483], + ["C2-", "Ir3+", 0.21027368], + ["Ir3+", "C2-", 0.21027368], + ["C2-", "Ir4+", 0.2399670376], + ["Ir4+", "C2-", 0.2399670376], + ["C2-", "Ir5+", 0.1766038057], + ["Ir5+", "C2-", 0.1766038057], + ["C2-", "Ir6+", 0.2468584089], + ["Ir6+", "C2-", 0.2468584089], + ["C2-", "Pt2+", 0.0364068361], + ["Pt2+", "C2-", 0.0364068361], + ["C2-", "Pt2-", 0.2176703628], + ["Pt2-", "C2-", 0.2176703628], + ["C2-", "Pt4+", 0.0255767701], + ["Pt4+", "C2-", 0.0255767701], + ["C2-", "Pt3+", -0.077060999], + ["Pt3+", "C2-", -0.077060999], + ["C2-", "Pt5+", 0.0905563322], + ["Pt5+", "C2-", 0.0905563322], + ["C2-", "Pt6+", 0.1698095697], + ["Pt6+", "C2-", 0.1698095697], + ["C2-", "Au2+", -0.169679441], + ["Au2+", "C2-", -0.169679441], + ["C2-", "Au3+", -0.1469410695], + ["Au3+", "C2-", -0.1469410695], + ["C2-", "Au5+", -0.098092385], + ["Au5+", "C2-", -0.098092385], + ["C2-", "Au4+", 0.0698532842], + ["Au4+", "C2-", 0.0698532842], + ["C2-", "Hg2+", -0.0629291409], + ["Hg2+", "C2-", -0.0629291409], + ["C2-", "Tl3+", -0.0712139842], + ["Tl3+", "C2-", -0.0712139842], + ["C2-", "Tl2+", -0.0362715468], + ["Tl2+", "C2-", -0.0362715468], + ["C2-", "Pb2+", 0.3187777739], + ["Pb2+", "C2-", 0.3187777739], + ["C2-", "Pb3+", 0.0203880919], + ["Pb3+", "C2-", 0.0203880919], + ["C2-", "Pb4+", 0.1076210646], + ["Pb4+", "C2-", 0.1076210646], + ["C2-", "Bi3+", 0.2388072197], + ["Bi3+", "C2-", 0.2388072197], + ["C2-", "Bi5+", -0.0336850602], + ["Bi5+", "C2-", -0.0336850602], + ["C2-", "Bi2+", 0.158204982], + ["Bi2+", "C2-", 0.158204982], + ["C2-", "Bi3-", 0.1553603191], + ["Bi3-", "C2-", 0.1553603191], + ["C2-", "Bi4+", 0.002626975], + ["Bi4+", "C2-", 0.002626975], + ["C2-", "Ac3+", 0.2466116175], + ["Ac3+", "C2-", 0.2466116175], + ["C2-", "Th4+", 0.0236940275], + ["Th4+", "C2-", 0.0236940275], + ["C2-", "Th3+", 0.117647362], + ["Th3+", "C2-", 0.117647362], + ["C2-", "Pa4+", -0.1591264841], + ["Pa4+", "C2-", -0.1591264841], + ["C2-", "Pa5+", -0.032179676], + ["Pa5+", "C2-", -0.032179676], + ["C2-", "Pa3+", 0.1054550666], + ["Pa3+", "C2-", 0.1054550666], + ["C2-", "U6+", 0.1212218476], + ["U6+", "C2-", 0.1212218476], + ["C2-", "U4+", 0.1771014574], + ["U4+", "C2-", 0.1771014574], + ["C2-", "U3+", 0.0431942414], + ["U3+", "C2-", 0.0431942414], + ["C2-", "U2+", 0.0555167946], + ["U2+", "C2-", 0.0555167946], + ["C2-", "U5+", 0.0413836867], + ["U5+", "C2-", 0.0413836867], + ["C2-", "Np6+", 0.1215299602], + ["Np6+", "C2-", 0.1215299602], + ["C2-", "Np4+", -0.2116899578], + ["Np4+", "C2-", -0.2116899578], + ["C2-", "Np3+", 0.1336701818], + ["Np3+", "C2-", 0.1336701818], + ["C2-", "Np7+", -0.0325400856], + ["Np7+", "C2-", -0.0325400856], + ["C2-", "Np5+", 0.1259507637], + ["Np5+", "C2-", 0.1259507637], + ["C2-", "Pu7+", 0.0253142436], + ["Pu7+", "C2-", 0.0253142436], + ["C2-", "Pu6+", 0.0660758046], + ["Pu6+", "C2-", 0.0660758046], + ["C2-", "Pu3+", 0.1238955811], + ["Pu3+", "C2-", 0.1238955811], + ["C2-", "Pu4+", -0.1000565376], + ["Pu4+", "C2-", -0.1000565376], + ["C2-", "Pu5+", -0.0467623592], + ["Pu5+", "C2-", -0.0467623592], + ["C2-", "H1+", 0.1527457495], + ["H1+", "C2-", 0.1527457495], + ["C2-", "H1-", 0.2357419178], + ["H1-", "C2-", 0.2357419178], + ["C2-", "Li1+", 0.0955802395], + ["Li1+", "C2-", 0.0955802395], + ["C2-", "B1+", 0.0038436778], + ["B1+", "C2-", 0.0038436778], + ["C2-", "B1-", 0.32625194], + ["B1-", "C2-", 0.32625194], + ["C2-", "C1-", 0.5647104642], + ["C1-", "C2-", 0.5647104642], + ["C2-", "C1+", 0.2080068818], + ["C1+", "C2-", 0.2080068818], + ["C2-", "N1-", 0.3130827912], + ["N1-", "C2-", 0.3130827912], + ["C2-", "N1+", 0.0611899357], + ["N1+", "C2-", 0.0611899357], + ["C2-", "O1-", 0.2202795059], + ["O1-", "C2-", 0.2202795059], + ["C2-", "F1-", 0.1549312107], + ["F1-", "C2-", 0.1549312107], + ["C2-", "Na1+", 0.0892000098], + ["Na1+", "C2-", 0.0892000098], + ["C2-", "Si1-", 0.1567640053], + ["Si1-", "C2-", 0.1567640053], + ["C2-", "P1+", 0.1920448106], + ["P1+", "C2-", 0.1920448106], + ["C2-", "P1-", 0.0395890335], + ["P1-", "C2-", 0.0395890335], + ["C2-", "S1-", 0.1454306162], + ["S1-", "C2-", 0.1454306162], + ["C2-", "S1+", 0.2143431935], + ["S1+", "C2-", 0.2143431935], + ["C2-", "Cl1-", 0.301824931], + ["Cl1-", "C2-", 0.301824931], + ["C2-", "K1+", 0.1624371008], + ["K1+", "C2-", 0.1624371008], + ["C2-", "Sc1+", -0.0790172666], + ["Sc1+", "C2-", -0.0790172666], + ["C2-", "Mn1+", -0.0916131576], + ["Mn1+", "C2-", -0.0916131576], + ["C2-", "Fe1+", 0.0052216054], + ["Fe1+", "C2-", 0.0052216054], + ["C2-", "Co1+", -0.0527812739], + ["Co1+", "C2-", -0.0527812739], + ["C2-", "Ni1+", -0.1242192397], + ["Ni1+", "C2-", -0.1242192397], + ["C2-", "Cu1+", 0.1655515647], + ["Cu1+", "C2-", 0.1655515647], + ["C2-", "Ga1+", 0.1970395875], + ["Ga1+", "C2-", 0.1970395875], + ["C2-", "As1-", 0.0403502789], + ["As1-", "C2-", 0.0403502789], + ["C2-", "As1+", 0.2419153762], + ["As1+", "C2-", 0.2419153762], + ["C2-", "Se1-", 0.1076176469], + ["Se1-", "C2-", 0.1076176469], + ["C2-", "Se1+", 0.1676404088], + ["Se1+", "C2-", 0.1676404088], + ["C2-", "Br1-", 0.2462971632], + ["Br1-", "C2-", 0.2462971632], + ["C2-", "Br1+", 0.2428334745], + ["Br1+", "C2-", 0.2428334745], + ["C2-", "Rb1+", 0.204513279], + ["Rb1+", "C2-", 0.204513279], + ["C2-", "Y1+", -0.2194693612], + ["Y1+", "C2-", 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0.0107572353], + ["N2-", "Mn3+", -0.258888756], + ["Mn3+", "N2-", -0.258888756], + ["N2-", "Mn4+", -0.1589561468], + ["Mn4+", "N2-", -0.1589561468], + ["N2-", "Mn7+", 0.1247402056], + ["Mn7+", "N2-", 0.1247402056], + ["N2-", "Mn6+", -0.0415489491], + ["Mn6+", "N2-", -0.0415489491], + ["N2-", "Mn5+", 0.0414604428], + ["Mn5+", "N2-", 0.0414604428], + ["N2-", "Fe2+", -0.1376404217], + ["Fe2+", "N2-", -0.1376404217], + ["N2-", "Fe3+", -0.1876890223], + ["Fe3+", "N2-", -0.1876890223], + ["N2-", "Fe4+", -0.2085948861], + ["Fe4+", "N2-", -0.2085948861], + ["N2-", "Fe6+", -0.0652028549], + ["Fe6+", "N2-", -0.0652028549], + ["N2-", "Fe5+", -0.1262249972], + ["Fe5+", "N2-", -0.1262249972], + ["N2-", "Co2+", -0.0634663345], + ["Co2+", "N2-", -0.0634663345], + ["N2-", "Co4+", -0.0076156479], + ["Co4+", "N2-", -0.0076156479], + ["N2-", "Co3+", -0.0707302716], + ["Co3+", "N2-", -0.0707302716], + ["N2-", "Ni2+", -0.1393391799], + ["Ni2+", "N2-", -0.1393391799], + ["N2-", "Ni4+", -0.1025847038], + ["Ni4+", "N2-", -0.1025847038], + ["N2-", "Ni3+", -0.1839434576], + ["Ni3+", "N2-", -0.1839434576], + ["N2-", "Cu2+", -0.1098644468], + ["Cu2+", "N2-", -0.1098644468], + ["N2-", "Cu3+", -0.0300334351], + ["Cu3+", "N2-", -0.0300334351], + ["N2-", "Zn2+", 0.0159061342], + ["Zn2+", "N2-", 0.0159061342], + ["N2-", "Ga3+", 0.0534212905], + ["Ga3+", "N2-", 0.0534212905], + ["N2-", "Ga4+", -0.0085350758], + ["Ga4+", "N2-", -0.0085350758], + ["N2-", "Ga2+", 0.1955692754], + ["Ga2+", "N2-", 0.1955692754], + ["N2-", "Ge4-", 0.0666734154], + ["Ge4-", "N2-", 0.0666734154], + ["N2-", "Ge4+", 0.1920726461], + ["Ge4+", "N2-", 0.1920726461], + ["N2-", "Ge2-", 0.0260073612], + ["Ge2-", "N2-", 0.0260073612], + ["N2-", "Ge2+", 0.1150805795], + ["Ge2+", "N2-", 0.1150805795], + ["N2-", "Ge3+", 0.0336365689], + ["Ge3+", "N2-", 0.0336365689], + ["N2-", "As2-", 0.0808043153], + ["As2-", "N2-", 0.0808043153], + ["N2-", "As3+", -0.0038122772], + ["As3+", "N2-", -0.0038122772], + ["N2-", "As5+", -0.2243791881], + ["As5+", "N2-", -0.2243791881], + ["N2-", "As3-", 0.0640441295], + ["As3-", "N2-", 0.0640441295], + ["N2-", "As2+", -0.0591065403], + ["As2+", "N2-", -0.0591065403], + ["N2-", "As4+", -0.0405935513], + ["As4+", "N2-", -0.0405935513], + ["N2-", "Se2-", 0.1484849659], + ["Se2-", "N2-", 0.1484849659], + ["N2-", "Se4+", -0.0382974521], + ["Se4+", "N2-", -0.0382974521], + ["N2-", "Se6+", 0.1142523195], + ["Se6+", "N2-", 0.1142523195], + ["N2-", "Se5+", 0.0050470033], + ["Se5+", "N2-", 0.0050470033], + ["N2-", "Se2+", 0.2662698301], + ["Se2+", "N2-", 0.2662698301], + ["N2-", "Se3+", 0.1478112848], + ["Se3+", "N2-", 0.1478112848], + ["N2-", "Br2+", 0.1858955561], + ["Br2+", "N2-", 0.1858955561], + ["N2-", "Br5+", -0.1056845855], + ["Br5+", "N2-", -0.1056845855], + ["N2-", "Br3+", -0.0193583417], + ["Br3+", "N2-", -0.0193583417], + ["N2-", "Sr2+", 0.0766674974], + ["Sr2+", "N2-", 0.0766674974], + ["N2-", "Y3+", -0.0197546452], + ["Y3+", "N2-", -0.0197546452], + ["N2-", "Y2+", 0.0185398687], + ["Y2+", "N2-", 0.0185398687], + ["N2-", "Zr2+", -0.0053624232], + ["Zr2+", "N2-", -0.0053624232], + ["N2-", "Zr4+", -0.0436203748], + ["Zr4+", "N2-", -0.0436203748], + ["N2-", "Zr3+", 0.1019268469], + ["Zr3+", "N2-", 0.1019268469], + ["N2-", "Nb5+", -0.0002875667], + ["Nb5+", "N2-", -0.0002875667], + ["N2-", "Nb3+", -0.0138464412], + ["Nb3+", "N2-", -0.0138464412], + ["N2-", "Nb4+", -0.0489621605], + ["Nb4+", "N2-", -0.0489621605], + ["N2-", "Nb2+", 0.1320871196], + ["Nb2+", "N2-", 0.1320871196], + ["N2-", "Nb7+", 0.0144280799], + ["Nb7+", "N2-", 0.0144280799], + ["N2-", "Mo3+", -0.0075820822], + ["Mo3+", "N2-", -0.0075820822], + ["N2-", "Mo4+", -0.1291684473], + ["Mo4+", "N2-", -0.1291684473], + ["N2-", "Mo6+", -0.1604555719], + ["Mo6+", "N2-", -0.1604555719], + ["N2-", "Mo5+", -0.1711364267], + ["Mo5+", "N2-", -0.1711364267], + ["N2-", "Mo2+", 0.0466335413], + ["Mo2+", "N2-", 0.0466335413], + ["N2-", "Tc4+", -0.1029667923], + ["Tc4+", "N2-", -0.1029667923], + ["N2-", "Tc3-", 0.0549292904], + ["Tc3-", "N2-", 0.0549292904], + ["N2-", "Tc3+", 0.1858928335], + ["Tc3+", "N2-", 0.1858928335], + ["N2-", "Tc7+", 0.0244083088], + ["Tc7+", "N2-", 0.0244083088], + ["N2-", "Tc5+", 0.0592032376], + ["Tc5+", "N2-", 0.0592032376], + ["N2-", "Tc6+", -0.0294435599], + ["Tc6+", "N2-", -0.0294435599], + ["N2-", "Tc2-", -0.2945059519], + ["Tc2-", "N2-", -0.2945059519], + ["N2-", "Tc2+", 0.020310267], + ["Tc2+", "N2-", 0.020310267], + ["N2-", "Ru2+", 0.0538518502], + ["Ru2+", "N2-", 0.0538518502], + ["N2-", "Ru6+", 0.0571670869], + ["Ru6+", "N2-", 0.0571670869], + ["N2-", "Ru4+", 0.0644514131], + ["Ru4+", "N2-", 0.0644514131], + ["N2-", "Ru5+", -0.0099609337], + ["Ru5+", "N2-", -0.0099609337], + ["N2-", "Ru3+", -0.1600364226], + ["Ru3+", "N2-", -0.1600364226], + ["N2-", "Rh4+", -0.0464439879], + ["Rh4+", "N2-", -0.0464439879], + ["N2-", "Rh3+", 0.0357413603], + ["Rh3+", "N2-", 0.0357413603], + ["N2-", "Pd2+", -0.0523808693], + ["Pd2+", "N2-", -0.0523808693], + ["N2-", "Pd4+", 0.0533786866], + ["Pd4+", "N2-", 0.0533786866], + ["N2-", "Pd3+", -0.1970171217], + ["Pd3+", "N2-", -0.1970171217], + ["N2-", "Ag3+", -0.0810266293], + ["Ag3+", "N2-", -0.0810266293], + ["N2-", "Ag2+", -0.1469955142], + ["Ag2+", "N2-", -0.1469955142], + ["N2-", "Cd2+", 0.0823409666], + ["Cd2+", "N2-", 0.0823409666], + ["N2-", "In3+", -0.0068787605], + ["In3+", "N2-", -0.0068787605], + ["N2-", "In2+", 0.2054375301], + ["In2+", "N2-", 0.2054375301], + ["N2-", "Sn4+", -0.0252840401], + ["Sn4+", "N2-", -0.0252840401], + ["N2-", "Sn3+", -0.0798376645], + ["Sn3+", "N2-", -0.0798376645], + ["N2-", "Sn2+", -0.0029592813], + ["Sn2+", "N2-", -0.0029592813], + ["N2-", "Sb5+", 0.0491674581], + ["Sb5+", "N2-", 0.0491674581], + ["N2-", "Sb2-", -0.0680438402], + ["Sb2-", "N2-", -0.0680438402], + ["N2-", "Sb3-", 0.030804672], + ["Sb3-", "N2-", 0.030804672], + ["N2-", "Sb3+", 0.1095728713], + ["Sb3+", "N2-", 0.1095728713], + ["N2-", "Sb4+", -0.0653860835], + ["Sb4+", "N2-", -0.0653860835], + ["N2-", "Te2-", 0.2261910837], + ["Te2-", "N2-", 0.2261910837], + ["N2-", "Te4+", 0.0226709293], + ["Te4+", "N2-", 0.0226709293], + ["N2-", "Te6+", -0.1440134775], + ["Te6+", "N2-", -0.1440134775], + ["N2-", "Te2+", -0.1068346033], + ["Te2+", "N2-", -0.1068346033], + ["N2-", "Te5+", -0.0290800192], + ["Te5+", "N2-", -0.0290800192], + ["N2-", "I3+", 0.0590597111], + ["I3+", "N2-", 0.0590597111], + ["N2-", "I7+", -0.0357646131], + ["I7+", "N2-", -0.0357646131], + ["N2-", "I5+", 0.0159643105], + ["I5+", "N2-", 0.0159643105], + ["N2-", "I2+", 0.111079595], + ["I2+", "N2-", 0.111079595], + ["N2-", "Ba2+", 0.0917885273], + ["Ba2+", "N2-", 0.0917885273], + ["N2-", "La3+", -0.0144871597], + ["La3+", "N2-", -0.0144871597], + ["N2-", "La2+", -0.1174775742], + ["La2+", "N2-", -0.1174775742], + ["N2-", "Ce3+", 0.0249281743], + ["Ce3+", "N2-", 0.0249281743], + ["N2-", "Ce2+", -0.1829938454], + ["Ce2+", "N2-", -0.1829938454], + ["N2-", "Ce4+", -0.1391823033], + ["Ce4+", "N2-", -0.1391823033], + ["N2-", "Pr3+", -0.1891891705], + ["Pr3+", "N2-", -0.1891891705], + ["N2-", "Pr4+", -0.1746934565], + ["Pr4+", "N2-", -0.1746934565], + ["N2-", "Pr2+", -0.1598302777], + ["Pr2+", "N2-", -0.1598302777], + ["N2-", "Nd3+", -0.1490596817], + ["Nd3+", "N2-", -0.1490596817], + ["N2-", "Nd2+", -0.1325332497], + ["Nd2+", "N2-", -0.1325332497], + ["N2-", "Pm3+", 0.0596429485], + ["Pm3+", "N2-", 0.0596429485], + ["N2-", "Sm3+", -0.1503411651], + ["Sm3+", "N2-", -0.1503411651], + ["N2-", "Sm2+", -0.0366907959], + ["Sm2+", "N2-", -0.0366907959], + ["N2-", "Eu2+", -0.0396100153], + ["Eu2+", "N2-", -0.0396100153], + ["N2-", "Eu3+", -0.2165336565], + ["Eu3+", "N2-", -0.2165336565], + ["N2-", "Gd2+", -0.1127459046], + ["Gd2+", "N2-", -0.1127459046], + ["N2-", "Gd3+", -0.1430435165], + ["Gd3+", "N2-", -0.1430435165], + ["N2-", "Tb3+", -0.3004895274], + ["Tb3+", "N2-", -0.3004895274], + ["N2-", "Tb2+", -0.2083914495], + ["Tb2+", "N2-", -0.2083914495], + ["N2-", "Tb4+", -0.3393038415], + ["Tb4+", "N2-", 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["Ta3+", "N2-", 0.0106245005], + ["N2-", "Ta4+", 0.2391336544], + ["Ta4+", "N2-", 0.2391336544], + ["N2-", "Ta2+", 0.1531171922], + ["Ta2+", "N2-", 0.1531171922], + ["N2-", "W6+", 0.0193201086], + ["W6+", "N2-", 0.0193201086], + ["N2-", "W4+", 0.0758886298], + ["W4+", "N2-", 0.0758886298], + ["N2-", "W2+", -0.0475266928], + ["W2+", "N2-", -0.0475266928], + ["N2-", "W3+", 0.1709779469], + ["W3+", "N2-", 0.1709779469], + ["N2-", "W5+", -0.0838173962], + ["W5+", "N2-", -0.0838173962], + ["N2-", "Re5+", 0.0732746486], + ["Re5+", "N2-", 0.0732746486], + ["N2-", "Re3+", 0.0413340082], + ["Re3+", "N2-", 0.0413340082], + ["N2-", "Re6+", -0.0241606229], + ["Re6+", "N2-", -0.0241606229], + ["N2-", "Re2+", 0.0159863829], + ["Re2+", "N2-", 0.0159863829], + ["N2-", "Re4+", 0.0582036705], + ["Re4+", "N2-", 0.0582036705], + ["N2-", "Re7+", -0.0073083842], + ["Re7+", "N2-", -0.0073083842], + ["N2-", "Os7+", 0.1076150635], + ["Os7+", "N2-", 0.1076150635], + ["N2-", "Os6+", 0.0825180956], + ["Os6+", 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0.2493058609], + ["Br3+", "Mg2+", 0.2493058609], + ["Mg2+", "Sr2+", 0.6280185728], + ["Sr2+", "Mg2+", 0.6280185728], + ["Mg2+", "Y3+", 0.5037044334], + ["Y3+", "Mg2+", 0.5037044334], + ["Mg2+", "Y2+", 0.3861621496], + ["Y2+", "Mg2+", 0.3861621496], + ["Mg2+", "Zr2+", -0.1749591205], + ["Zr2+", "Mg2+", -0.1749591205], + ["Mg2+", "Zr4+", 0.3572916484], + ["Zr4+", "Mg2+", 0.3572916484], + ["Mg2+", "Zr3+", 0.0206948908], + ["Zr3+", "Mg2+", 0.0206948908], + ["Mg2+", "Nb5+", 0.5626953296], + ["Nb5+", "Mg2+", 0.5626953296], + ["Mg2+", "Nb3+", 0.23986819], + ["Nb3+", "Mg2+", 0.23986819], + ["Mg2+", "Nb4+", 0.4340903916], + ["Nb4+", "Mg2+", 0.4340903916], + ["Mg2+", "Nb2+", 0.1951090894], + ["Nb2+", "Mg2+", 0.1951090894], + ["Mg2+", "Nb7+", 0.44408574], + ["Nb7+", "Mg2+", 0.44408574], + ["Mg2+", "Mo3+", 0.3095320715], + ["Mo3+", "Mg2+", 0.3095320715], + ["Mg2+", "Mo4+", 0.5134160838], + ["Mo4+", "Mg2+", 0.5134160838], + ["Mg2+", "Mo6+", 0.4860656795], + ["Mo6+", "Mg2+", 0.4860656795], + ["Mg2+", "Mo5+", 0.2825001083], + ["Mo5+", "Mg2+", 0.2825001083], + ["Mg2+", "Mo2+", 0.141768579], + ["Mo2+", "Mg2+", 0.141768579], + ["Mg2+", "Tc4+", 0.2221441079], + ["Tc4+", "Mg2+", 0.2221441079], + ["Mg2+", "Tc3-", -0.0324924027], + ["Tc3-", "Mg2+", -0.0324924027], + ["Mg2+", "Tc3+", 0.22114268], + ["Tc3+", "Mg2+", 0.22114268], + ["Mg2+", "Tc7+", 0.3141976997], + ["Tc7+", "Mg2+", 0.3141976997], + ["Mg2+", "Tc5+", 0.2184033463], + ["Tc5+", "Mg2+", 0.2184033463], + ["Mg2+", "Tc6+", -0.1839547872], + ["Tc6+", "Mg2+", -0.1839547872], + ["Mg2+", "Tc2-", -0.0646340202], + ["Tc2-", "Mg2+", -0.0646340202], + ["Mg2+", "Tc2+", 0.1259387399], + ["Tc2+", "Mg2+", 0.1259387399], + ["Mg2+", "Ru2+", 0.0095107963], + ["Ru2+", "Mg2+", 0.0095107963], + ["Mg2+", "Ru6+", 0.1830202246], + ["Ru6+", "Mg2+", 0.1830202246], + ["Mg2+", "Ru4+", 0.4577329162], + ["Ru4+", "Mg2+", 0.4577329162], + ["Mg2+", "Ru5+", 0.4315787393], + ["Ru5+", "Mg2+", 0.4315787393], + ["Mg2+", "Ru3+", 0.1579570425], + ["Ru3+", "Mg2+", 0.1579570425], + ["Mg2+", "Rh4+", 0.4062885223], + ["Rh4+", "Mg2+", 0.4062885223], + ["Mg2+", "Rh3+", 0.3901959405], + ["Rh3+", "Mg2+", 0.3901959405], + ["Mg2+", "Pd2+", 0.3221991771], + ["Pd2+", "Mg2+", 0.3221991771], + ["Mg2+", "Pd4+", 0.1088475602], + ["Pd4+", "Mg2+", 0.1088475602], + ["Mg2+", "Pd3+", 0.1263213572], + ["Pd3+", "Mg2+", 0.1263213572], + ["Mg2+", "Ag3+", 0.4714161905], + ["Ag3+", "Mg2+", 0.4714161905], + ["Mg2+", "Ag2+", 0.2336440347], + ["Ag2+", "Mg2+", 0.2336440347], + ["Mg2+", "Cd2+", 0.3375312545], + ["Cd2+", "Mg2+", 0.3375312545], + ["Mg2+", "In3+", 0.433272822], + ["In3+", "Mg2+", 0.433272822], + ["Mg2+", "In2+", 0.1678712627], + ["In2+", "Mg2+", 0.1678712627], + ["Mg2+", "Sn4+", 0.4518862894], + ["Sn4+", "Mg2+", 0.4518862894], + ["Mg2+", "Sn3+", 0.4430000627], + ["Sn3+", "Mg2+", 0.4430000627], + ["Mg2+", "Sn2+", 0.2285246347], + ["Sn2+", "Mg2+", 0.2285246347], + ["Mg2+", "Sb5+", 0.3485966114], + ["Sb5+", "Mg2+", 0.3485966114], + ["Mg2+", "Sb2-", 0.0255612397], + ["Sb2-", "Mg2+", 0.0255612397], + ["Mg2+", "Sb3-", 0.0051508854], + ["Sb3-", "Mg2+", 0.0051508854], + ["Mg2+", "Sb3+", 0.2267978645], + ["Sb3+", "Mg2+", 0.2267978645], + ["Mg2+", "Sb4+", 0.3567298627], + ["Sb4+", "Mg2+", 0.3567298627], + ["Mg2+", "Te2-", 0.0838672009], + ["Te2-", "Mg2+", 0.0838672009], + ["Mg2+", "Te4+", 0.4347544814], + ["Te4+", "Mg2+", 0.4347544814], + ["Mg2+", "Te6+", 0.459138411], + ["Te6+", "Mg2+", 0.459138411], + ["Mg2+", "Te2+", 0.0080598549], + ["Te2+", "Mg2+", 0.0080598549], + ["Mg2+", "Te5+", 0.5450592823], + ["Te5+", "Mg2+", 0.5450592823], + ["Mg2+", "I3+", 0.1972205367], + ["I3+", "Mg2+", 0.1972205367], + ["Mg2+", "I7+", 0.4579102064], + ["I7+", "Mg2+", 0.4579102064], + ["Mg2+", "I5+", 0.4148111546], + ["I5+", "Mg2+", 0.4148111546], + ["Mg2+", "I2+", 0.3661069179], + ["I2+", "Mg2+", 0.3661069179], + ["Mg2+", "Ba2+", 0.5708250476], + ["Ba2+", "Mg2+", 0.5708250476], + ["Mg2+", "La3+", 0.5072626735], + ["La3+", "Mg2+", 0.5072626735], + ["Mg2+", "La2+", 0.4727685374], + ["La2+", "Mg2+", 0.4727685374], + ["Mg2+", "Ce3+", 0.2922745012], + ["Ce3+", "Mg2+", 0.2922745012], + ["Mg2+", "Ce2+", 0.3305602261], + ["Ce2+", "Mg2+", 0.3305602261], + ["Mg2+", "Ce4+", 0.4157648181], + ["Ce4+", "Mg2+", 0.4157648181], + ["Mg2+", "Pr3+", 0.3201994792], + ["Pr3+", "Mg2+", 0.3201994792], + ["Mg2+", "Pr4+", 0.4980469242], + ["Pr4+", "Mg2+", 0.4980469242], + ["Mg2+", "Pr2+", 0.24694335], + ["Pr2+", "Mg2+", 0.24694335], + ["Mg2+", "Nd3+", 0.4268966284], + ["Nd3+", "Mg2+", 0.4268966284], + ["Mg2+", "Nd2+", 0.3521870421], + ["Nd2+", "Mg2+", 0.3521870421], + ["Mg2+", "Pm3+", 0.3786990642], + ["Pm3+", "Mg2+", 0.3786990642], + ["Mg2+", "Sm3+", 0.3770000212], + ["Sm3+", "Mg2+", 0.3770000212], + ["Mg2+", "Sm2+", 0.096580256], + ["Sm2+", "Mg2+", 0.096580256], + ["Mg2+", "Eu2+", 0.5140999597], + ["Eu2+", "Mg2+", 0.5140999597], + ["Mg2+", "Eu3+", 0.4922215414], + ["Eu3+", "Mg2+", 0.4922215414], + ["Mg2+", "Gd2+", 0.0288888145], + ["Gd2+", "Mg2+", 0.0288888145], + ["Mg2+", "Gd3+", 0.4260977642], + ["Gd3+", "Mg2+", 0.4260977642], + ["Mg2+", "Tb3+", 0.3834985296], + ["Tb3+", "Mg2+", 0.3834985296], + ["Mg2+", "Tb2+", 0.1372038345], + ["Tb2+", "Mg2+", 0.1372038345], + ["Mg2+", "Tb4+", 0.4583184156], + ["Tb4+", "Mg2+", 0.4583184156], + ["Mg2+", "Dy3+", 0.3556528369], + ["Dy3+", "Mg2+", 0.3556528369], + ["Mg2+", "Dy2+", 0.1306465151], + ["Dy2+", "Mg2+", 0.1306465151], + ["Mg2+", "Ho3+", 0.415384326], + ["Ho3+", "Mg2+", 0.415384326], + ["Mg2+", "Ho2+", 0.2019899818], + ["Ho2+", "Mg2+", 0.2019899818], + ["Mg2+", "Er3+", 0.3633174996], + ["Er3+", "Mg2+", 0.3633174996], + ["Mg2+", "Tm3+", 0.3864372946], + ["Tm3+", "Mg2+", 0.3864372946], + ["Mg2+", "Tm2+", 0.0822431901], + ["Tm2+", "Mg2+", 0.0822431901], + ["Mg2+", "Yb3+", 0.5037095376], + ["Yb3+", "Mg2+", 0.5037095376], + ["Mg2+", "Yb2+", 0.1922855292], + ["Yb2+", "Mg2+", 0.1922855292], + ["Mg2+", "Lu3+", 0.4108301445], + ["Lu3+", "Mg2+", 0.4108301445], + ["Mg2+", "Hf3+", 0.2407926233], + ["Hf3+", "Mg2+", 0.2407926233], + ["Mg2+", "Hf2+", 0.292843061], + ["Hf2+", "Mg2+", 0.292843061], + ["Mg2+", "Hf4+", 0.4727240908], + ["Hf4+", "Mg2+", 0.4727240908], + ["Mg2+", "Ta5+", 0.5045477299], + ["Ta5+", "Mg2+", 0.5045477299], + ["Mg2+", "Ta3+", -0.1300937652], + ["Ta3+", "Mg2+", -0.1300937652], + ["Mg2+", "Ta4+", 0.2882337429], + ["Ta4+", "Mg2+", 0.2882337429], + ["Mg2+", "Ta2+", -0.0416050772], + ["Ta2+", "Mg2+", -0.0416050772], + ["Mg2+", "W6+", 0.562845956], + ["W6+", "Mg2+", 0.562845956], + ["Mg2+", "W4+", 0.3419188105], + ["W4+", "Mg2+", 0.3419188105], + ["Mg2+", "W2+", 0.1904326094], + ["W2+", "Mg2+", 0.1904326094], + ["Mg2+", "W3+", 0.3475070176], + ["W3+", "Mg2+", 0.3475070176], + ["Mg2+", "W5+", 0.3856994486], + ["W5+", "Mg2+", 0.3856994486], + ["Mg2+", "Re5+", 0.4030034693], + ["Re5+", "Mg2+", 0.4030034693], + ["Mg2+", "Re3+", -0.02919503], + ["Re3+", "Mg2+", -0.02919503], + ["Mg2+", "Re6+", 0.0515325309], + ["Re6+", "Mg2+", 0.0515325309], + ["Mg2+", "Re2+", 0.0221063547], + ["Re2+", "Mg2+", 0.0221063547], + ["Mg2+", "Re4+", 0.1219197833], + ["Re4+", "Mg2+", 0.1219197833], + ["Mg2+", "Re7+", 0.3826373978], + ["Re7+", "Mg2+", 0.3826373978], + ["Mg2+", "Os7+", 0.233883153], + ["Os7+", "Mg2+", 0.233883153], + ["Mg2+", "Os6+", -0.058591897], + ["Os6+", "Mg2+", -0.058591897], + ["Mg2+", "Os5+", 0.3114885063], + ["Os5+", "Mg2+", 0.3114885063], + ["Mg2+", "Os2-", -0.1367863133], + ["Os2-", "Mg2+", -0.1367863133], + ["Mg2+", "Os3+", -0.1224005881], + ["Os3+", "Mg2+", -0.1224005881], + ["Mg2+", "Os4+", 0.1791178895], + ["Os4+", "Mg2+", 0.1791178895], + ["Mg2+", "Os8+", 0.1618499953], + ["Os8+", "Mg2+", 0.1618499953], + ["Mg2+", "Os2+", 0.2856037582], + ["Os2+", "Mg2+", 0.2856037582], + ["Mg2+", "Ir3+", 0.033996425], + ["Ir3+", "Mg2+", 0.033996425], + ["Mg2+", "Ir4+", 0.4131061624], + ["Ir4+", "Mg2+", 0.4131061624], + ["Mg2+", "Ir5+", 0.2455629409], + ["Ir5+", "Mg2+", 0.2455629409], + ["Mg2+", "Ir6+", 0.1617763461], + ["Ir6+", "Mg2+", 0.1617763461], + ["Mg2+", "Pt2+", 0.2278542207], + ["Pt2+", "Mg2+", 0.2278542207], + ["Mg2+", "Pt2-", -0.2066240185], + ["Pt2-", "Mg2+", -0.2066240185], + ["Mg2+", "Pt4+", 0.2607151902], + ["Pt4+", "Mg2+", 0.2607151902], + ["Mg2+", "Pt3+", 0.4279183539], + ["Pt3+", "Mg2+", 0.4279183539], + ["Mg2+", "Pt5+", 0.115504703], + ["Pt5+", "Mg2+", 0.115504703], + ["Mg2+", "Pt6+", 0.1165722455], + ["Pt6+", "Mg2+", 0.1165722455], + ["Mg2+", "Au2+", 0.1466812993], + ["Au2+", "Mg2+", 0.1466812993], + ["Mg2+", "Au3+", 0.0173630442], + ["Au3+", "Mg2+", 0.0173630442], + ["Mg2+", "Au5+", 0.0279154799], + ["Au5+", "Mg2+", 0.0279154799], + ["Mg2+", "Au4+", -0.1052114294], + ["Au4+", "Mg2+", -0.1052114294], + ["Mg2+", "Hg2+", 0.0600658991], + ["Hg2+", "Mg2+", 0.0600658991], + ["Mg2+", "Tl3+", 0.2731456315], + ["Tl3+", "Mg2+", 0.2731456315], + ["Mg2+", "Tl2+", 0.3670745289], + ["Tl2+", "Mg2+", 0.3670745289], + ["Mg2+", "Pb2+", 0.4202528547], + ["Pb2+", "Mg2+", 0.4202528547], + ["Mg2+", "Pb3+", 0.2908522287], + ["Pb3+", "Mg2+", 0.2908522287], + ["Mg2+", "Pb4+", 0.1995649331], + ["Pb4+", "Mg2+", 0.1995649331], + ["Mg2+", "Bi3+", 0.5451558821], + ["Bi3+", "Mg2+", 0.5451558821], + ["Mg2+", "Bi5+", 0.3756343512], + ["Bi5+", "Mg2+", 0.3756343512], + ["Mg2+", "Bi2+", 0.2244903236], + ["Bi2+", "Mg2+", 0.2244903236], + ["Mg2+", "Bi3-", 0.3102312968], + ["Bi3-", "Mg2+", 0.3102312968], + ["Mg2+", "Bi4+", 0.4971986708], + ["Bi4+", "Mg2+", 0.4971986708], + ["Mg2+", "Ac3+", 0.1348588986], + ["Ac3+", "Mg2+", 0.1348588986], + ["Mg2+", "Th4+", 0.2321572996], + ["Th4+", "Mg2+", 0.2321572996], + ["Mg2+", "Th3+", 0.037429388], + ["Th3+", "Mg2+", 0.037429388], + ["Mg2+", "Pa4+", 0.1048071092], + ["Pa4+", "Mg2+", 0.1048071092], + ["Mg2+", "Pa5+", 0.2962069834], + ["Pa5+", "Mg2+", 0.2962069834], + ["Mg2+", "Pa3+", 0.1192419769], + ["Pa3+", "Mg2+", 0.1192419769], + ["Mg2+", "U6+", 0.3439687149], + ["U6+", "Mg2+", 0.3439687149], + ["Mg2+", "U4+", 0.0139451798], + ["U4+", "Mg2+", 0.0139451798], + ["Mg2+", "U3+", 0.0556997546], + ["U3+", "Mg2+", 0.0556997546], + ["Mg2+", "U2+", -0.0317412528], + ["U2+", "Mg2+", -0.0317412528], + ["Mg2+", "U5+", 0.2462480477], + ["U5+", "Mg2+", 0.2462480477], + ["Mg2+", "Np6+", 0.2276683231], + ["Np6+", "Mg2+", 0.2276683231], + ["Mg2+", "Np4+", 0.1126777794], + ["Np4+", "Mg2+", 0.1126777794], + ["Mg2+", "Np3+", 0.1962913852], + ["Np3+", "Mg2+", 0.1962913852], + ["Mg2+", "Np7+", 0.4103440592], + ["Np7+", "Mg2+", 0.4103440592], + ["Mg2+", "Np5+", 0.3920082591], + ["Np5+", "Mg2+", 0.3920082591], + ["Mg2+", "Pu7+", 0.6073839439], + ["Pu7+", "Mg2+", 0.6073839439], + ["Mg2+", "Pu6+", 0.1038646646], + ["Pu6+", "Mg2+", 0.1038646646], + ["Mg2+", "Pu3+", 0.1898554776], + ["Pu3+", "Mg2+", 0.1898554776], + ["Mg2+", "Pu4+", 0.2901413399], + ["Pu4+", "Mg2+", 0.2901413399], + ["Mg2+", "Pu5+", 0.2561151397], + ["Pu5+", "Mg2+", 0.2561151397], + ["Mg2+", "H1+", 0.3642925635], + ["H1+", "Mg2+", 0.3642925635], + ["Mg2+", "H1-", 0.2638291205], + ["H1-", "Mg2+", 0.2638291205], + ["Mg2+", "Li1+", 0.6667109249], + ["Li1+", "Mg2+", 0.6667109249], + ["Mg2+", "B1+", 0.1258556631], + ["B1+", "Mg2+", 0.1258556631], + ["Mg2+", "B1-", -0.0946758042], + ["B1-", "Mg2+", -0.0946758042], + ["Mg2+", "C1-", 0.0842034709], + ["C1-", "Mg2+", 0.0842034709], + ["Mg2+", "C1+", 0.1840727024], + ["C1+", "Mg2+", 0.1840727024], + ["Mg2+", "N1-", 0.1385248913], + ["N1-", "Mg2+", 0.1385248913], + ["Mg2+", "N1+", 0.10718814], + ["N1+", "Mg2+", 0.10718814], + ["Mg2+", "O1-", 0.2731018669], + ["O1-", "Mg2+", 0.2731018669], + ["Mg2+", "F1-", 0.1920241974], + ["F1-", "Mg2+", 0.1920241974], + ["Mg2+", "Na1+", 0.7020085284], + ["Na1+", "Mg2+", 0.7020085284], + ["Mg2+", "Si1-", 0.3863696094], + ["Si1-", "Mg2+", 0.3863696094], + ["Mg2+", "P1+", 0.1459161447], + ["P1+", "Mg2+", 0.1459161447], + ["Mg2+", "P1-", -0.0388383758], + ["P1-", "Mg2+", -0.0388383758], + ["Mg2+", "S1-", 0.123409628], + ["S1-", "Mg2+", 0.123409628], + ["Mg2+", "S1+", 0.2248701702], + ["S1+", "Mg2+", 0.2248701702], + ["Mg2+", "Cl1-", 0.1388025653], + ["Cl1-", "Mg2+", 0.1388025653], + ["Mg2+", "K1+", 0.4565004417], + ["K1+", "Mg2+", 0.4565004417], + ["Mg2+", "Sc1+", -0.0245470453], + ["Sc1+", "Mg2+", -0.0245470453], + ["Mg2+", "Mn1+", 0.5263104192], + ["Mn1+", "Mg2+", 0.5263104192], + ["Mg2+", "Fe1+", 0.1390225621], + ["Fe1+", "Mg2+", 0.1390225621], + ["Mg2+", "Co1+", 0.1920679618], + ["Co1+", "Mg2+", 0.1920679618], + ["Mg2+", "Ni1+", 0.1072172083], + ["Ni1+", "Mg2+", 0.1072172083], + ["Mg2+", "Cu1+", 0.2922233112], + ["Cu1+", "Mg2+", 0.2922233112], + ["Mg2+", "Ga1+", 0.0694880484], + ["Ga1+", "Mg2+", 0.0694880484], + ["Mg2+", "As1-", 0.0316884607], + ["As1-", "Mg2+", 0.0316884607], + ["Mg2+", "As1+", 0.2990734612], + ["As1+", "Mg2+", 0.2990734612], + ["Mg2+", "Se1-", 0.0521611139], + ["Se1-", "Mg2+", 0.0521611139], + ["Mg2+", "Se1+", 0.3175123153], + ["Se1+", "Mg2+", 0.3175123153], + ["Mg2+", "Br1-", 0.2235269838], + ["Br1-", "Mg2+", 0.2235269838], + ["Mg2+", "Br1+", 0.140029318], + ["Br1+", "Mg2+", 0.140029318], + ["Mg2+", "Rb1+", 0.3911956302], + ["Rb1+", "Mg2+", 0.3911956302], + ["Mg2+", "Y1+", 0.1570349885], + ["Y1+", "Mg2+", 0.1570349885], + ["Mg2+", "Zr1+", -0.0526362817], + ["Zr1+", "Mg2+", -0.0526362817], + ["Mg2+", "Nb1+", 0.1292773894], + ["Nb1+", "Mg2+", 0.1292773894], + ["Mg2+", "Tc1-", -0.0365954717], + ["Tc1-", "Mg2+", -0.0365954717], + ["Mg2+", "Tc1+", 0.3178140168], + ["Tc1+", "Mg2+", 0.3178140168], + ["Mg2+", "Rh1+", 0.0830474195], + ["Rh1+", "Mg2+", 0.0830474195], + ["Mg2+", "Ag1+", 0.4165719285], + ["Ag1+", "Mg2+", 0.4165719285], + ["Mg2+", "In1+", 0.0622293403], + ["In1+", "Mg2+", 0.0622293403], + ["Mg2+", "Sb1-", 0.0478260465], + ["Sb1-", "Mg2+", 0.0478260465], + ["Mg2+", "Sb1+", -0.0110348359], + ["Sb1+", "Mg2+", -0.0110348359], + ["Mg2+", "Te1-", -0.1003496103], + ["Te1-", "Mg2+", -0.1003496103], + ["Mg2+", "Te1+", 0.0298775459], + ["Te1+", "Mg2+", 0.0298775459], + ["Mg2+", "I1-", 0.1639190804], + ["I1-", "Mg2+", 0.1639190804], + ["Mg2+", "I1+", 0.0036609078], + ["I1+", "Mg2+", 0.0036609078], + ["Mg2+", "Cs1+", 0.2982503934], + ["Cs1+", "Mg2+", 0.2982503934], + ["Mg2+", "La1+", 0.0577629579], + ["La1+", "Mg2+", 0.0577629579], + ["Mg2+", "Tb1+", -0.0496140532], + ["Tb1+", "Mg2+", -0.0496140532], + ["Mg2+", "Ta1+", 0.0334609829], + ["Ta1+", "Mg2+", 0.0334609829], + ["Mg2+", "Os1-", -0.0248854199], + ["Os1-", "Mg2+", -0.0248854199], + ["Mg2+", "Os1+", -0.0754068955], + ["Os1+", "Mg2+", -0.0754068955], + ["Mg2+", "Pt1-", 0.0725293081], + ["Pt1-", "Mg2+", 0.0725293081], + ["Mg2+", "Pt1+", 0.2056553937], + ["Pt1+", "Mg2+", 0.2056553937], + ["Mg2+", "Au1-", -0.3068404254], + ["Au1-", "Mg2+", -0.3068404254], + ["Mg2+", "Au1+", 0.1063909124], + ["Au1+", "Mg2+", 0.1063909124], + ["Mg2+", "Hg1+", 0.3458989215], + ["Hg1+", "Mg2+", 0.3458989215], + ["Mg2+", "Tl1+", 0.3437023206], + ["Tl1+", "Mg2+", 0.3437023206], + ["Mg2+", "Bi1+", -0.1267290685], + ["Bi1+", "Mg2+", -0.1267290685], + ["Al3+", "Al3+", 1.0], + ["Al3+", "Al2+", 0.2264875804], + ["Al2+", "Al3+", 0.2264875804], + ["Al3+", "Si2+", 0.362814654], + ["Si2+", "Al3+", 0.362814654], + ["Al3+", "Si4+", 0.5393166027], + ["Si4+", "Al3+", 0.5393166027], + ["Al3+", "Si2-", -0.0990610104], + ["Si2-", "Al3+", -0.0990610104], + ["Al3+", "Si4-", -0.0771347145], + ["Si4-", "Al3+", -0.0771347145], + ["Al3+", "Si3+", 0.4862327893], + ["Si3+", "Al3+", 0.4862327893], + ["Al3+", "Si3-", 0.0029840365], + ["Si3-", "Al3+", 0.0029840365], + ["Al3+", "P5+", 0.418385073], + ["P5+", "Al3+", 0.418385073], + ["Al3+", "P2-", -0.1101278849], + ["P2-", "Al3+", -0.1101278849], + ["Al3+", "P3-", -0.113711877], + ["P3-", "Al3+", -0.113711877], + ["Al3+", "P4+", 0.3523044614], + ["P4+", "Al3+", 0.3523044614], + ["Al3+", "P3+", 0.3427293619], + ["P3+", "Al3+", 0.3427293619], + ["Al3+", "P2+", 0.1582862994], + ["P2+", "Al3+", 0.1582862994], + ["Al3+", "S2-", -0.0074938995], + ["S2-", "Al3+", -0.0074938995], + ["Al3+", "S6+", 0.383687277], + ["S6+", "Al3+", 0.383687277], + ["Al3+", "S2+", 0.2655666093], + ["S2+", "Al3+", 0.2655666093], + ["Al3+", "S3+", 0.261918979], + ["S3+", "Al3+", 0.261918979], + ["Al3+", "S4+", 0.2759286188], + ["S4+", "Al3+", 0.2759286188], + ["Al3+", "S5+", 0.2951633036], + ["S5+", "Al3+", 0.2951633036], + ["Al3+", "Cl7+", 0.4251436106], + ["Cl7+", "Al3+", 0.4251436106], + ["Al3+", "Cl5+", 0.389304501], + ["Cl5+", "Al3+", 0.389304501], + ["Al3+", "Cl3+", 0.111144193], + ["Cl3+", "Al3+", 0.111144193], + ["Al3+", "Ca2+", 0.5495538895], + ["Ca2+", "Al3+", 0.5495538895], + ["Al3+", "Sc3+", 0.5655459816], + ["Sc3+", "Al3+", 0.5655459816], + ["Al3+", "Sc2+", 0.1320292931], + ["Sc2+", "Al3+", 0.1320292931], + ["Al3+", "Ti3+", 0.4933728784], + ["Ti3+", "Al3+", 0.4933728784], + ["Al3+", "Ti4+", 0.4071341991], + ["Ti4+", "Al3+", 0.4071341991], + ["Al3+", "Ti2+", 0.3757993618], + ["Ti2+", "Al3+", 0.3757993618], + ["Al3+", "V4+", 0.5303546992], + ["V4+", "Al3+", 0.5303546992], + ["Al3+", "V3+", 0.4091730953], + ["V3+", "Al3+", 0.4091730953], + ["Al3+", "V2+", 0.3616083047], + ["V2+", "Al3+", 0.3616083047], + ["Al3+", "V5+", 0.4449665156], + ["V5+", "Al3+", 0.4449665156], + ["Al3+", "Cr3+", 0.3661246174], + ["Cr3+", "Al3+", 0.3661246174], + ["Al3+", "Cr2+", 0.3867849405], + ["Cr2+", "Al3+", 0.3867849405], + ["Al3+", "Cr6+", 0.3297466644], + ["Cr6+", "Al3+", 0.3297466644], + ["Al3+", "Cr4+", 0.3305142344], + ["Cr4+", "Al3+", 0.3305142344], + ["Al3+", "Cr5+", 0.3632442441], + ["Cr5+", "Al3+", 0.3632442441], + ["Al3+", "Mn2+", 0.4435897124], + ["Mn2+", "Al3+", 0.4435897124], + ["Al3+", "Mn3+", 0.4907441829], + ["Mn3+", "Al3+", 0.4907441829], + ["Al3+", "Mn4+", 0.4803436558], + ["Mn4+", "Al3+", 0.4803436558], + ["Al3+", "Mn7+", 0.4055620719], + ["Mn7+", "Al3+", 0.4055620719], + ["Al3+", "Mn6+", 0.4716447137], + ["Mn6+", "Al3+", 0.4716447137], + ["Al3+", "Mn5+", 0.2739087128], + ["Mn5+", "Al3+", 0.2739087128], + ["Al3+", "Fe2+", 0.3029060647], + ["Fe2+", "Al3+", 0.3029060647], + ["Al3+", "Fe3+", 0.4797323989], + ["Fe3+", "Al3+", 0.4797323989], + ["Al3+", "Fe4+", 0.5251985009], + ["Fe4+", "Al3+", 0.5251985009], + ["Al3+", "Fe6+", 0.1110993471], + ["Fe6+", "Al3+", 0.1110993471], + ["Al3+", "Fe5+", 0.3556386237], + ["Fe5+", "Al3+", 0.3556386237], + ["Al3+", "Co2+", 0.4059640693], + ["Co2+", "Al3+", 0.4059640693], + ["Al3+", "Co4+", 0.4464975214], + ["Co4+", "Al3+", 0.4464975214], + ["Al3+", "Co3+", 0.4684038685], + ["Co3+", "Al3+", 0.4684038685], + ["Al3+", "Ni2+", 0.4530711088], + ["Ni2+", "Al3+", 0.4530711088], + ["Al3+", "Ni4+", 0.4595875647], + ["Ni4+", "Al3+", 0.4595875647], + ["Al3+", "Ni3+", 0.3104452846], + ["Ni3+", "Al3+", 0.3104452846], + ["Al3+", "Cu2+", 0.4601160852], + ["Cu2+", "Al3+", 0.4601160852], + ["Al3+", "Cu3+", 0.3289889833], + ["Cu3+", "Al3+", 0.3289889833], + ["Al3+", "Zn2+", 0.4877911395], + ["Zn2+", "Al3+", 0.4877911395], + ["Al3+", "Ga3+", 0.5307790551], + ["Ga3+", "Al3+", 0.5307790551], + ["Al3+", "Ga4+", 0.2181054073], + ["Ga4+", "Al3+", 0.2181054073], + ["Al3+", "Ga2+", 0.280703105], + ["Ga2+", "Al3+", 0.280703105], + ["Al3+", "Ge4-", 0.025435109], + ["Ge4-", "Al3+", 0.025435109], + ["Al3+", "Ge4+", 0.4238571102], + ["Ge4+", "Al3+", 0.4238571102], + ["Al3+", "Ge2-", 0.0033730533], + ["Ge2-", "Al3+", 0.0033730533], + ["Al3+", "Ge2+", 0.114020052], + ["Ge2+", "Al3+", 0.114020052], + ["Al3+", "Ge3+", 0.1574587778], + ["Ge3+", "Al3+", 0.1574587778], + ["Al3+", "As2-", 0.0933738859], + ["As2-", "Al3+", 0.0933738859], + ["Al3+", "As3+", 0.3299791772], + ["As3+", "Al3+", 0.3299791772], + ["Al3+", "As5+", 0.4024485924], + ["As5+", "Al3+", 0.4024485924], + ["Al3+", "As3-", -0.0732581997], + ["As3-", "Al3+", -0.0732581997], + ["Al3+", "As2+", 0.3105413476], + ["As2+", "Al3+", 0.3105413476], + ["Al3+", "As4+", 0.3700187425], + ["As4+", "Al3+", 0.3700187425], + ["Al3+", "Se2-", 0.0269420419], + ["Se2-", "Al3+", 0.0269420419], + ["Al3+", "Se4+", 0.4161992578], + ["Se4+", "Al3+", 0.4161992578], + ["Al3+", "Se6+", 0.3358706275], + ["Se6+", "Al3+", 0.3358706275], + ["Al3+", "Se5+", 0.4004008991], + ["Se5+", "Al3+", 0.4004008991], + ["Al3+", "Se2+", 0.180629987], + ["Se2+", "Al3+", 0.180629987], + ["Al3+", "Se3+", 0.1685580438], + ["Se3+", "Al3+", 0.1685580438], + ["Al3+", "Br2+", 0.1209455111], + ["Br2+", "Al3+", 0.1209455111], + ["Al3+", "Br5+", 0.401441676], + ["Br5+", "Al3+", 0.401441676], + ["Al3+", "Br3+", 0.2602889715], + ["Br3+", "Al3+", 0.2602889715], + ["Al3+", "Sr2+", 0.4664532817], + ["Sr2+", "Al3+", 0.4664532817], + ["Al3+", "Y3+", 0.608079901], + ["Y3+", "Al3+", 0.608079901], + ["Al3+", "Y2+", 0.2053954608], + ["Y2+", "Al3+", 0.2053954608], + ["Al3+", "Zr2+", 0.017719854], + ["Zr2+", "Al3+", 0.017719854], + ["Al3+", "Zr4+", 0.3231471869], + ["Zr4+", "Al3+", 0.3231471869], + ["Al3+", "Zr3+", 0.1472097256], + ["Zr3+", "Al3+", 0.1472097256], + ["Al3+", "Nb5+", 0.4295952413], + ["Nb5+", "Al3+", 0.4295952413], + ["Al3+", "Nb3+", 0.3917859343], + ["Nb3+", "Al3+", 0.3917859343], + ["Al3+", "Nb4+", 0.33227501], + ["Nb4+", "Al3+", 0.33227501], + ["Al3+", "Nb2+", 0.3166869734], + ["Nb2+", "Al3+", 0.3166869734], + ["Al3+", "Nb7+", 0.3674164595], + ["Nb7+", "Al3+", 0.3674164595], + ["Al3+", "Mo3+", 0.3857727088], + ["Mo3+", "Al3+", 0.3857727088], + ["Al3+", "Mo4+", 0.4330530454], + ["Mo4+", "Al3+", 0.4330530454], + ["Al3+", "Mo6+", 0.3617195876], + ["Mo6+", "Al3+", 0.3617195876], + ["Al3+", "Mo5+", 0.3109846669], + ["Mo5+", "Al3+", 0.3109846669], + ["Al3+", "Mo2+", 0.1906937184], + ["Mo2+", "Al3+", 0.1906937184], + ["Al3+", "Tc4+", 0.2591249541], + ["Tc4+", "Al3+", 0.2591249541], + ["Al3+", "Tc3-", -0.0132725656], + ["Tc3-", "Al3+", -0.0132725656], + ["Al3+", "Tc3+", 0.1837521475], + ["Tc3+", "Al3+", 0.1837521475], + ["Al3+", "Tc7+", 0.3236013027], + ["Tc7+", "Al3+", 0.3236013027], + ["Al3+", "Tc5+", 0.3626156216], + ["Tc5+", "Al3+", 0.3626156216], + ["Al3+", "Tc6+", -0.0966675194], + ["Tc6+", "Al3+", -0.0966675194], + ["Al3+", "Tc2-", 0.0565576695], + ["Tc2-", "Al3+", 0.0565576695], + ["Al3+", "Tc2+", 0.2372662789], + ["Tc2+", "Al3+", 0.2372662789], + ["Al3+", "Ru2+", 0.2429146946], + ["Ru2+", "Al3+", 0.2429146946], + ["Al3+", "Ru6+", 0.322423846], + ["Ru6+", "Al3+", 0.322423846], + ["Al3+", "Ru4+", 0.3283336702], + ["Ru4+", "Al3+", 0.3283336702], + ["Al3+", "Ru5+", 0.4595097508], + ["Ru5+", "Al3+", 0.4595097508], + ["Al3+", "Ru3+", 0.2943937755], + ["Ru3+", "Al3+", 0.2943937755], + ["Al3+", "Rh4+", 0.2672067689], + ["Rh4+", "Al3+", 0.2672067689], + ["Al3+", "Rh3+", 0.460173345], + ["Rh3+", "Al3+", 0.460173345], + ["Al3+", "Pd2+", 0.265156046], + ["Pd2+", "Al3+", 0.265156046], + ["Al3+", "Pd4+", 0.1724335094], + ["Pd4+", "Al3+", 0.1724335094], + ["Al3+", "Pd3+", 0.2198624749], + ["Pd3+", "Al3+", 0.2198624749], + ["Al3+", "Ag3+", 0.2159231093], + ["Ag3+", "Al3+", 0.2159231093], + ["Al3+", "Ag2+", 0.3108701812], + ["Ag2+", "Al3+", 0.3108701812], + ["Al3+", "Cd2+", 0.4541964862], + ["Cd2+", "Al3+", 0.4541964862], + ["Al3+", "In3+", 0.590743419], + ["In3+", "Al3+", 0.590743419], + ["Al3+", "In2+", 0.1515976639], + ["In2+", "Al3+", 0.1515976639], + ["Al3+", "Sn4+", 0.4275104965], + ["Sn4+", "Al3+", 0.4275104965], + ["Al3+", "Sn3+", 0.3374144545], + ["Sn3+", "Al3+", 0.3374144545], + ["Al3+", "Sn2+", 0.3008924216], + ["Sn2+", "Al3+", 0.3008924216], + ["Al3+", "Sb5+", 0.4280852641], + ["Sb5+", "Al3+", 0.4280852641], + ["Al3+", "Sb2-", -0.1274191476], + ["Sb2-", "Al3+", -0.1274191476], + ["Al3+", "Sb3-", -0.1291737545], + ["Sb3-", "Al3+", -0.1291737545], + ["Al3+", "Sb3+", 0.3977556929], + ["Sb3+", "Al3+", 0.3977556929], + ["Al3+", "Sb4+", 0.483260073], + ["Sb4+", "Al3+", 0.483260073], + ["Al3+", "Te2-", 0.0851634211], + ["Te2-", "Al3+", 0.0851634211], + ["Al3+", "Te4+", 0.4383455687], + ["Te4+", "Al3+", 0.4383455687], + ["Al3+", "Te6+", 0.3609332272], + ["Te6+", "Al3+", 0.3609332272], + ["Al3+", "Te2+", 0.1695570865], + ["Te2+", "Al3+", 0.1695570865], + ["Al3+", "Te5+", 0.3844542648], + ["Te5+", "Al3+", 0.3844542648], + ["Al3+", "I3+", 0.2971879342], + ["I3+", "Al3+", 0.2971879342], + ["Al3+", "I7+", 0.3717090714], + ["I7+", "Al3+", 0.3717090714], + ["Al3+", "I5+", 0.4460464426], + ["I5+", "Al3+", 0.4460464426], + ["Al3+", "I2+", 0.172225668], + ["I2+", "Al3+", 0.172225668], + ["Al3+", "Ba2+", 0.4671540053], + ["Ba2+", "Al3+", 0.4671540053], + ["Al3+", "La3+", 0.5007230388], + ["La3+", "Al3+", 0.5007230388], + ["Al3+", "La2+", 0.3958733844], + ["La2+", "Al3+", 0.3958733844], + ["Al3+", "Ce3+", 0.4140904312], + ["Ce3+", "Al3+", 0.4140904312], + ["Al3+", "Ce2+", 0.2461726725], + ["Ce2+", "Al3+", 0.2461726725], + ["Al3+", "Ce4+", 0.3715324516], + ["Ce4+", "Al3+", 0.3715324516], + ["Al3+", "Pr3+", 0.399833718], + ["Pr3+", "Al3+", 0.399833718], + ["Al3+", "Pr4+", 0.3595440581], + ["Pr4+", "Al3+", 0.3595440581], + ["Al3+", "Pr2+", 0.2459598525], + ["Pr2+", "Al3+", 0.2459598525], + ["Al3+", "Nd3+", 0.5145383555], + ["Nd3+", "Al3+", 0.5145383555], + ["Al3+", "Nd2+", 0.2076448463], + ["Nd2+", "Al3+", 0.2076448463], + ["Al3+", "Pm3+", 0.321043467], + ["Pm3+", "Al3+", 0.321043467], + 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0.3951821419], + ["Cr5+", "Si4+", 0.3951821419], + ["Si4+", "Mn2+", 0.3976827948], + ["Mn2+", "Si4+", 0.3976827948], + ["Si4+", "Mn3+", 0.4127869041], + ["Mn3+", "Si4+", 0.4127869041], + ["Si4+", "Mn4+", 0.4471429423], + ["Mn4+", "Si4+", 0.4471429423], + ["Si4+", "Mn7+", 0.5211960342], + ["Mn7+", "Si4+", 0.5211960342], + ["Si4+", "Mn6+", 0.4705421423], + ["Mn6+", "Si4+", 0.4705421423], + ["Si4+", "Mn5+", 0.5308212795], + ["Mn5+", "Si4+", 0.5308212795], + ["Si4+", "Fe2+", 0.3610285839], + ["Fe2+", "Si4+", 0.3610285839], + ["Si4+", "Fe3+", 0.4186198832], + ["Fe3+", "Si4+", 0.4186198832], + ["Si4+", "Fe4+", 0.3638116488], + ["Fe4+", "Si4+", 0.3638116488], + ["Si4+", "Fe6+", 0.1851161024], + ["Fe6+", "Si4+", 0.1851161024], + ["Si4+", "Fe5+", 0.1347006846], + ["Fe5+", "Si4+", 0.1347006846], + ["Si4+", "Co2+", 0.3306893433], + ["Co2+", "Si4+", 0.3306893433], + ["Si4+", "Co4+", 0.5246580716], + ["Co4+", "Si4+", 0.5246580716], + ["Si4+", "Co3+", 0.4257957072], + ["Co3+", "Si4+", 0.4257957072], 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0.5357115], + ["Sr2+", "Si4+", 0.5357115], + ["Si4+", "Y3+", 0.4410237914], + ["Y3+", "Si4+", 0.4410237914], + ["Si4+", "Y2+", 0.4222519909], + ["Y2+", "Si4+", 0.4222519909], + ["Si4+", "Zr2+", -0.1347167804], + ["Zr2+", "Si4+", -0.1347167804], + ["Si4+", "Zr4+", 0.3205091046], + ["Zr4+", "Si4+", 0.3205091046], + ["Si4+", "Zr3+", -0.0139818667], + ["Zr3+", "Si4+", -0.0139818667], + ["Si4+", "Nb5+", 0.5709776234], + ["Nb5+", "Si4+", 0.5709776234], + ["Si4+", "Nb3+", 0.1877474021], + ["Nb3+", "Si4+", 0.1877474021], + ["Si4+", "Nb4+", 0.4490056775], + ["Nb4+", "Si4+", 0.4490056775], + ["Si4+", "Nb2+", 0.1824724757], + ["Nb2+", "Si4+", 0.1824724757], + ["Si4+", "Nb7+", 0.432869951], + ["Nb7+", "Si4+", 0.432869951], + ["Si4+", "Mo3+", 0.3221999764], + ["Mo3+", "Si4+", 0.3221999764], + ["Si4+", "Mo4+", 0.4460690525], + ["Mo4+", "Si4+", 0.4460690525], + ["Si4+", "Mo6+", 0.5952268618], + ["Mo6+", "Si4+", 0.5952268618], + ["Si4+", "Mo5+", 0.3877932989], + ["Mo5+", "Si4+", 0.3877932989], + 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"Si4+", 0.4306517465], + ["Si4+", "Rh3+", 0.2549346069], + ["Rh3+", "Si4+", 0.2549346069], + ["Si4+", "Pd2+", 0.0107704602], + ["Pd2+", "Si4+", 0.0107704602], + ["Si4+", "Pd4+", 0.0285022623], + ["Pd4+", "Si4+", 0.0285022623], + ["Si4+", "Pd3+", -0.129709434], + ["Pd3+", "Si4+", -0.129709434], + ["Si4+", "Ag3+", 0.2929458363], + ["Ag3+", "Si4+", 0.2929458363], + ["Si4+", "Ag2+", 0.0584249083], + ["Ag2+", "Si4+", 0.0584249083], + ["Si4+", "Cd2+", 0.3745170598], + ["Cd2+", "Si4+", 0.3745170598], + ["Si4+", "In3+", 0.5556528981], + ["In3+", "Si4+", 0.5556528981], + ["Si4+", "In2+", 0.114977005], + ["In2+", "Si4+", 0.114977005], + ["Si4+", "Sn4+", 0.6766469424], + ["Sn4+", "Si4+", 0.6766469424], + ["Si4+", "Sn3+", 0.463894039], + ["Sn3+", "Si4+", 0.463894039], + ["Si4+", "Sn2+", 0.268604065], + ["Sn2+", "Si4+", 0.268604065], + ["Si4+", "Sb5+", 0.3992886128], + ["Sb5+", "Si4+", 0.3992886128], + ["Si4+", "Sb2-", -0.1701313951], + ["Sb2-", "Si4+", -0.1701313951], + ["Si4+", "Sb3-", 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["Si4+", "Ce3+", 0.3108603857], + ["Ce3+", "Si4+", 0.3108603857], + ["Si4+", "Ce2+", 0.1991491111], + ["Ce2+", "Si4+", 0.1991491111], + ["Si4+", "Ce4+", 0.3688569838], + ["Ce4+", "Si4+", 0.3688569838], + ["Si4+", "Pr3+", 0.2904830346], + ["Pr3+", "Si4+", 0.2904830346], + ["Si4+", "Pr4+", 0.5044597348], + ["Pr4+", "Si4+", 0.5044597348], + ["Si4+", "Pr2+", 0.1891021853], + ["Pr2+", "Si4+", 0.1891021853], + ["Si4+", "Nd3+", 0.4279285019], + ["Nd3+", "Si4+", 0.4279285019], + ["Si4+", "Nd2+", 0.250164899], + ["Nd2+", "Si4+", 0.250164899], + ["Si4+", "Pm3+", 0.3371748407], + ["Pm3+", "Si4+", 0.3371748407], + ["Si4+", "Sm3+", 0.4288321289], + ["Sm3+", "Si4+", 0.4288321289], + ["Si4+", "Sm2+", 0.0090540715], + ["Sm2+", "Si4+", 0.0090540715], + ["Si4+", "Eu2+", 0.3732110443], + ["Eu2+", "Si4+", 0.3732110443], + ["Si4+", "Eu3+", 0.3674782065], + ["Eu3+", "Si4+", 0.3674782065], + ["Si4+", "Gd2+", 0.033968967], + ["Gd2+", "Si4+", 0.033968967], + ["Si4+", "Gd3+", 0.428235219], + ["Gd3+", "Si4+", 0.428235219], + ["Si4+", "Tb3+", 0.4066809703], + ["Tb3+", "Si4+", 0.4066809703], + ["Si4+", "Tb2+", 0.0488936404], + ["Tb2+", "Si4+", 0.0488936404], + ["Si4+", "Tb4+", 0.2584400079], + ["Tb4+", "Si4+", 0.2584400079], + ["Si4+", "Dy3+", 0.3671369454], + ["Dy3+", "Si4+", 0.3671369454], + ["Si4+", "Dy2+", 0.0675540583], + ["Dy2+", "Si4+", 0.0675540583], + ["Si4+", "Ho3+", 0.4540960566], + ["Ho3+", "Si4+", 0.4540960566], + ["Si4+", "Ho2+", 0.0984800881], + ["Ho2+", "Si4+", 0.0984800881], + ["Si4+", "Er3+", 0.2699039209], + ["Er3+", "Si4+", 0.2699039209], + ["Si4+", "Tm3+", 0.378535645], + ["Tm3+", "Si4+", 0.378535645], + ["Si4+", "Tm2+", 0.0844704839], + ["Tm2+", "Si4+", 0.0844704839], + ["Si4+", "Yb3+", 0.2632879776], + ["Yb3+", "Si4+", 0.2632879776], + ["Si4+", "Yb2+", -0.0169979122], + ["Yb2+", "Si4+", -0.0169979122], + ["Si4+", "Lu3+", 0.2910092102], + ["Lu3+", "Si4+", 0.2910092102], + ["Si4+", "Hf3+", 0.2509925993], + ["Hf3+", "Si4+", 0.2509925993], + ["Si4+", "Hf2+", 0.2098480578], + ["Hf2+", "Si4+", 0.2098480578], + ["Si4+", "Hf4+", 0.4362588127], + ["Hf4+", "Si4+", 0.4362588127], + ["Si4+", "Ta5+", 0.5556219359], + ["Ta5+", "Si4+", 0.5556219359], + ["Si4+", "Ta3+", -0.2087765137], + ["Ta3+", "Si4+", -0.2087765137], + ["Si4+", "Ta4+", 0.3854965707], + ["Ta4+", "Si4+", 0.3854965707], + ["Si4+", "Ta2+", -0.0825568958], + ["Ta2+", "Si4+", -0.0825568958], + ["Si4+", "W6+", 0.597564102], + ["W6+", "Si4+", 0.597564102], + ["Si4+", "W4+", 0.4699253917], + ["W4+", "Si4+", 0.4699253917], + ["Si4+", "W2+", 0.2728852426], + ["W2+", "Si4+", 0.2728852426], + ["Si4+", "W3+", 0.3720834529], + ["W3+", "Si4+", 0.3720834529], + ["Si4+", "W5+", 0.4501680419], + ["W5+", "Si4+", 0.4501680419], + ["Si4+", "Re5+", 0.3657905645], + ["Re5+", "Si4+", 0.3657905645], + ["Si4+", "Re3+", 0.0681449378], + ["Re3+", "Si4+", 0.0681449378], + ["Si4+", "Re6+", 0.2810938153], + ["Re6+", "Si4+", 0.2810938153], + ["Si4+", "Re2+", 0.2654719143], + ["Re2+", "Si4+", 0.2654719143], + ["Si4+", "Re4+", 0.183829893], + ["Re4+", "Si4+", 0.183829893], + ["Si4+", "Re7+", 0.4630752771], + ["Re7+", "Si4+", 0.4630752771], + ["Si4+", "Os7+", 0.2318513135], + ["Os7+", "Si4+", 0.2318513135], + ["Si4+", "Os6+", -0.0004969675], + ["Os6+", "Si4+", -0.0004969675], + ["Si4+", "Os5+", 0.4321013139], + ["Os5+", "Si4+", 0.4321013139], + ["Si4+", "Os2-", -0.0624205994], + ["Os2-", "Si4+", -0.0624205994], + ["Si4+", "Os3+", 0.0336107048], + ["Os3+", "Si4+", 0.0336107048], + ["Si4+", "Os4+", 0.1907743801], + ["Os4+", "Si4+", 0.1907743801], + ["Si4+", "Os8+", -0.0217710368], + ["Os8+", "Si4+", -0.0217710368], + ["Si4+", "Os2+", 0.3274045697], + ["Os2+", "Si4+", 0.3274045697], + ["Si4+", "Ir3+", -0.1184887477], + ["Ir3+", "Si4+", -0.1184887477], + ["Si4+", "Ir4+", 0.5338256089], + ["Ir4+", "Si4+", 0.5338256089], + ["Si4+", "Ir5+", 0.5357133981], + ["Ir5+", "Si4+", 0.5357133981], + ["Si4+", "Ir6+", 0.2692563613], + ["Ir6+", "Si4+", 0.2692563613], + ["Si4+", "Pt2+", 0.0651247724], + ["Pt2+", "Si4+", 0.0651247724], + ["Si4+", "Pt2-", -0.197887726], + ["Pt2-", "Si4+", -0.197887726], + ["Si4+", "Pt4+", 0.2633947688], + ["Pt4+", "Si4+", 0.2633947688], + ["Si4+", "Pt3+", 0.325765728], + ["Pt3+", "Si4+", 0.325765728], + ["Si4+", "Pt5+", 0.1101112197], + ["Pt5+", "Si4+", 0.1101112197], + ["Si4+", "Pt6+", 0.1994728108], + ["Pt6+", "Si4+", 0.1994728108], + ["Si4+", "Au2+", 0.1081280428], + ["Au2+", "Si4+", 0.1081280428], + ["Si4+", "Au3+", 0.0732190355], + ["Au3+", "Si4+", 0.0732190355], + ["Si4+", "Au5+", 0.0612234494], + ["Au5+", "Si4+", 0.0612234494], + ["Si4+", "Au4+", -0.0879340212], + ["Au4+", "Si4+", -0.0879340212], + ["Si4+", "Hg2+", 0.1605131358], + ["Hg2+", "Si4+", 0.1605131358], + ["Si4+", "Tl3+", 0.2801367124], + ["Tl3+", "Si4+", 0.2801367124], + ["Si4+", "Tl2+", 0.2963331927], + ["Tl2+", "Si4+", 0.2963331927], + ["Si4+", "Pb2+", 0.3558326865], + ["Pb2+", "Si4+", 0.3558326865], + ["Si4+", "Pb3+", 0.2838782889], + ["Pb3+", "Si4+", 0.2838782889], + ["Si4+", "Pb4+", 0.4639671065], + ["Pb4+", "Si4+", 0.4639671065], + ["Si4+", "Bi3+", 0.5595928137], + ["Bi3+", "Si4+", 0.5595928137], + ["Si4+", "Bi5+", 0.382783635], + ["Bi5+", "Si4+", 0.382783635], + ["Si4+", "Bi2+", 0.375578637], + ["Bi2+", "Si4+", 0.375578637], + ["Si4+", "Bi3-", -0.0341688065], + ["Bi3-", "Si4+", -0.0341688065], + ["Si4+", "Bi4+", 0.4379291824], + ["Bi4+", "Si4+", 0.4379291824], + ["Si4+", "Ac3+", 0.1071160822], + ["Ac3+", "Si4+", 0.1071160822], + ["Si4+", "Th4+", 0.0989070859], + ["Th4+", "Si4+", 0.0989070859], + ["Si4+", "Th3+", 0.0889444839], + ["Th3+", "Si4+", 0.0889444839], + ["Si4+", "Pa4+", 0.2659736322], + ["Pa4+", "Si4+", 0.2659736322], + ["Si4+", "Pa5+", 0.2979068407], + ["Pa5+", "Si4+", 0.2979068407], + ["Si4+", "Pa3+", 0.0740623817], + ["Pa3+", "Si4+", 0.0740623817], + ["Si4+", "U6+", 0.4616001798], + ["U6+", "Si4+", 0.4616001798], + ["Si4+", "U4+", -0.0133436193], + ["U4+", "Si4+", -0.0133436193], + ["Si4+", "U3+", -0.041117797], + ["U3+", "Si4+", -0.041117797], + ["Si4+", "U2+", -0.0009111045], + ["U2+", "Si4+", -0.0009111045], + ["Si4+", "U5+", 0.3158611964], + ["U5+", "Si4+", 0.3158611964], + ["Si4+", "Np6+", 0.1372018736], + ["Np6+", "Si4+", 0.1372018736], + ["Si4+", "Np4+", 0.1181451129], + ["Np4+", "Si4+", 0.1181451129], + ["Si4+", "Np3+", 0.1479701008], + ["Np3+", "Si4+", 0.1479701008], + ["Si4+", "Np7+", 0.4936038692], + ["Np7+", "Si4+", 0.4936038692], + ["Si4+", "Np5+", 0.3775591875], + ["Np5+", "Si4+", 0.3775591875], + ["Si4+", "Pu7+", 0.6459954964], + ["Pu7+", "Si4+", 0.6459954964], + ["Si4+", "Pu6+", 0.2470188162], + ["Pu6+", "Si4+", 0.2470188162], + ["Si4+", "Pu3+", 0.2389962449], + ["Pu3+", "Si4+", 0.2389962449], + ["Si4+", "Pu4+", 0.2849370972], + ["Pu4+", "Si4+", 0.2849370972], + ["Si4+", "Pu5+", 0.297690064], + ["Pu5+", "Si4+", 0.297690064], + ["Si4+", "H1+", 0.5292163767], + ["H1+", "Si4+", 0.5292163767], + ["Si4+", "H1-", 0.1774834375], + ["H1-", "Si4+", 0.1774834375], + ["Si4+", "Li1+", 0.5593905464], + ["Li1+", "Si4+", 0.5593905464], + ["Si4+", "B1+", 0.1723392534], + ["B1+", "Si4+", 0.1723392534], + ["Si4+", "B1-", -0.0646482253], + ["B1-", "Si4+", -0.0646482253], + ["Si4+", "C1-", 0.1581215749], + ["C1-", "Si4+", 0.1581215749], + ["Si4+", "C1+", 0.2203143533], + ["C1+", "Si4+", 0.2203143533], + ["Si4+", "N1-", 0.1784995704], + ["N1-", "Si4+", 0.1784995704], + ["Si4+", "N1+", 0.2239137207], + ["N1+", "Si4+", 0.2239137207], + ["Si4+", "O1-", -0.0125305475], + ["O1-", "Si4+", -0.0125305475], + ["Si4+", "F1-", -0.0074653509], + ["F1-", "Si4+", -0.0074653509], + ["Si4+", "Na1+", 0.6971516172], + ["Na1+", "Si4+", 0.6971516172], + ["Si4+", "Si1-", -0.1195020637], + ["Si1-", "Si4+", -0.1195020637], + ["Si4+", "P1+", 0.0120106212], + ["P1+", "Si4+", 0.0120106212], + ["Si4+", "P1-", -0.0262813336], + ["P1-", "Si4+", -0.0262813336], + ["Si4+", "S1-", -0.0392117926], + ["S1-", "Si4+", -0.0392117926], + ["Si4+", "S1+", 0.3140570767], + ["S1+", "Si4+", 0.3140570767], + ["Si4+", "Cl1-", 0.0288240843], + ["Cl1-", "Si4+", 0.0288240843], + ["Si4+", "K1+", 0.3737294161], + ["K1+", "Si4+", 0.3737294161], + ["Si4+", "Sc1+", -0.0729851984], + ["Sc1+", "Si4+", -0.0729851984], + ["Si4+", "Mn1+", 0.1817480684], + ["Mn1+", "Si4+", 0.1817480684], + ["Si4+", "Fe1+", 0.1610921772], + ["Fe1+", "Si4+", 0.1610921772], + ["Si4+", "Co1+", 0.1264914912], + ["Co1+", "Si4+", 0.1264914912], + ["Si4+", "Ni1+", 0.0703006808], + ["Ni1+", "Si4+", 0.0703006808], + ["Si4+", "Cu1+", 0.2021278621], + ["Cu1+", "Si4+", 0.2021278621], + ["Si4+", "Ga1+", -0.2271073686], + ["Ga1+", "Si4+", -0.2271073686], + ["Si4+", "As1-", 0.0137790564], + ["As1-", "Si4+", 0.0137790564], + ["Si4+", "As1+", 0.4221621231], + ["As1+", "Si4+", 0.4221621231], + ["Si4+", "Se1-", -0.0691803775], + ["Se1-", "Si4+", -0.0691803775], + ["Si4+", "Se1+", 0.2893440631], + ["Se1+", "Si4+", 0.2893440631], + ["Si4+", "Br1-", 0.0178264154], + ["Br1-", "Si4+", 0.0178264154], + ["Si4+", "Br1+", 0.074552294], + ["Br1+", "Si4+", 0.074552294], + ["Si4+", "Rb1+", 0.2984143325], + ["Rb1+", "Si4+", 0.2984143325], + ["Si4+", "Y1+", 0.080358882], + ["Y1+", "Si4+", 0.080358882], + ["Si4+", "Zr1+", -0.1900825749], + ["Zr1+", "Si4+", -0.1900825749], + ["Si4+", "Nb1+", 0.0704837435], + ["Nb1+", "Si4+", 0.0704837435], + ["Si4+", "Tc1-", -0.0598530473], + ["Tc1-", "Si4+", -0.0598530473], + ["Si4+", "Tc1+", 0.1396735166], + ["Tc1+", "Si4+", 0.1396735166], + ["Si4+", "Rh1+", -0.138549619], + ["Rh1+", "Si4+", -0.138549619], + ["Si4+", "Ag1+", 0.3472381405], + ["Ag1+", "Si4+", 0.3472381405], + ["Si4+", "In1+", 0.0104484128], + ["In1+", "Si4+", 0.0104484128], + ["Si4+", "Sb1-", -0.1419551407], + ["Sb1-", "Si4+", -0.1419551407], + ["Si4+", "Sb1+", 0.1464376013], + ["Sb1+", "Si4+", 0.1464376013], + ["Si4+", "Te1-", -0.0410372889], + ["Te1-", "Si4+", -0.0410372889], + ["Si4+", "Te1+", -0.0199373213], + ["Te1+", "Si4+", -0.0199373213], + ["Si4+", "I1-", 0.0275055385], + ["I1-", "Si4+", 0.0275055385], + ["Si4+", "I1+", 0.0369580295], + ["I1+", "Si4+", 0.0369580295], + ["Si4+", "Cs1+", 0.3453097985], + ["Cs1+", "Si4+", 0.3453097985], + ["Si4+", "La1+", -0.0977867178], + ["La1+", "Si4+", -0.0977867178], + ["Si4+", "Tb1+", -0.1626208702], + ["Tb1+", "Si4+", -0.1626208702], + ["Si4+", "Ta1+", 0.1137411986], + ["Ta1+", "Si4+", 0.1137411986], + ["Si4+", "Os1-", -0.0272031203], + ["Os1-", "Si4+", -0.0272031203], + ["Si4+", "Os1+", -0.1729849177], + ["Os1+", "Si4+", -0.1729849177], + ["Si4+", "Pt1-", -0.0792711398], + ["Pt1-", "Si4+", -0.0792711398], + ["Si4+", "Pt1+", 0.1694054821], + ["Pt1+", "Si4+", 0.1694054821], + ["Si4+", "Au1-", -0.3987610809], + ["Au1-", "Si4+", -0.3987610809], + ["Si4+", "Au1+", -0.0301934734], + ["Au1+", "Si4+", -0.0301934734], + ["Si4+", "Hg1+", 0.1791507071], + ["Hg1+", "Si4+", 0.1791507071], + ["Si4+", "Tl1+", 0.290961666], + ["Tl1+", "Si4+", 0.290961666], + ["Si4+", "Bi1+", 0.205914518], + ["Bi1+", "Si4+", 0.205914518], + ["Si2-", "Si2-", 1.0], + ["Si2-", "Si4-", 0.2791546949], + ["Si4-", "Si2-", 0.2791546949], + ["Si2-", "Si3+", -0.206456286], + ["Si3+", "Si2-", -0.206456286], + ["Si2-", "Si3-", 0.0960191521], + ["Si3-", "Si2-", 0.0960191521], + ["Si2-", "P5+", -0.0314690864], + ["P5+", "Si2-", -0.0314690864], + ["Si2-", "P2-", 0.0900602205], + ["P2-", "Si2-", 0.0900602205], + ["Si2-", "P3-", 0.0840162794], + ["P3-", "Si2-", 0.0840162794], + ["Si2-", "P4+", 0.0219027416], + ["P4+", "Si2-", 0.0219027416], + ["Si2-", "P3+", -0.0245029667], + ["P3+", "Si2-", -0.0245029667], + ["Si2-", "P2+", -0.0023256086], + ["P2+", "Si2-", -0.0023256086], + ["Si2-", "S2-", 0.2243482878], + ["S2-", "Si2-", 0.2243482878], + ["Si2-", "S6+", -0.1095170382], + ["S6+", "Si2-", -0.1095170382], + ["Si2-", "S2+", 0.0108017325], + ["S2+", "Si2-", 0.0108017325], + ["Si2-", "S3+", -0.0023930664], + ["S3+", "Si2-", -0.0023930664], + ["Si2-", "S4+", -0.094084205], + ["S4+", "Si2-", -0.094084205], + ["Si2-", "S5+", -0.1465247901], + ["S5+", "Si2-", -0.1465247901], + ["Si2-", "Cl7+", -0.1014753131], + ["Cl7+", "Si2-", -0.1014753131], + ["Si2-", "Cl5+", 0.0761459467], + ["Cl5+", "Si2-", 0.0761459467], + ["Si2-", "Cl3+", -0.186188246], + ["Cl3+", "Si2-", -0.186188246], + ["Si2-", "Ca2+", 0.0048101963], + ["Ca2+", "Si2-", 0.0048101963], + ["Si2-", "Sc3+", -0.0607552287], + ["Sc3+", "Si2-", -0.0607552287], + ["Si2-", "Sc2+", 0.0166239868], + ["Sc2+", "Si2-", 0.0166239868], + ["Si2-", "Ti3+", -0.1602409825], + ["Ti3+", "Si2-", -0.1602409825], + ["Si2-", "Ti4+", 0.0981098611], + ["Ti4+", "Si2-", 0.0981098611], + ["Si2-", "Ti2+", -0.0185710493], + ["Ti2+", "Si2-", -0.0185710493], + ["Si2-", "V4+", -0.0255190906], + ["V4+", "Si2-", -0.0255190906], + ["Si2-", "V3+", -0.1061279705], + ["V3+", "Si2-", -0.1061279705], + ["Si2-", "V2+", 0.0765793685], + ["V2+", "Si2-", 0.0765793685], + ["Si2-", "V5+", 0.0055059761], + ["V5+", "Si2-", 0.0055059761], + ["Si2-", "Cr3+", 0.0193581887], + ["Cr3+", "Si2-", 0.0193581887], + ["Si2-", "Cr2+", -0.0406727519], + ["Cr2+", "Si2-", -0.0406727519], + ["Si2-", "Cr6+", -0.0417796707], + ["Cr6+", "Si2-", -0.0417796707], + ["Si2-", "Cr4+", 0.0189714587], + ["Cr4+", "Si2-", 0.0189714587], + ["Si2-", "Cr5+", -0.0576724564], + ["Cr5+", "Si2-", -0.0576724564], + ["Si2-", "Mn2+", -0.0725250719], + ["Mn2+", "Si2-", -0.0725250719], + ["Si2-", "Mn3+", -0.1646703373], + ["Mn3+", "Si2-", -0.1646703373], + ["Si2-", "Mn4+", -0.0657213662], + ["Mn4+", "Si2-", -0.0657213662], + ["Si2-", "Mn7+", -0.1075127649], + ["Mn7+", "Si2-", -0.1075127649], + ["Si2-", "Mn6+", 0.028591488], + ["Mn6+", "Si2-", 0.028591488], + ["Si2-", "Mn5+", -0.0339813622], + ["Mn5+", "Si2-", -0.0339813622], + ["Si2-", "Fe2+", -0.1439386105], + ["Fe2+", "Si2-", -0.1439386105], + ["Si2-", "Fe3+", -0.0997996396], + ["Fe3+", "Si2-", -0.0997996396], + ["Si2-", "Fe4+", -0.0791073525], + ["Fe4+", "Si2-", -0.0791073525], + ["Si2-", "Fe6+", -0.1849259581], + ["Fe6+", "Si2-", -0.1849259581], + ["Si2-", "Fe5+", 0.0076615107], + ["Fe5+", "Si2-", 0.0076615107], + ["Si2-", "Co2+", 0.0146705789], + ["Co2+", "Si2-", 0.0146705789], + ["Si2-", "Co4+", -0.1119308939], + ["Co4+", "Si2-", -0.1119308939], + ["Si2-", "Co3+", -0.1397579657], + ["Co3+", "Si2-", -0.1397579657], + ["Si2-", "Ni2+", -0.0325335947], + ["Ni2+", "Si2-", -0.0325335947], + ["Si2-", "Ni4+", -0.1330857502], + ["Ni4+", "Si2-", -0.1330857502], + ["Si2-", "Ni3+", -0.1119805157], + ["Ni3+", "Si2-", -0.1119805157], + ["Si2-", "Cu2+", -0.1253538376], + ["Cu2+", "Si2-", -0.1253538376], + ["Si2-", "Cu3+", -0.0825721062], + ["Cu3+", "Si2-", -0.0825721062], + ["Si2-", "Zn2+", -0.1006515763], + ["Zn2+", "Si2-", -0.1006515763], + ["Si2-", "Ga3+", -0.1053575096], + ["Ga3+", "Si2-", -0.1053575096], + ["Si2-", "Ga4+", 0.0610269442], + ["Ga4+", "Si2-", 0.0610269442], + ["Si2-", "Ga2+", -0.0182071544], + ["Ga2+", "Si2-", -0.0182071544], + ["Si2-", "Ge4-", 0.3150900733], + ["Ge4-", "Si2-", 0.3150900733], + ["Si2-", "Ge4+", -0.0814785556], + ["Ge4+", "Si2-", -0.0814785556], + ["Si2-", "Ge2-", 0.3162283795], + ["Ge2-", "Si2-", 0.3162283795], + ["Si2-", "Ge2+", -0.0689370866], + ["Ge2+", "Si2-", -0.0689370866], + ["Si2-", "Ge3+", -0.159123195], + ["Ge3+", "Si2-", -0.159123195], + ["Si2-", "As2-", -0.252179901], + ["As2-", "Si2-", -0.252179901], + ["Si2-", "As3+", 0.0386469878], + ["As3+", "Si2-", 0.0386469878], + ["Si2-", "As5+", -0.0743453832], + ["As5+", "Si2-", -0.0743453832], + ["Si2-", "As3-", 0.1288365964], + ["As3-", "Si2-", 0.1288365964], + ["Si2-", "As2+", -0.0386294471], + ["As2+", "Si2-", -0.0386294471], + ["Si2-", "As4+", 0.0084507427], + ["As4+", "Si2-", 0.0084507427], + ["Si2-", "Se2-", 0.2923116865], + ["Se2-", "Si2-", 0.2923116865], + ["Si2-", "Se4+", -0.0474468621], + ["Se4+", "Si2-", -0.0474468621], + ["Si2-", "Se6+", -0.0366837045], + ["Se6+", "Si2-", -0.0366837045], + ["Si2-", "Se5+", -0.013614781], + ["Se5+", "Si2-", -0.013614781], + ["Si2-", "Se2+", -0.033446136], + ["Se2+", "Si2-", -0.033446136], + ["Si2-", "Se3+", -0.0057442469], + ["Se3+", "Si2-", -0.0057442469], + ["Si2-", "Br2+", -0.0016340823], + ["Br2+", "Si2-", -0.0016340823], + ["Si2-", "Br5+", -0.0805775274], + ["Br5+", "Si2-", -0.0805775274], + ["Si2-", "Br3+", -0.0644654689], + ["Br3+", "Si2-", -0.0644654689], + ["Si2-", "Sr2+", 0.006913644], + ["Sr2+", "Si2-", 0.006913644], + ["Si2-", "Y3+", 0.1169587118], + ["Y3+", "Si2-", 0.1169587118], + ["Si2-", "Y2+", 0.0915196852], + ["Y2+", "Si2-", 0.0915196852], + ["Si2-", "Zr2+", 0.0303850723], + ["Zr2+", "Si2-", 0.0303850723], + ["Si2-", "Zr4+", 0.0024488869], + ["Zr4+", "Si2-", 0.0024488869], + ["Si2-", "Zr3+", 0.0312982333], + ["Zr3+", "Si2-", 0.0312982333], + ["Si2-", "Nb5+", 0.0876798756], + ["Nb5+", "Si2-", 0.0876798756], + ["Si2-", "Nb3+", -0.0076430622], + ["Nb3+", "Si2-", -0.0076430622], + ["Si2-", "Nb4+", -0.0449152965], + ["Nb4+", "Si2-", -0.0449152965], + ["Si2-", "Nb2+", 0.059290835], + ["Nb2+", "Si2-", 0.059290835], + ["Si2-", "Nb7+", -0.0857301272], + ["Nb7+", "Si2-", -0.0857301272], + ["Si2-", "Mo3+", 0.1636777822], + ["Mo3+", "Si2-", 0.1636777822], + ["Si2-", "Mo4+", 0.1376087207], + ["Mo4+", "Si2-", 0.1376087207], + ["Si2-", "Mo6+", -0.06014422], + ["Mo6+", "Si2-", -0.06014422], + ["Si2-", "Mo5+", 0.0049368712], + ["Mo5+", "Si2-", 0.0049368712], + ["Si2-", "Mo2+", -0.0405195188], + ["Mo2+", "Si2-", -0.0405195188], + ["Si2-", "Tc4+", 0.0214448179], + ["Tc4+", "Si2-", 0.0214448179], + ["Si2-", "Tc3-", 0.06764003], + ["Tc3-", "Si2-", 0.06764003], + ["Si2-", "Tc3+", 0.0477095773], + ["Tc3+", "Si2-", 0.0477095773], + ["Si2-", "Tc7+", -0.0284126442], + ["Tc7+", "Si2-", -0.0284126442], + ["Si2-", "Tc5+", -0.0417281365], + ["Tc5+", "Si2-", -0.0417281365], + ["Si2-", "Tc6+", -0.1035899926], + ["Tc6+", "Si2-", -0.1035899926], + ["Si2-", "Tc2-", 0.4032610641], + ["Tc2-", "Si2-", 0.4032610641], + ["Si2-", "Tc2+", 0.0147042859], + ["Tc2+", "Si2-", 0.0147042859], + ["Si2-", "Ru2+", 0.02840274], + ["Ru2+", "Si2-", 0.02840274], + ["Si2-", "Ru6+", -0.1191287488], + ["Ru6+", "Si2-", -0.1191287488], + ["Si2-", "Ru4+", -0.1681686828], + ["Ru4+", "Si2-", -0.1681686828], + ["Si2-", "Ru5+", -0.0697327851], + ["Ru5+", "Si2-", -0.0697327851], + ["Si2-", "Ru3+", 0.1316328096], + ["Ru3+", "Si2-", 0.1316328096], + ["Si2-", "Rh4+", -0.111615541], + ["Rh4+", "Si2-", -0.111615541], + ["Si2-", "Rh3+", 0.0519834696], + ["Rh3+", "Si2-", 0.0519834696], + ["Si2-", "Pd2+", 0.176184465], + ["Pd2+", "Si2-", 0.176184465], + ["Si2-", "Pd4+", -0.1858195695], + ["Pd4+", "Si2-", -0.1858195695], + ["Si2-", "Pd3+", 0.0862788684], + ["Pd3+", "Si2-", 0.0862788684], + ["Si2-", "Ag3+", -0.0574754012], + ["Ag3+", "Si2-", -0.0574754012], + ["Si2-", "Ag2+", -0.1234860269], + ["Ag2+", "Si2-", -0.1234860269], + ["Si2-", "Cd2+", -0.1129582563], + ["Cd2+", "Si2-", -0.1129582563], + ["Si2-", "In3+", -0.0889999022], + ["In3+", "Si2-", -0.0889999022], + ["Si2-", "In2+", 0.0572463458], + ["In2+", "Si2-", 0.0572463458], + ["Si2-", "Sn4+", -0.1377303421], + ["Sn4+", "Si2-", -0.1377303421], + ["Si2-", "Sn3+", 0.0086246932], + ["Sn3+", "Si2-", 0.0086246932], + ["Si2-", "Sn2+", -0.0134977154], + ["Sn2+", "Si2-", -0.0134977154], + ["Si2-", "Sb5+", -0.0239083639], + ["Sb5+", "Si2-", -0.0239083639], + ["Si2-", "Sb2-", 0.1633239511], + ["Sb2-", "Si2-", 0.1633239511], + ["Si2-", "Sb3-", 0.1959205219], + ["Sb3-", "Si2-", 0.1959205219], + ["Si2-", "Sb3+", -0.039008322], + ["Sb3+", "Si2-", -0.039008322], + ["Si2-", "Sb4+", -0.0288325813], + ["Sb4+", "Si2-", -0.0288325813], + ["Si2-", "Te2-", 0.1850209298], + ["Te2-", "Si2-", 0.1850209298], + ["Si2-", "Te4+", -0.11689174], + ["Te4+", "Si2-", -0.11689174], + ["Si2-", "Te6+", -0.0305534905], + ["Te6+", "Si2-", -0.0305534905], + ["Si2-", "Te2+", -0.0826131807], + ["Te2+", "Si2-", -0.0826131807], + ["Si2-", "Te5+", -0.0348674881], + ["Te5+", "Si2-", -0.0348674881], + ["Si2-", "I3+", -0.1216667454], + ["I3+", "Si2-", -0.1216667454], + ["Si2-", "I7+", -0.0109524709], + ["I7+", "Si2-", -0.0109524709], + ["Si2-", "I5+", -0.2423798847], + ["I5+", "Si2-", -0.2423798847], + ["Si2-", "I2+", -0.0201818953], + ["I2+", "Si2-", -0.0201818953], + ["Si2-", "Ba2+", 0.1282823613], + ["Ba2+", "Si2-", 0.1282823613], + ["Si2-", "La3+", -0.0375891606], + ["La3+", "Si2-", -0.0375891606], + ["Si2-", "La2+", 0.2450541771], + ["La2+", "Si2-", 0.2450541771], + ["Si2-", "Ce3+", 0.0671180636], + ["Ce3+", "Si2-", 0.0671180636], + ["Si2-", "Ce2+", 0.1807955542], + ["Ce2+", "Si2-", 0.1807955542], + ["Si2-", "Ce4+", 0.0361760718], + ["Ce4+", "Si2-", 0.0361760718], + ["Si2-", "Pr3+", 0.1390361814], + ["Pr3+", "Si2-", 0.1390361814], + ["Si2-", "Pr4+", -0.0235431682], + ["Pr4+", "Si2-", -0.0235431682], + ["Si2-", "Pr2+", 0.0450489591], + ["Pr2+", "Si2-", 0.0450489591], + ["Si2-", "Nd3+", -0.0605322569], + ["Nd3+", "Si2-", -0.0605322569], + ["Si2-", "Nd2+", 0.2515769659], + ["Nd2+", "Si2-", 0.2515769659], + ["Si2-", "Pm3+", 0.0198852123], + ["Pm3+", "Si2-", 0.0198852123], + ["Si2-", "Sm3+", -0.0852894964], + ["Sm3+", "Si2-", -0.0852894964], + ["Si2-", "Sm2+", 0.0849982763], + ["Sm2+", "Si2-", 0.0849982763], + ["Si2-", "Eu2+", 0.1300717855], + ["Eu2+", "Si2-", 0.1300717855], + ["Si2-", "Eu3+", 0.0398112991], + ["Eu3+", "Si2-", 0.0398112991], + ["Si2-", "Gd2+", -0.0132318835], + ["Gd2+", "Si2-", -0.0132318835], + ["Si2-", "Gd3+", -0.0126773629], + ["Gd3+", "Si2-", -0.0126773629], + ["Si2-", "Tb3+", 0.0091785466], + ["Tb3+", "Si2-", 0.0091785466], + ["Si2-", "Tb2+", 0.1438630501], + ["Tb2+", "Si2-", 0.1438630501], + ["Si2-", "Tb4+", 0.1880902487], + ["Tb4+", "Si2-", 0.1880902487], + ["Si2-", "Dy3+", -0.1108054983], + ["Dy3+", "Si2-", -0.1108054983], + ["Si2-", "Dy2+", 0.109535663], + ["Dy2+", "Si2-", 0.109535663], + ["Si2-", "Ho3+", -0.030823606], + ["Ho3+", "Si2-", -0.030823606], + ["Si2-", "Ho2+", 0.0892811694], + ["Ho2+", "Si2-", 0.0892811694], + ["Si2-", "Er3+", 0.0159906778], + ["Er3+", "Si2-", 0.0159906778], + ["Si2-", "Tm3+", -0.1445563208], + ["Tm3+", "Si2-", -0.1445563208], + ["Si2-", "Tm2+", 0.0189268245], + ["Tm2+", "Si2-", 0.0189268245], + ["Si2-", "Yb3+", 0.160800804], + ["Yb3+", "Si2-", 0.160800804], + ["Si2-", "Yb2+", 0.2075699718], + ["Yb2+", "Si2-", 0.2075699718], + ["Si2-", "Lu3+", -0.04603575], + ["Lu3+", "Si2-", -0.04603575], + ["Si2-", "Hf3+", -0.0356926011], + ["Hf3+", "Si2-", -0.0356926011], + ["Si2-", "Hf2+", -0.1392673947], + ["Hf2+", "Si2-", -0.1392673947], + ["Si2-", "Hf4+", 0.0941580419], + ["Hf4+", "Si2-", 0.0941580419], + ["Si2-", "Ta5+", 0.074870515], + ["Ta5+", "Si2-", 0.074870515], + ["Si2-", "Ta3+", -0.005397014], + ["Ta3+", "Si2-", -0.005397014], + ["Si2-", "Ta4+", -0.0712504852], + ["Ta4+", "Si2-", -0.0712504852], + ["Si2-", "Ta2+", -0.094794395], + ["Ta2+", "Si2-", -0.094794395], + ["Si2-", "W6+", -0.0112195956], + ["W6+", "Si2-", -0.0112195956], + ["Si2-", "W4+", 0.0196717642], + ["W4+", "Si2-", 0.0196717642], + ["Si2-", "W2+", -0.0004164543], + ["W2+", "Si2-", -0.0004164543], + ["Si2-", "W3+", -0.1036945349], + ["W3+", "Si2-", -0.1036945349], + ["Si2-", "W5+", 0.0485491359], + ["W5+", "Si2-", 0.0485491359], + ["Si2-", "Re5+", 0.143311451], + ["Re5+", "Si2-", 0.143311451], + ["Si2-", "Re3+", 0.0746627261], + ["Re3+", "Si2-", 0.0746627261], + ["Si2-", "Re6+", 0.0520260393], + ["Re6+", "Si2-", 0.0520260393], + ["Si2-", "Re2+", -0.0469784575], + ["Re2+", "Si2-", -0.0469784575], + ["Si2-", "Re4+", -0.0466098637], + ["Re4+", "Si2-", -0.0466098637], + ["Si2-", "Re7+", -0.0380120641], + ["Re7+", "Si2-", -0.0380120641], + ["Si2-", "Os7+", -0.0625763318], + ["Os7+", "Si2-", -0.0625763318], + ["Si2-", "Os6+", -0.0254431629], + ["Os6+", "Si2-", -0.0254431629], + ["Si2-", "Os5+", -0.0870976807], + ["Os5+", "Si2-", -0.0870976807], + ["Si2-", "Os2-", 0.1061776433], + ["Os2-", "Si2-", 0.1061776433], + ["Si2-", "Os3+", -0.0659885044], + ["Os3+", "Si2-", -0.0659885044], + ["Si2-", "Os4+", 0.0339765616], + ["Os4+", "Si2-", 0.0339765616], + ["Si2-", "Os8+", 0.0009056877], + ["Os8+", "Si2-", 0.0009056877], + ["Si2-", "Os2+", 0.0009393804], + ["Os2+", "Si2-", 0.0009393804], + ["Si2-", "Ir3+", 0.0205979383], + ["Ir3+", "Si2-", 0.0205979383], + ["Si2-", "Ir4+", 0.0044410217], + ["Ir4+", "Si2-", 0.0044410217], + ["Si2-", "Ir5+", -0.1217499706], + ["Ir5+", "Si2-", -0.1217499706], + ["Si2-", "Ir6+", -0.0418379596], + ["Ir6+", "Si2-", -0.0418379596], + ["Si2-", "Pt2+", 0.0249752174], + ["Pt2+", "Si2-", 0.0249752174], + ["Si2-", "Pt2-", -0.0211343914], + ["Pt2-", "Si2-", -0.0211343914], + ["Si2-", "Pt4+", -0.1337944921], + ["Pt4+", "Si2-", -0.1337944921], + ["Si2-", "Pt3+", -0.1190314951], + ["Pt3+", "Si2-", -0.1190314951], + ["Si2-", "Pt5+", -0.2161307945], + ["Pt5+", "Si2-", -0.2161307945], + ["Si2-", "Pt6+", -0.1708499414], + ["Pt6+", "Si2-", -0.1708499414], + ["Si2-", "Au2+", -0.0646822647], + ["Au2+", "Si2-", -0.0646822647], + ["Si2-", "Au3+", -0.2005995103], + ["Au3+", "Si2-", -0.2005995103], + ["Si2-", "Au5+", -0.1686998001], + ["Au5+", "Si2-", -0.1686998001], + ["Si2-", "Au4+", -0.0916365384], + ["Au4+", "Si2-", -0.0916365384], + ["Si2-", "Hg2+", -0.2849385802], + ["Hg2+", "Si2-", -0.2849385802], + ["Si2-", "Tl3+", -0.0679596938], + ["Tl3+", "Si2-", -0.0679596938], + ["Si2-", "Tl2+", -0.0693326049], + ["Tl2+", "Si2-", -0.0693326049], + ["Si2-", "Pb2+", 0.0426395861], + ["Pb2+", "Si2-", 0.0426395861], + ["Si2-", "Pb3+", -0.0727719062], + ["Pb3+", "Si2-", -0.0727719062], + ["Si2-", "Pb4+", -0.1527528216], + ["Pb4+", "Si2-", -0.1527528216], + ["Si2-", "Bi3+", -0.0384373497], + ["Bi3+", "Si2-", -0.0384373497], + ["Si2-", "Bi5+", -0.0899859017], + ["Bi5+", "Si2-", -0.0899859017], + ["Si2-", "Bi2+", -0.0687526301], + ["Bi2+", "Si2-", -0.0687526301], + ["Si2-", "Bi3-", 0.4482211194], + ["Bi3-", "Si2-", 0.4482211194], + ["Si2-", "Bi4+", 0.0137983146], + ["Bi4+", "Si2-", 0.0137983146], + ["Si2-", "Ac3+", 0.0330335058], + ["Ac3+", "Si2-", 0.0330335058], + ["Si2-", "Th4+", 0.2111991698], + ["Th4+", "Si2-", 0.2111991698], + ["Si2-", "Th3+", -0.0436250428], + ["Th3+", "Si2-", -0.0436250428], + ["Si2-", "Pa4+", -0.0437647938], + ["Pa4+", "Si2-", -0.0437647938], + ["Si2-", "Pa5+", -0.0444534132], + ["Pa5+", "Si2-", -0.0444534132], + ["Si2-", "Pa3+", 0.0498898254], + ["Pa3+", "Si2-", 0.0498898254], + ["Si2-", "U6+", -0.2040429595], + ["U6+", "Si2-", -0.2040429595], + ["Si2-", "U4+", -0.0006908342], + ["U4+", "Si2-", -0.0006908342], + ["Si2-", "U3+", -0.0291165814], + ["U3+", "Si2-", -0.0291165814], + ["Si2-", "U2+", -0.1569013653], + ["U2+", "Si2-", -0.1569013653], + ["Si2-", "U5+", 0.0739674305], + ["U5+", "Si2-", 0.0739674305], + ["Si2-", "Np6+", -0.0280372361], + ["Np6+", "Si2-", -0.0280372361], + ["Si2-", "Np4+", -0.0973269222], + ["Np4+", "Si2-", -0.0973269222], + ["Si2-", "Np3+", 0.0027007194], + ["Np3+", "Si2-", 0.0027007194], + ["Si2-", "Np7+", -0.0616390613], + ["Np7+", "Si2-", -0.0616390613], + ["Si2-", "Np5+", -0.0353182236], + ["Np5+", "Si2-", -0.0353182236], + ["Si2-", "Pu7+", -0.113026955], + ["Pu7+", "Si2-", -0.113026955], + ["Si2-", "Pu6+", -0.0781153413], + ["Pu6+", "Si2-", -0.0781153413], + ["Si2-", "Pu3+", 0.0004510599], + ["Pu3+", "Si2-", 0.0004510599], + ["Si2-", "Pu4+", -0.1886033638], + ["Pu4+", "Si2-", -0.1886033638], + ["Si2-", "Pu5+", -0.0010425549], + ["Pu5+", "Si2-", -0.0010425549], + ["Si2-", "H1+", -0.0748187784], + ["H1+", "Si2-", -0.0748187784], + ["Si2-", "H1-", 0.1996035233], + ["H1-", "Si2-", 0.1996035233], + ["Si2-", "Li1+", 0.0558722827], + ["Li1+", "Si2-", 0.0558722827], + ["Si2-", "B1+", 0.0006099375], + ["B1+", "Si2-", 0.0006099375], + ["Si2-", "B1-", 0.1998203675], + ["B1-", "Si2-", 0.1998203675], + ["Si2-", "C1-", 0.138284948], + ["C1-", "Si2-", 0.138284948], + ["Si2-", "C1+", -0.0951858032], + ["C1+", "Si2-", -0.0951858032], + ["Si2-", "N1-", -0.090608227], + ["N1-", "Si2-", -0.090608227], + ["Si2-", "N1+", -0.2854441314], + ["N1+", "Si2-", -0.2854441314], + ["Si2-", "O1-", 0.1936343404], + ["O1-", "Si2-", 0.1936343404], + ["Si2-", "F1-", 0.2222168059], + ["F1-", "Si2-", 0.2222168059], + ["Si2-", "Na1+", -0.0485040133], + ["Na1+", "Si2-", -0.0485040133], + ["Si2-", "Si1-", 0.7287960687], + ["Si1-", "Si2-", 0.7287960687], + ["Si2-", "P1+", -0.0441825109], + ["P1+", "Si2-", -0.0441825109], + ["Si2-", "P1-", 0.0995987886], + ["P1-", "Si2-", 0.0995987886], + ["Si2-", "S1-", 0.2309023567], + ["S1-", "Si2-", 0.2309023567], + ["Si2-", "S1+", 0.042070701], + ["S1+", "Si2-", 0.042070701], + ["Si2-", "Cl1-", 0.1674254022], + ["Cl1-", "Si2-", 0.1674254022], + ["Si2-", "K1+", 0.0380504021], + ["K1+", "Si2-", 0.0380504021], + ["Si2-", "Sc1+", 0.1445546858], + ["Sc1+", "Si2-", 0.1445546858], + ["Si2-", "Mn1+", 0.165391638], + ["Mn1+", "Si2-", 0.165391638], + ["Si2-", "Fe1+", 0.0301459689], + ["Fe1+", "Si2-", 0.0301459689], + ["Si2-", "Co1+", -0.0138205841], + ["Co1+", "Si2-", -0.0138205841], + ["Si2-", "Ni1+", 0.0426234451], + ["Ni1+", "Si2-", 0.0426234451], + ["Si2-", "Cu1+", 0.051588489], + ["Cu1+", "Si2-", 0.051588489], + ["Si2-", "Ga1+", 0.1276022381], + ["Ga1+", "Si2-", 0.1276022381], + ["Si2-", "As1-", 0.0351928395], + ["As1-", "Si2-", 0.0351928395], + ["Si2-", "As1+", -0.054208156], + ["As1+", "Si2-", -0.054208156], + ["Si2-", "Se1-", 0.2715864126], + ["Se1-", "Si2-", 0.2715864126], + ["Si2-", "Se1+", -0.0455792325], + ["Se1+", "Si2-", -0.0455792325], + ["Si2-", "Br1-", 0.2458990793], + ["Br1-", "Si2-", 0.2458990793], + ["Si2-", "Br1+", -0.1023891869], + ["Br1+", "Si2-", -0.1023891869], + ["Si2-", "Rb1+", 0.0641744589], + ["Rb1+", "Si2-", 0.0641744589], + ["Si2-", "Y1+", 0.0261905217], + ["Y1+", "Si2-", 0.0261905217], + ["Si2-", "Zr1+", 0.0120309752], + ["Zr1+", "Si2-", 0.0120309752], + ["Si2-", "Nb1+", 0.0765452984], + ["Nb1+", "Si2-", 0.0765452984], + ["Si2-", "Tc1-", 0.0031937813], + ["Tc1-", "Si2-", 0.0031937813], + ["Si2-", "Tc1+", 0.0348413416], + ["Tc1+", "Si2-", 0.0348413416], + ["Si2-", "Rh1+", 0.2439418027], + ["Rh1+", "Si2-", 0.2439418027], + ["Si2-", "Ag1+", -0.0536008022], + ["Ag1+", "Si2-", -0.0536008022], + ["Si2-", "In1+", 0.07998262], + ["In1+", "Si2-", 0.07998262], + ["Si2-", "Sb1-", 0.1877945007], + ["Sb1-", "Si2-", 0.1877945007], + ["Si2-", "Sb1+", -0.1243815536], + ["Sb1+", "Si2-", -0.1243815536], + ["Si2-", "Te1-", 0.144866097], + ["Te1-", "Si2-", 0.144866097], + ["Si2-", "Te1+", -0.0028950092], + ["Te1+", "Si2-", -0.0028950092], + ["Si2-", "I1-", 0.2157324502], + ["I1-", "Si2-", 0.2157324502], + ["Si2-", "I1+", -0.116618144], + ["I1+", "Si2-", -0.116618144], + ["Si2-", "Cs1+", 0.03571163], + ["Cs1+", "Si2-", 0.03571163], + ["Si2-", "La1+", 0.1900158029], + ["La1+", "Si2-", 0.1900158029], + ["Si2-", "Tb1+", 0.1081551309], + ["Tb1+", "Si2-", 0.1081551309], + ["Si2-", "Ta1+", -0.0468470719], + ["Ta1+", "Si2-", -0.0468470719], + ["Si2-", "Os1-", 0.1473579166], + ["Os1-", "Si2-", 0.1473579166], + ["Si2-", "Os1+", -0.0318903504], + ["Os1+", "Si2-", -0.0318903504], + ["Si2-", "Pt1-", 0.2906568785], + ["Pt1-", "Si2-", 0.2906568785], + ["Si2-", "Pt1+", -0.0808921646], + ["Pt1+", "Si2-", -0.0808921646], + ["Si2-", "Au1-", -0.0991363206], + ["Au1-", "Si2-", -0.0991363206], + ["Si2-", "Au1+", 0.063815668], + ["Au1+", "Si2-", 0.063815668], + ["Si2-", "Hg1+", 0.0708543683], + ["Hg1+", "Si2-", 0.0708543683], + ["Si2-", "Tl1+", 0.113993528], + ["Tl1+", "Si2-", 0.113993528], + ["Si2-", "Bi1+", -0.2088286283], + ["Bi1+", "Si2-", -0.2088286283], + ["Si4-", "Si4-", 1.0], + ["Si4-", "Si3+", -0.14319001], + ["Si3+", "Si4-", -0.14319001], + ["Si4-", "Si3-", 0.0960673805], + ["Si3-", "Si4-", 0.0960673805], + ["Si4-", "P5+", -0.1317664449], + ["P5+", "Si4-", -0.1317664449], + ["Si4-", "P2-", 0.1460765648], + ["P2-", "Si4-", 0.1460765648], + ["Si4-", "P3-", 0.2603813526], + ["P3-", "Si4-", 0.2603813526], + ["Si4-", "P4+", -0.1306026877], + ["P4+", "Si4-", -0.1306026877], + ["Si4-", "P3+", 0.0316594048], + ["P3+", "Si4-", 0.0316594048], + ["Si4-", "P2+", 0.0627590955], + ["P2+", "Si4-", 0.0627590955], + ["Si4-", "S2-", 0.3268356346], + ["S2-", "Si4-", 0.3268356346], + ["Si4-", "S6+", -0.1864414589], + ["S6+", "Si4-", -0.1864414589], + ["Si4-", "S2+", 0.0432617732], + ["S2+", "Si4-", 0.0432617732], + ["Si4-", "S3+", -0.0378938364], + ["S3+", "Si4-", -0.0378938364], + ["Si4-", "S4+", -0.1061057156], + ["S4+", "Si4-", -0.1061057156], + ["Si4-", "S5+", -0.158147263], + ["S5+", "Si4-", -0.158147263], + ["Si4-", "Cl7+", -0.0566821212], + ["Cl7+", "Si4-", -0.0566821212], + ["Si4-", "Cl5+", -0.127400388], + ["Cl5+", "Si4-", -0.127400388], + ["Si4-", "Cl3+", -0.1169461591], + ["Cl3+", "Si4-", -0.1169461591], + ["Si4-", "Ca2+", -0.2160644892], + ["Ca2+", "Si4-", -0.2160644892], + ["Si4-", "Sc3+", 0.0453270628], + ["Sc3+", "Si4-", 0.0453270628], + ["Si4-", "Sc2+", 0.1365317968], + ["Sc2+", "Si4-", 0.1365317968], + ["Si4-", "Ti3+", 0.0794568606], + ["Ti3+", "Si4-", 0.0794568606], + ["Si4-", "Ti4+", 0.137865274], + ["Ti4+", "Si4-", 0.137865274], + ["Si4-", "Ti2+", 0.186617924], + ["Ti2+", "Si4-", 0.186617924], + ["Si4-", "V4+", -0.0911701526], + ["V4+", "Si4-", -0.0911701526], + ["Si4-", "V3+", -0.0863027782], + ["V3+", "Si4-", -0.0863027782], + ["Si4-", "V2+", 0.0715831629], + ["V2+", "Si4-", 0.0715831629], + ["Si4-", "V5+", -0.2414204081], + ["V5+", "Si4-", -0.2414204081], + ["Si4-", "Cr3+", 0.1563460735], + ["Cr3+", "Si4-", 0.1563460735], + ["Si4-", "Cr2+", 0.1827521823], + ["Cr2+", "Si4-", 0.1827521823], + ["Si4-", "Cr6+", -0.0632259874], + ["Cr6+", "Si4-", -0.0632259874], + ["Si4-", "Cr4+", 0.1203832527], + ["Cr4+", "Si4-", 0.1203832527], + ["Si4-", "Cr5+", 0.0534956482], + ["Cr5+", "Si4-", 0.0534956482], + ["Si4-", "Mn2+", 0.1047726596], + ["Mn2+", "Si4-", 0.1047726596], + ["Si4-", "Mn3+", -0.0431992017], + ["Mn3+", "Si4-", -0.0431992017], + ["Si4-", "Mn4+", -0.0158911125], + ["Mn4+", "Si4-", -0.0158911125], + ["Si4-", "Mn7+", -0.0089782926], + ["Mn7+", "Si4-", -0.0089782926], + ["Si4-", "Mn6+", 0.0653190312], + ["Mn6+", "Si4-", 0.0653190312], + ["Si4-", "Mn5+", -0.0133410799], + ["Mn5+", "Si4-", -0.0133410799], + ["Si4-", "Fe2+", 0.0144596772], + ["Fe2+", "Si4-", 0.0144596772], + ["Si4-", "Fe3+", 0.0573123508], + ["Fe3+", "Si4-", 0.0573123508], + ["Si4-", "Fe4+", 0.1549609972], + ["Fe4+", "Si4-", 0.1549609972], + ["Si4-", "Fe6+", 0.0157179394], + ["Fe6+", "Si4-", 0.0157179394], + ["Si4-", "Fe5+", 0.2589565536], + ["Fe5+", "Si4-", 0.2589565536], + ["Si4-", "Co2+", 0.1889388758], + ["Co2+", "Si4-", 0.1889388758], + ["Si4-", "Co4+", 0.0714531376], + ["Co4+", "Si4-", 0.0714531376], + ["Si4-", "Co3+", 0.0384837188], + ["Co3+", "Si4-", 0.0384837188], + ["Si4-", "Ni2+", 0.0586232985], + ["Ni2+", "Si4-", 0.0586232985], + ["Si4-", "Ni4+", 0.0452092246], + ["Ni4+", "Si4-", 0.0452092246], + ["Si4-", "Ni3+", -0.14743854], + ["Ni3+", "Si4-", -0.14743854], + ["Si4-", "Cu2+", -0.1207100774], + ["Cu2+", "Si4-", -0.1207100774], + ["Si4-", "Cu3+", -0.2062231645], + ["Cu3+", "Si4-", -0.2062231645], + ["Si4-", "Zn2+", -0.1123632951], + ["Zn2+", "Si4-", -0.1123632951], + ["Si4-", "Ga3+", -0.1587638343], + ["Ga3+", "Si4-", -0.1587638343], + ["Si4-", "Ga4+", 0.0093831645], + ["Ga4+", "Si4-", 0.0093831645], + ["Si4-", "Ga2+", 0.2143382249], + ["Ga2+", "Si4-", 0.2143382249], + ["Si4-", "Ge4-", 0.5052533679], + ["Ge4-", "Si4-", 0.5052533679], + ["Si4-", "Ge4+", -0.0422661346], + ["Ge4+", "Si4-", -0.0422661346], + ["Si4-", "Ge2-", 0.3717254107], + ["Ge2-", "Si4-", 0.3717254107], + ["Si4-", "Ge2+", 0.2821650486], + ["Ge2+", "Si4-", 0.2821650486], + ["Si4-", "Ge3+", -0.06129086], + ["Ge3+", "Si4-", -0.06129086], + ["Si4-", "As2-", 0.0926310969], + ["As2-", "Si4-", 0.0926310969], + ["Si4-", "As3+", -0.0993698123], + ["As3+", "Si4-", -0.0993698123], + ["Si4-", "As5+", -0.3021466146], + ["As5+", "Si4-", -0.3021466146], + ["Si4-", "As3-", 0.1755646504], + ["As3-", "Si4-", 0.1755646504], + ["Si4-", "As2+", -0.0622444869], + ["As2+", "Si4-", -0.0622444869], + ["Si4-", "As4+", -0.1075908109], + ["As4+", "Si4-", -0.1075908109], + ["Si4-", "Se2-", 0.303484585], + ["Se2-", "Si4-", 0.303484585], + ["Si4-", "Se4+", -0.2050942045], + ["Se4+", "Si4-", -0.2050942045], + ["Si4-", "Se6+", -0.1219706079], + ["Se6+", "Si4-", -0.1219706079], + ["Si4-", "Se5+", -0.1649868395], + ["Se5+", "Si4-", -0.1649868395], + ["Si4-", "Se2+", -0.0904053096], + ["Se2+", "Si4-", -0.0904053096], + ["Si4-", "Se3+", -0.0068050534], + ["Se3+", "Si4-", -0.0068050534], + ["Si4-", "Br2+", -0.0483504972], + ["Br2+", "Si4-", -0.0483504972], + ["Si4-", "Br5+", -0.160175396], + ["Br5+", "Si4-", -0.160175396], + ["Si4-", "Br3+", -0.1113843706], + ["Br3+", "Si4-", -0.1113843706], + ["Si4-", "Sr2+", -0.1071121799], + ["Sr2+", "Si4-", -0.1071121799], + ["Si4-", "Y3+", 0.0517483626], + ["Y3+", "Si4-", 0.0517483626], + ["Si4-", "Y2+", -0.0819931521], + ["Y2+", "Si4-", -0.0819931521], + ["Si4-", "Zr2+", 0.2094417082], + ["Zr2+", "Si4-", 0.2094417082], + ["Si4-", "Zr4+", 0.1191004363], + ["Zr4+", "Si4-", 0.1191004363], + ["Si4-", "Zr3+", 0.1615560593], + ["Zr3+", "Si4-", 0.1615560593], + ["Si4-", "Nb5+", 0.0971434631], + ["Nb5+", "Si4-", 0.0971434631], + ["Si4-", "Nb3+", 0.1723616358], + ["Nb3+", "Si4-", 0.1723616358], + ["Si4-", "Nb4+", 0.0555079687], + ["Nb4+", "Si4-", 0.0555079687], + ["Si4-", "Nb2+", 0.2610828412], + ["Nb2+", "Si4-", 0.2610828412], + ["Si4-", "Nb7+", -0.062446291], + ["Nb7+", "Si4-", -0.062446291], + ["Si4-", "Mo3+", -0.0863589218], + ["Mo3+", "Si4-", -0.0863589218], + ["Si4-", "Mo4+", 0.1469333004], + ["Mo4+", "Si4-", 0.1469333004], + ["Si4-", "Mo6+", -0.222385204], + ["Mo6+", "Si4-", -0.222385204], + ["Si4-", "Mo5+", -0.3512355702], + ["Mo5+", "Si4-", -0.3512355702], + ["Si4-", "Mo2+", 0.1023401505], + ["Mo2+", "Si4-", 0.1023401505], + ["Si4-", "Tc4+", -0.0060057432], + ["Tc4+", "Si4-", -0.0060057432], + ["Si4-", "Tc3-", 0.2804074012], + ["Tc3-", "Si4-", 0.2804074012], + ["Si4-", "Tc3+", -0.0627062456], + ["Tc3+", "Si4-", -0.0627062456], + ["Si4-", "Tc7+", -0.1327183024], + ["Tc7+", "Si4-", -0.1327183024], + ["Si4-", "Tc5+", -0.0869311841], + ["Tc5+", "Si4-", -0.0869311841], + ["Si4-", "Tc6+", -0.0115258959], + ["Tc6+", "Si4-", -0.0115258959], + ["Si4-", "Tc2-", 0.2567105284], + ["Tc2-", "Si4-", 0.2567105284], + ["Si4-", "Tc2+", 0.0675051085], + ["Tc2+", "Si4-", 0.0675051085], + ["Si4-", "Ru2+", 0.1743056389], + ["Ru2+", "Si4-", 0.1743056389], + ["Si4-", "Ru6+", -0.0506374199], + ["Ru6+", "Si4-", -0.0506374199], + ["Si4-", "Ru4+", -0.0454408556], + ["Ru4+", "Si4-", -0.0454408556], + ["Si4-", "Ru5+", 0.0121968815], + ["Ru5+", "Si4-", 0.0121968815], + ["Si4-", "Ru3+", 0.0394690751], + ["Ru3+", "Si4-", 0.0394690751], + ["Si4-", "Rh4+", 0.0914162995], + ["Rh4+", "Si4-", 0.0914162995], + ["Si4-", "Rh3+", 0.1205246023], + ["Rh3+", "Si4-", 0.1205246023], + ["Si4-", "Pd2+", 0.2571139193], + ["Pd2+", "Si4-", 0.2571139193], + ["Si4-", "Pd4+", 0.175773414], + ["Pd4+", "Si4-", 0.175773414], + ["Si4-", "Pd3+", 0.2513464071], + ["Pd3+", "Si4-", 0.2513464071], + ["Si4-", "Ag3+", 0.0149092059], + ["Ag3+", "Si4-", 0.0149092059], + ["Si4-", "Ag2+", -0.0132387997], + ["Ag2+", "Si4-", -0.0132387997], + ["Si4-", "Cd2+", -0.1586842246], + ["Cd2+", "Si4-", -0.1586842246], + ["Si4-", "In3+", -0.1231523309], + ["In3+", "Si4-", -0.1231523309], + ["Si4-", "In2+", 0.0649784873], + ["In2+", "Si4-", 0.0649784873], + ["Si4-", "Sn4+", -0.3038620656], + ["Sn4+", "Si4-", -0.3038620656], + ["Si4-", "Sn3+", -0.260854295], + ["Sn3+", "Si4-", -0.260854295], + ["Si4-", "Sn2+", -0.107966182], + ["Sn2+", "Si4-", -0.107966182], + ["Si4-", "Sb5+", -0.2067546211], + ["Sb5+", "Si4-", -0.2067546211], + ["Si4-", "Sb2-", 0.118793266], + ["Sb2-", "Si4-", 0.118793266], + ["Si4-", "Sb3-", 0.2849422204], + ["Sb3-", "Si4-", 0.2849422204], + ["Si4-", "Sb3+", -0.1791473994], + ["Sb3+", "Si4-", -0.1791473994], + ["Si4-", "Sb4+", -0.1555646648], + ["Sb4+", "Si4-", -0.1555646648], + ["Si4-", "Te2-", 0.3997158968], + ["Te2-", "Si4-", 0.3997158968], + ["Si4-", "Te4+", -0.2919827655], + ["Te4+", "Si4-", -0.2919827655], + ["Si4-", "Te6+", -0.1681231126], + ["Te6+", "Si4-", -0.1681231126], + ["Si4-", "Te2+", -0.1710409824], + ["Te2+", "Si4-", -0.1710409824], + ["Si4-", "Te5+", -0.0700258217], + ["Te5+", "Si4-", -0.0700258217], + ["Si4-", "I3+", -0.1963476729], + ["I3+", "Si4-", -0.1963476729], + ["Si4-", "I7+", -0.084738396], + ["I7+", "Si4-", -0.084738396], + ["Si4-", "I5+", -0.1480522017], + ["I5+", "Si4-", -0.1480522017], + ["Si4-", "I2+", 0.1033779643], + ["I2+", "Si4-", 0.1033779643], + ["Si4-", "Ba2+", -0.075959032], + ["Ba2+", "Si4-", -0.075959032], + ["Si4-", "La3+", -0.1007288929], + ["La3+", "Si4-", -0.1007288929], + ["Si4-", "La2+", 0.0907349045], + ["La2+", "Si4-", 0.0907349045], + ["Si4-", "Ce3+", 0.1320346945], + ["Ce3+", "Si4-", 0.1320346945], + ["Si4-", "Ce2+", 0.167553795], + ["Ce2+", "Si4-", 0.167553795], + ["Si4-", "Ce4+", 0.0410346179], + ["Ce4+", "Si4-", 0.0410346179], + ["Si4-", "Pr3+", -0.0508140173], + ["Pr3+", "Si4-", -0.0508140173], + ["Si4-", "Pr4+", 0.0959392555], + ["Pr4+", "Si4-", 0.0959392555], + ["Si4-", "Pr2+", 0.01611297], + ["Pr2+", "Si4-", 0.01611297], + ["Si4-", "Nd3+", -0.0692521577], + ["Nd3+", "Si4-", -0.0692521577], + ["Si4-", "Nd2+", 0.1251644795], + ["Nd2+", "Si4-", 0.1251644795], + ["Si4-", "Pm3+", 0.0374948979], + ["Pm3+", "Si4-", 0.0374948979], + ["Si4-", "Sm3+", -0.0438726045], + ["Sm3+", "Si4-", -0.0438726045], + ["Si4-", "Sm2+", 0.220469659], + ["Sm2+", "Si4-", 0.220469659], + ["Si4-", "Eu2+", 0.0529317346], + ["Eu2+", "Si4-", 0.0529317346], + ["Si4-", "Eu3+", -0.0209203604], + ["Eu3+", "Si4-", -0.0209203604], + ["Si4-", "Gd2+", -0.0422537577], + ["Gd2+", "Si4-", -0.0422537577], + ["Si4-", "Gd3+", -0.0639031163], + ["Gd3+", "Si4-", -0.0639031163], + ["Si4-", "Tb3+", -0.0077714231], + ["Tb3+", "Si4-", -0.0077714231], + ["Si4-", "Tb2+", 0.1753830995], + ["Tb2+", "Si4-", 0.1753830995], + ["Si4-", "Tb4+", 0.1184602062], + ["Tb4+", "Si4-", 0.1184602062], + ["Si4-", "Dy3+", -0.0389250621], + ["Dy3+", "Si4-", -0.0389250621], + ["Si4-", "Dy2+", 0.1633503861], + ["Dy2+", "Si4-", 0.1633503861], + ["Si4-", "Ho3+", -0.0493646897], + ["Ho3+", "Si4-", -0.0493646897], + ["Si4-", "Ho2+", 0.1543112552], + ["Ho2+", "Si4-", 0.1543112552], + ["Si4-", "Er3+", 0.1120435976], + ["Er3+", "Si4-", 0.1120435976], + 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0.1705919435], + ["Ga1+", "Si4-", 0.1705919435], + ["Si4-", "As1-", 0.1926043502], + ["As1-", "Si4-", 0.1926043502], + ["Si4-", "As1+", 0.0375186562], + ["As1+", "Si4-", 0.0375186562], + ["Si4-", "Se1-", 0.1081561177], + ["Se1-", "Si4-", 0.1081561177], + ["Si4-", "Se1+", 0.0344126284], + ["Se1+", "Si4-", 0.0344126284], + ["Si4-", "Br1-", 0.2559350831], + ["Br1-", "Si4-", 0.2559350831], + ["Si4-", "Br1+", -0.1353587729], + ["Br1+", "Si4-", -0.1353587729], + ["Si4-", "Rb1+", -0.1655176434], + ["Rb1+", "Si4-", -0.1655176434], + ["Si4-", "Y1+", 0.0649515976], + ["Y1+", "Si4-", 0.0649515976], + ["Si4-", "Zr1+", 0.1138003561], + ["Zr1+", "Si4-", 0.1138003561], + ["Si4-", "Nb1+", 0.1958352835], + ["Nb1+", "Si4-", 0.1958352835], + ["Si4-", "Tc1-", 0.1863313083], + ["Tc1-", "Si4-", 0.1863313083], + ["Si4-", "Tc1+", -0.0026111827], + ["Tc1+", "Si4-", -0.0026111827], + ["Si4-", "Rh1+", 0.2581468547], + ["Rh1+", "Si4-", 0.2581468547], + ["Si4-", "Ag1+", 0.0990012269], + ["Ag1+", "Si4-", 0.0990012269], + ["Si4-", "In1+", 0.0206674929], + ["In1+", "Si4-", 0.0206674929], + ["Si4-", "Sb1-", 0.2495769424], + ["Sb1-", "Si4-", 0.2495769424], + ["Si4-", "Sb1+", -0.0030332854], + ["Sb1+", "Si4-", -0.0030332854], + ["Si4-", "Te1-", 0.1812305218], + ["Te1-", "Si4-", 0.1812305218], + ["Si4-", "Te1+", -0.0291854106], + ["Te1+", "Si4-", -0.0291854106], + ["Si4-", "I1-", 0.1494879222], + ["I1-", "Si4-", 0.1494879222], + ["Si4-", "I1+", -0.1065660593], + ["I1+", "Si4-", -0.1065660593], + ["Si4-", "Cs1+", -0.2509561912], + ["Cs1+", "Si4-", -0.2509561912], + ["Si4-", "La1+", 0.1310143412], + ["La1+", "Si4-", 0.1310143412], + ["Si4-", "Tb1+", 0.1445011457], + ["Tb1+", "Si4-", 0.1445011457], + ["Si4-", "Ta1+", 0.1673881362], + ["Ta1+", "Si4-", 0.1673881362], + ["Si4-", "Os1-", 0.1562919586], + ["Os1-", "Si4-", 0.1562919586], + ["Si4-", "Os1+", 0.1974181712], + ["Os1+", "Si4-", 0.1974181712], + ["Si4-", "Pt1-", 0.2863333159], + ["Pt1-", "Si4-", 0.2863333159], + ["Si4-", "Pt1+", 0.0609869101], + ["Pt1+", "Si4-", 0.0609869101], + ["Si4-", "Au1-", -0.0856966905], + ["Au1-", "Si4-", -0.0856966905], + ["Si4-", "Au1+", 0.1096523706], + ["Au1+", "Si4-", 0.1096523706], + ["Si4-", "Hg1+", 0.0434876587], + ["Hg1+", "Si4-", 0.0434876587], + ["Si4-", "Tl1+", -0.0172694812], + ["Tl1+", "Si4-", -0.0172694812], + ["Si4-", "Bi1+", -0.0813551937], + ["Bi1+", "Si4-", -0.0813551937], + ["Si3+", "Si3+", 1.0], + ["Si3+", "Si3-", -0.0511349349], + ["Si3-", "Si3+", -0.0511349349], + ["Si3+", "P5+", 0.1284772678], + ["P5+", "Si3+", 0.1284772678], + ["Si3+", "P2-", 0.0556644152], + ["P2-", "Si3+", 0.0556644152], + ["Si3+", "P3-", 0.0963082986], + ["P3-", "Si3+", 0.0963082986], + ["Si3+", "P4+", 0.2217204428], + ["P4+", "Si3+", 0.2217204428], + ["Si3+", "P3+", 0.1333287443], + ["P3+", "Si3+", 0.1333287443], + ["Si3+", "P2+", 0.0632093915], + ["P2+", "Si3+", 0.0632093915], + ["Si3+", "S2-", -0.2026710903], + ["S2-", "Si3+", -0.2026710903], + ["Si3+", "S6+", 0.120966126], + ["S6+", 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0.1594725484], + ["Si3+", "Au4+", -0.1059716978], + ["Au4+", "Si3+", -0.1059716978], + ["Si3+", "Hg2+", 0.2083607439], + ["Hg2+", "Si3+", 0.2083607439], + ["Si3+", "Tl3+", 0.3104979274], + ["Tl3+", "Si3+", 0.3104979274], + ["Si3+", "Tl2+", 0.1691330513], + ["Tl2+", "Si3+", 0.1691330513], + ["Si3+", "Pb2+", 0.1091110935], + ["Pb2+", "Si3+", 0.1091110935], + ["Si3+", "Pb3+", 0.1383805839], + ["Pb3+", "Si3+", 0.1383805839], + ["Si3+", "Pb4+", 0.2536207338], + ["Pb4+", "Si3+", 0.2536207338], + ["Si3+", "Bi3+", 0.3959161705], + ["Bi3+", "Si3+", 0.3959161705], + ["Si3+", "Bi5+", 0.2300862574], + ["Bi5+", "Si3+", 0.2300862574], + ["Si3+", "Bi2+", 0.1879122966], + ["Bi2+", "Si3+", 0.1879122966], + ["Si3+", "Bi3-", -0.0518125713], + ["Bi3-", "Si3+", -0.0518125713], + ["Si3+", "Bi4+", 0.0900639669], + ["Bi4+", "Si3+", 0.0900639669], + ["Si3+", "Ac3+", 0.0439998855], + ["Ac3+", "Si3+", 0.0439998855], + ["Si3+", "Th4+", 0.1609598845], + ["Th4+", "Si3+", 0.1609598845], + ["Si3+", "Th3+", 0.0968091516], + ["Th3+", "Si3+", 0.0968091516], + ["Si3+", "Pa4+", 0.3259332395], + ["Pa4+", "Si3+", 0.3259332395], + ["Si3+", "Pa5+", 0.1563421333], + ["Pa5+", "Si3+", 0.1563421333], + ["Si3+", "Pa3+", 0.2644949748], + ["Pa3+", "Si3+", 0.2644949748], + ["Si3+", "U6+", 0.2111921432], + ["U6+", "Si3+", 0.2111921432], + ["Si3+", "U4+", 0.0951822747], + ["U4+", "Si3+", 0.0951822747], + ["Si3+", "U3+", 0.0977327241], + ["U3+", "Si3+", 0.0977327241], + ["Si3+", "U2+", 0.1805503976], + ["U2+", "Si3+", 0.1805503976], + ["Si3+", "U5+", 0.3459670172], + ["U5+", "Si3+", 0.3459670172], + ["Si3+", "Np6+", 0.099211195], + ["Np6+", "Si3+", 0.099211195], + ["Si3+", "Np4+", 0.1156032685], + ["Np4+", "Si3+", 0.1156032685], + ["Si3+", "Np3+", 0.2342446366], + ["Np3+", "Si3+", 0.2342446366], + ["Si3+", "Np7+", 0.3365592203], + ["Np7+", "Si3+", 0.3365592203], + ["Si3+", "Np5+", 0.3437267566], + ["Np5+", "Si3+", 0.3437267566], + ["Si3+", "Pu7+", 0.2484690069], + ["Pu7+", "Si3+", 0.2484690069], + ["Si3+", "Pu6+", 0.3163220711], + ["Pu6+", "Si3+", 0.3163220711], + ["Si3+", "Pu3+", 0.2074674365], + ["Pu3+", "Si3+", 0.2074674365], + ["Si3+", "Pu4+", 0.1712635774], + ["Pu4+", "Si3+", 0.1712635774], + ["Si3+", "Pu5+", 0.2768243091], + ["Pu5+", "Si3+", 0.2768243091], + ["Si3+", "H1+", 0.0220001267], + ["H1+", "Si3+", 0.0220001267], + ["Si3+", "H1-", 0.0461479161], + ["H1-", "Si3+", 0.0461479161], + ["Si3+", "Li1+", 0.0645098589], + ["Li1+", "Si3+", 0.0645098589], + ["Si3+", "B1+", 0.2111761304], + ["B1+", "Si3+", 0.2111761304], + ["Si3+", "B1-", 0.0684068509], + ["B1-", "Si3+", 0.0684068509], + ["Si3+", "C1-", 0.0121236206], + ["C1-", "Si3+", 0.0121236206], + ["Si3+", "C1+", -0.1215573735], + ["C1+", "Si3+", -0.1215573735], + ["Si3+", "N1-", -0.0508446119], + ["N1-", "Si3+", -0.0508446119], + ["Si3+", "N1+", 0.0165598941], + ["N1+", "Si3+", 0.0165598941], + ["Si3+", "O1-", -0.0321017563], + ["O1-", "Si3+", -0.0321017563], + ["Si3+", "F1-", -0.1078970674], + ["F1-", "Si3+", -0.1078970674], + ["Si3+", "Na1+", 0.4433333532], + ["Na1+", "Si3+", 0.4433333532], + ["Si3+", "Si1-", -0.0648107338], + ["Si1-", "Si3+", -0.0648107338], + ["Si3+", "P1+", -0.088196169], + ["P1+", "Si3+", -0.088196169], + ["Si3+", "P1-", 0.0180341952], + ["P1-", "Si3+", 0.0180341952], + ["Si3+", "S1-", -0.1646837878], + ["S1-", "Si3+", -0.1646837878], + ["Si3+", "S1+", -0.0058888972], + ["S1+", "Si3+", -0.0058888972], + ["Si3+", "Cl1-", 0.0417224527], + ["Cl1-", "Si3+", 0.0417224527], + ["Si3+", "K1+", 0.2282319978], + ["K1+", "Si3+", 0.2282319978], + ["Si3+", "Sc1+", 0.2001556555], + ["Sc1+", "Si3+", 0.2001556555], + ["Si3+", "Mn1+", 0.1724147095], + ["Mn1+", "Si3+", 0.1724147095], + ["Si3+", "Fe1+", 0.1561505627], + ["Fe1+", "Si3+", 0.1561505627], + ["Si3+", "Co1+", 0.2290006353], + ["Co1+", "Si3+", 0.2290006353], + ["Si3+", "Ni1+", 0.2456109272], + ["Ni1+", "Si3+", 0.2456109272], + ["Si3+", "Cu1+", 0.2827918406], + ["Cu1+", "Si3+", 0.2827918406], + ["Si3+", "Ga1+", -0.0098287968], + ["Ga1+", "Si3+", -0.0098287968], + ["Si3+", "As1-", 0.1077340956], + ["As1-", "Si3+", 0.1077340956], + ["Si3+", "As1+", 0.2539480221], + ["As1+", "Si3+", 0.2539480221], + ["Si3+", "Se1-", -0.0097493568], + ["Se1-", "Si3+", -0.0097493568], + ["Si3+", "Se1+", 0.1153034857], + ["Se1+", "Si3+", 0.1153034857], + ["Si3+", "Br1-", -0.0312372462], + ["Br1-", "Si3+", -0.0312372462], + ["Si3+", "Br1+", -0.1041629347], + ["Br1+", "Si3+", -0.1041629347], + ["Si3+", "Rb1+", 0.146180144], + ["Rb1+", "Si3+", 0.146180144], + ["Si3+", "Y1+", 0.151113293], + ["Y1+", "Si3+", 0.151113293], + ["Si3+", "Zr1+", 0.1056040222], + ["Zr1+", "Si3+", 0.1056040222], + ["Si3+", "Nb1+", 0.2128883775], + ["Nb1+", "Si3+", 0.2128883775], + ["Si3+", "Tc1-", 0.1097557499], + ["Tc1-", "Si3+", 0.1097557499], + ["Si3+", "Tc1+", 0.0530695733], + ["Tc1+", "Si3+", 0.0530695733], + ["Si3+", "Rh1+", 0.1752704239], + ["Rh1+", "Si3+", 0.1752704239], + ["Si3+", "Ag1+", 0.276489751], + ["Ag1+", "Si3+", 0.276489751], + ["Si3+", "In1+", 0.1162017307], + ["In1+", "Si3+", 0.1162017307], + ["Si3+", "Sb1-", -0.1541221124], + ["Sb1-", "Si3+", -0.1541221124], + ["Si3+", "Sb1+", 0.0004291724], + ["Sb1+", "Si3+", 0.0004291724], + ["Si3+", "Te1-", 0.0816159419], + ["Te1-", "Si3+", 0.0816159419], + ["Si3+", "Te1+", 0.0590810421], + ["Te1+", "Si3+", 0.0590810421], + ["Si3+", "I1-", 0.1551944647], + ["I1-", "Si3+", 0.1551944647], + ["Si3+", "I1+", -0.149006776], + ["I1+", "Si3+", -0.149006776], + ["Si3+", "Cs1+", 0.2407267326], + ["Cs1+", "Si3+", 0.2407267326], + ["Si3+", "La1+", 0.147053059], + ["La1+", "Si3+", 0.147053059], + ["Si3+", "Tb1+", 0.0279693448], + ["Tb1+", "Si3+", 0.0279693448], + ["Si3+", "Ta1+", 0.2344725074], + ["Ta1+", "Si3+", 0.2344725074], + ["Si3+", "Os1-", 0.1014072389], + ["Os1-", "Si3+", 0.1014072389], + ["Si3+", "Os1+", -0.1287063388], + ["Os1+", "Si3+", -0.1287063388], + ["Si3+", "Pt1-", 0.0401949416], + ["Pt1-", "Si3+", 0.0401949416], + ["Si3+", "Pt1+", 0.2285014023], + ["Pt1+", "Si3+", 0.2285014023], + ["Si3+", "Au1-", -0.2546670848], + ["Au1-", "Si3+", -0.2546670848], + ["Si3+", "Au1+", -0.0722573637], + ["Au1+", "Si3+", -0.0722573637], + ["Si3+", "Hg1+", 0.1082561039], + ["Hg1+", "Si3+", 0.1082561039], + ["Si3+", "Tl1+", 0.1397922606], + ["Tl1+", "Si3+", 0.1397922606], + ["Si3+", "Bi1+", 0.3818612721], + ["Bi1+", "Si3+", 0.3818612721], + ["Si3-", "Si3-", 1.0], + ["Si3-", "P5+", 0.0825723043], + ["P5+", "Si3-", 0.0825723043], + ["Si3-", "P2-", 0.3081969209], + ["P2-", "Si3-", 0.3081969209], + ["Si3-", "P3-", 0.0516782837], + ["P3-", "Si3-", 0.0516782837], + ["Si3-", "P4+", 0.0058401415], + ["P4+", "Si3-", 0.0058401415], + ["Si3-", "P3+", -0.0951176356], + ["P3+", "Si3-", -0.0951176356], + ["Si3-", "P2+", -0.0129429502], + ["P2+", "Si3-", -0.0129429502], + ["Si3-", "S2-", 0.3963872553], + ["S2-", "Si3-", 0.3963872553], + ["Si3-", "S6+", -0.0001383576], + ["S6+", "Si3-", -0.0001383576], + ["Si3-", "S2+", 0.2089323961], + ["S2+", "Si3-", 0.2089323961], + ["Si3-", "S3+", 0.0739079528], + ["S3+", "Si3-", 0.0739079528], + ["Si3-", "S4+", 0.1267150323], + ["S4+", "Si3-", 0.1267150323], + ["Si3-", "S5+", -0.018527448], + ["S5+", "Si3-", -0.018527448], + ["Si3-", "Cl7+", 0.0537727836], + ["Cl7+", "Si3-", 0.0537727836], + ["Si3-", "Cl5+", -0.0344575702], + ["Cl5+", "Si3-", -0.0344575702], + ["Si3-", "Cl3+", -0.105959317], + ["Cl3+", "Si3-", -0.105959317], + ["Si3-", "Ca2+", 0.040516361], + ["Ca2+", "Si3-", 0.040516361], + ["Si3-", "Sc3+", 0.0381658207], + ["Sc3+", "Si3-", 0.0381658207], + ["Si3-", "Sc2+", 0.1429802331], + ["Sc2+", "Si3-", 0.1429802331], + ["Si3-", "Ti3+", -0.0035381889], + ["Ti3+", "Si3-", -0.0035381889], + ["Si3-", "Ti4+", -0.017148775], + ["Ti4+", "Si3-", -0.017148775], + ["Si3-", "Ti2+", 0.0614406985], + ["Ti2+", "Si3-", 0.0614406985], + ["Si3-", "V4+", -0.1014940988], + ["V4+", "Si3-", -0.1014940988], + ["Si3-", "V3+", -0.1525265891], + ["V3+", "Si3-", -0.1525265891], + ["Si3-", "V2+", -0.1378732028], + ["V2+", "Si3-", -0.1378732028], + ["Si3-", "V5+", -0.0241753778], + ["V5+", "Si3-", -0.0241753778], + ["Si3-", "Cr3+", -0.0170859256], + ["Cr3+", "Si3-", -0.0170859256], + ["Si3-", "Cr2+", 0.028710124], + ["Cr2+", "Si3-", 0.028710124], + ["Si3-", "Cr6+", 0.0839211045], + ["Cr6+", "Si3-", 0.0839211045], + ["Si3-", "Cr4+", -0.0637377365], + ["Cr4+", "Si3-", -0.0637377365], + ["Si3-", "Cr5+", 0.0464042114], + ["Cr5+", "Si3-", 0.0464042114], + ["Si3-", "Mn2+", 0.0637174398], + ["Mn2+", "Si3-", 0.0637174398], + ["Si3-", "Mn3+", -0.1444287955], + ["Mn3+", "Si3-", -0.1444287955], + ["Si3-", "Mn4+", -0.1196323731], + ["Mn4+", "Si3-", -0.1196323731], + ["Si3-", "Mn7+", 0.085779149], + ["Mn7+", "Si3-", 0.085779149], + ["Si3-", "Mn6+", 0.0544329895], + ["Mn6+", "Si3-", 0.0544329895], + ["Si3-", "Mn5+", 0.0264272848], + ["Mn5+", "Si3-", 0.0264272848], + ["Si3-", "Fe2+", -0.0017776835], + ["Fe2+", "Si3-", -0.0017776835], + ["Si3-", "Fe3+", 0.0986743853], + ["Fe3+", "Si3-", 0.0986743853], + ["Si3-", "Fe4+", -0.1634819389], + ["Fe4+", "Si3-", -0.1634819389], + ["Si3-", "Fe6+", 0.107576693], + ["Fe6+", "Si3-", 0.107576693], + ["Si3-", "Fe5+", 0.0195375076], + ["Fe5+", "Si3-", 0.0195375076], + ["Si3-", "Co2+", -0.111506473], + ["Co2+", "Si3-", -0.111506473], + ["Si3-", "Co4+", 0.0247831442], + ["Co4+", "Si3-", 0.0247831442], + ["Si3-", "Co3+", 0.1305823607], + ["Co3+", "Si3-", 0.1305823607], + ["Si3-", "Ni2+", -0.020752307], + ["Ni2+", "Si3-", -0.020752307], + ["Si3-", "Ni4+", -0.1330272754], + ["Ni4+", "Si3-", -0.1330272754], + ["Si3-", "Ni3+", -0.1666888547], + ["Ni3+", "Si3-", -0.1666888547], + ["Si3-", "Cu2+", -0.2102161785], + ["Cu2+", "Si3-", -0.2102161785], + ["Si3-", "Cu3+", -0.0844110599], + ["Cu3+", "Si3-", -0.0844110599], + ["Si3-", "Zn2+", 0.0081845773], + ["Zn2+", "Si3-", 0.0081845773], + ["Si3-", "Ga3+", 0.067826137], + ["Ga3+", "Si3-", 0.067826137], + ["Si3-", "Ga4+", -0.0249537838], + ["Ga4+", "Si3-", -0.0249537838], + ["Si3-", "Ga2+", 0.0723619545], + ["Ga2+", "Si3-", 0.0723619545], + ["Si3-", "Ge4-", 0.2788807116], + ["Ge4-", "Si3-", 0.2788807116], + ["Si3-", "Ge4+", 0.0869445362], + ["Ge4+", "Si3-", 0.0869445362], + ["Si3-", "Ge2-", 0.3291374315], + ["Ge2-", "Si3-", 0.3291374315], + ["Si3-", "Ge2+", -0.0489105795], + ["Ge2+", "Si3-", -0.0489105795], + ["Si3-", "Ge3+", 0.0770540528], + ["Ge3+", "Si3-", 0.0770540528], + ["Si3-", "As2-", 0.3524664013], + ["As2-", "Si3-", 0.3524664013], + ["Si3-", "As3+", 0.0426297259], + ["As3+", "Si3-", 0.0426297259], + ["Si3-", "As5+", -0.1373133842], + ["As5+", "Si3-", -0.1373133842], + ["Si3-", "As3-", 0.0970022363], + ["As3-", "Si3-", 0.0970022363], + ["Si3-", "As2+", -0.0034121825], + ["As2+", "Si3-", -0.0034121825], + ["Si3-", "As4+", 0.0395407334], + ["As4+", "Si3-", 0.0395407334], + ["Si3-", "Se2-", 0.3454437255], + ["Se2-", "Si3-", 0.3454437255], + ["Si3-", "Se4+", -0.038092073], + ["Se4+", "Si3-", -0.038092073], + ["Si3-", "Se6+", 0.0799463349], + ["Se6+", "Si3-", 0.0799463349], + ["Si3-", "Se5+", 0.1815508065], + ["Se5+", "Si3-", 0.1815508065], + ["Si3-", "Se2+", 0.1732887212], + ["Se2+", "Si3-", 0.1732887212], + ["Si3-", "Se3+", -0.0193080002], + ["Se3+", "Si3-", -0.0193080002], + ["Si3-", "Br2+", -0.0145076733], + ["Br2+", "Si3-", -0.0145076733], + ["Si3-", "Br5+", -0.2225693055], + ["Br5+", "Si3-", -0.2225693055], + ["Si3-", "Br3+", 0.0473704678], + ["Br3+", "Si3-", 0.0473704678], + ["Si3-", "Sr2+", 0.0820895516], + ["Sr2+", "Si3-", 0.0820895516], + ["Si3-", "Y3+", 0.0915364067], + ["Y3+", "Si3-", 0.0915364067], + ["Si3-", "Y2+", -0.0501410468], + ["Y2+", "Si3-", -0.0501410468], + ["Si3-", "Zr2+", -0.058089053], + ["Zr2+", "Si3-", -0.058089053], + ["Si3-", "Zr4+", 0.0255864178], + ["Zr4+", "Si3-", 0.0255864178], + ["Si3-", "Zr3+", 0.0730638282], + ["Zr3+", "Si3-", 0.0730638282], + ["Si3-", "Nb5+", 0.0602595798], + ["Nb5+", "Si3-", 0.0602595798], + ["Si3-", "Nb3+", -0.0041220633], + ["Nb3+", "Si3-", -0.0041220633], + ["Si3-", "Nb4+", 0.0320799597], + ["Nb4+", "Si3-", 0.0320799597], + ["Si3-", "Nb2+", 0.1122979917], + ["Nb2+", "Si3-", 0.1122979917], + ["Si3-", "Nb7+", -0.0443584235], + ["Nb7+", "Si3-", -0.0443584235], + ["Si3-", "Mo3+", 0.1541576343], + ["Mo3+", "Si3-", 0.1541576343], + ["Si3-", "Mo4+", 0.0583372714], + ["Mo4+", "Si3-", 0.0583372714], + ["Si3-", "Mo6+", -0.1373971848], + ["Mo6+", "Si3-", -0.1373971848], + ["Si3-", "Mo5+", -0.176380641], + ["Mo5+", "Si3-", -0.176380641], + ["Si3-", "Mo2+", 0.0209233087], + ["Mo2+", "Si3-", 0.0209233087], + ["Si3-", "Tc4+", 0.0666563049], + ["Tc4+", "Si3-", 0.0666563049], + ["Si3-", "Tc3-", 0.1464702971], + ["Tc3-", "Si3-", 0.1464702971], + ["Si3-", "Tc3+", 0.2012597068], + ["Tc3+", "Si3-", 0.2012597068], + ["Si3-", "Tc7+", 0.1893832704], + ["Tc7+", "Si3-", 0.1893832704], + ["Si3-", "Tc5+", 0.0042644202], + ["Tc5+", "Si3-", 0.0042644202], + ["Si3-", "Tc6+", 0.035262426], + ["Tc6+", "Si3-", 0.035262426], + ["Si3-", "Tc2-", 0.1344014591], + ["Tc2-", "Si3-", 0.1344014591], + ["Si3-", "Tc2+", 0.1872654038], + ["Tc2+", "Si3-", 0.1872654038], + ["Si3-", "Ru2+", 0.0965296402], + ["Ru2+", "Si3-", 0.0965296402], + ["Si3-", "Ru6+", 0.1246154173], + ["Ru6+", "Si3-", 0.1246154173], + ["Si3-", "Ru4+", -0.0352300809], + ["Ru4+", "Si3-", -0.0352300809], + ["Si3-", "Ru5+", 0.1616635726], + ["Ru5+", "Si3-", 0.1616635726], + ["Si3-", "Ru3+", -0.1272711281], + ["Ru3+", "Si3-", -0.1272711281], + ["Si3-", "Rh4+", -0.003127961], + ["Rh4+", "Si3-", -0.003127961], + ["Si3-", "Rh3+", 0.1728736111], + ["Rh3+", "Si3-", 0.1728736111], + ["Si3-", "Pd2+", 0.0269985235], + ["Pd2+", "Si3-", 0.0269985235], + ["Si3-", "Pd4+", 0.0745277904], + ["Pd4+", "Si3-", 0.0745277904], + ["Si3-", "Pd3+", 0.0761425279], + ["Pd3+", "Si3-", 0.0761425279], + ["Si3-", "Ag3+", -0.090076448], + ["Ag3+", "Si3-", -0.090076448], + ["Si3-", "Ag2+", -0.0574885307], + ["Ag2+", "Si3-", -0.0574885307], + ["Si3-", "Cd2+", 0.1156949193], + ["Cd2+", "Si3-", 0.1156949193], + ["Si3-", "In3+", 0.1171077635], + ["In3+", "Si3-", 0.1171077635], + ["Si3-", "In2+", 0.147808785], + ["In2+", "Si3-", 0.147808785], + ["Si3-", "Sn4+", 0.0581585761], + ["Sn4+", "Si3-", 0.0581585761], + ["Si3-", "Sn3+", 0.0728544018], + ["Sn3+", "Si3-", 0.0728544018], + ["Si3-", "Sn2+", 0.2100020798], + ["Sn2+", "Si3-", 0.2100020798], + ["Si3-", "Sb5+", -0.0385768483], + ["Sb5+", "Si3-", -0.0385768483], + ["Si3-", "Sb2-", 0.3485011005], + ["Sb2-", "Si3-", 0.3485011005], + ["Si3-", "Sb3-", 0.2872179798], + ["Sb3-", "Si3-", 0.2872179798], + ["Si3-", "Sb3+", 0.0619858883], + ["Sb3+", "Si3-", 0.0619858883], + ["Si3-", "Sb4+", -0.0242547446], + ["Sb4+", "Si3-", -0.0242547446], + ["Si3-", "Te2-", 0.250885914], + ["Te2-", "Si3-", 0.250885914], + ["Si3-", "Te4+", 0.0677653764], + ["Te4+", "Si3-", 0.0677653764], + ["Si3-", "Te6+", -0.0580663663], + ["Te6+", "Si3-", -0.0580663663], + ["Si3-", "Te2+", 0.049719759], + ["Te2+", "Si3-", 0.049719759], + ["Si3-", "Te5+", 0.0537137272], + ["Te5+", "Si3-", 0.0537137272], + ["Si3-", "I3+", -0.0673021922], + ["I3+", "Si3-", -0.0673021922], + ["Si3-", "I7+", 0.0048464731], + ["I7+", "Si3-", 0.0048464731], + ["Si3-", "I5+", -0.0304201546], + ["I5+", "Si3-", -0.0304201546], + ["Si3-", "I2+", 0.2498925079], + ["I2+", "Si3-", 0.2498925079], + ["Si3-", "Ba2+", 0.1055185035], + ["Ba2+", "Si3-", 0.1055185035], + ["Si3-", "La3+", 0.300426709], + ["La3+", "Si3-", 0.300426709], + ["Si3-", "La2+", 0.2168501949], + ["La2+", "Si3-", 0.2168501949], + ["Si3-", "Ce3+", 0.4619556938], + ["Ce3+", "Si3-", 0.4619556938], + ["Si3-", "Ce2+", 0.1126492312], + ["Ce2+", "Si3-", 0.1126492312], + ["Si3-", "Ce4+", 0.1808292691], + ["Ce4+", "Si3-", 0.1808292691], + ["Si3-", "Pr3+", 0.1388640542], + ["Pr3+", "Si3-", 0.1388640542], + ["Si3-", "Pr4+", 0.0000790985], + ["Pr4+", "Si3-", 0.0000790985], + ["Si3-", "Pr2+", -0.026293825], + ["Pr2+", "Si3-", -0.026293825], + ["Si3-", "Nd3+", 0.0104128069], + ["Nd3+", "Si3-", 0.0104128069], + ["Si3-", "Nd2+", 0.0379834542], + ["Nd2+", "Si3-", 0.0379834542], + ["Si3-", "Pm3+", 0.1331613459], + ["Pm3+", "Si3-", 0.1331613459], + ["Si3-", "Sm3+", 0.0314868906], + ["Sm3+", "Si3-", 0.0314868906], + ["Si3-", "Sm2+", 0.1277432676], + ["Sm2+", "Si3-", 0.1277432676], + ["Si3-", "Eu2+", 0.1763897173], + ["Eu2+", "Si3-", 0.1763897173], + ["Si3-", "Eu3+", 0.0239338453], + ["Eu3+", "Si3-", 0.0239338453], + ["Si3-", "Gd2+", -0.0263084437], + ["Gd2+", "Si3-", -0.0263084437], + ["Si3-", "Gd3+", -0.0793540609], + ["Gd3+", "Si3-", -0.0793540609], + ["Si3-", "Tb3+", -0.0479206144], + ["Tb3+", "Si3-", -0.0479206144], + ["Si3-", "Tb2+", 0.016657813], + ["Tb2+", "Si3-", 0.016657813], + ["Si3-", "Tb4+", -0.0705910991], + ["Tb4+", "Si3-", -0.0705910991], + ["Si3-", "Dy3+", 0.0263938717], + ["Dy3+", "Si3-", 0.0263938717], + ["Si3-", "Dy2+", 0.0359009289], + ["Dy2+", "Si3-", 0.0359009289], + ["Si3-", "Ho3+", -0.055575841], + ["Ho3+", "Si3-", -0.055575841], + ["Si3-", "Ho2+", 0.0603464872], + ["Ho2+", "Si3-", 0.0603464872], + ["Si3-", "Er3+", 0.0419920815], + ["Er3+", "Si3-", 0.0419920815], + ["Si3-", "Tm3+", 0.0898642839], + ["Tm3+", "Si3-", 0.0898642839], + ["Si3-", "Tm2+", 0.0875101154], + ["Tm2+", "Si3-", 0.0875101154], + ["Si3-", "Yb3+", 0.1292404114], + ["Yb3+", "Si3-", 0.1292404114], + ["Si3-", "Yb2+", 0.1250360094], + ["Yb2+", "Si3-", 0.1250360094], + ["Si3-", "Lu3+", -0.0956839657], + ["Lu3+", "Si3-", -0.0956839657], + ["Si3-", "Hf3+", -0.0286562571], + ["Hf3+", "Si3-", -0.0286562571], + ["Si3-", "Hf2+", -0.0310254271], + ["Hf2+", "Si3-", -0.0310254271], + ["Si3-", "Hf4+", 0.1371589791], + ["Hf4+", "Si3-", 0.1371589791], + ["Si3-", "Ta5+", 0.0971177496], + ["Ta5+", "Si3-", 0.0971177496], + ["Si3-", "Ta3+", 0.0251186103], + ["Ta3+", "Si3-", 0.0251186103], + ["Si3-", "Ta4+", 0.153050363], + ["Ta4+", "Si3-", 0.153050363], + ["Si3-", "Ta2+", -0.0438526936], + ["Ta2+", "Si3-", -0.0438526936], + ["Si3-", "W6+", -0.0502662738], + ["W6+", "Si3-", -0.0502662738], + ["Si3-", "W4+", 0.0240687088], + ["W4+", "Si3-", 0.0240687088], + ["Si3-", "W2+", -0.0330681756], + ["W2+", "Si3-", -0.0330681756], + ["Si3-", "W3+", 0.0306740439], + ["W3+", "Si3-", 0.0306740439], + ["Si3-", "W5+", 0.0079610904], + ["W5+", "Si3-", 0.0079610904], + ["Si3-", "Re5+", 0.0369710797], + ["Re5+", "Si3-", 0.0369710797], + ["Si3-", "Re3+", 0.0844554714], + ["Re3+", "Si3-", 0.0844554714], + ["Si3-", "Re6+", 0.0345689825], + ["Re6+", "Si3-", 0.0345689825], + ["Si3-", "Re2+", -0.1088528927], + ["Re2+", "Si3-", -0.1088528927], + ["Si3-", "Re4+", -0.0794244165], + ["Re4+", "Si3-", -0.0794244165], + ["Si3-", "Re7+", -0.1506369696], + ["Re7+", "Si3-", -0.1506369696], + ["Si3-", "Os7+", 0.0527523934], + ["Os7+", "Si3-", 0.0527523934], + ["Si3-", "Os6+", 0.0636664678], + ["Os6+", "Si3-", 0.0636664678], + ["Si3-", "Os5+", -0.0531618287], + ["Os5+", "Si3-", -0.0531618287], + ["Si3-", "Os2-", 0.1529318614], + ["Os2-", "Si3-", 0.1529318614], + ["Si3-", "Os3+", 0.1023842205], + ["Os3+", "Si3-", 0.1023842205], + ["Si3-", "Os4+", 0.0754027415], + ["Os4+", "Si3-", 0.0754027415], + ["Si3-", "Os8+", 0.0636256935], + ["Os8+", "Si3-", 0.0636256935], + ["Si3-", "Os2+", -0.1245619447], + ["Os2+", "Si3-", -0.1245619447], + ["Si3-", "Ir3+", 0.1729217995], + ["Ir3+", "Si3-", 0.1729217995], + ["Si3-", "Ir4+", 0.1400642462], + ["Ir4+", "Si3-", 0.1400642462], + ["Si3-", "Ir5+", -0.0251916256], + ["Ir5+", "Si3-", -0.0251916256], + ["Si3-", "Ir6+", 0.1466684913], + ["Ir6+", "Si3-", 0.1466684913], + ["Si3-", "Pt2+", 0.121854584], + ["Pt2+", "Si3-", 0.121854584], + ["Si3-", "Pt2-", 0.2353170427], + ["Pt2-", "Si3-", 0.2353170427], + ["Si3-", "Pt4+", 0.1137487473], + ["Pt4+", "Si3-", 0.1137487473], + ["Si3-", "Pt3+", -0.0067729853], + ["Pt3+", "Si3-", -0.0067729853], + ["Si3-", "Pt5+", 0.2819585024], + ["Pt5+", "Si3-", 0.2819585024], + ["Si3-", "Pt6+", 0.2185971093], + ["Pt6+", "Si3-", 0.2185971093], + ["Si3-", "Au2+", 0.0956126436], + ["Au2+", "Si3-", 0.0956126436], + ["Si3-", "Au3+", -0.048166538], + ["Au3+", "Si3-", -0.048166538], + ["Si3-", "Au5+", -0.1802058867], + ["Au5+", "Si3-", -0.1802058867], + ["Si3-", "Au4+", 0.0191011718], + ["Au4+", "Si3-", 0.0191011718], + ["Si3-", "Hg2+", 0.1174895207], + ["Hg2+", "Si3-", 0.1174895207], + ["Si3-", "Tl3+", 0.1074092986], + ["Tl3+", "Si3-", 0.1074092986], + ["Si3-", "Tl2+", -0.1133294691], + ["Tl2+", "Si3-", -0.1133294691], + ["Si3-", "Pb2+", 0.0999518439], + ["Pb2+", "Si3-", 0.0999518439], + ["Si3-", "Pb3+", -0.0410404488], + ["Pb3+", "Si3-", -0.0410404488], + ["Si3-", "Pb4+", 0.1090038674], + ["Pb4+", "Si3-", 0.1090038674], + ["Si3-", "Bi3+", 0.1521647957], + ["Bi3+", "Si3-", 0.1521647957], + ["Si3-", "Bi5+", -0.0627655814], + ["Bi5+", "Si3-", -0.0627655814], + ["Si3-", "Bi2+", 0.0990786441], + ["Bi2+", "Si3-", 0.0990786441], + ["Si3-", "Bi3-", 0.2962966107], + ["Bi3-", "Si3-", 0.2962966107], + ["Si3-", "Bi4+", -0.0009808056], + ["Bi4+", "Si3-", -0.0009808056], + ["Si3-", "Ac3+", 0.1566945304], + ["Ac3+", "Si3-", 0.1566945304], + ["Si3-", "Th4+", 0.1225700954], + ["Th4+", "Si3-", 0.1225700954], + ["Si3-", "Th3+", 0.0964757914], + ["Th3+", "Si3-", 0.0964757914], + ["Si3-", "Pa4+", -0.0325846024], + ["Pa4+", "Si3-", -0.0325846024], + ["Si3-", "Pa5+", 0.0327041416], + ["Pa5+", "Si3-", 0.0327041416], + ["Si3-", "Pa3+", 0.0960608816], + ["Pa3+", "Si3-", 0.0960608816], + ["Si3-", "U6+", -0.0391949161], + ["U6+", "Si3-", -0.0391949161], + ["Si3-", "U4+", 0.1273939859], + ["U4+", "Si3-", 0.1273939859], + ["Si3-", "U3+", 0.0987772963], + ["U3+", "Si3-", 0.0987772963], + ["Si3-", "U2+", 0.096979939], + ["U2+", "Si3-", 0.096979939], + ["Si3-", "U5+", -0.0522727144], + ["U5+", "Si3-", -0.0522727144], + ["Si3-", "Np6+", 0.0234417576], + ["Np6+", "Si3-", 0.0234417576], + ["Si3-", "Np4+", -0.0838589517], + ["Np4+", "Si3-", -0.0838589517], + ["Si3-", "Np3+", 0.1677695956], + ["Np3+", "Si3-", 0.1677695956], + ["Si3-", "Np7+", 0.0652163753], + ["Np7+", "Si3-", 0.0652163753], + ["Si3-", "Np5+", 0.0188757654], + ["Np5+", "Si3-", 0.0188757654], + ["Si3-", "Pu7+", 0.0005246759], + ["Pu7+", "Si3-", 0.0005246759], + ["Si3-", "Pu6+", 0.0072825052], + ["Pu6+", "Si3-", 0.0072825052], + ["Si3-", "Pu3+", 0.0733352699], + ["Pu3+", "Si3-", 0.0733352699], + ["Si3-", "Pu4+", -0.0503430899], + ["Pu4+", "Si3-", -0.0503430899], + ["Si3-", "Pu5+", -0.1218539622], + ["Pu5+", "Si3-", -0.1218539622], + ["Si3-", "H1+", 0.0231720543], + ["H1+", "Si3-", 0.0231720543], + ["Si3-", "H1-", 0.1266189174], + ["H1-", "Si3-", 0.1266189174], + ["Si3-", "Li1+", 0.1290984365], + ["Li1+", "Si3-", 0.1290984365], + ["Si3-", "B1+", 0.0171089901], + ["B1+", "Si3-", 0.0171089901], + ["Si3-", "B1-", 0.1216943993], + ["B1-", "Si3-", 0.1216943993], + ["Si3-", "C1-", 0.1639386221], + ["C1-", "Si3-", 0.1639386221], + ["Si3-", "C1+", 0.1713380751], + ["C1+", "Si3-", 0.1713380751], + ["Si3-", "N1-", 0.3980486973], + ["N1-", "Si3-", 0.3980486973], + ["Si3-", "N1+", 0.1027585597], + ["N1+", "Si3-", 0.1027585597], + ["Si3-", "O1-", -0.1129769478], + ["O1-", "Si3-", -0.1129769478], + ["Si3-", "F1-", 0.1981619661], + ["F1-", "Si3-", 0.1981619661], + ["Si3-", "Na1+", 0.0705063273], + ["Na1+", "Si3-", 0.0705063273], + ["Si3-", "Si1-", -0.1237777492], + ["Si1-", "Si3-", -0.1237777492], + ["Si3-", "P1+", -0.0578908289], + ["P1+", "Si3-", -0.0578908289], + ["Si3-", "P1-", 0.1857656315], + ["P1-", "Si3-", 0.1857656315], + ["Si3-", "S1-", 0.237947562], + ["S1-", "Si3-", 0.237947562], + ["Si3-", "S1+", 0.0865978876], + ["S1+", "Si3-", 0.0865978876], + ["Si3-", "Cl1-", 0.1996829716], + ["Cl1-", "Si3-", 0.1996829716], + ["Si3-", "K1+", 0.0821702643], + ["K1+", "Si3-", 0.0821702643], + ["Si3-", "Sc1+", 0.0002279138], + ["Sc1+", "Si3-", 0.0002279138], + ["Si3-", "Mn1+", 0.0899268711], + ["Mn1+", "Si3-", 0.0899268711], + ["Si3-", "Fe1+", -0.1513776606], + ["Fe1+", "Si3-", -0.1513776606], + ["Si3-", "Co1+", -0.2132230494], + ["Co1+", "Si3-", -0.2132230494], + ["Si3-", "Ni1+", -0.0976823218], + ["Ni1+", "Si3-", -0.0976823218], + ["Si3-", "Cu1+", 0.0059328519], + ["Cu1+", "Si3-", 0.0059328519], + ["Si3-", "Ga1+", 0.1539166412], + ["Ga1+", "Si3-", 0.1539166412], + ["Si3-", "As1-", 0.3449299709], + ["As1-", "Si3-", 0.3449299709], + ["Si3-", "As1+", 0.2379394181], + ["As1+", "Si3-", 0.2379394181], + ["Si3-", "Se1-", 0.2673749521], + ["Se1-", "Si3-", 0.2673749521], + ["Si3-", "Se1+", 0.0947638537], + ["Se1+", "Si3-", 0.0947638537], + ["Si3-", "Br1-", 0.3329990595], + ["Br1-", "Si3-", 0.3329990595], + ["Si3-", "Br1+", -0.0088776914], + ["Br1+", "Si3-", -0.0088776914], + ["Si3-", "Rb1+", 0.096461187], + ["Rb1+", "Si3-", 0.096461187], + ["Si3-", "Y1+", -0.0196003237], + ["Y1+", "Si3-", -0.0196003237], + ["Si3-", "Zr1+", -0.0788581036], + ["Zr1+", "Si3-", -0.0788581036], + ["Si3-", "Nb1+", 0.0301981278], + ["Nb1+", "Si3-", 0.0301981278], + ["Si3-", "Tc1-", 0.2695956478], + ["Tc1-", "Si3-", 0.2695956478], + ["Si3-", "Tc1+", 0.0713609673], + ["Tc1+", "Si3-", 0.0713609673], + ["Si3-", "Rh1+", 0.1222411001], + ["Rh1+", "Si3-", 0.1222411001], + ["Si3-", "Ag1+", 0.2341962998], + ["Ag1+", "Si3-", 0.2341962998], + ["Si3-", 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["Nb4+", "P2-", 0.0244160177], + ["P2-", "Nb2+", -0.0202740528], + ["Nb2+", "P2-", -0.0202740528], + ["P2-", "Nb7+", 0.0138610581], + ["Nb7+", "P2-", 0.0138610581], + ["P2-", "Mo3+", -0.1786575564], + ["Mo3+", "P2-", -0.1786575564], + ["P2-", "Mo4+", -0.0782194549], + ["Mo4+", "P2-", -0.0782194549], + ["P2-", "Mo6+", -0.1698399501], + ["Mo6+", "P2-", -0.1698399501], + ["P2-", "Mo5+", -0.0606911061], + ["Mo5+", "P2-", -0.0606911061], + ["P2-", "Mo2+", -0.1283155606], + ["Mo2+", "P2-", -0.1283155606], + ["P2-", "Tc4+", 0.079929242], + ["Tc4+", "P2-", 0.079929242], + ["P2-", "Tc3-", 0.073612354], + ["Tc3-", "P2-", 0.073612354], + ["P2-", "Tc3+", -0.1051354868], + ["Tc3+", "P2-", -0.1051354868], + ["P2-", "Tc7+", -0.069226147], + ["Tc7+", "P2-", -0.069226147], + ["P2-", "Tc5+", -0.1540959556], + ["Tc5+", "P2-", -0.1540959556], + ["P2-", "Tc6+", -0.1220480519], + ["Tc6+", "P2-", -0.1220480519], + ["P2-", "Tc2-", 0.1091701878], + ["Tc2-", "P2-", 0.1091701878], + ["P2-", "Tc2+", 0.0866963217], + ["Tc2+", "P2-", 0.0866963217], + ["P2-", "Ru2+", 0.082894975], + ["Ru2+", "P2-", 0.082894975], + ["P2-", "Ru6+", 0.043883244], + ["Ru6+", "P2-", 0.043883244], + ["P2-", "Ru4+", -0.0270637054], + ["Ru4+", "P2-", -0.0270637054], + ["P2-", "Ru5+", -0.049048787], + ["Ru5+", "P2-", -0.049048787], + ["P2-", "Ru3+", -0.2148742749], + ["Ru3+", "P2-", -0.2148742749], + ["P2-", "Rh4+", 0.0695018092], + ["Rh4+", "P2-", 0.0695018092], + ["P2-", "Rh3+", -0.1319915566], + ["Rh3+", "P2-", -0.1319915566], + ["P2-", "Pd2+", -0.1235688397], + ["Pd2+", "P2-", -0.1235688397], + ["P2-", "Pd4+", 0.1581383441], + ["Pd4+", "P2-", 0.1581383441], + ["P2-", "Pd3+", 0.2304398085], + ["Pd3+", "P2-", 0.2304398085], + ["P2-", "Ag3+", -0.1228259777], + ["Ag3+", "P2-", -0.1228259777], + ["P2-", "Ag2+", 0.0185577786], + ["Ag2+", "P2-", 0.0185577786], + ["P2-", "Cd2+", 0.0811810002], + ["Cd2+", "P2-", 0.0811810002], + ["P2-", "In3+", -0.1509492841], + ["In3+", "P2-", -0.1509492841], + ["P2-", "In2+", 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"I7+", -0.0252137052], + ["I7+", "P2-", -0.0252137052], + ["P2-", "I5+", -0.1162362738], + ["I5+", "P2-", -0.1162362738], + ["P2-", "I2+", 0.0198441503], + ["I2+", "P2-", 0.0198441503], + ["P2-", "Ba2+", -0.0329065261], + ["Ba2+", "P2-", -0.0329065261], + ["P2-", "La3+", -0.0062738118], + ["La3+", "P2-", -0.0062738118], + ["P2-", "La2+", 0.0593987408], + ["La2+", "P2-", 0.0593987408], + ["P2-", "Ce3+", 0.1090637917], + ["Ce3+", "P2-", 0.1090637917], + ["P2-", "Ce2+", 0.0432368838], + ["Ce2+", "P2-", 0.0432368838], + ["P2-", "Ce4+", 0.0036897203], + ["Ce4+", "P2-", 0.0036897203], + ["P2-", "Pr3+", -0.0285363214], + ["Pr3+", "P2-", -0.0285363214], + ["P2-", "Pr4+", -0.0895967938], + ["Pr4+", "P2-", -0.0895967938], + ["P2-", "Pr2+", -0.007743975], + ["Pr2+", "P2-", -0.007743975], + ["P2-", "Nd3+", -0.113891824], + ["Nd3+", "P2-", -0.113891824], + ["P2-", "Nd2+", -0.0363597227], + ["Nd2+", "P2-", -0.0363597227], + ["P2-", "Pm3+", -0.110006061], + ["Pm3+", "P2-", -0.110006061], + ["P2-", "Sm3+", -0.0680033881], + ["Sm3+", "P2-", -0.0680033881], + ["P2-", "Sm2+", -0.0628440779], + ["Sm2+", "P2-", -0.0628440779], + ["P2-", "Eu2+", 0.0209484487], + ["Eu2+", "P2-", 0.0209484487], + ["P2-", "Eu3+", -0.1118284364], + ["Eu3+", "P2-", -0.1118284364], + ["P2-", "Gd2+", -0.1479512317], + ["Gd2+", "P2-", -0.1479512317], + ["P2-", "Gd3+", -0.2113902976], + ["Gd3+", "P2-", -0.2113902976], + ["P2-", "Tb3+", -0.141365062], + ["Tb3+", "P2-", -0.141365062], + ["P2-", "Tb2+", 0.0460181165], + ["Tb2+", "P2-", 0.0460181165], + ["P2-", "Tb4+", -0.0338588924], + ["Tb4+", "P2-", -0.0338588924], + ["P2-", "Dy3+", -0.1701462574], + ["Dy3+", "P2-", -0.1701462574], + ["P2-", "Dy2+", -0.106009479], + ["Dy2+", "P2-", -0.106009479], + ["P2-", "Ho3+", -0.206641237], + ["Ho3+", "P2-", -0.206641237], + ["P2-", "Ho2+", -0.173242832], + ["Ho2+", "P2-", -0.173242832], + ["P2-", "Er3+", -0.2329380721], + ["Er3+", "P2-", -0.2329380721], + ["P2-", "Tm3+", -0.1925006786], + ["Tm3+", "P2-", -0.1925006786], + 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["Os2+", "P2-", -0.0457302985], + ["P2-", "Ir3+", -0.0794470702], + ["Ir3+", "P2-", -0.0794470702], + ["P2-", "Ir4+", 0.0160659176], + ["Ir4+", "P2-", 0.0160659176], + ["P2-", "Ir5+", -0.066398309], + ["Ir5+", "P2-", -0.066398309], + ["P2-", "Ir6+", 0.000940843], + ["Ir6+", "P2-", 0.000940843], + ["P2-", "Pt2+", 0.0458152471], + ["Pt2+", "P2-", 0.0458152471], + ["P2-", "Pt2-", 0.1296429084], + ["Pt2-", "P2-", 0.1296429084], + ["P2-", "Pt4+", -0.1051879127], + ["Pt4+", "P2-", -0.1051879127], + ["P2-", "Pt3+", -0.0968436693], + ["Pt3+", "P2-", -0.0968436693], + ["P2-", "Pt5+", 0.0251578998], + ["Pt5+", "P2-", 0.0251578998], + ["P2-", "Pt6+", -0.0217217021], + ["Pt6+", "P2-", -0.0217217021], + ["P2-", "Au2+", 0.0167272277], + ["Au2+", "P2-", 0.0167272277], + ["P2-", "Au3+", -0.0632239288], + ["Au3+", "P2-", -0.0632239288], + ["P2-", "Au5+", -0.1741809004], + ["Au5+", "P2-", -0.1741809004], + ["P2-", "Au4+", -0.0345336925], + ["Au4+", "P2-", -0.0345336925], + ["P2-", "Hg2+", 0.1641999325], + ["Hg2+", "P2-", 0.1641999325], + ["P2-", "Tl3+", -0.1804168849], + ["Tl3+", "P2-", -0.1804168849], + ["P2-", "Tl2+", -0.2532583094], + ["Tl2+", "P2-", -0.2532583094], + ["P2-", "Pb2+", -0.2582577702], + ["Pb2+", "P2-", -0.2582577702], + ["P2-", "Pb3+", -0.0998820319], + ["Pb3+", "P2-", -0.0998820319], + ["P2-", "Pb4+", -0.0843345549], + ["Pb4+", "P2-", -0.0843345549], + ["P2-", "Bi3+", -0.2307110763], + ["Bi3+", "P2-", -0.2307110763], + ["P2-", "Bi5+", -0.1571251387], + ["Bi5+", "P2-", -0.1571251387], + ["P2-", "Bi2+", -0.0606967469], + ["Bi2+", "P2-", -0.0606967469], + ["P2-", "Bi3-", 0.1959567683], + ["Bi3-", "P2-", 0.1959567683], + ["P2-", "Bi4+", -0.1032974526], + ["Bi4+", "P2-", -0.1032974526], + ["P2-", "Ac3+", -0.1613828235], + ["Ac3+", "P2-", -0.1613828235], + ["P2-", "Th4+", 0.0194065993], + ["Th4+", "P2-", 0.0194065993], + ["P2-", "Th3+", 0.0145809472], + ["Th3+", "P2-", 0.0145809472], + ["P2-", "Pa4+", 0.1031773062], + ["Pa4+", "P2-", 0.1031773062], + ["P2-", "Pa5+", 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0.3086147868], + ["S2-", "Tc3+", 0.2131352243], + ["Tc3+", "S2-", 0.2131352243], + ["S2-", "Tc7+", 0.0648675653], + ["Tc7+", "S2-", 0.0648675653], + ["S2-", "Tc5+", -0.0576784695], + ["Tc5+", "S2-", -0.0576784695], + ["S2-", "Tc6+", -0.0062494217], + ["Tc6+", "S2-", -0.0062494217], + ["S2-", "Tc2-", 0.1682267704], + ["Tc2-", "S2-", 0.1682267704], + ["S2-", "Tc2+", 0.0006190709], + ["Tc2+", "S2-", 0.0006190709], + ["S2-", "Ru2+", -0.0654333437], + ["Ru2+", "S2-", -0.0654333437], + ["S2-", "Ru6+", -0.0761623929], + ["Ru6+", "S2-", -0.0761623929], + ["S2-", "Ru4+", 0.0203632829], + ["Ru4+", "S2-", 0.0203632829], + ["S2-", "Ru5+", 0.1320975903], + ["Ru5+", "S2-", 0.1320975903], + ["S2-", "Ru3+", -0.2258740475], + ["Ru3+", "S2-", -0.2258740475], + ["S2-", "Rh4+", -0.0757648123], + ["Rh4+", "S2-", -0.0757648123], + ["S2-", "Rh3+", 0.176216225], + ["Rh3+", "S2-", 0.176216225], + ["S2-", "Pd2+", 0.257183716], + ["Pd2+", "S2-", 0.257183716], + ["S2-", "Pd4+", 0.0129434981], + ["Pd4+", "S2-", 0.0129434981], + ["S2-", "Pd3+", 0.0624223944], + ["Pd3+", "S2-", 0.0624223944], + ["S2-", "Ag3+", 0.0920151723], + ["Ag3+", "S2-", 0.0920151723], + ["S2-", "Ag2+", 0.1084127526], + ["Ag2+", "S2-", 0.1084127526], + ["S2-", "Cd2+", 0.0532032458], + ["Cd2+", "S2-", 0.0532032458], + ["S2-", "In3+", 0.1509325373], + ["In3+", "S2-", 0.1509325373], + ["S2-", "In2+", 0.1230096386], + ["In2+", "S2-", 0.1230096386], + ["S2-", "Sn4+", 0.2074937906], + ["Sn4+", "S2-", 0.2074937906], + ["S2-", "Sn3+", 0.0891472069], + ["Sn3+", "S2-", 0.0891472069], + ["S2-", "Sn2+", 0.174420141], + ["Sn2+", "S2-", 0.174420141], + ["S2-", "Sb5+", 0.1360240456], + ["Sb5+", "S2-", 0.1360240456], + ["S2-", "Sb2-", 0.2036611171], + ["Sb2-", "S2-", 0.2036611171], + ["S2-", "Sb3-", 0.327204098], + ["Sb3-", "S2-", 0.327204098], + ["S2-", "Sb3+", 0.3113667572], + ["Sb3+", "S2-", 0.3113667572], + ["S2-", "Sb4+", -0.010088849], + ["Sb4+", "S2-", -0.010088849], + ["S2-", "Te2-", 0.5822526056], + ["Te2-", "S2-", 0.5822526056], 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0.336733706], + ["Ac3+", "S2-", 0.336733706], + ["S2-", "Th4+", 0.0632150317], + ["Th4+", "S2-", 0.0632150317], + ["S2-", "Th3+", 0.1209719173], + ["Th3+", "S2-", 0.1209719173], + ["S2-", "Pa4+", -0.3162759187], + ["Pa4+", "S2-", -0.3162759187], + ["S2-", "Pa5+", -0.0899508608], + ["Pa5+", "S2-", -0.0899508608], + ["S2-", "Pa3+", -0.0053415121], + ["Pa3+", "S2-", -0.0053415121], + ["S2-", "U6+", -0.1307863031], + ["U6+", "S2-", -0.1307863031], + ["S2-", "U4+", 0.1440570886], + ["U4+", "S2-", 0.1440570886], + ["S2-", "U3+", 0.1402392783], + ["U3+", "S2-", 0.1402392783], + ["S2-", "U2+", 0.1337061976], + ["U2+", "S2-", 0.1337061976], + ["S2-", "U5+", -0.1065715914], + ["U5+", "S2-", -0.1065715914], + ["S2-", "Np6+", -0.0329358158], + ["Np6+", "S2-", -0.0329358158], + ["S2-", "Np4+", 0.0895253822], + ["Np4+", "S2-", 0.0895253822], + ["S2-", "Np3+", 0.1296880087], + ["Np3+", "S2-", 0.1296880087], + ["S2-", "Np7+", -0.0983786723], + ["Np7+", "S2-", -0.0983786723], + ["S2-", "Np5+", 0.0677902648], + ["Np5+", "S2-", 0.0677902648], + ["S2-", "Pu7+", -0.1562913211], + ["Pu7+", "S2-", -0.1562913211], + ["S2-", "Pu6+", -0.0728367268], + ["Pu6+", "S2-", -0.0728367268], + ["S2-", "Pu3+", 0.1680925436], + ["Pu3+", "S2-", 0.1680925436], + ["S2-", "Pu4+", 0.0810278228], + ["Pu4+", "S2-", 0.0810278228], + ["S2-", "Pu5+", -0.2165254619], + ["Pu5+", "S2-", -0.2165254619], + ["S2-", "H1+", 0.0055444172], + ["H1+", "S2-", 0.0055444172], + ["S2-", "H1-", 0.2789343901], + ["H1-", "S2-", 0.2789343901], + ["S2-", "Li1+", 0.1707017493], + ["Li1+", "S2-", 0.1707017493], + ["S2-", "B1+", -0.013103131], + ["B1+", "S2-", -0.013103131], + ["S2-", "B1-", 0.2865969718], + ["B1-", "S2-", 0.2865969718], + ["S2-", "C1-", 0.2643472356], + ["C1-", "S2-", 0.2643472356], + ["S2-", "C1+", 0.1754474154], + ["C1+", "S2-", 0.1754474154], + ["S2-", "N1-", 0.3526781187], + ["N1-", "S2-", 0.3526781187], + ["S2-", "N1+", 0.3364604423], + ["N1+", "S2-", 0.3364604423], + ["S2-", "O1-", 0.3441341151], + 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+ ["Pt2+", "Sc2+", 0.2539363194], + ["Sc2+", "Pt2-", 0.054571887], + ["Pt2-", "Sc2+", 0.054571887], + ["Sc2+", "Pt4+", 0.1381292381], + ["Pt4+", "Sc2+", 0.1381292381], + ["Sc2+", "Pt3+", 0.1617103668], + ["Pt3+", "Sc2+", 0.1617103668], + ["Sc2+", "Pt5+", 0.1535297825], + ["Pt5+", "Sc2+", 0.1535297825], + ["Sc2+", "Pt6+", 0.0337231285], + ["Pt6+", "Sc2+", 0.0337231285], + ["Sc2+", "Au2+", 0.4463900331], + ["Au2+", "Sc2+", 0.4463900331], + ["Sc2+", "Au3+", 0.0998797843], + ["Au3+", "Sc2+", 0.0998797843], + ["Sc2+", "Au5+", -0.0161683976], + ["Au5+", "Sc2+", -0.0161683976], + ["Sc2+", "Au4+", -0.1952060717], + ["Au4+", "Sc2+", -0.1952060717], + ["Sc2+", "Hg2+", 0.3794499649], + ["Hg2+", "Sc2+", 0.3794499649], + ["Sc2+", "Tl3+", 0.2036589686], + ["Tl3+", "Sc2+", 0.2036589686], + ["Sc2+", "Tl2+", -0.1277838525], + ["Tl2+", "Sc2+", -0.1277838525], + ["Sc2+", "Pb2+", -0.0622619016], + ["Pb2+", "Sc2+", -0.0622619016], + ["Sc2+", "Pb3+", 0.0615842992], + ["Pb3+", "Sc2+", 0.0615842992], + 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+ ["Li1+", "Sc2+", 0.0267427198], + ["Sc2+", "B1+", 0.2418750219], + ["B1+", "Sc2+", 0.2418750219], + ["Sc2+", "B1-", 0.0634291406], + ["B1-", "Sc2+", 0.0634291406], + ["Sc2+", "C1-", -0.0251314091], + ["C1-", "Sc2+", -0.0251314091], + ["Sc2+", "C1+", 0.0680851419], + ["C1+", "Sc2+", 0.0680851419], + ["Sc2+", "N1-", -0.0731798434], + ["N1-", "Sc2+", -0.0731798434], + ["Sc2+", "N1+", 0.0897887739], + ["N1+", "Sc2+", 0.0897887739], + ["Sc2+", "O1-", -0.1632008881], + ["O1-", "Sc2+", -0.1632008881], + ["Sc2+", "F1-", -0.1042002504], + ["F1-", "Sc2+", -0.1042002504], + ["Sc2+", "Na1+", 0.0672782986], + ["Na1+", "Sc2+", 0.0672782986], + ["Sc2+", "Si1-", -0.110804141], + ["Si1-", "Sc2+", -0.110804141], + ["Sc2+", "P1+", 0.0520598007], + ["P1+", "Sc2+", 0.0520598007], + ["Sc2+", "P1-", -0.0737940048], + ["P1-", "Sc2+", -0.0737940048], + ["Sc2+", "S1-", 0.0102938956], + ["S1-", "Sc2+", 0.0102938956], + ["Sc2+", "S1+", 0.10819579], + ["S1+", "Sc2+", 0.10819579], + ["Sc2+", "Cl1-", 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+ ["Sc2+", "Rb1+", 0.11673398], + ["Rb1+", "Sc2+", 0.11673398], + ["Sc2+", "Y1+", 0.1215789201], + ["Y1+", "Sc2+", 0.1215789201], + ["Sc2+", "Zr1+", 0.1117437], + ["Zr1+", "Sc2+", 0.1117437], + ["Sc2+", "Nb1+", 0.2546248756], + ["Nb1+", "Sc2+", 0.2546248756], + ["Sc2+", "Tc1-", 0.1646343384], + ["Tc1-", "Sc2+", 0.1646343384], + ["Sc2+", "Tc1+", 0.206213923], + ["Tc1+", "Sc2+", 0.206213923], + ["Sc2+", "Rh1+", 0.3347793679], + ["Rh1+", "Sc2+", 0.3347793679], + ["Sc2+", "Ag1+", 0.0842391283], + ["Ag1+", "Sc2+", 0.0842391283], + ["Sc2+", "In1+", 0.279946597], + ["In1+", "Sc2+", 0.279946597], + ["Sc2+", "Sb1-", 0.0922897824], + ["Sb1-", "Sc2+", 0.0922897824], + ["Sc2+", "Sb1+", 0.0678397143], + ["Sb1+", "Sc2+", 0.0678397143], + ["Sc2+", "Te1-", 0.0958147191], + ["Te1-", "Sc2+", 0.0958147191], + ["Sc2+", "Te1+", 0.032410837], + ["Te1+", "Sc2+", 0.032410837], + ["Sc2+", "I1-", 0.1576135738], + ["I1-", "Sc2+", 0.1576135738], + ["Sc2+", "I1+", 0.0572590216], + ["I1+", "Sc2+", 0.0572590216], + 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0.1311475987], + ["Ti4+", "Hf2+", 0.144902622], + ["Hf2+", "Ti4+", 0.144902622], + ["Ti4+", "Hf4+", 0.6623675557], + ["Hf4+", "Ti4+", 0.6623675557], + ["Ti4+", "Ta5+", 0.7243651391], + ["Ta5+", "Ti4+", 0.7243651391], + ["Ti4+", "Ta3+", -0.1113048347], + ["Ta3+", "Ti4+", -0.1113048347], + ["Ti4+", "Ta4+", 0.449561], + ["Ta4+", "Ti4+", 0.449561], + ["Ti4+", "Ta2+", -0.1264612301], + ["Ta2+", "Ti4+", -0.1264612301], + ["Ti4+", "W6+", 0.5288570801], + ["W6+", "Ti4+", 0.5288570801], + ["Ti4+", "W4+", 0.381750511], + ["W4+", "Ti4+", 0.381750511], + ["Ti4+", "W2+", 0.221180013], + ["W2+", "Ti4+", 0.221180013], + ["Ti4+", "W3+", 0.3324313312], + ["W3+", "Ti4+", 0.3324313312], + ["Ti4+", "W5+", 0.3622644416], + ["W5+", "Ti4+", 0.3622644416], + ["Ti4+", "Re5+", 0.5320388284], + ["Re5+", "Ti4+", 0.5320388284], + ["Ti4+", "Re3+", 0.1484389366], + ["Re3+", "Ti4+", 0.1484389366], + ["Ti4+", "Re6+", 0.1141094294], + ["Re6+", "Ti4+", 0.1141094294], + ["Ti4+", "Re2+", 0.2723451356], + ["Re2+", "Ti4+", 0.2723451356], + ["Ti4+", "Re4+", 0.2429348134], + ["Re4+", "Ti4+", 0.2429348134], + ["Ti4+", "Re7+", 0.3827559291], + ["Re7+", "Ti4+", 0.3827559291], + ["Ti4+", "Os7+", 0.1106184714], + ["Os7+", "Ti4+", 0.1106184714], + ["Ti4+", "Os6+", 0.1755132145], + ["Os6+", "Ti4+", 0.1755132145], + ["Ti4+", "Os5+", 0.3313622768], + ["Os5+", "Ti4+", 0.3313622768], + ["Ti4+", "Os2-", 0.1202171303], + ["Os2-", "Ti4+", 0.1202171303], + ["Ti4+", "Os3+", 0.1410419638], + ["Os3+", "Ti4+", 0.1410419638], + ["Ti4+", "Os4+", 0.2956854736], + ["Os4+", "Ti4+", 0.2956854736], + ["Ti4+", "Os8+", 0.1519126624], + ["Os8+", "Ti4+", 0.1519126624], + ["Ti4+", "Os2+", 0.1641622048], + ["Os2+", "Ti4+", 0.1641622048], + ["Ti4+", "Ir3+", -0.0608423479], + ["Ir3+", "Ti4+", -0.0608423479], + ["Ti4+", "Ir4+", 0.5017682372], + ["Ir4+", "Ti4+", 0.5017682372], + ["Ti4+", "Ir5+", 0.2941836322], + ["Ir5+", "Ti4+", 0.2941836322], + ["Ti4+", "Ir6+", 0.1816763046], + ["Ir6+", "Ti4+", 0.1816763046], + ["Ti4+", "Pt2+", 0.2441047591], + ["Pt2+", "Ti4+", 0.2441047591], + ["Ti4+", "Pt2-", -0.339221345], + ["Pt2-", "Ti4+", -0.339221345], + ["Ti4+", "Pt4+", 0.2231397736], + ["Pt4+", "Ti4+", 0.2231397736], + ["Ti4+", "Pt3+", 0.4114406729], + ["Pt3+", "Ti4+", 0.4114406729], + ["Ti4+", "Pt5+", 0.0771311625], + ["Pt5+", "Ti4+", 0.0771311625], + ["Ti4+", "Pt6+", 0.1076289748], + ["Pt6+", "Ti4+", 0.1076289748], + ["Ti4+", "Au2+", -0.0707786966], + ["Au2+", "Ti4+", -0.0707786966], + ["Ti4+", "Au3+", 0.0396516632], + ["Au3+", "Ti4+", 0.0396516632], + ["Ti4+", "Au5+", 0.0359482029], + ["Au5+", "Ti4+", 0.0359482029], + ["Ti4+", "Au4+", -0.0141564815], + ["Au4+", "Ti4+", -0.0141564815], + ["Ti4+", "Hg2+", 0.0864574198], + ["Hg2+", "Ti4+", 0.0864574198], + ["Ti4+", "Tl3+", 0.1865849091], + ["Tl3+", "Ti4+", 0.1865849091], + ["Ti4+", "Tl2+", 0.3750855752], + ["Tl2+", "Ti4+", 0.3750855752], + ["Ti4+", "Pb2+", 0.3717786469], + ["Pb2+", "Ti4+", 0.3717786469], + ["Ti4+", "Pb3+", 0.3292934041], + ["Pb3+", "Ti4+", 0.3292934041], + ["Ti4+", "Pb4+", 0.2227839873], + ["Pb4+", "Ti4+", 0.2227839873], + ["Ti4+", "Bi3+", 0.501269093], + ["Bi3+", "Ti4+", 0.501269093], + ["Ti4+", "Bi5+", 0.3577805343], + ["Bi5+", "Ti4+", 0.3577805343], + ["Ti4+", "Bi2+", 0.3535723596], + ["Bi2+", "Ti4+", 0.3535723596], + ["Ti4+", "Bi3-", 0.0536031548], + ["Bi3-", "Ti4+", 0.0536031548], + ["Ti4+", "Bi4+", 0.421202816], + ["Bi4+", "Ti4+", 0.421202816], + ["Ti4+", "Ac3+", 0.1736883885], + ["Ac3+", "Ti4+", 0.1736883885], + ["Ti4+", "Th4+", 0.1652483405], + ["Th4+", "Ti4+", 0.1652483405], + ["Ti4+", "Th3+", -0.0480004703], + ["Th3+", "Ti4+", -0.0480004703], + ["Ti4+", "Pa4+", 0.0790337448], + ["Pa4+", "Ti4+", 0.0790337448], + ["Ti4+", "Pa5+", 0.2411312293], + ["Pa5+", "Ti4+", 0.2411312293], + ["Ti4+", "Pa3+", -0.0393367618], + ["Pa3+", "Ti4+", -0.0393367618], + ["Ti4+", "U6+", 0.3304358832], + ["U6+", "Ti4+", 0.3304358832], + ["Ti4+", "U4+", 0.0475234463], + ["U4+", "Ti4+", 0.0475234463], + ["Ti4+", "U3+", -0.1275871038], + 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0.4872121624], + ["Li1+", "Ti4+", 0.4872121624], + ["Ti4+", "B1+", -0.100135834], + ["B1+", "Ti4+", -0.100135834], + ["Ti4+", "B1-", 0.0049222262], + ["B1-", "Ti4+", 0.0049222262], + ["Ti4+", "C1-", 0.0584066631], + ["C1-", "Ti4+", 0.0584066631], + ["Ti4+", "C1+", 0.232391869], + ["C1+", "Ti4+", 0.232391869], + ["Ti4+", "N1-", 0.0224447555], + ["N1-", "Ti4+", 0.0224447555], + ["Ti4+", "N1+", 0.2363618538], + ["N1+", "Ti4+", 0.2363618538], + ["Ti4+", "O1-", 0.0938533614], + ["O1-", "Ti4+", 0.0938533614], + ["Ti4+", "F1-", 0.120031086], + ["F1-", "Ti4+", 0.120031086], + ["Ti4+", "Na1+", 0.5547683882], + ["Na1+", "Ti4+", 0.5547683882], + ["Ti4+", "Si1-", 0.0323324736], + ["Si1-", "Ti4+", 0.0323324736], + ["Ti4+", "P1+", 0.0884044588], + ["P1+", "Ti4+", 0.0884044588], + ["Ti4+", "P1-", -0.0264792129], + ["P1-", "Ti4+", -0.0264792129], + ["Ti4+", "S1-", 0.2587577376], + ["S1-", "Ti4+", 0.2587577376], + ["Ti4+", "S1+", 0.1801110437], + ["S1+", "Ti4+", 0.1801110437], + ["Ti4+", "Cl1-", 0.1601537211], + ["Cl1-", "Ti4+", 0.1601537211], + ["Ti4+", "K1+", 0.3378401498], + ["K1+", "Ti4+", 0.3378401498], + ["Ti4+", "Sc1+", -0.0455750447], + ["Sc1+", "Ti4+", -0.0455750447], + ["Ti4+", "Mn1+", 0.1130055348], + ["Mn1+", "Ti4+", 0.1130055348], + ["Ti4+", "Fe1+", 0.1372962808], + ["Fe1+", "Ti4+", 0.1372962808], + ["Ti4+", "Co1+", 0.1597692793], + ["Co1+", "Ti4+", 0.1597692793], + ["Ti4+", "Ni1+", 0.0748648818], + ["Ni1+", "Ti4+", 0.0748648818], + ["Ti4+", "Cu1+", 0.1210141382], + ["Cu1+", "Ti4+", 0.1210141382], + ["Ti4+", "Ga1+", -0.1602498591], + ["Ga1+", "Ti4+", -0.1602498591], + ["Ti4+", "As1-", -0.0525234037], + ["As1-", "Ti4+", -0.0525234037], + ["Ti4+", "As1+", 0.2796477334], + ["As1+", "Ti4+", 0.2796477334], + ["Ti4+", "Se1-", 0.1985812895], + ["Se1-", "Ti4+", 0.1985812895], + ["Ti4+", "Se1+", 0.2638994263], + ["Se1+", "Ti4+", 0.2638994263], + ["Ti4+", "Br1-", 0.0966826104], + ["Br1-", "Ti4+", 0.0966826104], + ["Ti4+", "Br1+", 0.0204784268], + ["Br1+", "Ti4+", 0.0204784268], + ["Ti4+", "Rb1+", 0.2353632746], + ["Rb1+", "Ti4+", 0.2353632746], + ["Ti4+", "Y1+", 0.0314203743], + ["Y1+", "Ti4+", 0.0314203743], + ["Ti4+", "Zr1+", -0.2886863928], + ["Zr1+", "Ti4+", -0.2886863928], + ["Ti4+", "Nb1+", 0.0798240277], + ["Nb1+", "Ti4+", 0.0798240277], + ["Ti4+", "Tc1-", 0.0005724135], + ["Tc1-", "Ti4+", 0.0005724135], + ["Ti4+", "Tc1+", 0.1338115294], + ["Tc1+", "Ti4+", 0.1338115294], + ["Ti4+", "Rh1+", -0.0508027436], + ["Rh1+", "Ti4+", -0.0508027436], + ["Ti4+", "Ag1+", 0.3901755682], + ["Ag1+", "Ti4+", 0.3901755682], + ["Ti4+", "In1+", -0.0347714162], + ["In1+", "Ti4+", -0.0347714162], + ["Ti4+", "Sb1-", -0.0927181862], + ["Sb1-", "Ti4+", -0.0927181862], + ["Ti4+", "Sb1+", 0.129590217], + ["Sb1+", "Ti4+", 0.129590217], + ["Ti4+", "Te1-", 0.1998269531], + ["Te1-", "Ti4+", 0.1998269531], + ["Ti4+", "Te1+", 0.0365461078], + ["Te1+", "Ti4+", 0.0365461078], + ["Ti4+", "I1-", 0.0396883288], + ["I1-", "Ti4+", 0.0396883288], + ["Ti4+", "I1+", 0.1042211724], + ["I1+", "Ti4+", 0.1042211724], + ["Ti4+", "Cs1+", 0.2465390287], + ["Cs1+", "Ti4+", 0.2465390287], + ["Ti4+", "La1+", -0.162932683], + ["La1+", "Ti4+", -0.162932683], + ["Ti4+", "Tb1+", -0.1250744183], + ["Tb1+", "Ti4+", -0.1250744183], + ["Ti4+", "Ta1+", 0.0579988461], + ["Ta1+", "Ti4+", 0.0579988461], + ["Ti4+", "Os1-", 0.0177968958], + ["Os1-", "Ti4+", 0.0177968958], + ["Ti4+", "Os1+", 0.0469033549], + ["Os1+", "Ti4+", 0.0469033549], + ["Ti4+", "Pt1-", 0.0596604782], + ["Pt1-", "Ti4+", 0.0596604782], + ["Ti4+", "Pt1+", 0.0831556334], + ["Pt1+", "Ti4+", 0.0831556334], + ["Ti4+", "Au1-", -0.3427709715], + ["Au1-", "Ti4+", -0.3427709715], + ["Ti4+", "Au1+", 0.0218955263], + ["Au1+", "Ti4+", 0.0218955263], + ["Ti4+", "Hg1+", 0.2273930811], + ["Hg1+", "Ti4+", 0.2273930811], + ["Ti4+", "Tl1+", 0.3650926372], + ["Tl1+", "Ti4+", 0.3650926372], + ["Ti4+", "Bi1+", -0.0603050112], + ["Bi1+", "Ti4+", -0.0603050112], + ["Ti2+", "Ti2+", 1.0], + ["Ti2+", "V4+", 0.1698489782], + 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-0.2578167033], + ["V5+", "Nb1+", -0.0342784516], + ["Nb1+", "V5+", -0.0342784516], + ["V5+", "Tc1-", 0.0150908419], + ["Tc1-", "V5+", 0.0150908419], + ["V5+", "Tc1+", 0.1924982621], + ["Tc1+", "V5+", 0.1924982621], + ["V5+", "Rh1+", -0.1272142794], + ["Rh1+", "V5+", -0.1272142794], + ["V5+", "Ag1+", 0.3034113041], + ["Ag1+", "V5+", 0.3034113041], + ["V5+", "In1+", -0.0699812881], + ["In1+", "V5+", -0.0699812881], + ["V5+", "Sb1-", -0.1672272534], + ["Sb1-", "V5+", -0.1672272534], + ["V5+", "Sb1+", 0.1187740462], + ["Sb1+", "V5+", 0.1187740462], + ["V5+", "Te1-", 0.0173264489], + ["Te1-", "V5+", 0.0173264489], + ["V5+", "Te1+", 0.1559104461], + ["Te1+", "V5+", 0.1559104461], + ["V5+", "I1-", 0.0604993173], + ["I1-", "V5+", 0.0604993173], + ["V5+", "I1+", 0.2736698704], + ["I1+", "V5+", 0.2736698704], + ["V5+", "Cs1+", 0.2360671378], + ["Cs1+", "V5+", 0.2360671378], + ["V5+", "La1+", -0.1787874466], + ["La1+", "V5+", -0.1787874466], + ["V5+", "Tb1+", -0.1504404893], + ["Tb1+", "V5+", -0.1504404893], + ["V5+", "Ta1+", -0.2423277525], + ["Ta1+", "V5+", -0.2423277525], + ["V5+", "Os1-", -0.2729769783], + ["Os1-", "V5+", -0.2729769783], + ["V5+", "Os1+", 0.0222930132], + ["Os1+", "V5+", 0.0222930132], + ["V5+", "Pt1-", -0.2418766086], + ["Pt1-", "V5+", -0.2418766086], + ["V5+", "Pt1+", -0.022820098], + ["Pt1+", "V5+", -0.022820098], + ["V5+", "Au1-", -0.181829284], + ["Au1-", "V5+", -0.181829284], + ["V5+", "Au1+", 0.0708718291], + ["Au1+", "V5+", 0.0708718291], + ["V5+", "Hg1+", 0.3230429712], + ["Hg1+", "V5+", 0.3230429712], + ["V5+", "Tl1+", 0.3185362311], + ["Tl1+", "V5+", 0.3185362311], + ["V5+", "Bi1+", -0.2543455056], + ["Bi1+", "V5+", -0.2543455056], + ["Cr3+", "Cr3+", 1.0], + ["Cr3+", "Cr2+", 0.5709655693], + ["Cr2+", "Cr3+", 0.5709655693], + ["Cr3+", "Cr6+", 0.2422066535], + ["Cr6+", "Cr3+", 0.2422066535], + ["Cr3+", "Cr4+", 0.704081162], + ["Cr4+", "Cr3+", 0.704081162], + ["Cr3+", "Cr5+", 0.3697299392], + ["Cr5+", "Cr3+", 0.3697299392], + ["Cr3+", "Mn2+", 0.4510948483], + ["Mn2+", "Cr3+", 0.4510948483], + ["Cr3+", "Mn3+", 0.5269676734], + ["Mn3+", "Cr3+", 0.5269676734], + ["Cr3+", "Mn4+", 0.3796698766], + ["Mn4+", "Cr3+", 0.3796698766], + ["Cr3+", "Mn7+", 0.2199626345], + ["Mn7+", "Cr3+", 0.2199626345], + ["Cr3+", "Mn6+", 0.226453272], + ["Mn6+", "Cr3+", 0.226453272], + ["Cr3+", "Mn5+", 0.2847432363], + ["Mn5+", "Cr3+", 0.2847432363], + ["Cr3+", "Fe2+", 0.425181821], + ["Fe2+", "Cr3+", 0.425181821], + ["Cr3+", "Fe3+", 0.5265606566], + ["Fe3+", "Cr3+", 0.5265606566], + ["Cr3+", "Fe4+", 0.4697400258], + ["Fe4+", "Cr3+", 0.4697400258], + ["Cr3+", "Fe6+", 0.1122027147], + ["Fe6+", "Cr3+", 0.1122027147], + ["Cr3+", "Fe5+", 0.5029096545], + ["Fe5+", "Cr3+", 0.5029096545], + ["Cr3+", "Co2+", 0.4189371556], + ["Co2+", "Cr3+", 0.4189371556], + ["Cr3+", "Co4+", 0.4633618414], + ["Co4+", "Cr3+", 0.4633618414], + ["Cr3+", "Co3+", 0.4500471137], + ["Co3+", "Cr3+", 0.4500471137], + ["Cr3+", "Ni2+", 0.4613102848], + ["Ni2+", "Cr3+", 0.4613102848], + ["Cr3+", "Ni4+", 0.3451728692], + ["Ni4+", "Cr3+", 0.3451728692], + ["Cr3+", "Ni3+", 0.5266961871], + ["Ni3+", "Cr3+", 0.5266961871], + ["Cr3+", "Cu2+", 0.5158080935], + ["Cu2+", "Cr3+", 0.5158080935], + ["Cr3+", "Cu3+", 0.1776703416], + ["Cu3+", "Cr3+", 0.1776703416], + ["Cr3+", "Zn2+", 0.4822583589], + ["Zn2+", "Cr3+", 0.4822583589], + ["Cr3+", "Ga3+", 0.5806819768], + ["Ga3+", "Cr3+", 0.5806819768], + ["Cr3+", "Ga4+", 0.1341933476], + ["Ga4+", "Cr3+", 0.1341933476], + ["Cr3+", "Ga2+", 0.1728377979], + ["Ga2+", "Cr3+", 0.1728377979], + ["Cr3+", "Ge4-", -0.070516622], + ["Ge4-", "Cr3+", -0.070516622], + ["Cr3+", "Ge4+", 0.6137053494], + ["Ge4+", "Cr3+", 0.6137053494], + ["Cr3+", "Ge2-", -0.0678988101], + ["Ge2-", "Cr3+", -0.0678988101], + ["Cr3+", "Ge2+", 0.2562601862], + ["Ge2+", "Cr3+", 0.2562601862], + ["Cr3+", "Ge3+", 0.3735856745], + ["Ge3+", "Cr3+", 0.3735856745], + ["Cr3+", "As2-", -0.0796084572], + ["As2-", "Cr3+", -0.0796084572], + ["Cr3+", "As3+", 0.3761711379], + ["As3+", "Cr3+", 0.3761711379], + ["Cr3+", "As5+", 0.3917157845], + ["As5+", "Cr3+", 0.3917157845], + ["Cr3+", "As3-", -0.079983299], + ["As3-", "Cr3+", -0.079983299], + ["Cr3+", "As2+", 0.5164305103], + ["As2+", "Cr3+", 0.5164305103], + ["Cr3+", "As4+", 0.2652813805], + ["As4+", "Cr3+", 0.2652813805], + ["Cr3+", "Se2-", 0.0631190091], + ["Se2-", "Cr3+", 0.0631190091], + ["Cr3+", "Se4+", 0.1249439339], + ["Se4+", "Cr3+", 0.1249439339], + ["Cr3+", "Se6+", 0.2344200814], + ["Se6+", "Cr3+", 0.2344200814], + ["Cr3+", "Se5+", 0.2153861816], + ["Se5+", "Cr3+", 0.2153861816], + ["Cr3+", "Se2+", 0.0583709126], + ["Se2+", "Cr3+", 0.0583709126], + ["Cr3+", "Se3+", -0.0060690878], + ["Se3+", "Cr3+", -0.0060690878], + ["Cr3+", "Br2+", 0.2453801167], + ["Br2+", "Cr3+", 0.2453801167], + ["Cr3+", "Br5+", 0.100661831], + ["Br5+", "Cr3+", 0.100661831], + ["Cr3+", "Br3+", 0.0384089098], + ["Br3+", "Cr3+", 0.0384089098], + ["Cr3+", "Sr2+", 0.3636690264], + ["Sr2+", "Cr3+", 0.3636690264], + ["Cr3+", "Y3+", 0.4471766598], + ["Y3+", "Cr3+", 0.4471766598], + ["Cr3+", "Y2+", 0.0487246544], + ["Y2+", "Cr3+", 0.0487246544], + ["Cr3+", "Zr2+", -0.0754540263], + ["Zr2+", "Cr3+", -0.0754540263], + ["Cr3+", "Zr4+", 0.5908712881], + ["Zr4+", "Cr3+", 0.5908712881], + ["Cr3+", "Zr3+", 0.1482421788], + ["Zr3+", "Cr3+", 0.1482421788], + ["Cr3+", "Nb5+", 0.4525080469], + ["Nb5+", "Cr3+", 0.4525080469], + ["Cr3+", "Nb3+", 0.4147515649], + ["Nb3+", "Cr3+", 0.4147515649], + ["Cr3+", "Nb4+", 0.4557860768], + ["Nb4+", "Cr3+", 0.4557860768], + ["Cr3+", "Nb2+", 0.1745509216], + ["Nb2+", "Cr3+", 0.1745509216], + ["Cr3+", "Nb7+", 0.1317720828], + ["Nb7+", "Cr3+", 0.1317720828], + ["Cr3+", "Mo3+", 0.4170486731], + ["Mo3+", "Cr3+", 0.4170486731], + ["Cr3+", "Mo4+", 0.4481089051], + ["Mo4+", "Cr3+", 0.4481089051], + ["Cr3+", "Mo6+", 0.4924262443], + ["Mo6+", "Cr3+", 0.4924262443], + ["Cr3+", "Mo5+", 0.1242291091], + ["Mo5+", "Cr3+", 0.1242291091], + ["Cr3+", "Mo2+", 0.3928560041], + ["Mo2+", "Cr3+", 0.3928560041], + ["Cr3+", "Tc4+", 0.1217509181], + ["Tc4+", "Cr3+", 0.1217509181], + ["Cr3+", "Tc3-", 0.0528305995], + ["Tc3-", "Cr3+", 0.0528305995], + ["Cr3+", "Tc3+", 0.3010646598], + ["Tc3+", "Cr3+", 0.3010646598], + ["Cr3+", "Tc7+", 0.1960548417], + ["Tc7+", "Cr3+", 0.1960548417], + ["Cr3+", "Tc5+", 0.1692978812], + ["Tc5+", "Cr3+", 0.1692978812], + ["Cr3+", "Tc6+", 0.1497776195], + ["Tc6+", "Cr3+", 0.1497776195], + ["Cr3+", "Tc2-", 0.1175097581], + ["Tc2-", "Cr3+", 0.1175097581], + ["Cr3+", "Tc2+", 0.0370175044], + ["Tc2+", "Cr3+", 0.0370175044], + ["Cr3+", "Ru2+", 0.0383635548], + ["Ru2+", "Cr3+", 0.0383635548], + ["Cr3+", "Ru6+", 0.1267945919], + ["Ru6+", "Cr3+", 0.1267945919], + ["Cr3+", "Ru4+", 0.2444516603], + ["Ru4+", "Cr3+", 0.2444516603], + ["Cr3+", "Ru5+", 0.3235099701], + ["Ru5+", "Cr3+", 0.3235099701], + ["Cr3+", "Ru3+", 0.171164763], + ["Ru3+", "Cr3+", 0.171164763], + ["Cr3+", "Rh4+", 0.3418238572], + ["Rh4+", "Cr3+", 0.3418238572], + ["Cr3+", "Rh3+", 0.212390124], + ["Rh3+", "Cr3+", 0.212390124], + ["Cr3+", "Pd2+", 0.288809153], + ["Pd2+", "Cr3+", 0.288809153], + ["Cr3+", "Pd4+", 0.2224120552], + ["Pd4+", "Cr3+", 0.2224120552], + ["Cr3+", "Pd3+", 0.2020381453], + ["Pd3+", "Cr3+", 0.2020381453], + ["Cr3+", "Ag3+", 0.2985565572], + ["Ag3+", "Cr3+", 0.2985565572], + ["Cr3+", "Ag2+", 0.3051588332], + ["Ag2+", "Cr3+", 0.3051588332], + ["Cr3+", "Cd2+", 0.2818274281], + ["Cd2+", "Cr3+", 0.2818274281], + ["Cr3+", "In3+", 0.6209944994], + ["In3+", "Cr3+", 0.6209944994], + ["Cr3+", "In2+", 0.209523076], + ["In2+", "Cr3+", 0.209523076], + ["Cr3+", "Sn4+", 0.520361741], + ["Sn4+", "Cr3+", 0.520361741], + ["Cr3+", "Sn3+", 0.4005228128], + ["Sn3+", "Cr3+", 0.4005228128], + ["Cr3+", "Sn2+", 0.4314084605], + ["Sn2+", "Cr3+", 0.4314084605], + ["Cr3+", "Sb5+", 0.3507510798], + ["Sb5+", "Cr3+", 0.3507510798], + ["Cr3+", "Sb2-", -0.1142444653], + ["Sb2-", "Cr3+", -0.1142444653], + ["Cr3+", "Sb3-", -0.1225153872], + ["Sb3-", "Cr3+", -0.1225153872], + ["Cr3+", "Sb3+", 0.5572826806], + ["Sb3+", "Cr3+", 0.5572826806], + ["Cr3+", "Sb4+", 0.1431575287], + ["Sb4+", "Cr3+", 0.1431575287], + ["Cr3+", "Te2-", 0.0629255141], + ["Te2-", "Cr3+", 0.0629255141], + ["Cr3+", "Te4+", 0.3237652094], + ["Te4+", "Cr3+", 0.3237652094], + ["Cr3+", "Te6+", 0.2698837448], + ["Te6+", "Cr3+", 0.2698837448], + ["Cr3+", "Te2+", -0.0220367243], + ["Te2+", "Cr3+", -0.0220367243], + ["Cr3+", "Te5+", 0.2839732309], + ["Te5+", "Cr3+", 0.2839732309], + ["Cr3+", "I3+", -0.0124283826], + ["I3+", "Cr3+", -0.0124283826], + ["Cr3+", "I7+", 0.2089512412], + ["I7+", "Cr3+", 0.2089512412], + ["Cr3+", "I5+", 0.1262200233], + ["I5+", "Cr3+", 0.1262200233], + ["Cr3+", "I2+", 0.2658347166], + ["I2+", "Cr3+", 0.2658347166], + ["Cr3+", "Ba2+", 0.5534414507], + ["Ba2+", "Cr3+", 0.5534414507], + ["Cr3+", "La3+", 0.4833461768], + ["La3+", "Cr3+", 0.4833461768], + ["Cr3+", "La2+", 0.1352736806], + ["La2+", "Cr3+", 0.1352736806], + ["Cr3+", "Ce3+", 0.3793969466], + ["Ce3+", "Cr3+", 0.3793969466], + ["Cr3+", "Ce2+", 0.2485216722], + ["Ce2+", "Cr3+", 0.2485216722], + ["Cr3+", "Ce4+", 0.2972234914], + ["Ce4+", "Cr3+", 0.2972234914], + ["Cr3+", "Pr3+", 0.4261011857], + ["Pr3+", "Cr3+", 0.4261011857], + ["Cr3+", "Pr4+", 0.3912995623], + ["Pr4+", "Cr3+", 0.3912995623], + ["Cr3+", "Pr2+", 0.2162230882], + ["Pr2+", "Cr3+", 0.2162230882], + ["Cr3+", "Nd3+", 0.5017044193], + ["Nd3+", "Cr3+", 0.5017044193], + ["Cr3+", "Nd2+", 0.0351120272], + ["Nd2+", "Cr3+", 0.0351120272], + ["Cr3+", "Pm3+", 0.4866396507], + ["Pm3+", "Cr3+", 0.4866396507], + ["Cr3+", "Sm3+", 0.542802358], + ["Sm3+", "Cr3+", 0.542802358], + ["Cr3+", "Sm2+", 0.1026572844], + ["Sm2+", "Cr3+", 0.1026572844], + ["Cr3+", "Eu2+", 0.2981061029], + ["Eu2+", "Cr3+", 0.2981061029], + ["Cr3+", "Eu3+", 0.2910374376], + ["Eu3+", "Cr3+", 0.2910374376], + ["Cr3+", "Gd2+", 0.117455139], + ["Gd2+", "Cr3+", 0.117455139], + ["Cr3+", "Gd3+", 0.4566080794], + ["Gd3+", "Cr3+", 0.4566080794], + ["Cr3+", "Tb3+", 0.4911252137], + ["Tb3+", "Cr3+", 0.4911252137], + ["Cr3+", "Tb2+", 0.0958004893], + ["Tb2+", "Cr3+", 0.0958004893], + ["Cr3+", "Tb4+", 0.3263877374], + ["Tb4+", "Cr3+", 0.3263877374], + ["Cr3+", "Dy3+", 0.3821713701], + ["Dy3+", "Cr3+", 0.3821713701], + ["Cr3+", "Dy2+", -0.0035710523], + ["Dy2+", "Cr3+", -0.0035710523], + ["Cr3+", "Ho3+", 0.5025360089], + ["Ho3+", "Cr3+", 0.5025360089], + ["Cr3+", "Ho2+", 0.1641321787], + ["Ho2+", "Cr3+", 0.1641321787], + ["Cr3+", "Er3+", 0.4708765636], + ["Er3+", "Cr3+", 0.4708765636], + ["Cr3+", "Tm3+", 0.4709044568], + ["Tm3+", "Cr3+", 0.4709044568], + ["Cr3+", "Tm2+", -0.0051115282], + ["Tm2+", "Cr3+", -0.0051115282], + ["Cr3+", "Yb3+", 0.3701979323], + ["Yb3+", "Cr3+", 0.3701979323], + ["Cr3+", "Yb2+", 0.139924177], + ["Yb2+", "Cr3+", 0.139924177], + ["Cr3+", "Lu3+", 0.3452702481], + ["Lu3+", "Cr3+", 0.3452702481], + ["Cr3+", "Hf3+", 0.2789282515], + ["Hf3+", "Cr3+", 0.2789282515], + ["Cr3+", "Hf2+", 0.0669551085], + ["Hf2+", "Cr3+", 0.0669551085], + ["Cr3+", "Hf4+", 0.4994695634], + ["Hf4+", "Cr3+", 0.4994695634], + ["Cr3+", "Ta5+", 0.5072923797], + ["Ta5+", "Cr3+", 0.5072923797], + ["Cr3+", "Ta3+", 0.2515623213], + ["Ta3+", "Cr3+", 0.2515623213], + ["Cr3+", "Ta4+", 0.5133888469], + ["Ta4+", "Cr3+", 0.5133888469], + ["Cr3+", "Ta2+", 0.1254014767], + ["Ta2+", "Cr3+", 0.1254014767], + ["Cr3+", "W6+", 0.3781202684], + ["W6+", "Cr3+", 0.3781202684], + ["Cr3+", "W4+", 0.3723013742], + ["W4+", "Cr3+", 0.3723013742], + ["Cr3+", "W2+", 0.2215692269], + ["W2+", "Cr3+", 0.2215692269], + ["Cr3+", "W3+", 0.3482354413], + ["W3+", "Cr3+", 0.3482354413], + ["Cr3+", "W5+", 0.3074343363], + ["W5+", "Cr3+", 0.3074343363], + ["Cr3+", "Re5+", 0.3046419085], + ["Re5+", "Cr3+", 0.3046419085], + ["Cr3+", "Re3+", 0.3260505825], + ["Re3+", "Cr3+", 0.3260505825], + ["Cr3+", "Re6+", 0.1479733044], + ["Re6+", "Cr3+", 0.1479733044], + ["Cr3+", "Re2+", 0.1494027441], + ["Re2+", "Cr3+", 0.1494027441], + ["Cr3+", "Re4+", 0.3994572935], + ["Re4+", "Cr3+", 0.3994572935], + 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0.2639103362], + ["U5+", "Cr3+", 0.2639103362], + ["Cr3+", "Np6+", 0.2376221247], + ["Np6+", "Cr3+", 0.2376221247], + ["Cr3+", "Np4+", 0.2855801846], + ["Np4+", "Cr3+", 0.2855801846], + ["Cr3+", "Np3+", 0.2071966343], + ["Np3+", "Cr3+", 0.2071966343], + ["Cr3+", "Np7+", 0.1263667103], + ["Np7+", "Cr3+", 0.1263667103], + ["Cr3+", "Np5+", 0.499723732], + ["Np5+", "Cr3+", 0.499723732], + ["Cr3+", "Pu7+", 0.171543446], + ["Pu7+", "Cr3+", 0.171543446], + ["Cr3+", "Pu6+", 0.0469241315], + ["Pu6+", "Cr3+", 0.0469241315], + ["Cr3+", "Pu3+", 0.3080659672], + ["Pu3+", "Cr3+", 0.3080659672], + ["Cr3+", "Pu4+", 0.2201078934], + ["Pu4+", "Cr3+", 0.2201078934], + ["Cr3+", "Pu5+", 0.1324279457], + ["Pu5+", "Cr3+", 0.1324279457], + ["Cr3+", "H1+", 0.0610005054], + ["H1+", "Cr3+", 0.0610005054], + ["Cr3+", "H1-", -0.066831476], + ["H1-", "Cr3+", -0.066831476], + ["Cr3+", "Li1+", 0.5160695685], + ["Li1+", "Cr3+", 0.5160695685], + ["Cr3+", "B1+", -0.151206901], + ["B1+", "Cr3+", -0.151206901], + ["Cr3+", 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0.1153975759], + ["Cr3+", "Zr1+", 0.0227894404], + ["Zr1+", "Cr3+", 0.0227894404], + ["Cr3+", "Nb1+", 0.2927127559], + ["Nb1+", "Cr3+", 0.2927127559], + ["Cr3+", "Tc1-", -0.0683153902], + ["Tc1-", "Cr3+", -0.0683153902], + ["Cr3+", "Tc1+", 0.3279019101], + ["Tc1+", "Cr3+", 0.3279019101], + ["Cr3+", "Rh1+", 0.0353173868], + ["Rh1+", "Cr3+", 0.0353173868], + ["Cr3+", "Ag1+", 0.518000316], + ["Ag1+", "Cr3+", 0.518000316], + ["Cr3+", "In1+", -0.01786875], + ["In1+", "Cr3+", -0.01786875], + ["Cr3+", "Sb1-", -0.0455138682], + ["Sb1-", "Cr3+", -0.0455138682], + ["Cr3+", "Sb1+", 0.2651575314], + ["Sb1+", "Cr3+", 0.2651575314], + ["Cr3+", "Te1-", 0.0600989078], + ["Te1-", "Cr3+", 0.0600989078], + ["Cr3+", "Te1+", 0.1225847871], + ["Te1+", "Cr3+", 0.1225847871], + ["Cr3+", "I1-", -0.0907309463], + ["I1-", "Cr3+", -0.0907309463], + ["Cr3+", "I1+", -0.0778063953], + ["I1+", "Cr3+", -0.0778063953], + ["Cr3+", "Cs1+", 0.3156489652], + ["Cs1+", "Cr3+", 0.3156489652], + ["Cr3+", "La1+", 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0.4470878617], + ["Cr2+", "Y3+", 0.4671449466], + ["Y3+", "Cr2+", 0.4671449466], + ["Cr2+", "Y2+", 0.0971181109], + ["Y2+", "Cr2+", 0.0971181109], + ["Cr2+", "Zr2+", 0.109342924], + ["Zr2+", "Cr2+", 0.109342924], + ["Cr2+", "Zr4+", 0.43201091], + ["Zr4+", "Cr2+", 0.43201091], + ["Cr2+", "Zr3+", 0.3629083975], + ["Zr3+", "Cr2+", 0.3629083975], + ["Cr2+", "Nb5+", 0.4146958946], + ["Nb5+", "Cr2+", 0.4146958946], + ["Cr2+", "Nb3+", 0.4534619802], + ["Nb3+", "Cr2+", 0.4534619802], + ["Cr2+", "Nb4+", 0.3782510418], + ["Nb4+", "Cr2+", 0.3782510418], + ["Cr2+", "Nb2+", 0.4506852523], + ["Nb2+", "Cr2+", 0.4506852523], + ["Cr2+", "Nb7+", 0.1864615227], + ["Nb7+", "Cr2+", 0.1864615227], + ["Cr2+", "Mo3+", 0.5126149289], + ["Mo3+", "Cr2+", 0.5126149289], + ["Cr2+", "Mo4+", 0.4754040543], + ["Mo4+", "Cr2+", 0.4754040543], + ["Cr2+", "Mo6+", 0.4872622081], + ["Mo6+", "Cr2+", 0.4872622081], + ["Cr2+", "Mo5+", 0.1381968227], + ["Mo5+", "Cr2+", 0.1381968227], + ["Cr2+", "Mo2+", 0.4074827245], + ["Mo2+", "Cr2+", 0.4074827245], + ["Cr2+", "Tc4+", 0.1378588421], + ["Tc4+", "Cr2+", 0.1378588421], + ["Cr2+", "Tc3-", 0.0738278776], + ["Tc3-", "Cr2+", 0.0738278776], + ["Cr2+", "Tc3+", 0.1807797861], + ["Tc3+", "Cr2+", 0.1807797861], + ["Cr2+", "Tc7+", 0.1827392017], + ["Tc7+", "Cr2+", 0.1827392017], + ["Cr2+", "Tc5+", 0.4288471769], + ["Tc5+", "Cr2+", 0.4288471769], + ["Cr2+", "Tc6+", 0.0370756259], + ["Tc6+", "Cr2+", 0.0370756259], + ["Cr2+", "Tc2-", 0.0324924792], + ["Tc2-", "Cr2+", 0.0324924792], + ["Cr2+", "Tc2+", 0.1917666794], + ["Tc2+", "Cr2+", 0.1917666794], + ["Cr2+", "Ru2+", 0.189055775], + ["Ru2+", "Cr2+", 0.189055775], + ["Cr2+", "Ru6+", 0.1868556273], + ["Ru6+", "Cr2+", 0.1868556273], + ["Cr2+", "Ru4+", 0.4231430537], + ["Ru4+", "Cr2+", 0.4231430537], + ["Cr2+", "Ru5+", 0.4625585125], + ["Ru5+", "Cr2+", 0.4625585125], + ["Cr2+", "Ru3+", 0.2633197365], + ["Ru3+", "Cr2+", 0.2633197365], + ["Cr2+", "Rh4+", 0.1177997845], + ["Rh4+", "Cr2+", 0.1177997845], + ["Cr2+", "Rh3+", 0.3321013341], + ["Rh3+", "Cr2+", 0.3321013341], + ["Cr2+", "Pd2+", 0.3162431824], + ["Pd2+", "Cr2+", 0.3162431824], + ["Cr2+", "Pd4+", 0.0934968909], + ["Pd4+", "Cr2+", 0.0934968909], + ["Cr2+", "Pd3+", 0.2343764901], + ["Pd3+", "Cr2+", 0.2343764901], + ["Cr2+", "Ag3+", 0.1931863723], + ["Ag3+", "Cr2+", 0.1931863723], + ["Cr2+", "Ag2+", 0.1992097894], + ["Ag2+", "Cr2+", 0.1992097894], + ["Cr2+", "Cd2+", 0.4424248097], + ["Cd2+", "Cr2+", 0.4424248097], + ["Cr2+", "In3+", 0.6165959331], + ["In3+", "Cr2+", 0.6165959331], + ["Cr2+", "In2+", 0.1727300567], + ["In2+", "Cr2+", 0.1727300567], + ["Cr2+", "Sn4+", 0.3730312333], + ["Sn4+", "Cr2+", 0.3730312333], + ["Cr2+", "Sn3+", 0.2029801157], + ["Sn3+", "Cr2+", 0.2029801157], + ["Cr2+", "Sn2+", 0.3993513766], + ["Sn2+", "Cr2+", 0.3993513766], + ["Cr2+", "Sb5+", 0.33929294], + ["Sb5+", "Cr2+", 0.33929294], + ["Cr2+", "Sb2-", -0.1743211343], + ["Sb2-", "Cr2+", -0.1743211343], + ["Cr2+", "Sb3-", -0.0895070144], + ["Sb3-", "Cr2+", -0.0895070144], + ["Cr2+", "Sb3+", 0.4185243895], + ["Sb3+", "Cr2+", 0.4185243895], + ["Cr2+", "Sb4+", 0.1993905282], + ["Sb4+", "Cr2+", 0.1993905282], + ["Cr2+", "Te2-", 0.2523181409], + ["Te2-", "Cr2+", 0.2523181409], + ["Cr2+", "Te4+", 0.3850930455], + ["Te4+", "Cr2+", 0.3850930455], + ["Cr2+", "Te6+", 0.286283243], + ["Te6+", "Cr2+", 0.286283243], + ["Cr2+", "Te2+", 0.1584682129], + ["Te2+", "Cr2+", 0.1584682129], + ["Cr2+", "Te5+", 0.2573164803], + ["Te5+", "Cr2+", 0.2573164803], + ["Cr2+", "I3+", 0.0535067662], + ["I3+", "Cr2+", 0.0535067662], + ["Cr2+", "I7+", 0.2169239159], + ["I7+", "Cr2+", 0.2169239159], + ["Cr2+", "I5+", 0.1675701228], + ["I5+", "Cr2+", 0.1675701228], + ["Cr2+", "I2+", 0.2338657925], + ["I2+", "Cr2+", 0.2338657925], + ["Cr2+", "Ba2+", 0.4310420913], + ["Ba2+", "Cr2+", 0.4310420913], + ["Cr2+", "La3+", 0.4507571099], + ["La3+", "Cr2+", 0.4507571099], + ["Cr2+", "La2+", 0.2228616022], + ["La2+", "Cr2+", 0.2228616022], + ["Cr2+", "Ce3+", 0.3287209066], + ["Ce3+", "Cr2+", 0.3287209066], + ["Cr2+", "Ce2+", 0.2877262188], + ["Ce2+", "Cr2+", 0.2877262188], + ["Cr2+", "Ce4+", 0.1769604486], + ["Ce4+", "Cr2+", 0.1769604486], + ["Cr2+", "Pr3+", 0.4049700377], + ["Pr3+", "Cr2+", 0.4049700377], + ["Cr2+", "Pr4+", 0.3035652811], + ["Pr4+", "Cr2+", 0.3035652811], + ["Cr2+", "Pr2+", 0.1921484154], + ["Pr2+", "Cr2+", 0.1921484154], + ["Cr2+", "Nd3+", 0.3645389069], + ["Nd3+", "Cr2+", 0.3645389069], + ["Cr2+", "Nd2+", 0.2730687975], + ["Nd2+", "Cr2+", 0.2730687975], + ["Cr2+", "Pm3+", 0.2414949026], + ["Pm3+", "Cr2+", 0.2414949026], + ["Cr2+", "Sm3+", 0.3150800374], + ["Sm3+", "Cr2+", 0.3150800374], + ["Cr2+", "Sm2+", 0.2507889135], + ["Sm2+", "Cr2+", 0.2507889135], + ["Cr2+", "Eu2+", 0.4036039878], + ["Eu2+", "Cr2+", 0.4036039878], + ["Cr2+", "Eu3+", 0.2972312799], + ["Eu3+", "Cr2+", 0.2972312799], + ["Cr2+", "Gd2+", 0.1585324544], + ["Gd2+", "Cr2+", 0.1585324544], + ["Cr2+", "Gd3+", 0.2782528207], + ["Gd3+", "Cr2+", 0.2782528207], + ["Cr2+", "Tb3+", 0.3134538839], + ["Tb3+", "Cr2+", 0.3134538839], + ["Cr2+", "Tb2+", 0.1439638113], + ["Tb2+", "Cr2+", 0.1439638113], + ["Cr2+", "Tb4+", 0.2934504774], + ["Tb4+", "Cr2+", 0.2934504774], + ["Cr2+", "Dy3+", 0.3119630658], + ["Dy3+", "Cr2+", 0.3119630658], + ["Cr2+", "Dy2+", 0.2415326426], + ["Dy2+", "Cr2+", 0.2415326426], + ["Cr2+", "Ho3+", 0.3185116867], + ["Ho3+", "Cr2+", 0.3185116867], + ["Cr2+", "Ho2+", 0.3696769851], + ["Ho2+", "Cr2+", 0.3696769851], + ["Cr2+", "Er3+", 0.4183031779], + ["Er3+", "Cr2+", 0.4183031779], + ["Cr2+", "Tm3+", 0.3215760461], + ["Tm3+", "Cr2+", 0.3215760461], + ["Cr2+", "Tm2+", 0.256753838], + ["Tm2+", "Cr2+", 0.256753838], + ["Cr2+", "Yb3+", 0.2429674049], + ["Yb3+", "Cr2+", 0.2429674049], + ["Cr2+", "Yb2+", 0.1396627979], + ["Yb2+", "Cr2+", 0.1396627979], + ["Cr2+", "Lu3+", 0.2050354666], + ["Lu3+", "Cr2+", 0.2050354666], + ["Cr2+", "Hf3+", 0.239851767], + ["Hf3+", "Cr2+", 0.239851767], + ["Cr2+", "Hf2+", 0.1368031244], + ["Hf2+", "Cr2+", 0.1368031244], + ["Cr2+", "Hf4+", 0.4655411615], + ["Hf4+", "Cr2+", 0.4655411615], + ["Cr2+", "Ta5+", 0.5090577105], + ["Ta5+", "Cr2+", 0.5090577105], + ["Cr2+", "Ta3+", 0.224096244], + ["Ta3+", "Cr2+", 0.224096244], + ["Cr2+", "Ta4+", 0.3912640928], + ["Ta4+", "Cr2+", 0.3912640928], + ["Cr2+", "Ta2+", 0.1717377712], + ["Ta2+", "Cr2+", 0.1717377712], + ["Cr2+", "W6+", 0.3928020941], + ["W6+", "Cr2+", 0.3928020941], + ["Cr2+", "W4+", 0.5003917199], + ["W4+", "Cr2+", 0.5003917199], + ["Cr2+", "W2+", 0.3520126144], + ["W2+", "Cr2+", 0.3520126144], + ["Cr2+", "W3+", 0.4551194015], + ["W3+", "Cr2+", 0.4551194015], + ["Cr2+", "W5+", 0.29965513], + ["W5+", "Cr2+", 0.29965513], + ["Cr2+", "Re5+", 0.3727850847], + ["Re5+", "Cr2+", 0.3727850847], + ["Cr2+", "Re3+", 0.2821811972], + ["Re3+", "Cr2+", 0.2821811972], + ["Cr2+", "Re6+", 0.1121068508], + ["Re6+", "Cr2+", 0.1121068508], + ["Cr2+", "Re2+", 0.1886596794], + ["Re2+", "Cr2+", 0.1886596794], + ["Cr2+", "Re4+", 0.4953082379], + ["Re4+", "Cr2+", 0.4953082379], + ["Cr2+", "Re7+", 0.1299519313], + ["Re7+", "Cr2+", 0.1299519313], + ["Cr2+", "Os7+", 0.0778939067], + ["Os7+", "Cr2+", 0.0778939067], + ["Cr2+", "Os6+", 0.154919834], + ["Os6+", "Cr2+", 0.154919834], + ["Cr2+", "Os5+", 0.2747317012], + ["Os5+", "Cr2+", 0.2747317012], + ["Cr2+", "Os2-", -0.0192438903], + ["Os2-", "Cr2+", -0.0192438903], + ["Cr2+", "Os3+", 0.3516193099], + ["Os3+", "Cr2+", 0.3516193099], + ["Cr2+", "Os4+", 0.3188118153], + ["Os4+", "Cr2+", 0.3188118153], + ["Cr2+", "Os8+", 0.2226585808], + ["Os8+", "Cr2+", 0.2226585808], + ["Cr2+", "Os2+", 0.211717032], + ["Os2+", "Cr2+", 0.211717032], + ["Cr2+", "Ir3+", 0.2675951806], + ["Ir3+", "Cr2+", 0.2675951806], + ["Cr2+", "Ir4+", 0.2970911835], + ["Ir4+", "Cr2+", 0.2970911835], + ["Cr2+", "Ir5+", 0.2407951344], + ["Ir5+", "Cr2+", 0.2407951344], + ["Cr2+", "Ir6+", 0.0455556154], + ["Ir6+", "Cr2+", 0.0455556154], + ["Cr2+", "Pt2+", 0.3201452947], + ["Pt2+", "Cr2+", 0.3201452947], + ["Cr2+", "Pt2-", -0.0314316478], + ["Pt2-", "Cr2+", -0.0314316478], + ["Cr2+", "Pt4+", 0.4197790207], + ["Pt4+", "Cr2+", 0.4197790207], + ["Cr2+", "Pt3+", 0.3988279082], + ["Pt3+", "Cr2+", 0.3988279082], + ["Cr2+", "Pt5+", 0.2006752298], + ["Pt5+", "Cr2+", 0.2006752298], + ["Cr2+", "Pt6+", 0.1660642548], + ["Pt6+", "Cr2+", 0.1660642548], + ["Cr2+", "Au2+", 0.1506256019], + ["Au2+", "Cr2+", 0.1506256019], + ["Cr2+", "Au3+", 0.3140902693], + ["Au3+", "Cr2+", 0.3140902693], + ["Cr2+", "Au5+", 0.2071955587], + ["Au5+", "Cr2+", 0.2071955587], + ["Cr2+", "Au4+", 0.0912818663], + ["Au4+", "Cr2+", 0.0912818663], + ["Cr2+", "Hg2+", 0.2277946795], + ["Hg2+", "Cr2+", 0.2277946795], + ["Cr2+", "Tl3+", 0.3960866627], + ["Tl3+", "Cr2+", 0.3960866627], + ["Cr2+", "Tl2+", 0.3358326005], + ["Tl2+", "Cr2+", 0.3358326005], + ["Cr2+", "Pb2+", 0.5837624272], + ["Pb2+", "Cr2+", 0.5837624272], + ["Cr2+", "Pb3+", 0.1519870924], + ["Pb3+", "Cr2+", 0.1519870924], + ["Cr2+", "Pb4+", 0.1556503154], + ["Pb4+", "Cr2+", 0.1556503154], + ["Cr2+", "Bi3+", 0.5717525945], + ["Bi3+", "Cr2+", 0.5717525945], + ["Cr2+", "Bi5+", 0.2674012384], + ["Bi5+", "Cr2+", 0.2674012384], + ["Cr2+", "Bi2+", 0.2633958992], + ["Bi2+", "Cr2+", 0.2633958992], + ["Cr2+", "Bi3-", 0.1595023058], + ["Bi3-", "Cr2+", 0.1595023058], + ["Cr2+", "Bi4+", 0.2528520029], + ["Bi4+", "Cr2+", 0.2528520029], + ["Cr2+", "Ac3+", 0.2800067813], + ["Ac3+", "Cr2+", 0.2800067813], + ["Cr2+", "Th4+", 0.2605121179], + ["Th4+", "Cr2+", 0.2605121179], + ["Cr2+", "Th3+", 0.1363964614], + ["Th3+", "Cr2+", 0.1363964614], + ["Cr2+", "Pa4+", 0.1688354725], + ["Pa4+", "Cr2+", 0.1688354725], + ["Cr2+", "Pa5+", 0.2031014662], + ["Pa5+", "Cr2+", 0.2031014662], + ["Cr2+", "Pa3+", 0.021096724], + ["Pa3+", "Cr2+", 0.021096724], + ["Cr2+", "U6+", 0.3322477776], + ["U6+", "Cr2+", 0.3322477776], + ["Cr2+", "U4+", 0.167390016], + ["U4+", "Cr2+", 0.167390016], + ["Cr2+", "U3+", 0.1687918512], + ["U3+", "Cr2+", 0.1687918512], + ["Cr2+", "U2+", 0.2804046112], + ["U2+", "Cr2+", 0.2804046112], + ["Cr2+", "U5+", 0.1916125975], + ["U5+", "Cr2+", 0.1916125975], + ["Cr2+", "Np6+", 0.2240191586], + ["Np6+", "Cr2+", 0.2240191586], + ["Cr2+", "Np4+", 0.2158437835], + ["Np4+", "Cr2+", 0.2158437835], + ["Cr2+", "Np3+", 0.1083651122], + ["Np3+", "Cr2+", 0.1083651122], + ["Cr2+", "Np7+", 0.2076796922], + ["Np7+", "Cr2+", 0.2076796922], + ["Cr2+", "Np5+", 0.3676186743], + ["Np5+", "Cr2+", 0.3676186743], + ["Cr2+", "Pu7+", 0.1535245409], + ["Pu7+", "Cr2+", 0.1535245409], + ["Cr2+", "Pu6+", 0.2556018115], + ["Pu6+", "Cr2+", 0.2556018115], + ["Cr2+", "Pu3+", 0.2857340503], + ["Pu3+", "Cr2+", 0.2857340503], + ["Cr2+", "Pu4+", 0.2437169806], + ["Pu4+", "Cr2+", 0.2437169806], + ["Cr2+", "Pu5+", 0.2524845915], + ["Pu5+", "Cr2+", 0.2524845915], + ["Cr2+", "H1+", 0.1421271949], + ["H1+", "Cr2+", 0.1421271949], + ["Cr2+", "H1-", 0.1212116366], + ["H1-", "Cr2+", 0.1212116366], + ["Cr2+", "Li1+", 0.4320063325], + ["Li1+", "Cr2+", 0.4320063325], + ["Cr2+", "B1+", 0.1141035046], + ["B1+", "Cr2+", 0.1141035046], + ["Cr2+", "B1-", -0.1854194923], + ["B1-", "Cr2+", -0.1854194923], + ["Cr2+", "C1-", -0.051621285], + ["C1-", "Cr2+", -0.051621285], + ["Cr2+", "C1+", 0.3389638288], + ["C1+", "Cr2+", 0.3389638288], + ["Cr2+", "N1-", -0.0482395571], + ["N1-", "Cr2+", -0.0482395571], + ["Cr2+", "N1+", 0.1769822166], + ["N1+", "Cr2+", 0.1769822166], + ["Cr2+", "O1-", 0.0643968121], + ["O1-", "Cr2+", 0.0643968121], + ["Cr2+", "F1-", 0.1153101872], + ["F1-", "Cr2+", 0.1153101872], + ["Cr2+", "Na1+", 0.4156583894], + ["Na1+", "Cr2+", 0.4156583894], + ["Cr2+", "Si1-", -0.038516251], + ["Si1-", "Cr2+", -0.038516251], + ["Cr2+", "P1+", 0.0461631865], + ["P1+", "Cr2+", 0.0461631865], + ["Cr2+", "P1-", -0.1387015049], + ["P1-", "Cr2+", -0.1387015049], + ["Cr2+", "S1-", 0.0362130891], + ["S1-", "Cr2+", 0.0362130891], + ["Cr2+", "S1+", 0.0724335303], + ["S1+", "Cr2+", 0.0724335303], + ["Cr2+", "Cl1-", 0.0772606418], + ["Cl1-", "Cr2+", 0.0772606418], + ["Cr2+", "K1+", 0.1748798274], + ["K1+", "Cr2+", 0.1748798274], + ["Cr2+", "Sc1+", 0.2224740187], + ["Sc1+", "Cr2+", 0.2224740187], + ["Cr2+", "Mn1+", 0.4402013521], + ["Mn1+", "Cr2+", 0.4402013521], + ["Cr2+", "Fe1+", 0.3372927933], + ["Fe1+", "Cr2+", 0.3372927933], + ["Cr2+", "Co1+", 0.373153185], + ["Co1+", "Cr2+", 0.373153185], + ["Cr2+", "Ni1+", 0.3137694969], + ["Ni1+", "Cr2+", 0.3137694969], + ["Cr2+", "Cu1+", 0.3586766496], + ["Cu1+", "Cr2+", 0.3586766496], + ["Cr2+", "Ga1+", 0.2337279873], + ["Ga1+", "Cr2+", 0.2337279873], + ["Cr2+", "As1-", -0.0216481561], + ["As1-", "Cr2+", -0.0216481561], + ["Cr2+", "As1+", 0.2786769388], + ["As1+", "Cr2+", 0.2786769388], + ["Cr2+", "Se1-", -0.0126776181], + ["Se1-", "Cr2+", -0.0126776181], + ["Cr2+", "Se1+", 0.2290161697], + ["Se1+", "Cr2+", 0.2290161697], + ["Cr2+", "Br1-", 0.1068394672], + ["Br1-", "Cr2+", 0.1068394672], + ["Cr2+", "Br1+", 0.0398527219], + ["Br1+", "Cr2+", 0.0398527219], + ["Cr2+", "Rb1+", 0.2423110727], + ["Rb1+", "Cr2+", 0.2423110727], + ["Cr2+", "Y1+", 0.2096906057], + ["Y1+", "Cr2+", 0.2096906057], + ["Cr2+", "Zr1+", 0.0749323479], + ["Zr1+", "Cr2+", 0.0749323479], + ["Cr2+", "Nb1+", 0.4604784792], + ["Nb1+", "Cr2+", 0.4604784792], + ["Cr2+", "Tc1-", -0.0125545764], + ["Tc1-", "Cr2+", -0.0125545764], + ["Cr2+", "Tc1+", 0.352206181], + ["Tc1+", "Cr2+", 0.352206181], + ["Cr2+", "Rh1+", 0.1595420649], + ["Rh1+", "Cr2+", 0.1595420649], + ["Cr2+", "Ag1+", 0.5423537844], + ["Ag1+", "Cr2+", 0.5423537844], + ["Cr2+", "In1+", 0.0868661245], + ["In1+", "Cr2+", 0.0868661245], + ["Cr2+", "Sb1-", -0.0540969639], + ["Sb1-", "Cr2+", -0.0540969639], + ["Cr2+", "Sb1+", 0.198498599], + ["Sb1+", "Cr2+", 0.198498599], + ["Cr2+", "Te1-", 0.120907896], + ["Te1-", "Cr2+", 0.120907896], + ["Cr2+", "Te1+", 0.1930245588], + ["Te1+", "Cr2+", 0.1930245588], + ["Cr2+", "I1-", 0.0735965355], + ["I1-", "Cr2+", 0.0735965355], + ["Cr2+", "I1+", 0.0017037917], + ["I1+", "Cr2+", 0.0017037917], + ["Cr2+", "Cs1+", 0.1819492015], + ["Cs1+", "Cr2+", 0.1819492015], + ["Cr2+", "La1+", 0.0834544526], + ["La1+", "Cr2+", 0.0834544526], + ["Cr2+", "Tb1+", 0.0790391526], + ["Tb1+", "Cr2+", 0.0790391526], + ["Cr2+", "Ta1+", 0.2985214537], + ["Ta1+", "Cr2+", 0.2985214537], + ["Cr2+", "Os1-", 0.0691560455], + ["Os1-", "Cr2+", 0.0691560455], + ["Cr2+", "Os1+", 0.0785592343], + ["Os1+", "Cr2+", 0.0785592343], + ["Cr2+", "Pt1-", 0.0674746025], + ["Pt1-", "Cr2+", 0.0674746025], + ["Cr2+", "Pt1+", 0.1581492642], + ["Pt1+", "Cr2+", 0.1581492642], + ["Cr2+", "Au1-", -0.2382247742], + ["Au1-", "Cr2+", -0.2382247742], + ["Cr2+", "Au1+", 0.2300678082], + ["Au1+", "Cr2+", 0.2300678082], + ["Cr2+", "Hg1+", 0.3692562511], + ["Hg1+", "Cr2+", 0.3692562511], + ["Cr2+", "Tl1+", 0.4407254281], + ["Tl1+", "Cr2+", 0.4407254281], + ["Cr2+", "Bi1+", 0.1474527177], + ["Bi1+", "Cr2+", 0.1474527177], + ["Cr6+", "Cr6+", 1.0], + ["Cr6+", "Cr4+", 0.4286754411], + ["Cr4+", "Cr6+", 0.4286754411], + ["Cr6+", "Cr5+", 0.6216468078], + ["Cr5+", "Cr6+", 0.6216468078], + ["Cr6+", "Mn2+", 0.3266481112], + ["Mn2+", "Cr6+", 0.3266481112], + ["Cr6+", "Mn3+", 0.5112319624], + ["Mn3+", "Cr6+", 0.5112319624], + ["Cr6+", "Mn4+", 0.611820353], + ["Mn4+", "Cr6+", 0.611820353], + ["Cr6+", "Mn7+", 0.5261830789], + ["Mn7+", "Cr6+", 0.5261830789], + ["Cr6+", "Mn6+", 0.4420732151], + ["Mn6+", "Cr6+", 0.4420732151], + ["Cr6+", "Mn5+", 0.6059939478], + ["Mn5+", "Cr6+", 0.6059939478], + ["Cr6+", "Fe2+", 0.3270683544], + ["Fe2+", "Cr6+", 0.3270683544], + ["Cr6+", "Fe3+", 0.4400268205], + ["Fe3+", "Cr6+", 0.4400268205], + ["Cr6+", "Fe4+", 0.4311793203], + ["Fe4+", "Cr6+", 0.4311793203], + ["Cr6+", "Fe6+", 0.2273251765], + ["Fe6+", "Cr6+", 0.2273251765], + ["Cr6+", "Fe5+", 0.0673762259], + ["Fe5+", "Cr6+", 0.0673762259], + ["Cr6+", "Co2+", 0.4542550398], + ["Co2+", "Cr6+", 0.4542550398], + ["Cr6+", "Co4+", 0.5268186863], + ["Co4+", "Cr6+", 0.5268186863], + ["Cr6+", "Co3+", 0.5467272896], + ["Co3+", "Cr6+", 0.5467272896], + ["Cr6+", "Ni2+", 0.4928659655], + ["Ni2+", "Cr6+", 0.4928659655], + ["Cr6+", "Ni4+", 0.3533598673], + ["Ni4+", "Cr6+", 0.3533598673], + ["Cr6+", "Ni3+", 0.5239594761], + ["Ni3+", "Cr6+", 0.5239594761], + ["Cr6+", "Cu2+", 0.335110195], + ["Cu2+", "Cr6+", 0.335110195], + ["Cr6+", "Cu3+", 0.4508496801], + ["Cu3+", "Cr6+", 0.4508496801], + ["Cr6+", "Zn2+", 0.2676173023], + ["Zn2+", "Cr6+", 0.2676173023], + ["Cr6+", "Ga3+", 0.2526870283], + ["Ga3+", "Cr6+", 0.2526870283], + ["Cr6+", "Ga4+", 0.3225092389], + ["Ga4+", "Cr6+", 0.3225092389], + ["Cr6+", "Ga2+", -0.1039815412], + ["Ga2+", "Cr6+", -0.1039815412], + ["Cr6+", "Ge4-", 0.0881069546], + ["Ge4-", "Cr6+", 0.0881069546], + ["Cr6+", "Ge4+", 0.40013489], + ["Ge4+", "Cr6+", 0.40013489], + ["Cr6+", "Ge2-", 0.1449916532], + ["Ge2-", "Cr6+", 0.1449916532], + ["Cr6+", "Ge2+", 0.1747946056], + ["Ge2+", "Cr6+", 0.1747946056], + ["Cr6+", "Ge3+", 0.2030589171], + ["Ge3+", "Cr6+", 0.2030589171], + ["Cr6+", "As2-", 0.1438281773], + ["As2-", "Cr6+", 0.1438281773], + ["Cr6+", "As3+", -0.1473988361], + ["As3+", "Cr6+", -0.1473988361], + ["Cr6+", "As5+", 0.1953999794], + ["As5+", "Cr6+", 0.1953999794], + ["Cr6+", "As3-", 0.079402013], + ["As3-", "Cr6+", 0.079402013], + ["Cr6+", "As2+", -0.0617417095], + ["As2+", "Cr6+", -0.0617417095], + ["Cr6+", "As4+", 0.2075914178], + ["As4+", "Cr6+", 0.2075914178], + ["Cr6+", "Se2-", 0.0030529611], + ["Se2-", "Cr6+", 0.0030529611], + ["Cr6+", "Se4+", 0.5037538212], + ["Se4+", "Cr6+", 0.5037538212], + ["Cr6+", "Se6+", 0.5442404117], + ["Se6+", "Cr6+", 0.5442404117], + ["Cr6+", "Se5+", 0.5592249313], + ["Se5+", "Cr6+", 0.5592249313], + ["Cr6+", "Se2+", 0.0387487439], + ["Se2+", "Cr6+", 0.0387487439], + ["Cr6+", "Se3+", 0.4221807317], + ["Se3+", "Cr6+", 0.4221807317], + ["Cr6+", "Br2+", 0.2201028871], + ["Br2+", "Cr6+", 0.2201028871], + ["Cr6+", "Br5+", 0.4579671779], + ["Br5+", "Cr6+", 0.4579671779], + ["Cr6+", "Br3+", 0.4809911801], + ["Br3+", "Cr6+", 0.4809911801], + ["Cr6+", "Sr2+", 0.4911780523], + ["Sr2+", "Cr6+", 0.4911780523], + ["Cr6+", "Y3+", 0.2461005955], + ["Y3+", "Cr6+", 0.2461005955], + ["Cr6+", "Y2+", 0.5173198217], + ["Y2+", "Cr6+", 0.5173198217], + ["Cr6+", "Zr2+", -0.2818578101], + ["Zr2+", "Cr6+", -0.2818578101], + ["Cr6+", "Zr4+", 0.3260207996], + ["Zr4+", "Cr6+", 0.3260207996], + ["Cr6+", "Zr3+", -0.0554169481], + ["Zr3+", "Cr6+", -0.0554169481], + ["Cr6+", "Nb5+", 0.4712113105], + ["Nb5+", "Cr6+", 0.4712113105], + ["Cr6+", "Nb3+", 0.035393519], + ["Nb3+", "Cr6+", 0.035393519], + ["Cr6+", "Nb4+", 0.1448327469], + ["Nb4+", "Cr6+", 0.1448327469], + ["Cr6+", "Nb2+", -0.032749556], + ["Nb2+", "Cr6+", -0.032749556], + ["Cr6+", "Nb7+", 0.3899277602], + ["Nb7+", "Cr6+", 0.3899277602], + ["Cr6+", "Mo3+", 0.0904714288], + ["Mo3+", "Cr6+", 0.0904714288], + ["Cr6+", "Mo4+", 0.32499591], + ["Mo4+", "Cr6+", 0.32499591], + ["Cr6+", "Mo6+", 0.4359034363], + ["Mo6+", "Cr6+", 0.4359034363], + ["Cr6+", "Mo5+", 0.3680068898], + ["Mo5+", "Cr6+", 0.3680068898], + ["Cr6+", "Mo2+", -0.217119411], + ["Mo2+", "Cr6+", -0.217119411], + ["Cr6+", "Tc4+", -0.024059941], + ["Tc4+", "Cr6+", -0.024059941], + ["Cr6+", "Tc3-", -0.1068745357], + ["Tc3-", "Cr6+", -0.1068745357], + ["Cr6+", "Tc3+", -0.0708609483], + ["Tc3+", "Cr6+", -0.0708609483], + ["Cr6+", "Tc7+", 0.4721637828], + ["Tc7+", "Cr6+", 0.4721637828], + ["Cr6+", "Tc5+", 0.2166389771], + ["Tc5+", "Cr6+", 0.2166389771], + ["Cr6+", "Tc6+", 0.0803898056], + ["Tc6+", "Cr6+", 0.0803898056], + ["Cr6+", "Tc2-", -0.0351425558], + ["Tc2-", "Cr6+", -0.0351425558], + ["Cr6+", "Tc2+", 0.0122772142], + ["Tc2+", "Cr6+", 0.0122772142], + ["Cr6+", "Ru2+", 0.0243144677], + ["Ru2+", "Cr6+", 0.0243144677], + ["Cr6+", "Ru6+", 0.3245810853], + ["Ru6+", "Cr6+", 0.3245810853], + ["Cr6+", "Ru4+", 0.3135873675], + ["Ru4+", "Cr6+", 0.3135873675], + ["Cr6+", "Ru5+", 0.5579687854], + ["Ru5+", "Cr6+", 0.5579687854], + ["Cr6+", "Ru3+", 0.2584502763], + ["Ru3+", "Cr6+", 0.2584502763], + ["Cr6+", "Rh4+", 0.3272263061], + ["Rh4+", "Cr6+", 0.3272263061], + ["Cr6+", "Rh3+", 0.1368145309], + ["Rh3+", "Cr6+", 0.1368145309], + ["Cr6+", "Pd2+", 0.1082549536], + ["Pd2+", "Cr6+", 0.1082549536], + ["Cr6+", "Pd4+", 0.1175523694], + ["Pd4+", "Cr6+", 0.1175523694], + ["Cr6+", "Pd3+", 0.0367682941], + ["Pd3+", "Cr6+", 0.0367682941], + ["Cr6+", "Ag3+", 0.4643661296], + ["Ag3+", "Cr6+", 0.4643661296], + ["Cr6+", "Ag2+", 0.2153360186], + ["Ag2+", "Cr6+", 0.2153360186], + ["Cr6+", "Cd2+", 0.2148039456], + ["Cd2+", "Cr6+", 0.2148039456], + ["Cr6+", "In3+", 0.2135382157], + ["In3+", "Cr6+", 0.2135382157], + ["Cr6+", "In2+", 0.0706753574], + ["In2+", "Cr6+", 0.0706753574], + ["Cr6+", "Sn4+", 0.2255573303], + ["Sn4+", "Cr6+", 0.2255573303], + ["Cr6+", "Sn3+", 0.3168150291], + ["Sn3+", "Cr6+", 0.3168150291], + ["Cr6+", "Sn2+", 0.210642921], + ["Sn2+", "Cr6+", 0.210642921], + ["Cr6+", "Sb5+", 0.4132517688], + ["Sb5+", "Cr6+", 0.4132517688], + ["Cr6+", "Sb2-", 0.0593574058], + ["Sb2-", "Cr6+", 0.0593574058], + ["Cr6+", "Sb3-", -0.0309825453], + ["Sb3-", "Cr6+", -0.0309825453], + ["Cr6+", "Sb3+", 0.0008949797], + ["Sb3+", "Cr6+", 0.0008949797], + ["Cr6+", "Sb4+", 0.2761320562], + ["Sb4+", "Cr6+", 0.2761320562], + ["Cr6+", "Te2-", 0.1524588432], + ["Te2-", "Cr6+", 0.1524588432], + ["Cr6+", "Te4+", 0.2112399924], + ["Te4+", "Cr6+", 0.2112399924], + ["Cr6+", "Te6+", 0.3937691677], + ["Te6+", "Cr6+", 0.3937691677], + ["Cr6+", "Te2+", -0.0304398649], + ["Te2+", "Cr6+", -0.0304398649], + ["Cr6+", "Te5+", 0.2905109208], + ["Te5+", "Cr6+", 0.2905109208], + ["Cr6+", "I3+", 0.246274686], + ["I3+", "Cr6+", 0.246274686], + ["Cr6+", "I7+", 0.4214969277], + ["I7+", "Cr6+", 0.4214969277], + ["Cr6+", "I5+", 0.456196037], + ["I5+", "Cr6+", 0.456196037], + ["Cr6+", "I2+", 0.3373059934], + ["I2+", "Cr6+", 0.3373059934], + ["Cr6+", "Ba2+", 0.2924356911], + ["Ba2+", "Cr6+", 0.2924356911], + ["Cr6+", "La3+", 0.2162205048], + ["La3+", "Cr6+", 0.2162205048], + ["Cr6+", "La2+", 0.06367811], + ["La2+", "Cr6+", 0.06367811], + ["Cr6+", "Ce3+", 0.0128140737], + ["Ce3+", "Cr6+", 0.0128140737], + ["Cr6+", "Ce2+", -0.134634478], + ["Ce2+", "Cr6+", -0.134634478], + ["Cr6+", "Ce4+", 0.3377209641], + ["Ce4+", "Cr6+", 0.3377209641], + ["Cr6+", "Pr3+", 0.0425982645], + ["Pr3+", "Cr6+", 0.0425982645], + ["Cr6+", "Pr4+", 0.4035859479], + ["Pr4+", "Cr6+", 0.4035859479], + ["Cr6+", "Pr2+", -0.0205113806], + ["Pr2+", "Cr6+", -0.0205113806], + ["Cr6+", "Nd3+", 0.1272305702], + ["Nd3+", "Cr6+", 0.1272305702], + ["Cr6+", "Nd2+", 0.0437816352], + ["Nd2+", "Cr6+", 0.0437816352], + ["Cr6+", "Pm3+", -0.0152765896], + ["Pm3+", "Cr6+", -0.0152765896], + ["Cr6+", "Sm3+", 0.1445496633], + ["Sm3+", "Cr6+", 0.1445496633], + ["Cr6+", "Sm2+", -0.2636478156], + ["Sm2+", "Cr6+", -0.2636478156], + ["Cr6+", "Eu2+", 0.1759120296], + ["Eu2+", "Cr6+", 0.1759120296], + ["Cr6+", "Eu3+", 0.4164670097], + ["Eu3+", "Cr6+", 0.4164670097], + ["Cr6+", "Gd2+", -0.0914222589], + ["Gd2+", "Cr6+", -0.0914222589], + ["Cr6+", "Gd3+", 0.1189954405], + ["Gd3+", "Cr6+", 0.1189954405], + ["Cr6+", "Tb3+", 0.0213179194], + ["Tb3+", "Cr6+", 0.0213179194], + ["Cr6+", "Tb2+", -0.1513970764], + ["Tb2+", "Cr6+", -0.1513970764], + ["Cr6+", "Tb4+", 0.3223923464], + ["Tb4+", "Cr6+", 0.3223923464], + ["Cr6+", "Dy3+", -0.0364053173], + ["Dy3+", "Cr6+", -0.0364053173], + ["Cr6+", "Dy2+", -0.0362367872], + ["Dy2+", "Cr6+", -0.0362367872], + ["Cr6+", "Ho3+", 0.0484860329], + ["Ho3+", "Cr6+", 0.0484860329], + ["Cr6+", "Ho2+", -0.0219382529], + ["Ho2+", "Cr6+", -0.0219382529], + ["Cr6+", "Er3+", 0.08225154], + ["Er3+", "Cr6+", 0.08225154], + ["Cr6+", "Tm3+", 0.0581854366], + ["Tm3+", "Cr6+", 0.0581854366], + ["Cr6+", "Tm2+", -0.0970733379], + ["Tm2+", "Cr6+", -0.0970733379], + ["Cr6+", "Yb3+", 0.1804184392], + ["Yb3+", "Cr6+", 0.1804184392], + ["Cr6+", "Yb2+", -0.2865088382], + ["Yb2+", "Cr6+", -0.2865088382], + ["Cr6+", "Lu3+", 0.0264995495], + ["Lu3+", "Cr6+", 0.0264995495], + ["Cr6+", "Hf3+", 0.0983139048], + ["Hf3+", "Cr6+", 0.0983139048], + ["Cr6+", "Hf2+", 0.2712436854], + ["Hf2+", "Cr6+", 0.2712436854], + ["Cr6+", "Hf4+", 0.4842181497], + ["Hf4+", "Cr6+", 0.4842181497], + ["Cr6+", "Ta5+", 0.4984600338], + ["Ta5+", "Cr6+", 0.4984600338], + ["Cr6+", "Ta3+", -0.0909207729], + ["Ta3+", "Cr6+", -0.0909207729], + ["Cr6+", "Ta4+", 0.0763992001], + ["Ta4+", "Cr6+", 0.0763992001], + ["Cr6+", "Ta2+", -0.2113900579], + ["Ta2+", "Cr6+", -0.2113900579], + ["Cr6+", "W6+", 0.6090674813], + ["W6+", "Cr6+", 0.6090674813], + ["Cr6+", "W4+", 0.2179480365], + ["W4+", "Cr6+", 0.2179480365], + ["Cr6+", "W2+", -0.2025689165], + ["W2+", "Cr6+", -0.2025689165], + ["Cr6+", "W3+", 0.0749482533], + ["W3+", "Cr6+", 0.0749482533], + ["Cr6+", "W5+", 0.2449216017], + ["W5+", "Cr6+", 0.2449216017], + ["Cr6+", "Re5+", 0.3122298891], + ["Re5+", "Cr6+", 0.3122298891], + ["Cr6+", "Re3+", -0.2206913913], + ["Re3+", "Cr6+", -0.2206913913], + ["Cr6+", "Re6+", 0.3262877159], + ["Re6+", "Cr6+", 0.3262877159], + ["Cr6+", "Re2+", 0.1401956684], + ["Re2+", "Cr6+", 0.1401956684], + ["Cr6+", "Re4+", 0.02969727], + ["Re4+", "Cr6+", 0.02969727], + ["Cr6+", "Re7+", 0.1846041879], + ["Re7+", "Cr6+", 0.1846041879], + ["Cr6+", "Os7+", 0.3871331305], + ["Os7+", "Cr6+", 0.3871331305], + ["Cr6+", "Os6+", 0.340514979], + ["Os6+", "Cr6+", 0.340514979], + ["Cr6+", "Os5+", 0.4596030947], + ["Os5+", "Cr6+", 0.4596030947], + ["Cr6+", "Os2-", -0.2452371722], + ["Os2-", "Cr6+", -0.2452371722], + ["Cr6+", "Os3+", 0.2177679767], + ["Os3+", "Cr6+", 0.2177679767], + ["Cr6+", "Os4+", 0.1511389343], + ["Os4+", "Cr6+", 0.1511389343], + ["Cr6+", "Os8+", 0.1511601542], + ["Os8+", "Cr6+", 0.1511601542], + ["Cr6+", "Os2+", 0.0996203534], + ["Os2+", "Cr6+", 0.0996203534], + ["Cr6+", "Ir3+", 0.0567536643], + ["Ir3+", "Cr6+", 0.0567536643], + ["Cr6+", "Ir4+", 0.2871041624], + ["Ir4+", "Cr6+", 0.2871041624], + ["Cr6+", "Ir5+", 0.2243022571], + ["Ir5+", "Cr6+", 0.2243022571], + ["Cr6+", "Ir6+", 0.3085646563], + ["Ir6+", "Cr6+", 0.3085646563], + ["Cr6+", "Pt2+", -0.0542412781], + ["Pt2+", "Cr6+", -0.0542412781], + ["Cr6+", "Pt2-", -0.1939877239], + ["Pt2-", "Cr6+", -0.1939877239], + ["Cr6+", "Pt4+", 0.2956545551], + ["Pt4+", "Cr6+", 0.2956545551], + ["Cr6+", "Pt3+", 0.2858180489], + ["Pt3+", "Cr6+", 0.2858180489], + ["Cr6+", "Pt5+", 0.014177708], + ["Pt5+", "Cr6+", 0.014177708], + ["Cr6+", "Pt6+", 0.2806754323], + ["Pt6+", "Cr6+", 0.2806754323], + ["Cr6+", "Au2+", -0.1229041487], + ["Au2+", "Cr6+", -0.1229041487], + ["Cr6+", "Au3+", 0.1006710504], + ["Au3+", "Cr6+", 0.1006710504], + ["Cr6+", "Au5+", -0.0686008545], + ["Au5+", "Cr6+", -0.0686008545], + ["Cr6+", "Au4+", -0.1593460596], + ["Au4+", "Cr6+", -0.1593460596], + ["Cr6+", "Hg2+", -0.0384239317], + ["Hg2+", "Cr6+", -0.0384239317], + ["Cr6+", "Tl3+", 0.0966567433], + ["Tl3+", "Cr6+", 0.0966567433], + ["Cr6+", "Tl2+", 0.1647753152], + ["Tl2+", "Cr6+", 0.1647753152], + ["Cr6+", "Pb2+", 0.2305211949], + ["Pb2+", "Cr6+", 0.2305211949], + ["Cr6+", "Pb3+", 0.1928024744], + ["Pb3+", "Cr6+", 0.1928024744], + ["Cr6+", "Pb4+", 0.2915387702], + ["Pb4+", "Cr6+", 0.2915387702], + ["Cr6+", "Bi3+", 0.2634797327], + ["Bi3+", "Cr6+", 0.2634797327], + ["Cr6+", "Bi5+", 0.3568208126], + ["Bi5+", "Cr6+", 0.3568208126], + ["Cr6+", "Bi2+", 0.0112981236], + ["Bi2+", "Cr6+", 0.0112981236], + ["Cr6+", "Bi3-", 0.0591988229], + ["Bi3-", "Cr6+", 0.0591988229], + ["Cr6+", "Bi4+", 0.4157364468], + ["Bi4+", "Cr6+", 0.4157364468], + ["Cr6+", "Ac3+", -0.1552184946], + ["Ac3+", "Cr6+", -0.1552184946], + ["Cr6+", "Th4+", 0.1377184585], + ["Th4+", "Cr6+", 0.1377184585], + ["Cr6+", "Th3+", -0.258768866], + ["Th3+", "Cr6+", -0.258768866], + ["Cr6+", "Pa4+", 0.0552797693], + ["Pa4+", "Cr6+", 0.0552797693], + ["Cr6+", "Pa5+", 0.1932838908], + ["Pa5+", "Cr6+", 0.1932838908], + ["Cr6+", "Pa3+", -0.1056584127], + ["Pa3+", "Cr6+", -0.1056584127], + ["Cr6+", "U6+", 0.3298140723], + ["U6+", "Cr6+", 0.3298140723], + ["Cr6+", "U4+", -0.186796109], + ["U4+", "Cr6+", -0.186796109], + ["Cr6+", "U3+", -0.2890371495], + ["U3+", "Cr6+", -0.2890371495], + ["Cr6+", "U2+", -0.1521508391], + ["U2+", "Cr6+", -0.1521508391], + ["Cr6+", "U5+", 0.2614527506], + ["U5+", "Cr6+", 0.2614527506], + ["Cr6+", "Np6+", 0.3162771429], + ["Np6+", "Cr6+", 0.3162771429], + ["Cr6+", "Np4+", -0.0035562462], + ["Np4+", "Cr6+", -0.0035562462], + ["Cr6+", "Np3+", -0.2647168077], + ["Np3+", "Cr6+", -0.2647168077], + ["Cr6+", "Np7+", 0.3293610068], + ["Np7+", "Cr6+", 0.3293610068], + ["Cr6+", "Np5+", 0.177459775], + ["Np5+", "Cr6+", 0.177459775], + ["Cr6+", "Pu7+", 0.5578698266], + ["Pu7+", "Cr6+", 0.5578698266], + ["Cr6+", "Pu6+", 0.0882010414], + ["Pu6+", "Cr6+", 0.0882010414], + ["Cr6+", "Pu3+", -0.1465106311], + ["Pu3+", "Cr6+", -0.1465106311], + ["Cr6+", "Pu4+", 0.1529710842], + ["Pu4+", "Cr6+", 0.1529710842], + ["Cr6+", "Pu5+", 0.1024699522], + ["Pu5+", "Cr6+", 0.1024699522], + ["Cr6+", "H1+", 0.5285853774], + ["H1+", "Cr6+", 0.5285853774], + ["Cr6+", "H1-", 0.2081713848], + ["H1-", "Cr6+", 0.2081713848], + ["Cr6+", "Li1+", 0.4933170404], + ["Li1+", "Cr6+", 0.4933170404], + ["Cr6+", "B1+", -0.1960262816], + ["B1+", "Cr6+", -0.1960262816], + ["Cr6+", "B1-", 0.0540730264], + ["B1-", "Cr6+", 0.0540730264], + ["Cr6+", "C1-", 0.3102540176], + ["C1-", "Cr6+", 0.3102540176], + ["Cr6+", "C1+", 0.3771796259], + ["C1+", "Cr6+", 0.3771796259], + ["Cr6+", "N1-", 0.1627881855], + ["N1-", "Cr6+", 0.1627881855], + ["Cr6+", "N1+", 0.1020352589], + ["N1+", "Cr6+", 0.1020352589], + ["Cr6+", "O1-", 0.2667045664], + ["O1-", "Cr6+", 0.2667045664], + ["Cr6+", "F1-", -0.0324100611], + ["F1-", "Cr6+", -0.0324100611], + ["Cr6+", "Na1+", 0.4974673445], + ["Na1+", "Cr6+", 0.4974673445], + ["Cr6+", "Si1-", -0.0658255674], + ["Si1-", "Cr6+", -0.0658255674], + ["Cr6+", "P1+", -0.1186778631], + ["P1+", "Cr6+", -0.1186778631], + ["Cr6+", "P1-", 0.0751162601], + ["P1-", "Cr6+", 0.0751162601], + ["Cr6+", "S1-", 0.0218142108], + ["S1-", "Cr6+", 0.0218142108], + ["Cr6+", "S1+", 0.1879475973], + ["S1+", "Cr6+", 0.1879475973], + ["Cr6+", "Cl1-", 0.0881307756], + ["Cl1-", "Cr6+", 0.0881307756], + ["Cr6+", "K1+", 0.2422419421], + ["K1+", "Cr6+", 0.2422419421], + ["Cr6+", "Sc1+", -0.0753740834], + ["Sc1+", "Cr6+", -0.0753740834], + ["Cr6+", "Mn1+", 0.3160303374], + ["Mn1+", "Cr6+", 0.3160303374], + ["Cr6+", "Fe1+", 0.0930691489], + ["Fe1+", "Cr6+", 0.0930691489], + ["Cr6+", "Co1+", 0.1497544162], + ["Co1+", "Cr6+", 0.1497544162], + ["Cr6+", "Ni1+", -0.0291673621], + ["Ni1+", "Cr6+", -0.0291673621], + ["Cr6+", "Cu1+", -0.0682754695], + ["Cu1+", "Cr6+", -0.0682754695], + ["Cr6+", "Ga1+", 0.0062717693], + ["Ga1+", "Cr6+", 0.0062717693], + ["Cr6+", "As1-", 0.0013125994], + ["As1-", "Cr6+", 0.0013125994], + ["Cr6+", "As1+", 0.0595000907], + ["As1+", "Cr6+", 0.0595000907], + ["Cr6+", "Se1-", -0.112748907], + ["Se1-", "Cr6+", -0.112748907], + ["Cr6+", "Se1+", 0.3500710222], + ["Se1+", "Cr6+", 0.3500710222], + ["Cr6+", "Br1-", 0.0794913797], + ["Br1-", "Cr6+", 0.0794913797], + ["Cr6+", "Br1+", 0.3484972478], + ["Br1+", "Cr6+", 0.3484972478], + ["Cr6+", "Rb1+", 0.1113110339], + ["Rb1+", "Cr6+", 0.1113110339], + ["Cr6+", "Y1+", 0.0545487975], + ["Y1+", "Cr6+", 0.0545487975], + ["Cr6+", "Zr1+", -0.2995054588], + ["Zr1+", "Cr6+", -0.2995054588], + ["Cr6+", "Nb1+", 0.0557253772], + ["Nb1+", "Cr6+", 0.0557253772], + ["Cr6+", "Tc1-", -0.0980768801], + ["Tc1-", "Cr6+", -0.0980768801], + ["Cr6+", "Tc1+", 0.0076599228], + ["Tc1+", "Cr6+", 0.0076599228], + ["Cr6+", "Rh1+", -0.0689079402], + ["Rh1+", "Cr6+", -0.0689079402], + ["Cr6+", "Ag1+", 0.1624673274], + ["Ag1+", "Cr6+", 0.1624673274], + ["Cr6+", "In1+", 0.0156425878], + ["In1+", "Cr6+", 0.0156425878], + ["Cr6+", "Sb1-", -0.164669833], + ["Sb1-", "Cr6+", -0.164669833], + ["Cr6+", "Sb1+", 0.0477847389], + ["Sb1+", "Cr6+", 0.0477847389], + ["Cr6+", "Te1-", -0.0876760536], + ["Te1-", "Cr6+", -0.0876760536], + ["Cr6+", "Te1+", 0.0403278779], + ["Te1+", "Cr6+", 0.0403278779], + ["Cr6+", "I1-", 0.1725712032], + ["I1-", "Cr6+", 0.1725712032], + ["Cr6+", "I1+", 0.3413456303], + ["I1+", "Cr6+", 0.3413456303], + ["Cr6+", "Cs1+", 0.0100733478], + ["Cs1+", "Cr6+", 0.0100733478], + ["Cr6+", "La1+", -0.2708970598], + ["La1+", "Cr6+", -0.2708970598], + ["Cr6+", "Tb1+", -0.2072341883], + ["Tb1+", "Cr6+", -0.2072341883], + ["Cr6+", "Ta1+", -0.0667356733], + ["Ta1+", "Cr6+", -0.0667356733], + ["Cr6+", "Os1-", -0.1330963405], + ["Os1-", "Cr6+", -0.1330963405], + ["Cr6+", "Os1+", -0.0228929491], + ["Os1+", "Cr6+", -0.0228929491], + ["Cr6+", "Pt1-", -0.1312774138], + ["Pt1-", "Cr6+", -0.1312774138], + ["Cr6+", "Pt1+", 0.0684077817], + ["Pt1+", "Cr6+", 0.0684077817], + ["Cr6+", "Au1-", -0.2222993791], + ["Au1-", "Cr6+", -0.2222993791], + ["Cr6+", "Au1+", -0.1093828996], + ["Au1+", "Cr6+", -0.1093828996], + ["Cr6+", "Hg1+", 0.1730419497], + ["Hg1+", "Cr6+", 0.1730419497], + ["Cr6+", "Tl1+", 0.0919996394], + ["Tl1+", "Cr6+", 0.0919996394], + ["Cr6+", "Bi1+", -0.1621271535], + ["Bi1+", "Cr6+", -0.1621271535], + ["Cr4+", "Cr4+", 1.0], + ["Cr4+", "Cr5+", 0.4552409443], + ["Cr5+", "Cr4+", 0.4552409443], + ["Cr4+", "Mn2+", 0.4939109743], + ["Mn2+", "Cr4+", 0.4939109743], + ["Cr4+", "Mn3+", 0.5813003511], + ["Mn3+", "Cr4+", 0.5813003511], + ["Cr4+", "Mn4+", 0.5245862362], + ["Mn4+", "Cr4+", 0.5245862362], + ["Cr4+", "Mn7+", 0.2783106276], + ["Mn7+", "Cr4+", 0.2783106276], + ["Cr4+", "Mn6+", 0.3181653037], + ["Mn6+", "Cr4+", 0.3181653037], + ["Cr4+", "Mn5+", 0.4105378226], + ["Mn5+", "Cr4+", 0.4105378226], + ["Cr4+", "Fe2+", 0.380445731], + ["Fe2+", "Cr4+", 0.380445731], + ["Cr4+", "Fe3+", 0.5835142072], + ["Fe3+", "Cr4+", 0.5835142072], + ["Cr4+", "Fe4+", 0.5014538972], + ["Fe4+", "Cr4+", 0.5014538972], + ["Cr4+", "Fe6+", 0.1731790839], + ["Fe6+", "Cr4+", 0.1731790839], + ["Cr4+", "Fe5+", 0.3963162623], + ["Fe5+", "Cr4+", 0.3963162623], + ["Cr4+", "Co2+", 0.3974116382], + ["Co2+", "Cr4+", 0.3974116382], + ["Cr4+", "Co4+", 0.5382381769], + ["Co4+", "Cr4+", 0.5382381769], + ["Cr4+", "Co3+", 0.5723641428], + ["Co3+", "Cr4+", 0.5723641428], + ["Cr4+", "Ni2+", 0.4355381424], + ["Ni2+", "Cr4+", 0.4355381424], + ["Cr4+", "Ni4+", 0.4986283825], + ["Ni4+", "Cr4+", 0.4986283825], + ["Cr4+", "Ni3+", 0.6689648658], + ["Ni3+", "Cr4+", 0.6689648658], + ["Cr4+", "Cu2+", 0.4147122422], + ["Cu2+", "Cr4+", 0.4147122422], + ["Cr4+", "Cu3+", 0.2350953674], + ["Cu3+", "Cr4+", 0.2350953674], + ["Cr4+", "Zn2+", 0.4112436918], + ["Zn2+", "Cr4+", 0.4112436918], + ["Cr4+", "Ga3+", 0.3959672721], + ["Ga3+", "Cr4+", 0.3959672721], + ["Cr4+", "Ga4+", 0.2324477562], + ["Ga4+", "Cr4+", 0.2324477562], + ["Cr4+", "Ga2+", -0.063865908], + ["Ga2+", "Cr4+", -0.063865908], + ["Cr4+", "Ge4-", -0.0134663638], + ["Ge4-", "Cr4+", -0.0134663638], + ["Cr4+", "Ge4+", 0.5135905024], + ["Ge4+", "Cr4+", 0.5135905024], + ["Cr4+", "Ge2-", -0.044684938], + ["Ge2-", "Cr4+", -0.044684938], + ["Cr4+", "Ge2+", 0.1151077325], + ["Ge2+", "Cr4+", 0.1151077325], + ["Cr4+", "Ge3+", 0.2649436613], + ["Ge3+", "Cr4+", 0.2649436613], + ["Cr4+", "As2-", -0.1645845851], + ["As2-", "Cr4+", -0.1645845851], + ["Cr4+", "As3+", 0.114196981], + ["As3+", "Cr4+", 0.114196981], + ["Cr4+", "As5+", 0.3332268261], + ["As5+", "Cr4+", 0.3332268261], + ["Cr4+", "As3-", -0.2088547894], + ["As3-", "Cr4+", -0.2088547894], + ["Cr4+", "As2+", 0.4112629242], + ["As2+", "Cr4+", 0.4112629242], + ["Cr4+", "As4+", 0.2354491224], + ["As4+", "Cr4+", 0.2354491224], + ["Cr4+", "Se2-", -0.0270977338], + ["Se2-", "Cr4+", -0.0270977338], + ["Cr4+", "Se4+", 0.1579239458], + ["Se4+", "Cr4+", 0.1579239458], + ["Cr4+", "Se6+", 0.3713090699], + ["Se6+", "Cr4+", 0.3713090699], + ["Cr4+", "Se5+", 0.2982639021], + ["Se5+", "Cr4+", 0.2982639021], + ["Cr4+", "Se2+", -0.0867051027], + ["Se2+", "Cr4+", -0.0867051027], + ["Cr4+", "Se3+", 0.0580450457], + ["Se3+", "Cr4+", 0.0580450457], + ["Cr4+", "Br2+", 0.2084919966], + ["Br2+", "Cr4+", 0.2084919966], + ["Cr4+", "Br5+", 0.2050945894], + ["Br5+", "Cr4+", 0.2050945894], + ["Cr4+", "Br3+", 0.1747366602], + ["Br3+", "Cr4+", 0.1747366602], + ["Cr4+", "Sr2+", 0.3384066006], + ["Sr2+", "Cr4+", 0.3384066006], + ["Cr4+", "Y3+", 0.4100337586], + ["Y3+", "Cr4+", 0.4100337586], + ["Cr4+", "Y2+", 0.1921394397], + ["Y2+", "Cr4+", 0.1921394397], + ["Cr4+", "Zr2+", -0.3151446351], + ["Zr2+", "Cr4+", -0.3151446351], + ["Cr4+", "Zr4+", 0.5978176242], + ["Zr4+", "Cr4+", 0.5978176242], + ["Cr4+", "Zr3+", -0.0234173418], + ["Zr3+", "Cr4+", -0.0234173418], + ["Cr4+", "Nb5+", 0.4865518692], + ["Nb5+", "Cr4+", 0.4865518692], + ["Cr4+", "Nb3+", 0.1728699014], + ["Nb3+", "Cr4+", 0.1728699014], + ["Cr4+", "Nb4+", 0.388612894], + ["Nb4+", "Cr4+", 0.388612894], + ["Cr4+", "Nb2+", -0.0090359962], + ["Nb2+", "Cr4+", -0.0090359962], + ["Cr4+", "Nb7+", 0.1700074397], + ["Nb7+", "Cr4+", 0.1700074397], + ["Cr4+", "Mo3+", 0.2075930321], + ["Mo3+", "Cr4+", 0.2075930321], + ["Cr4+", "Mo4+", 0.4156505595], + ["Mo4+", "Cr4+", 0.4156505595], + ["Cr4+", "Mo6+", 0.5009564421], + ["Mo6+", "Cr4+", 0.5009564421], + ["Cr4+", "Mo5+", 0.146156426], + ["Mo5+", "Cr4+", 0.146156426], + ["Cr4+", "Mo2+", 0.0503126035], + ["Mo2+", "Cr4+", 0.0503126035], + ["Cr4+", "Tc4+", 0.0903816645], + ["Tc4+", "Cr4+", 0.0903816645], + ["Cr4+", "Tc3-", -0.0596199913], + ["Tc3-", "Cr4+", -0.0596199913], + ["Cr4+", "Tc3+", 0.0960442442], + ["Tc3+", "Cr4+", 0.0960442442], + ["Cr4+", "Tc7+", 0.2859013046], + ["Tc7+", "Cr4+", 0.2859013046], + ["Cr4+", "Tc5+", 0.1963775155], + ["Tc5+", "Cr4+", 0.1963775155], + ["Cr4+", "Tc6+", 0.1312327352], + ["Tc6+", "Cr4+", 0.1312327352], + ["Cr4+", "Tc2-", 0.0949391031], + ["Tc2-", "Cr4+", 0.0949391031], + ["Cr4+", "Tc2+", -0.0761809237], + ["Tc2+", "Cr4+", -0.0761809237], + ["Cr4+", "Ru2+", -0.0493554801], + ["Ru2+", "Cr4+", -0.0493554801], + ["Cr4+", "Ru6+", 0.0915454211], + ["Ru6+", "Cr4+", 0.0915454211], + ["Cr4+", "Ru4+", 0.2659154795], + ["Ru4+", "Cr4+", 0.2659154795], + ["Cr4+", "Ru5+", 0.2891534416], + ["Ru5+", "Cr4+", 0.2891534416], + ["Cr4+", "Ru3+", 0.1716448337], + ["Ru3+", "Cr4+", 0.1716448337], + ["Cr4+", "Rh4+", 0.2953738314], + ["Rh4+", "Cr4+", 0.2953738314], + ["Cr4+", "Rh3+", 0.2205637951], + ["Rh3+", "Cr4+", 0.2205637951], + ["Cr4+", "Pd2+", 0.1823470096], + ["Pd2+", "Cr4+", 0.1823470096], + ["Cr4+", "Pd4+", 0.207454812], + ["Pd4+", "Cr4+", 0.207454812], + ["Cr4+", "Pd3+", 0.3031375469], + ["Pd3+", "Cr4+", 0.3031375469], + ["Cr4+", "Ag3+", 0.4281994065], + ["Ag3+", "Cr4+", 0.4281994065], + ["Cr4+", "Ag2+", 0.350354825], + ["Ag2+", "Cr4+", 0.350354825], + ["Cr4+", "Cd2+", 0.1255273172], + ["Cd2+", "Cr4+", 0.1255273172], + ["Cr4+", "In3+", 0.3836752289], + ["In3+", "Cr4+", 0.3836752289], + ["Cr4+", "In2+", 0.0803075932], + ["In2+", "Cr4+", 0.0803075932], + ["Cr4+", "Sn4+", 0.2965101476], + ["Sn4+", "Cr4+", 0.2965101476], + ["Cr4+", "Sn3+", 0.3561842119], + ["Sn3+", "Cr4+", 0.3561842119], + ["Cr4+", "Sn2+", 0.2773140079], + ["Sn2+", "Cr4+", 0.2773140079], + ["Cr4+", "Sb5+", 0.2993923033], + ["Sb5+", "Cr4+", 0.2993923033], + ["Cr4+", "Sb2-", -0.0225690503], + ["Sb2-", "Cr4+", -0.0225690503], + ["Cr4+", "Sb3-", -0.2055768178], + ["Sb3-", "Cr4+", -0.2055768178], + ["Cr4+", "Sb3+", 0.3705148508], + ["Sb3+", "Cr4+", 0.3705148508], + ["Cr4+", "Sb4+", 0.2279037589], + ["Sb4+", "Cr4+", 0.2279037589], + ["Cr4+", "Te2-", -0.0068816536], + ["Te2-", "Cr4+", -0.0068816536], + ["Cr4+", "Te4+", 0.2260332943], + ["Te4+", "Cr4+", 0.2260332943], + ["Cr4+", "Te6+", 0.4234588275], + ["Te6+", "Cr4+", 0.4234588275], + ["Cr4+", "Te2+", -0.1695458823], + ["Te2+", "Cr4+", -0.1695458823], + ["Cr4+", "Te5+", 0.2912790976], + ["Te5+", "Cr4+", 0.2912790976], + ["Cr4+", "I3+", -0.0503423006], + ["I3+", "Cr4+", -0.0503423006], + ["Cr4+", "I7+", 0.4379219834], + ["I7+", "Cr4+", 0.4379219834], + ["Cr4+", "I5+", 0.2004604119], + ["I5+", "Cr4+", 0.2004604119], + ["Cr4+", "I2+", 0.2874826828], + ["I2+", "Cr4+", 0.2874826828], + ["Cr4+", "Ba2+", 0.4807396155], + ["Ba2+", "Cr4+", 0.4807396155], + ["Cr4+", "La3+", 0.3567944294], + ["La3+", "Cr4+", 0.3567944294], + ["Cr4+", "La2+", 0.0182335906], + ["La2+", "Cr4+", 0.0182335906], + ["Cr4+", "Ce3+", 0.2436953356], + ["Ce3+", "Cr4+", 0.2436953356], + ["Cr4+", "Ce2+", 0.1319625822], + ["Ce2+", "Cr4+", 0.1319625822], + ["Cr4+", "Ce4+", 0.3278670521], + ["Ce4+", "Cr4+", 0.3278670521], + ["Cr4+", "Pr3+", 0.2627273361], + ["Pr3+", "Cr4+", 0.2627273361], + ["Cr4+", "Pr4+", 0.4015649697], + ["Pr4+", "Cr4+", 0.4015649697], + ["Cr4+", "Pr2+", 0.1214111821], + ["Pr2+", "Cr4+", 0.1214111821], + ["Cr4+", "Nd3+", 0.3202819497], + ["Nd3+", "Cr4+", 0.3202819497], + ["Cr4+", "Nd2+", 0.0082173091], + ["Nd2+", "Cr4+", 0.0082173091], + ["Cr4+", "Pm3+", 0.3436144638], + ["Pm3+", "Cr4+", 0.3436144638], + ["Cr4+", "Sm3+", 0.4110915677], + ["Sm3+", "Cr4+", 0.4110915677], + ["Cr4+", "Sm2+", -0.0267221974], + ["Sm2+", "Cr4+", -0.0267221974], + ["Cr4+", "Eu2+", 0.2074791619], + ["Eu2+", "Cr4+", 0.2074791619], + ["Cr4+", "Eu3+", 0.2848944339], + ["Eu3+", "Cr4+", 0.2848944339], + ["Cr4+", "Gd2+", -0.0249486617], + ["Gd2+", "Cr4+", -0.0249486617], + ["Cr4+", "Gd3+", 0.317495295], + ["Gd3+", "Cr4+", 0.317495295], + ["Cr4+", "Tb3+", 0.3954055228], + ["Tb3+", "Cr4+", 0.3954055228], + ["Cr4+", "Tb2+", 0.0049305257], + ["Tb2+", "Cr4+", 0.0049305257], + ["Cr4+", "Tb4+", 0.4333255728], + ["Tb4+", "Cr4+", 0.4333255728], + ["Cr4+", "Dy3+", 0.3489573098], + ["Dy3+", "Cr4+", 0.3489573098], + ["Cr4+", "Dy2+", -0.1123699328], + ["Dy2+", "Cr4+", -0.1123699328], + ["Cr4+", "Ho3+", 0.3678057237], + ["Ho3+", "Cr4+", 0.3678057237], + ["Cr4+", "Ho2+", 0.007613164], + ["Ho2+", "Cr4+", 0.007613164], + ["Cr4+", "Er3+", 0.368037937], + ["Er3+", "Cr4+", 0.368037937], + ["Cr4+", "Tm3+", 0.406864299], + ["Tm3+", "Cr4+", 0.406864299], + ["Cr4+", "Tm2+", -0.1377837327], + ["Tm2+", "Cr4+", -0.1377837327], + ["Cr4+", "Yb3+", 0.3887093365], + ["Yb3+", "Cr4+", 0.3887093365], + ["Cr4+", "Yb2+", -0.0105695382], + ["Yb2+", "Cr4+", -0.0105695382], + ["Cr4+", "Lu3+", 0.3331846222], + ["Lu3+", "Cr4+", 0.3331846222], + ["Cr4+", "Hf3+", 0.168152157], + ["Hf3+", "Cr4+", 0.168152157], + ["Cr4+", "Hf2+", 0.0521276737], + ["Hf2+", "Cr4+", 0.0521276737], + ["Cr4+", "Hf4+", 0.5865799016], + ["Hf4+", "Cr4+", 0.5865799016], + ["Cr4+", "Ta5+", 0.5151487881], + ["Ta5+", "Cr4+", 0.5151487881], + ["Cr4+", "Ta3+", 0.1162502167], + ["Ta3+", "Cr4+", 0.1162502167], + ["Cr4+", "Ta4+", 0.3447854494], + ["Ta4+", "Cr4+", 0.3447854494], + ["Cr4+", "Ta2+", -0.0300061252], + ["Ta2+", "Cr4+", -0.0300061252], + ["Cr4+", "W6+", 0.3636358057], + ["W6+", "Cr4+", 0.3636358057], + ["Cr4+", "W4+", 0.3148634934], + ["W4+", "Cr4+", 0.3148634934], + ["Cr4+", "W2+", 0.0099002639], + ["W2+", "Cr4+", 0.0099002639], + ["Cr4+", "W3+", 0.2172461846], + ["W3+", "Cr4+", 0.2172461846], + ["Cr4+", "W5+", 0.1624714432], + ["W5+", "Cr4+", 0.1624714432], + ["Cr4+", "Re5+", 0.3019844094], + ["Re5+", "Cr4+", 0.3019844094], + ["Cr4+", "Re3+", 0.0542699581], + ["Re3+", "Cr4+", 0.0542699581], + ["Cr4+", "Re6+", 0.0811941408], + ["Re6+", "Cr4+", 0.0811941408], + ["Cr4+", "Re2+", -0.0299987958], + ["Re2+", "Cr4+", -0.0299987958], + ["Cr4+", "Re4+", 0.2095860717], + ["Re4+", "Cr4+", 0.2095860717], + ["Cr4+", "Re7+", 0.2290155399], + ["Re7+", "Cr4+", 0.2290155399], + ["Cr4+", "Os7+", 0.1682136903], + ["Os7+", "Cr4+", 0.1682136903], + ["Cr4+", "Os6+", 0.2129800646], + ["Os6+", "Cr4+", 0.2129800646], + ["Cr4+", "Os5+", 0.4527849143], + ["Os5+", "Cr4+", 0.4527849143], + ["Cr4+", "Os2-", -0.0675725759], + ["Os2-", "Cr4+", -0.0675725759], + ["Cr4+", "Os3+", 0.1640942415], + ["Os3+", "Cr4+", 0.1640942415], + ["Cr4+", "Os4+", 0.150748864], + ["Os4+", "Cr4+", 0.150748864], + ["Cr4+", "Os8+", 0.1664662738], + ["Os8+", "Cr4+", 0.1664662738], + ["Cr4+", "Os2+", 0.0226035118], + ["Os2+", "Cr4+", 0.0226035118], + ["Cr4+", "Ir3+", 0.0544027058], + ["Ir3+", "Cr4+", 0.0544027058], + ["Cr4+", "Ir4+", 0.3094629317], + ["Ir4+", "Cr4+", 0.3094629317], + ["Cr4+", "Ir5+", 0.2373316427], + ["Ir5+", "Cr4+", 0.2373316427], + ["Cr4+", "Ir6+", 0.0600764378], + ["Ir6+", "Cr4+", 0.0600764378], + ["Cr4+", "Pt2+", 0.061185715], + ["Pt2+", "Cr4+", 0.061185715], + ["Cr4+", "Pt2-", -0.2089389679], + ["Pt2-", "Cr4+", -0.2089389679], + ["Cr4+", "Pt4+", 0.1570990959], + ["Pt4+", "Cr4+", 0.1570990959], + ["Cr4+", "Pt3+", 0.3531401716], + ["Pt3+", "Cr4+", 0.3531401716], + ["Cr4+", "Pt5+", 0.0538574626], + ["Pt5+", "Cr4+", 0.0538574626], + ["Cr4+", "Pt6+", 0.0135785201], + ["Pt6+", "Cr4+", 0.0135785201], + ["Cr4+", "Au2+", 0.058479858], + ["Au2+", "Cr4+", 0.058479858], + ["Cr4+", "Au3+", 0.0634250539], + ["Au3+", "Cr4+", 0.0634250539], + ["Cr4+", "Au5+", 0.1490816156], + ["Au5+", "Cr4+", 0.1490816156], + ["Cr4+", "Au4+", 0.0847263891], + ["Au4+", "Cr4+", 0.0847263891], + ["Cr4+", "Hg2+", 0.0234647687], + ["Hg2+", "Cr4+", 0.0234647687], + ["Cr4+", "Tl3+", 0.2597644947], + ["Tl3+", "Cr4+", 0.2597644947], + ["Cr4+", "Tl2+", 0.3772264523], + ["Tl2+", "Cr4+", 0.3772264523], + ["Cr4+", "Pb2+", 0.4307782037], + ["Pb2+", "Cr4+", 0.4307782037], + ["Cr4+", "Pb3+", 0.1723364839], + ["Pb3+", "Cr4+", 0.1723364839], + ["Cr4+", "Pb4+", 0.065567203], + ["Pb4+", "Cr4+", 0.065567203], + ["Cr4+", "Bi3+", 0.5063469001], + ["Bi3+", "Cr4+", 0.5063469001], + ["Cr4+", "Bi5+", 0.293996888], + ["Bi5+", "Cr4+", 0.293996888], + ["Cr4+", "Bi2+", 0.1130952026], + ["Bi2+", "Cr4+", 0.1130952026], + ["Cr4+", "Bi3-", 0.0027699163], + ["Bi3-", "Cr4+", 0.0027699163], + ["Cr4+", "Bi4+", 0.4123409929], + ["Bi4+", "Cr4+", 0.4123409929], + ["Cr4+", "Ac3+", 0.1499223995], + ["Ac3+", "Cr4+", 0.1499223995], + ["Cr4+", "Th4+", 0.3059968556], + ["Th4+", "Cr4+", 0.3059968556], + ["Cr4+", "Th3+", 0.0466754486], + ["Th3+", "Cr4+", 0.0466754486], + ["Cr4+", "Pa4+", -0.1230354896], + ["Pa4+", "Cr4+", -0.1230354896], + ["Cr4+", "Pa5+", 0.1886463326], + ["Pa5+", "Cr4+", 0.1886463326], + ["Cr4+", "Pa3+", 0.0325437724], + ["Pa3+", "Cr4+", 0.0325437724], + ["Cr4+", "U6+", 0.2941546208], + ["U6+", "Cr4+", 0.2941546208], + ["Cr4+", "U4+", 0.1859317971], + ["U4+", "Cr4+", 0.1859317971], + ["Cr4+", "U3+", 0.1014894876], + ["U3+", "Cr4+", 0.1014894876], + ["Cr4+", "U2+", 0.0556016451], + ["U2+", "Cr4+", 0.0556016451], + ["Cr4+", "U5+", 0.2093746406], + ["U5+", "Cr4+", 0.2093746406], + ["Cr4+", "Np6+", 0.2785011513], + ["Np6+", "Cr4+", 0.2785011513], + ["Cr4+", "Np4+", 0.195683465], + ["Np4+", "Cr4+", 0.195683465], + ["Cr4+", "Np3+", 0.0970074492], + ["Np3+", "Cr4+", 0.0970074492], + ["Cr4+", "Np7+", 0.1446584666], + ["Np7+", "Cr4+", 0.1446584666], + ["Cr4+", "Np5+", 0.3937067059], + ["Np5+", "Cr4+", 0.3937067059], + ["Cr4+", "Pu7+", 0.3514721953], + ["Pu7+", "Cr4+", 0.3514721953], + ["Cr4+", "Pu6+", -0.0124224905], + ["Pu6+", "Cr4+", -0.0124224905], + ["Cr4+", "Pu3+", 0.143643486], + ["Pu3+", "Cr4+", 0.143643486], + ["Cr4+", "Pu4+", 0.1974392958], + ["Pu4+", "Cr4+", 0.1974392958], + ["Cr4+", "Pu5+", 0.0761163558], + ["Pu5+", "Cr4+", 0.0761163558], + ["Cr4+", "H1+", 0.1630624617], + ["H1+", "Cr4+", 0.1630624617], + ["Cr4+", "H1-", -0.1348750886], + ["H1-", "Cr4+", -0.1348750886], + ["Cr4+", "Li1+", 0.5790399612], + ["Li1+", "Cr4+", 0.5790399612], + ["Cr4+", "B1+", -0.1850622458], + ["B1+", "Cr4+", -0.1850622458], + ["Cr4+", "B1-", -0.0584081197], + ["B1-", "Cr4+", -0.0584081197], + ["Cr4+", "C1-", -0.0273344832], + ["C1-", "Cr4+", -0.0273344832], + ["Cr4+", "C1+", 0.1393265854], + ["C1+", "Cr4+", 0.1393265854], + ["Cr4+", "N1-", -0.140726879], + ["N1-", "Cr4+", -0.140726879], + ["Cr4+", "N1+", -0.0016952906], + ["N1+", "Cr4+", -0.0016952906], + ["Cr4+", "O1-", 0.0258939565], + ["O1-", "Cr4+", 0.0258939565], + ["Cr4+", "F1-", -0.0122444238], + ["F1-", "Cr4+", -0.0122444238], + ["Cr4+", "Na1+", 0.435156034], + ["Na1+", "Cr4+", 0.435156034], + ["Cr4+", "Si1-", -0.0079163942], + ["Si1-", "Cr4+", -0.0079163942], + ["Cr4+", "P1+", 0.1192889583], + ["P1+", "Cr4+", 0.1192889583], + ["Cr4+", "P1-", -0.1159510261], + ["P1-", "Cr4+", -0.1159510261], + ["Cr4+", "S1-", 0.0085644398], + ["S1-", "Cr4+", 0.0085644398], + ["Cr4+", "S1+", 0.0138543644], + ["S1+", "Cr4+", 0.0138543644], + ["Cr4+", "Cl1-", -0.0556903603], + ["Cl1-", "Cr4+", -0.0556903603], + ["Cr4+", "K1+", 0.2940321161], + ["K1+", "Cr4+", 0.2940321161], + ["Cr4+", "Sc1+", -0.1272713315], + ["Sc1+", "Cr4+", -0.1272713315], + ["Cr4+", "Mn1+", 0.3212986712], + ["Mn1+", "Cr4+", 0.3212986712], + ["Cr4+", "Fe1+", 0.1179118969], + ["Fe1+", "Cr4+", 0.1179118969], + ["Cr4+", "Co1+", 0.1225330366], + ["Co1+", "Cr4+", 0.1225330366], + ["Cr4+", "Ni1+", 0.0035500737], + ["Ni1+", "Cr4+", 0.0035500737], + ["Cr4+", "Cu1+", 0.2037212044], + ["Cu1+", "Cr4+", 0.2037212044], + ["Cr4+", "Ga1+", -0.0147866187], + ["Ga1+", "Cr4+", -0.0147866187], + ["Cr4+", "As1-", -0.0707296507], + ["As1-", "Cr4+", -0.0707296507], + ["Cr4+", "As1+", 0.1683121466], + ["As1+", "Cr4+", 0.1683121466], + ["Cr4+", "Se1-", -0.0728209661], + ["Se1-", "Cr4+", -0.0728209661], + ["Cr4+", "Se1+", 0.0306388672], + ["Se1+", "Cr4+", 0.0306388672], + ["Cr4+", "Br1-", -0.0772549809], + ["Br1-", "Cr4+", -0.0772549809], + ["Cr4+", "Br1+", -0.0471766165], + ["Br1+", "Cr4+", -0.0471766165], + ["Cr4+", "Rb1+", 0.1462264663], + ["Rb1+", "Cr4+", 0.1462264663], + ["Cr4+", "Y1+", 0.1193472359], + ["Y1+", "Cr4+", 0.1193472359], + ["Cr4+", "Zr1+", -0.0656221729], + ["Zr1+", "Cr4+", -0.0656221729], + ["Cr4+", "Nb1+", 0.2171298715], + ["Nb1+", "Cr4+", 0.2171298715], + ["Cr4+", "Tc1-", -0.186335722], + ["Tc1-", "Cr4+", -0.186335722], + ["Cr4+", "Tc1+", 0.22670747], + ["Tc1+", "Cr4+", 0.22670747], + ["Cr4+", "Rh1+", -0.0682833528], + ["Rh1+", "Cr4+", -0.0682833528], + ["Cr4+", "Ag1+", 0.3447847942], + ["Ag1+", "Cr4+", 0.3447847942], + ["Cr4+", "In1+", -0.0599196001], + ["In1+", "Cr4+", -0.0599196001], + ["Cr4+", "Sb1-", -0.1023805463], + ["Sb1-", "Cr4+", -0.1023805463], + ["Cr4+", "Sb1+", 0.2079025704], + ["Sb1+", "Cr4+", 0.2079025704], + ["Cr4+", "Te1-", -0.078453563], + ["Te1-", "Cr4+", -0.078453563], + ["Cr4+", "Te1+", -0.0800553886], + ["Te1+", "Cr4+", -0.0800553886], + ["Cr4+", "I1-", -0.0824684204], + ["I1-", "Cr4+", -0.0824684204], + ["Cr4+", "I1+", -0.057725879], + ["I1+", "Cr4+", -0.057725879], + ["Cr4+", "Cs1+", 0.1480448592], + ["Cs1+", "Cr4+", 0.1480448592], + ["Cr4+", "La1+", -0.2657846027], + ["La1+", "Cr4+", -0.2657846027], + ["Cr4+", "Tb1+", -0.1591539758], + ["Tb1+", "Cr4+", -0.1591539758], + ["Cr4+", "Ta1+", 0.1469391644], + ["Ta1+", "Cr4+", 0.1469391644], + ["Cr4+", "Os1-", 0.111189101], + ["Os1-", "Cr4+", 0.111189101], + ["Cr4+", "Os1+", -0.0105044452], + ["Os1+", "Cr4+", -0.0105044452], + ["Cr4+", "Pt1-", 0.0901651054], + ["Pt1-", "Cr4+", 0.0901651054], + ["Cr4+", "Pt1+", 0.1615503742], + ["Pt1+", "Cr4+", 0.1615503742], + ["Cr4+", "Au1-", -0.2315560511], + ["Au1-", "Cr4+", -0.2315560511], + ["Cr4+", "Au1+", 0.025742095], + ["Au1+", "Cr4+", 0.025742095], + ["Cr4+", "Hg1+", 0.110451531], + ["Hg1+", "Cr4+", 0.110451531], + ["Cr4+", "Tl1+", 0.2760905112], + ["Tl1+", "Cr4+", 0.2760905112], + ["Cr4+", "Bi1+", -0.2639549728], + ["Bi1+", "Cr4+", -0.2639549728], + ["Cr5+", "Cr5+", 1.0], + ["Cr5+", "Mn2+", 0.454529585], + ["Mn2+", "Cr5+", 0.454529585], + ["Cr5+", "Mn3+", 0.5467057279], + ["Mn3+", "Cr5+", 0.5467057279], + ["Cr5+", "Mn4+", 0.5333955967], + ["Mn4+", "Cr5+", 0.5333955967], + ["Cr5+", "Mn7+", 0.4599139196], + ["Mn7+", "Cr5+", 0.4599139196], + ["Cr5+", "Mn6+", 0.3824519255], + ["Mn6+", "Cr5+", 0.3824519255], + ["Cr5+", "Mn5+", 0.3950141805], + ["Mn5+", "Cr5+", 0.3950141805], + ["Cr5+", "Fe2+", 0.4437088308], + ["Fe2+", "Cr5+", 0.4437088308], + ["Cr5+", "Fe3+", 0.5259161989], + ["Fe3+", "Cr5+", 0.5259161989], + ["Cr5+", "Fe4+", 0.5374395852], + ["Fe4+", "Cr5+", 0.5374395852], + ["Cr5+", "Fe6+", 0.359913721], + ["Fe6+", "Cr5+", 0.359913721], + ["Cr5+", "Fe5+", 0.3293359167], + ["Fe5+", "Cr5+", 0.3293359167], + ["Cr5+", "Co2+", 0.4018911917], + ["Co2+", "Cr5+", 0.4018911917], + ["Cr5+", "Co4+", 0.4362533151], + ["Co4+", "Cr5+", 0.4362533151], + ["Cr5+", "Co3+", 0.4663224939], + ["Co3+", "Cr5+", 0.4663224939], + ["Cr5+", "Ni2+", 0.5456251846], + ["Ni2+", "Cr5+", 0.5456251846], + ["Cr5+", "Ni4+", 0.4419752686], + ["Ni4+", "Cr5+", 0.4419752686], + ["Cr5+", "Ni3+", 0.4488279836], + ["Ni3+", "Cr5+", 0.4488279836], + ["Cr5+", "Cu2+", 0.4144758754], + ["Cu2+", "Cr5+", 0.4144758754], + ["Cr5+", "Cu3+", 0.3467482614], + ["Cu3+", "Cr5+", 0.3467482614], + ["Cr5+", "Zn2+", 0.393745588], + ["Zn2+", "Cr5+", 0.393745588], + ["Cr5+", "Ga3+", 0.2964065983], + ["Ga3+", "Cr5+", 0.2964065983], + ["Cr5+", "Ga4+", 0.2969414675], + ["Ga4+", "Cr5+", 0.2969414675], + ["Cr5+", "Ga2+", -0.0354559129], + ["Ga2+", "Cr5+", -0.0354559129], + ["Cr5+", "Ge4-", 0.221465619], + ["Ge4-", "Cr5+", 0.221465619], + ["Cr5+", "Ge4+", 0.2751325479], + ["Ge4+", "Cr5+", 0.2751325479], + ["Cr5+", "Ge2-", 0.236995787], + ["Ge2-", "Cr5+", 0.236995787], + ["Cr5+", "Ge2+", 0.0991424395], + ["Ge2+", "Cr5+", 0.0991424395], + ["Cr5+", "Ge3+", -0.0052181991], + ["Ge3+", "Cr5+", -0.0052181991], + ["Cr5+", "As2-", -0.0330139887], + ["As2-", "Cr5+", -0.0330139887], + ["Cr5+", "As3+", 0.0926335499], + ["As3+", "Cr5+", 0.0926335499], + ["Cr5+", "As5+", 0.3332068793], + ["As5+", "Cr5+", 0.3332068793], + ["Cr5+", "As3-", 0.0481276627], + ["As3-", "Cr5+", 0.0481276627], 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0.0094665028], + ["Tc3+", "Cr5+", 0.0094665028], + ["Cr5+", "Tc7+", 0.3285448688], + ["Tc7+", "Cr5+", 0.3285448688], + ["Cr5+", "Tc5+", 0.2862463594], + ["Tc5+", "Cr5+", 0.2862463594], + ["Cr5+", "Tc6+", 0.1031959645], + ["Tc6+", "Cr5+", 0.1031959645], + ["Cr5+", "Tc2-", 0.0827520483], + ["Tc2-", "Cr5+", 0.0827520483], + ["Cr5+", "Tc2+", -0.0423835554], + ["Tc2+", "Cr5+", -0.0423835554], + ["Cr5+", "Ru2+", 0.0817814496], + ["Ru2+", "Cr5+", 0.0817814496], + ["Cr5+", "Ru6+", 0.2631885664], + ["Ru6+", "Cr5+", 0.2631885664], + ["Cr5+", "Ru4+", 0.3022216387], + ["Ru4+", "Cr5+", 0.3022216387], + ["Cr5+", "Ru5+", 0.4928790669], + ["Ru5+", "Cr5+", 0.4928790669], + ["Cr5+", "Ru3+", 0.2326624003], + ["Ru3+", "Cr5+", 0.2326624003], + ["Cr5+", "Rh4+", 0.2288143133], + ["Rh4+", "Cr5+", 0.2288143133], + ["Cr5+", "Rh3+", 0.2969016242], + ["Rh3+", "Cr5+", 0.2969016242], + ["Cr5+", "Pd2+", 0.2694444399], + ["Pd2+", "Cr5+", 0.2694444399], + ["Cr5+", "Pd4+", 0.0486635155], + ["Pd4+", "Cr5+", 0.0486635155], + ["Cr5+", "Pd3+", 0.2071577327], + ["Pd3+", "Cr5+", 0.2071577327], + ["Cr5+", "Ag3+", 0.3785401018], + ["Ag3+", "Cr5+", 0.3785401018], + ["Cr5+", "Ag2+", 0.2046012575], + ["Ag2+", "Cr5+", 0.2046012575], + ["Cr5+", "Cd2+", 0.2162103858], + ["Cd2+", "Cr5+", 0.2162103858], + ["Cr5+", "In3+", 0.2622608782], + ["In3+", "Cr5+", 0.2622608782], + ["Cr5+", "In2+", 0.0610883913], + ["In2+", "Cr5+", 0.0610883913], + ["Cr5+", "Sn4+", 0.3118943038], + ["Sn4+", "Cr5+", 0.3118943038], + ["Cr5+", "Sn3+", 0.4085549389], + ["Sn3+", "Cr5+", 0.4085549389], + ["Cr5+", "Sn2+", 0.1540672923], + ["Sn2+", "Cr5+", 0.1540672923], + ["Cr5+", "Sb5+", 0.435265643], + ["Sb5+", "Cr5+", 0.435265643], + ["Cr5+", "Sb2-", -0.0061379833], + ["Sb2-", "Cr5+", -0.0061379833], + ["Cr5+", "Sb3-", 0.0838584916], + ["Sb3-", "Cr5+", 0.0838584916], + ["Cr5+", "Sb3+", 0.1274940789], + ["Sb3+", "Cr5+", 0.1274940789], + ["Cr5+", "Sb4+", 0.2346900705], + ["Sb4+", "Cr5+", 0.2346900705], + ["Cr5+", "Te2-", 0.1701836293], + ["Te2-", "Cr5+", 0.1701836293], + ["Cr5+", "Te4+", 0.2773626663], + ["Te4+", "Cr5+", 0.2773626663], + ["Cr5+", "Te6+", 0.3391514895], + ["Te6+", "Cr5+", 0.3391514895], + ["Cr5+", "Te2+", -0.018114242], + ["Te2+", "Cr5+", -0.018114242], + ["Cr5+", "Te5+", 0.1953619628], + ["Te5+", "Cr5+", 0.1953619628], + ["Cr5+", "I3+", 0.17908076], + ["I3+", "Cr5+", 0.17908076], + ["Cr5+", "I7+", 0.3199073693], + ["I7+", "Cr5+", 0.3199073693], + ["Cr5+", "I5+", 0.3968416037], + ["I5+", "Cr5+", 0.3968416037], + ["Cr5+", "I2+", 0.38316798], + ["I2+", "Cr5+", 0.38316798], + ["Cr5+", "Ba2+", 0.3298839557], + ["Ba2+", "Cr5+", 0.3298839557], + ["Cr5+", "La3+", 0.3047672525], + ["La3+", "Cr5+", 0.3047672525], + ["Cr5+", "La2+", 0.2245455311], + ["La2+", "Cr5+", 0.2245455311], + ["Cr5+", "Ce3+", 0.1795977978], + ["Ce3+", "Cr5+", 0.1795977978], + ["Cr5+", "Ce2+", 0.0203097702], + ["Ce2+", "Cr5+", 0.0203097702], + ["Cr5+", "Ce4+", 0.2687686551], + ["Ce4+", "Cr5+", 0.2687686551], + ["Cr5+", "Pr3+", 0.1959695677], + ["Pr3+", "Cr5+", 0.1959695677], + ["Cr5+", "Pr4+", 0.2825688425], + ["Pr4+", "Cr5+", 0.2825688425], + ["Cr5+", "Pr2+", -0.0695550922], + ["Pr2+", "Cr5+", -0.0695550922], + ["Cr5+", "Nd3+", 0.252610431], + ["Nd3+", "Cr5+", 0.252610431], + ["Cr5+", "Nd2+", 0.1426902708], + ["Nd2+", "Cr5+", 0.1426902708], + ["Cr5+", "Pm3+", 0.0929997547], + ["Pm3+", "Cr5+", 0.0929997547], + ["Cr5+", "Sm3+", 0.2808911409], + ["Sm3+", "Cr5+", 0.2808911409], + ["Cr5+", "Sm2+", -0.0167734502], + ["Sm2+", "Cr5+", -0.0167734502], + ["Cr5+", "Eu2+", 0.1921400422], + ["Eu2+", "Cr5+", 0.1921400422], + ["Cr5+", "Eu3+", 0.4026445769], + ["Eu3+", "Cr5+", 0.4026445769], + ["Cr5+", "Gd2+", 0.0071642943], + ["Gd2+", "Cr5+", 0.0071642943], + ["Cr5+", "Gd3+", 0.3790160643], + ["Gd3+", "Cr5+", 0.3790160643], + ["Cr5+", "Tb3+", 0.132284695], + ["Tb3+", "Cr5+", 0.132284695], + ["Cr5+", "Tb2+", 0.0711131575], + ["Tb2+", "Cr5+", 0.0711131575], + ["Cr5+", "Tb4+", 0.4216720367], + ["Tb4+", "Cr5+", 0.4216720367], + ["Cr5+", "Dy3+", 0.2073366866], + ["Dy3+", "Cr5+", 0.2073366866], + ["Cr5+", "Dy2+", 0.1703537723], + ["Dy2+", "Cr5+", 0.1703537723], + ["Cr5+", "Ho3+", 0.2545430301], + ["Ho3+", "Cr5+", 0.2545430301], + ["Cr5+", "Ho2+", 0.3293195584], + ["Ho2+", "Cr5+", 0.3293195584], + ["Cr5+", "Er3+", 0.3887923247], + ["Er3+", "Cr5+", 0.3887923247], + ["Cr5+", "Tm3+", 0.2628143186], + ["Tm3+", "Cr5+", 0.2628143186], + ["Cr5+", "Tm2+", 0.1209919267], + ["Tm2+", "Cr5+", 0.1209919267], + ["Cr5+", "Yb3+", 0.4209378199], + ["Yb3+", "Cr5+", 0.4209378199], + ["Cr5+", "Yb2+", 0.046339981], + ["Yb2+", "Cr5+", 0.046339981], + ["Cr5+", "Lu3+", 0.2754521607], + ["Lu3+", "Cr5+", 0.2754521607], + ["Cr5+", "Hf3+", 0.1991811877], + ["Hf3+", "Cr5+", 0.1991811877], + ["Cr5+", "Hf2+", 0.2152584945], + ["Hf2+", "Cr5+", 0.2152584945], + ["Cr5+", "Hf4+", 0.6109540887], + ["Hf4+", "Cr5+", 0.6109540887], + ["Cr5+", "Ta5+", 0.4769654524], + ["Ta5+", "Cr5+", 0.4769654524], + ["Cr5+", "Ta3+", -0.061399041], + ["Ta3+", 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+ ["Os6+", "Cr5+", 0.427143803], + ["Cr5+", "Os5+", 0.3015226801], + ["Os5+", "Cr5+", 0.3015226801], + ["Cr5+", "Os2-", 0.0038854784], + ["Os2-", "Cr5+", 0.0038854784], + ["Cr5+", "Os3+", 0.0763706929], + ["Os3+", "Cr5+", 0.0763706929], + ["Cr5+", "Os4+", 0.1206422068], + ["Os4+", "Cr5+", 0.1206422068], + ["Cr5+", "Os8+", 0.1067836127], + ["Os8+", "Cr5+", 0.1067836127], + ["Cr5+", "Os2+", 0.0899658642], + ["Os2+", "Cr5+", 0.0899658642], + ["Cr5+", "Ir3+", 0.1720195452], + ["Ir3+", "Cr5+", 0.1720195452], + ["Cr5+", "Ir4+", 0.1246839571], + ["Ir4+", "Cr5+", 0.1246839571], + ["Cr5+", "Ir5+", 0.1997687404], + ["Ir5+", "Cr5+", 0.1997687404], + ["Cr5+", "Ir6+", 0.1595772612], + ["Ir6+", "Cr5+", 0.1595772612], + ["Cr5+", "Pt2+", 0.1678431741], + ["Pt2+", "Cr5+", 0.1678431741], + ["Cr5+", "Pt2-", -0.3193957561], + ["Pt2-", "Cr5+", -0.3193957561], + ["Cr5+", "Pt4+", 0.2555040295], + ["Pt4+", "Cr5+", 0.2555040295], + ["Cr5+", "Pt3+", 0.3113026572], + ["Pt3+", "Cr5+", 0.3113026572], + ["Cr5+", 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0.0781513119], + ["Cr5+", "Bi3-", 0.1770772344], + ["Bi3-", "Cr5+", 0.1770772344], + ["Cr5+", "Bi4+", 0.4297975793], + ["Bi4+", "Cr5+", 0.4297975793], + ["Cr5+", "Ac3+", 0.1257052635], + ["Ac3+", "Cr5+", 0.1257052635], + ["Cr5+", "Th4+", 0.1480351539], + ["Th4+", "Cr5+", 0.1480351539], + ["Cr5+", "Th3+", -0.072542349], + ["Th3+", "Cr5+", -0.072542349], + ["Cr5+", "Pa4+", 0.0363931136], + ["Pa4+", "Cr5+", 0.0363931136], + ["Cr5+", "Pa5+", 0.1270767804], + ["Pa5+", "Cr5+", 0.1270767804], + ["Cr5+", "Pa3+", -0.0760038666], + ["Pa3+", "Cr5+", -0.0760038666], + ["Cr5+", "U6+", 0.3762892865], + ["U6+", "Cr5+", 0.3762892865], + ["Cr5+", "U4+", 0.1495607668], + ["U4+", "Cr5+", 0.1495607668], + ["Cr5+", "U3+", -0.0780143927], + ["U3+", "Cr5+", -0.0780143927], + ["Cr5+", "U2+", 0.0483028651], + ["U2+", "Cr5+", 0.0483028651], + ["Cr5+", "U5+", 0.1739306527], + ["U5+", "Cr5+", 0.1739306527], + ["Cr5+", "Np6+", 0.3290268858], + ["Np6+", "Cr5+", 0.3290268858], + ["Cr5+", "Np4+", 0.1605475489], + ["Np4+", "Cr5+", 0.1605475489], + ["Cr5+", "Np3+", -0.1835325642], + ["Np3+", "Cr5+", -0.1835325642], + ["Cr5+", "Np7+", 0.1533503087], + ["Np7+", "Cr5+", 0.1533503087], + ["Cr5+", "Np5+", 0.2649677414], + ["Np5+", "Cr5+", 0.2649677414], + ["Cr5+", "Pu7+", 0.4017532951], + ["Pu7+", "Cr5+", 0.4017532951], + ["Cr5+", "Pu6+", 0.2164490725], + ["Pu6+", "Cr5+", 0.2164490725], + ["Cr5+", "Pu3+", 0.0475084473], + ["Pu3+", "Cr5+", 0.0475084473], + ["Cr5+", "Pu4+", 0.1950156723], + ["Pu4+", "Cr5+", 0.1950156723], + ["Cr5+", "Pu5+", 0.2035710477], + ["Pu5+", "Cr5+", 0.2035710477], + ["Cr5+", "H1+", 0.3852665882], + ["H1+", "Cr5+", 0.3852665882], + ["Cr5+", "H1-", 0.1115462047], + ["H1-", "Cr5+", 0.1115462047], + ["Cr5+", "Li1+", 0.4976354322], + ["Li1+", "Cr5+", 0.4976354322], + ["Cr5+", "B1+", -0.0349066805], + ["B1+", "Cr5+", -0.0349066805], + ["Cr5+", "B1-", 0.1517860064], + ["B1-", "Cr5+", 0.1517860064], + ["Cr5+", "C1-", 0.130858046], + ["C1-", "Cr5+", 0.130858046], + ["Cr5+", "C1+", 0.5030116355], + ["C1+", "Cr5+", 0.5030116355], + ["Cr5+", "N1-", 0.1802897888], + ["N1-", "Cr5+", 0.1802897888], + ["Cr5+", "N1+", 0.285757913], + ["N1+", "Cr5+", 0.285757913], + ["Cr5+", "O1-", 0.2049724809], + ["O1-", "Cr5+", 0.2049724809], + ["Cr5+", "F1-", 0.1874766424], + ["F1-", "Cr5+", 0.1874766424], + ["Cr5+", "Na1+", 0.4205799696], + ["Na1+", "Cr5+", 0.4205799696], + ["Cr5+", "Si1-", -0.1228987098], + ["Si1-", "Cr5+", -0.1228987098], + ["Cr5+", "P1+", 0.0816194633], + ["P1+", "Cr5+", 0.0816194633], + ["Cr5+", "P1-", 0.0080641389], + ["P1-", "Cr5+", 0.0080641389], + ["Cr5+", "S1-", 0.1267551348], + ["S1-", "Cr5+", 0.1267551348], + ["Cr5+", "S1+", 0.1002545867], + ["S1+", "Cr5+", 0.1002545867], + ["Cr5+", "Cl1-", 0.1680099911], + ["Cl1-", "Cr5+", 0.1680099911], + ["Cr5+", "K1+", 0.2787782648], + ["K1+", "Cr5+", 0.2787782648], + ["Cr5+", "Sc1+", -0.0019509702], + ["Sc1+", "Cr5+", -0.0019509702], + ["Cr5+", "Mn1+", 0.3881212758], + ["Mn1+", "Cr5+", 0.3881212758], + ["Cr5+", "Fe1+", 0.2871560886], + ["Fe1+", "Cr5+", 0.2871560886], + ["Cr5+", "Co1+", 0.2709613071], + ["Co1+", "Cr5+", 0.2709613071], + ["Cr5+", "Ni1+", 0.0921287122], + ["Ni1+", "Cr5+", 0.0921287122], + ["Cr5+", "Cu1+", 0.1728445906], + ["Cu1+", "Cr5+", 0.1728445906], + ["Cr5+", "Ga1+", 0.0527527807], + ["Ga1+", "Cr5+", 0.0527527807], + ["Cr5+", "As1-", -0.1618424234], + ["As1-", "Cr5+", -0.1618424234], + ["Cr5+", "As1+", 0.1152242628], + ["As1+", "Cr5+", 0.1152242628], + ["Cr5+", "Se1-", -0.084535172], + ["Se1-", "Cr5+", -0.084535172], + ["Cr5+", "Se1+", 0.1835272757], + ["Se1+", "Cr5+", 0.1835272757], + ["Cr5+", "Br1-", 0.0548091242], + ["Br1-", "Cr5+", 0.0548091242], + ["Cr5+", "Br1+", 0.2998239525], + ["Br1+", "Cr5+", 0.2998239525], + ["Cr5+", "Rb1+", 0.0458257622], + ["Rb1+", "Cr5+", 0.0458257622], + ["Cr5+", "Y1+", 0.3410756939], + ["Y1+", "Cr5+", 0.3410756939], + ["Cr5+", "Zr1+", -0.0605940886], + ["Zr1+", "Cr5+", -0.0605940886], + ["Cr5+", "Nb1+", 0.259020879], + ["Nb1+", "Cr5+", 0.259020879], + ["Cr5+", "Tc1-", 0.0137434639], + ["Tc1-", "Cr5+", 0.0137434639], + ["Cr5+", "Tc1+", 0.1165306345], + ["Tc1+", "Cr5+", 0.1165306345], + ["Cr5+", "Rh1+", 0.126874954], + ["Rh1+", "Cr5+", 0.126874954], + ["Cr5+", "Ag1+", 0.3867995883], + ["Ag1+", "Cr5+", 0.3867995883], + ["Cr5+", "In1+", 0.012884531], + ["In1+", "Cr5+", 0.012884531], + ["Cr5+", "Sb1-", -0.3150196702], + ["Sb1-", "Cr5+", -0.3150196702], + ["Cr5+", "Sb1+", 0.1984303377], + ["Sb1+", "Cr5+", 0.1984303377], + ["Cr5+", "Te1-", -0.0709623546], + ["Te1-", "Cr5+", -0.0709623546], + ["Cr5+", "Te1+", -0.0371691034], + ["Te1+", "Cr5+", -0.0371691034], + ["Cr5+", "I1-", 0.0601484157], + ["I1-", "Cr5+", 0.0601484157], + ["Cr5+", "I1+", 0.2337963221], + ["I1+", "Cr5+", 0.2337963221], + ["Cr5+", "Cs1+", 0.025151093], + ["Cs1+", "Cr5+", 0.025151093], + ["Cr5+", "La1+", -0.0047158013], + ["La1+", "Cr5+", -0.0047158013], + ["Cr5+", "Tb1+", -0.0979118698], + ["Tb1+", "Cr5+", -0.0979118698], + ["Cr5+", "Ta1+", 0.1015722098], + ["Ta1+", "Cr5+", 0.1015722098], + ["Cr5+", "Os1-", -0.1453971917], + ["Os1-", "Cr5+", -0.1453971917], + ["Cr5+", "Os1+", -0.0836891428], + ["Os1+", "Cr5+", -0.0836891428], + ["Cr5+", "Pt1-", -0.1838928387], + ["Pt1-", "Cr5+", -0.1838928387], + ["Cr5+", "Pt1+", 0.0814064644], + ["Pt1+", "Cr5+", 0.0814064644], + ["Cr5+", "Au1-", -0.1845905057], + ["Au1-", "Cr5+", -0.1845905057], + ["Cr5+", "Au1+", -0.0286030075], + ["Au1+", "Cr5+", -0.0286030075], + ["Cr5+", "Hg1+", 0.1899931504], + ["Hg1+", "Cr5+", 0.1899931504], + ["Cr5+", "Tl1+", 0.2198858256], + ["Tl1+", "Cr5+", 0.2198858256], + ["Cr5+", "Bi1+", -0.1848380761], + ["Bi1+", "Cr5+", -0.1848380761], + ["Mn2+", "Mn2+", 1.0], + ["Mn2+", "Mn3+", 0.665693601], + ["Mn3+", "Mn2+", 0.665693601], + ["Mn2+", "Mn4+", 0.3338882217], + ["Mn4+", "Mn2+", 0.3338882217], + ["Mn2+", "Mn7+", 0.3266002939], + ["Mn7+", "Mn2+", 0.3266002939], + ["Mn2+", "Mn6+", 0.2516451014], + ["Mn6+", "Mn2+", 0.2516451014], + ["Mn2+", "Mn5+", 0.1985324177], + ["Mn5+", "Mn2+", 0.1985324177], + ["Mn2+", "Fe2+", 0.556822487], + ["Fe2+", "Mn2+", 0.556822487], + ["Mn2+", "Fe3+", 0.6760891057], + ["Fe3+", "Mn2+", 0.6760891057], + ["Mn2+", "Fe4+", 0.3485174439], + ["Fe4+", "Mn2+", 0.3485174439], + ["Mn2+", "Fe6+", 0.1257692528], + ["Fe6+", "Mn2+", 0.1257692528], + ["Mn2+", "Fe5+", 0.2408636056], + ["Fe5+", "Mn2+", 0.2408636056], + ["Mn2+", "Co2+", 0.535500564], + ["Co2+", "Mn2+", 0.535500564], + ["Mn2+", "Co4+", 0.2800553475], + ["Co4+", "Mn2+", 0.2800553475], + ["Mn2+", "Co3+", 0.5197741575], + ["Co3+", "Mn2+", 0.5197741575], + ["Mn2+", "Ni2+", 0.5801958733], + ["Ni2+", "Mn2+", 0.5801958733], + ["Mn2+", "Ni4+", 0.2935429875], + ["Ni4+", "Mn2+", 0.2935429875], + ["Mn2+", "Ni3+", 0.3384877009], + ["Ni3+", "Mn2+", 0.3384877009], + ["Mn2+", "Cu2+", 0.4179966819], + ["Cu2+", "Mn2+", 0.4179966819], + ["Mn2+", "Cu3+", 0.2989437015], + ["Cu3+", "Mn2+", 0.2989437015], + ["Mn2+", "Zn2+", 0.3797371356], + ["Zn2+", "Mn2+", 0.3797371356], + ["Mn2+", "Ga3+", 0.4811298647], + ["Ga3+", "Mn2+", 0.4811298647], + ["Mn2+", "Ga4+", 0.29004956], + ["Ga4+", "Mn2+", 0.29004956], + ["Mn2+", "Ga2+", -0.0156149791], + ["Ga2+", "Mn2+", -0.0156149791], + ["Mn2+", "Ge4-", 0.2616455357], + ["Ge4-", "Mn2+", 0.2616455357], + ["Mn2+", "Ge4+", 0.3687832778], + ["Ge4+", "Mn2+", 0.3687832778], + ["Mn2+", "Ge2-", 0.2327733912], + ["Ge2-", "Mn2+", 0.2327733912], + ["Mn2+", "Ge2+", 0.1671809369], + ["Ge2+", "Mn2+", 0.1671809369], + ["Mn2+", "Ge3+", 0.1426817132], + ["Ge3+", "Mn2+", 0.1426817132], + ["Mn2+", "As2-", -0.0087432179], + ["As2-", "Mn2+", -0.0087432179], + ["Mn2+", "As3+", 0.2124861158], + ["As3+", "Mn2+", 0.2124861158], + ["Mn2+", "As5+", 0.3534389458], + ["As5+", "Mn2+", 0.3534389458], + ["Mn2+", "As3-", 0.1007601469], + ["As3-", "Mn2+", 0.1007601469], + ["Mn2+", "As2+", 0.3696243705], + ["As2+", "Mn2+", 0.3696243705], + ["Mn2+", "As4+", 0.3439089181], + ["As4+", "Mn2+", 0.3439089181], + ["Mn2+", "Se2-", 0.1294106472], + ["Se2-", "Mn2+", 0.1294106472], + ["Mn2+", "Se4+", 0.3077296942], + ["Se4+", "Mn2+", 0.3077296942], + ["Mn2+", "Se6+", 0.3420652172], + ["Se6+", "Mn2+", 0.3420652172], + ["Mn2+", "Se5+", 0.3094189754], + ["Se5+", "Mn2+", 0.3094189754], + ["Mn2+", "Se2+", 0.0659482848], + ["Se2+", "Mn2+", 0.0659482848], + ["Mn2+", "Se3+", 0.1121364244], + ["Se3+", "Mn2+", 0.1121364244], + ["Mn2+", "Br2+", 0.1984684247], + ["Br2+", "Mn2+", 0.1984684247], + ["Mn2+", "Br5+", 0.4504126219], + ["Br5+", "Mn2+", 0.4504126219], + ["Mn2+", "Br3+", 0.3403508869], + ["Br3+", "Mn2+", 0.3403508869], + ["Mn2+", "Sr2+", 0.4199357958], + ["Sr2+", "Mn2+", 0.4199357958], + ["Mn2+", "Y3+", 0.317989178], + ["Y3+", "Mn2+", 0.317989178], + ["Mn2+", "Y2+", 0.1175500324], + ["Y2+", "Mn2+", 0.1175500324], + ["Mn2+", "Zr2+", 0.0021793825], + ["Zr2+", "Mn2+", 0.0021793825], + ["Mn2+", "Zr4+", 0.4405289169], + ["Zr4+", "Mn2+", 0.4405289169], + ["Mn2+", "Zr3+", 0.130318405], + ["Zr3+", "Mn2+", 0.130318405], + ["Mn2+", "Nb5+", 0.3629706197], + ["Nb5+", "Mn2+", 0.3629706197], + ["Mn2+", "Nb3+", 0.3576429838], + ["Nb3+", "Mn2+", 0.3576429838], + ["Mn2+", "Nb4+", 0.2388708345], + ["Nb4+", "Mn2+", 0.2388708345], + ["Mn2+", "Nb2+", 0.3138656193], + ["Nb2+", "Mn2+", 0.3138656193], + ["Mn2+", "Nb7+", 0.2107796773], + ["Nb7+", "Mn2+", 0.2107796773], + ["Mn2+", "Mo3+", 0.3277142886], + ["Mo3+", "Mn2+", 0.3277142886], + ["Mn2+", "Mo4+", 0.3954907948], + ["Mo4+", "Mn2+", 0.3954907948], + ["Mn2+", "Mo6+", 0.4717942205], + ["Mo6+", "Mn2+", 0.4717942205], + ["Mn2+", "Mo5+", 0.1296366761], + ["Mo5+", "Mn2+", 0.1296366761], + ["Mn2+", "Mo2+", 0.1632377023], + ["Mo2+", "Mn2+", 0.1632377023], + ["Mn2+", "Tc4+", 0.1501164544], + ["Tc4+", "Mn2+", 0.1501164544], + ["Mn2+", "Tc3-", -0.0089165887], + ["Tc3-", "Mn2+", -0.0089165887], + ["Mn2+", "Tc3+", 0.1249556603], + ["Tc3+", "Mn2+", 0.1249556603], + ["Mn2+", "Tc7+", 0.5028396111], + ["Tc7+", "Mn2+", 0.5028396111], + ["Mn2+", "Tc5+", 0.3647032807], + ["Tc5+", "Mn2+", 0.3647032807], + ["Mn2+", "Tc6+", 0.2704297624], + ["Tc6+", "Mn2+", 0.2704297624], + ["Mn2+", "Tc2-", -0.0395532595], + ["Tc2-", "Mn2+", -0.0395532595], + ["Mn2+", "Tc2+", 0.1719700042], + ["Tc2+", "Mn2+", 0.1719700042], + ["Mn2+", "Ru2+", -0.0375520851], + ["Ru2+", "Mn2+", -0.0375520851], + ["Mn2+", "Ru6+", 0.3742597458], + ["Ru6+", "Mn2+", 0.3742597458], + ["Mn2+", "Ru4+", 0.2453469083], + ["Ru4+", "Mn2+", 0.2453469083], + ["Mn2+", "Ru5+", 0.4929763997], + ["Ru5+", "Mn2+", 0.4929763997], + ["Mn2+", "Ru3+", 0.2362368518], + ["Ru3+", "Mn2+", 0.2362368518], + ["Mn2+", "Rh4+", 0.1840443652], + ["Rh4+", "Mn2+", 0.1840443652], + ["Mn2+", "Rh3+", 0.4260231135], + ["Rh3+", "Mn2+", 0.4260231135], + ["Mn2+", "Pd2+", 0.4111319256], + ["Pd2+", "Mn2+", 0.4111319256], + ["Mn2+", "Pd4+", 0.0657170432], + ["Pd4+", "Mn2+", 0.0657170432], + ["Mn2+", "Pd3+", 0.4875411922], + ["Pd3+", "Mn2+", 0.4875411922], + ["Mn2+", "Ag3+", 0.3499266691], + ["Ag3+", "Mn2+", 0.3499266691], + ["Mn2+", "Ag2+", 0.2581290573], + ["Ag2+", "Mn2+", 0.2581290573], + ["Mn2+", "Cd2+", 0.3109855113], + ["Cd2+", "Mn2+", 0.3109855113], + ["Mn2+", "In3+", 0.473327124], + ["In3+", "Mn2+", 0.473327124], + ["Mn2+", "In2+", 0.0851043729], + ["In2+", "Mn2+", 0.0851043729], + ["Mn2+", "Sn4+", 0.3454249533], + ["Sn4+", "Mn2+", 0.3454249533], + ["Mn2+", "Sn3+", 0.3026836167], + ["Sn3+", "Mn2+", 0.3026836167], + ["Mn2+", "Sn2+", 0.4138775767], + ["Sn2+", "Mn2+", 0.4138775767], + ["Mn2+", "Sb5+", 0.4919759349], + ["Sb5+", "Mn2+", 0.4919759349], + ["Mn2+", "Sb2-", 0.0517548781], + ["Sb2-", "Mn2+", 0.0517548781], + ["Mn2+", "Sb3-", 0.037466585], + ["Sb3-", "Mn2+", 0.037466585], + ["Mn2+", "Sb3+", 0.3040570676], + ["Sb3+", "Mn2+", 0.3040570676], + ["Mn2+", "Sb4+", 0.3170121936], + ["Sb4+", "Mn2+", 0.3170121936], + ["Mn2+", "Te2-", 0.2193308544], + ["Te2-", "Mn2+", 0.2193308544], + ["Mn2+", "Te4+", 0.3517894276], + ["Te4+", "Mn2+", 0.3517894276], + ["Mn2+", "Te6+", 0.5166940763], + ["Te6+", "Mn2+", 0.5166940763], + ["Mn2+", "Te2+", 0.1398166624], + ["Te2+", "Mn2+", 0.1398166624], + ["Mn2+", "Te5+", 0.243592123], + ["Te5+", "Mn2+", 0.243592123], + ["Mn2+", "I3+", 0.2802004921], + ["I3+", "Mn2+", 0.2802004921], + ["Mn2+", "I7+", 0.4506258176], + ["I7+", "Mn2+", 0.4506258176], + ["Mn2+", "I5+", 0.4128583575], + ["I5+", "Mn2+", 0.4128583575], + ["Mn2+", "I2+", 0.3100782333], + ["I2+", "Mn2+", 0.3100782333], + ["Mn2+", "Ba2+", 0.4962913999], + ["Ba2+", "Mn2+", 0.4962913999], + ["Mn2+", "La3+", 0.2845235499], + ["La3+", "Mn2+", 0.2845235499], + ["Mn2+", "La2+", 0.1575108207], + ["La2+", "Mn2+", 0.1575108207], + ["Mn2+", "Ce3+", 0.3326225786], + ["Ce3+", "Mn2+", 0.3326225786], + ["Mn2+", "Ce2+", 0.1945163947], + ["Ce2+", "Mn2+", 0.1945163947], + ["Mn2+", "Ce4+", 0.3188047288], + ["Ce4+", "Mn2+", 0.3188047288], + ["Mn2+", "Pr3+", 0.2295521096], + ["Pr3+", "Mn2+", 0.2295521096], + ["Mn2+", "Pr4+", 0.1757428158], + ["Pr4+", "Mn2+", 0.1757428158], + ["Mn2+", "Pr2+", 0.0830828862], + ["Pr2+", "Mn2+", 0.0830828862], + ["Mn2+", "Nd3+", 0.2634276579], + ["Nd3+", "Mn2+", 0.2634276579], + ["Mn2+", "Nd2+", 0.1567594091], + ["Nd2+", "Mn2+", 0.1567594091], + ["Mn2+", "Pm3+", 0.0672764033], + ["Pm3+", "Mn2+", 0.0672764033], + ["Mn2+", "Sm3+", 0.2097093988], + ["Sm3+", "Mn2+", 0.2097093988], + ["Mn2+", "Sm2+", 0.1936195952], + ["Sm2+", "Mn2+", 0.1936195952], + ["Mn2+", "Eu2+", 0.2980438444], + ["Eu2+", "Mn2+", 0.2980438444], + ["Mn2+", "Eu3+", 0.2823623001], + ["Eu3+", "Mn2+", 0.2823623001], + ["Mn2+", "Gd2+", 0.0665978473], + ["Gd2+", "Mn2+", 0.0665978473], + ["Mn2+", "Gd3+", 0.268880981], + ["Gd3+", "Mn2+", 0.268880981], + ["Mn2+", "Tb3+", 0.2409252991], + ["Tb3+", "Mn2+", 0.2409252991], + ["Mn2+", "Tb2+", 0.1232334998], + ["Tb2+", "Mn2+", 0.1232334998], + ["Mn2+", "Tb4+", 0.3766609219], + ["Tb4+", "Mn2+", 0.3766609219], + ["Mn2+", "Dy3+", 0.2261852362], + ["Dy3+", "Mn2+", 0.2261852362], + ["Mn2+", "Dy2+", 0.049685889], + ["Dy2+", "Mn2+", 0.049685889], + ["Mn2+", "Ho3+", 0.2524525271], + ["Ho3+", "Mn2+", 0.2524525271], + 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0.0662520682], + ["Se3+", "Mn3+", 0.0662520682], + ["Mn3+", "Br2+", 0.0200747101], + ["Br2+", "Mn3+", 0.0200747101], + ["Mn3+", "Br5+", 0.558167116], + ["Br5+", "Mn3+", 0.558167116], + ["Mn3+", "Br3+", 0.4297119964], + ["Br3+", "Mn3+", 0.4297119964], + ["Mn3+", "Sr2+", 0.3918689973], + ["Sr2+", "Mn3+", 0.3918689973], + ["Mn3+", "Y3+", 0.362055605], + ["Y3+", "Mn3+", 0.362055605], + ["Mn3+", "Y2+", 0.2028527838], + ["Y2+", "Mn3+", 0.2028527838], + ["Mn3+", "Zr2+", -0.2072363326], + ["Zr2+", "Mn3+", -0.2072363326], + ["Mn3+", "Zr4+", 0.5338220934], + ["Zr4+", "Mn3+", 0.5338220934], + ["Mn3+", "Zr3+", -0.0324159026], + ["Zr3+", "Mn3+", -0.0324159026], + ["Mn3+", "Nb5+", 0.3289175956], + ["Nb5+", "Mn3+", 0.3289175956], + ["Mn3+", "Nb3+", 0.1150280752], + ["Nb3+", "Mn3+", 0.1150280752], + ["Mn3+", "Nb4+", 0.1934710991], + ["Nb4+", "Mn3+", 0.1934710991], + ["Mn3+", "Nb2+", -0.0519315016], + ["Nb2+", "Mn3+", -0.0519315016], + ["Mn3+", "Nb7+", 0.2861307507], + ["Nb7+", "Mn3+", 0.2861307507], + 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["Ru6+", "Mn3+", 0.350984257], + ["Mn3+", "Ru4+", 0.1621242552], + ["Ru4+", "Mn3+", 0.1621242552], + ["Mn3+", "Ru5+", 0.4045448447], + ["Ru5+", "Mn3+", 0.4045448447], + ["Mn3+", "Ru3+", 0.2231943151], + ["Ru3+", "Mn3+", 0.2231943151], + ["Mn3+", "Rh4+", 0.2253649149], + ["Rh4+", "Mn3+", 0.2253649149], + ["Mn3+", "Rh3+", 0.2584004982], + ["Rh3+", "Mn3+", 0.2584004982], + ["Mn3+", "Pd2+", 0.1713680526], + ["Pd2+", "Mn3+", 0.1713680526], + ["Mn3+", "Pd4+", 0.0784901841], + ["Pd4+", "Mn3+", 0.0784901841], + ["Mn3+", "Pd3+", 0.2591968245], + ["Pd3+", "Mn3+", 0.2591968245], + ["Mn3+", "Ag3+", 0.4966035757], + ["Ag3+", "Mn3+", 0.4966035757], + ["Mn3+", "Ag2+", 0.4453687653], + ["Ag2+", "Mn3+", 0.4453687653], + ["Mn3+", "Cd2+", 0.1551562537], + ["Cd2+", "Mn3+", 0.1551562537], + ["Mn3+", "In3+", 0.3416644009], + ["In3+", "Mn3+", 0.3416644009], + ["Mn3+", "In2+", -0.0561588724], + ["In2+", "Mn3+", -0.0561588724], + ["Mn3+", "Sn4+", 0.3362800275], + ["Sn4+", "Mn3+", 0.3362800275], + ["Mn3+", "Sn3+", 0.2874225862], + ["Sn3+", "Mn3+", 0.2874225862], + ["Mn3+", "Sn2+", 0.2729883031], + ["Sn2+", "Mn3+", 0.2729883031], + ["Mn3+", "Sb5+", 0.4808470184], + ["Sb5+", "Mn3+", 0.4808470184], + ["Mn3+", "Sb2-", 0.032051242], + ["Sb2-", "Mn3+", 0.032051242], + ["Mn3+", "Sb3-", -0.0925009649], + ["Sb3-", "Mn3+", -0.0925009649], + ["Mn3+", "Sb3+", 0.2413015509], + ["Sb3+", "Mn3+", 0.2413015509], + ["Mn3+", "Sb4+", 0.371917503], + ["Sb4+", "Mn3+", 0.371917503], + ["Mn3+", "Te2-", -0.0739171757], + ["Te2-", "Mn3+", -0.0739171757], + ["Mn3+", "Te4+", 0.289876239], + ["Te4+", "Mn3+", 0.289876239], + ["Mn3+", "Te6+", 0.6063185234], + ["Te6+", "Mn3+", 0.6063185234], + ["Mn3+", "Te2+", -0.0631811679], + ["Te2+", "Mn3+", -0.0631811679], + ["Mn3+", "Te5+", 0.2279181678], + ["Te5+", "Mn3+", 0.2279181678], + ["Mn3+", "I3+", 0.227047987], + ["I3+", "Mn3+", 0.227047987], + ["Mn3+", "I7+", 0.4780550224], + ["I7+", "Mn3+", 0.4780550224], + ["Mn3+", "I5+", 0.4748373618], + ["I5+", "Mn3+", 0.4748373618], + ["Mn3+", "I2+", 0.2409312154], + ["I2+", "Mn3+", 0.2409312154], + ["Mn3+", "Ba2+", 0.4234478317], + ["Ba2+", "Mn3+", 0.4234478317], + ["Mn3+", "La3+", 0.178213357], + ["La3+", "Mn3+", 0.178213357], + ["Mn3+", "La2+", 0.0293313071], + ["La2+", "Mn3+", 0.0293313071], + ["Mn3+", "Ce3+", 0.0703717636], + ["Ce3+", "Mn3+", 0.0703717636], + ["Mn3+", "Ce2+", -0.0335030341], + ["Ce2+", "Mn3+", -0.0335030341], + ["Mn3+", "Ce4+", 0.2918245702], + ["Ce4+", "Mn3+", 0.2918245702], + ["Mn3+", "Pr3+", 0.1256887858], + ["Pr3+", "Mn3+", 0.1256887858], + ["Mn3+", "Pr4+", 0.2773963848], + ["Pr4+", "Mn3+", 0.2773963848], + ["Mn3+", "Pr2+", 0.0852138181], + ["Pr2+", "Mn3+", 0.0852138181], + ["Mn3+", "Nd3+", 0.299750134], + ["Nd3+", "Mn3+", 0.299750134], + ["Mn3+", "Nd2+", -0.0345862429], + ["Nd2+", "Mn3+", -0.0345862429], + ["Mn3+", "Pm3+", -0.0270691038], + ["Pm3+", "Mn3+", -0.0270691038], + ["Mn3+", "Sm3+", 0.245684429], + ["Sm3+", "Mn3+", 0.245684429], + ["Mn3+", "Sm2+", -0.0597371029], + ["Sm2+", "Mn3+", -0.0597371029], + ["Mn3+", "Eu2+", 0.1494531119], + ["Eu2+", "Mn3+", 0.1494531119], + ["Mn3+", "Eu3+", 0.2748585082], + ["Eu3+", "Mn3+", 0.2748585082], + ["Mn3+", "Gd2+", 0.0072477628], + ["Gd2+", "Mn3+", 0.0072477628], + ["Mn3+", "Gd3+", 0.2954876089], + ["Gd3+", "Mn3+", 0.2954876089], + ["Mn3+", "Tb3+", 0.3203960544], + ["Tb3+", "Mn3+", 0.3203960544], + ["Mn3+", "Tb2+", -0.0798230283], + ["Tb2+", "Mn3+", -0.0798230283], + ["Mn3+", "Tb4+", 0.5137004604], + ["Tb4+", "Mn3+", 0.5137004604], + ["Mn3+", "Dy3+", 0.1971485851], + ["Dy3+", "Mn3+", 0.1971485851], + ["Mn3+", "Dy2+", -0.093955086], + ["Dy2+", "Mn3+", -0.093955086], + ["Mn3+", "Ho3+", 0.2724673914], + ["Ho3+", "Mn3+", 0.2724673914], + ["Mn3+", "Ho2+", 0.1093055943], + ["Ho2+", "Mn3+", 0.1093055943], + ["Mn3+", "Er3+", 0.3710195832], + ["Er3+", "Mn3+", 0.3710195832], + ["Mn3+", "Tm3+", 0.2820817944], + ["Tm3+", "Mn3+", 0.2820817944], + ["Mn3+", "Tm2+", -0.112977641], + ["Tm2+", "Mn3+", -0.112977641], + ["Mn3+", "Yb3+", 0.3275001328], + ["Yb3+", "Mn3+", 0.3275001328], + ["Mn3+", "Yb2+", -0.0559444182], + ["Yb2+", "Mn3+", -0.0559444182], + ["Mn3+", "Lu3+", 0.270378948], + ["Lu3+", "Mn3+", 0.270378948], + ["Mn3+", "Hf3+", 0.1029945872], + ["Hf3+", "Mn3+", 0.1029945872], + ["Mn3+", "Hf2+", 0.3480560724], + ["Hf2+", "Mn3+", 0.3480560724], + ["Mn3+", "Hf4+", 0.3548830473], + ["Hf4+", "Mn3+", 0.3548830473], + ["Mn3+", "Ta5+", 0.3819205259], + ["Ta5+", "Mn3+", 0.3819205259], + ["Mn3+", "Ta3+", 0.0474098701], + ["Ta3+", "Mn3+", 0.0474098701], + ["Mn3+", "Ta4+", 0.0213986324], + ["Ta4+", "Mn3+", 0.0213986324], + ["Mn3+", "Ta2+", -0.1313977438], + ["Ta2+", "Mn3+", -0.1313977438], + ["Mn3+", "W6+", 0.40721446], + ["W6+", "Mn3+", 0.40721446], + ["Mn3+", "W4+", 0.1568907962], + ["W4+", "Mn3+", 0.1568907962], + ["Mn3+", "W2+", -0.0590214388], + ["W2+", "Mn3+", -0.0590214388], + ["Mn3+", "W3+", 0.2035751595], + ["W3+", "Mn3+", 0.2035751595], + ["Mn3+", "W5+", 0.3087579619], + ["W5+", "Mn3+", 0.3087579619], + ["Mn3+", "Re5+", 0.144098832], + ["Re5+", "Mn3+", 0.144098832], + ["Mn3+", "Re3+", -0.2384992641], + ["Re3+", "Mn3+", -0.2384992641], + ["Mn3+", "Re6+", 0.1746969939], + ["Re6+", "Mn3+", 0.1746969939], + ["Mn3+", "Re2+", -0.0408047772], + ["Re2+", "Mn3+", -0.0408047772], + ["Mn3+", "Re4+", 0.1040622623], + ["Re4+", "Mn3+", 0.1040622623], + ["Mn3+", "Re7+", 0.3539546194], + ["Re7+", "Mn3+", 0.3539546194], + ["Mn3+", "Os7+", 0.2955911995], + ["Os7+", "Mn3+", 0.2955911995], + ["Mn3+", "Os6+", 0.2327300728], + ["Os6+", "Mn3+", 0.2327300728], + ["Mn3+", "Os5+", 0.3854831203], + ["Os5+", "Mn3+", 0.3854831203], + ["Mn3+", "Os2-", -0.1992074807], + ["Os2-", "Mn3+", -0.1992074807], + ["Mn3+", "Os3+", 0.0631397835], + ["Os3+", "Mn3+", 0.0631397835], + ["Mn3+", "Os4+", 0.0566562268], + ["Os4+", "Mn3+", 0.0566562268], + ["Mn3+", "Os8+", 0.1676975314], + ["Os8+", "Mn3+", 0.1676975314], + ["Mn3+", "Os2+", 0.0907403595], + ["Os2+", "Mn3+", 0.0907403595], + ["Mn3+", "Ir3+", 0.1340595935], + ["Ir3+", "Mn3+", 0.1340595935], + ["Mn3+", "Ir4+", 0.2534303428], + ["Ir4+", "Mn3+", 0.2534303428], + ["Mn3+", "Ir5+", 0.2160308732], + ["Ir5+", "Mn3+", 0.2160308732], + ["Mn3+", "Ir6+", 0.2330524383], + ["Ir6+", "Mn3+", 0.2330524383], + ["Mn3+", "Pt2+", -0.0660390124], + ["Pt2+", "Mn3+", -0.0660390124], + ["Mn3+", "Pt2-", -0.3206583982], + ["Pt2-", "Mn3+", -0.3206583982], + ["Mn3+", "Pt4+", 0.3697515864], + ["Pt4+", "Mn3+", 0.3697515864], + ["Mn3+", "Pt3+", 0.3819280138], + ["Pt3+", "Mn3+", 0.3819280138], + ["Mn3+", "Pt5+", 0.2558652225], + ["Pt5+", "Mn3+", 0.2558652225], + ["Mn3+", "Pt6+", 0.18301822], + ["Pt6+", "Mn3+", 0.18301822], + ["Mn3+", "Au2+", 0.2285475785], + ["Au2+", "Mn3+", 0.2285475785], + ["Mn3+", "Au3+", 0.3421737217], + ["Au3+", "Mn3+", 0.3421737217], + ["Mn3+", "Au5+", 0.2429522191], + ["Au5+", "Mn3+", 0.2429522191], + ["Mn3+", "Au4+", 0.1419450825], + ["Au4+", "Mn3+", 0.1419450825], + ["Mn3+", "Hg2+", -0.0055269088], + ["Hg2+", "Mn3+", -0.0055269088], + ["Mn3+", "Tl3+", 0.3574962136], + ["Tl3+", "Mn3+", 0.3574962136], + ["Mn3+", "Tl2+", 0.3418691234], + ["Tl2+", "Mn3+", 0.3418691234], + ["Mn3+", "Pb2+", 0.2961909636], + ["Pb2+", "Mn3+", 0.2961909636], + ["Mn3+", "Pb3+", 0.1757519449], + ["Pb3+", "Mn3+", 0.1757519449], + ["Mn3+", "Pb4+", 0.2525609032], + ["Pb4+", "Mn3+", 0.2525609032], + ["Mn3+", "Bi3+", 0.3327466698], + ["Bi3+", "Mn3+", 0.3327466698], + ["Mn3+", "Bi5+", 0.4289638338], + ["Bi5+", "Mn3+", 0.4289638338], + ["Mn3+", "Bi2+", 0.0047461827], + ["Bi2+", "Mn3+", 0.0047461827], + ["Mn3+", "Bi3-", -0.0684198328], + ["Bi3-", "Mn3+", -0.0684198328], + ["Mn3+", "Bi4+", 0.4961532858], + ["Bi4+", "Mn3+", 0.4961532858], + ["Mn3+", "Ac3+", -0.0690808538], + ["Ac3+", "Mn3+", -0.0690808538], + ["Mn3+", "Th4+", 0.424814016], + ["Th4+", "Mn3+", 0.424814016], + ["Mn3+", "Th3+", 0.1710863341], + ["Th3+", "Mn3+", 0.1710863341], + ["Mn3+", "Pa4+", 0.1541372144], + ["Pa4+", "Mn3+", 0.1541372144], + ["Mn3+", "Pa5+", 0.3449463856], + ["Pa5+", "Mn3+", 0.3449463856], + ["Mn3+", "Pa3+", -0.0838942086], + ["Pa3+", "Mn3+", -0.0838942086], + ["Mn3+", "U6+", 0.499949796], + ["U6+", "Mn3+", 0.499949796], + ["Mn3+", "U4+", 0.2080879554], + ["U4+", "Mn3+", 0.2080879554], + ["Mn3+", "U3+", -0.0026482876], + ["U3+", "Mn3+", -0.0026482876], + ["Mn3+", "U2+", -0.0122800265], + ["U2+", "Mn3+", -0.0122800265], + ["Mn3+", "U5+", 0.3584221936], + ["U5+", "Mn3+", 0.3584221936], + ["Mn3+", "Np6+", 0.4014894083], + ["Np6+", "Mn3+", 0.4014894083], + ["Mn3+", "Np4+", 0.4517509065], + ["Np4+", "Mn3+", 0.4517509065], + ["Mn3+", "Np3+", -0.0086147991], + ["Np3+", "Mn3+", -0.0086147991], + ["Mn3+", "Np7+", 0.2179957471], + ["Np7+", "Mn3+", 0.2179957471], + ["Mn3+", "Np5+", 0.2772972222], + ["Np5+", "Mn3+", 0.2772972222], + ["Mn3+", "Pu7+", 0.4204423932], + ["Pu7+", "Mn3+", 0.4204423932], + ["Mn3+", "Pu6+", 0.0640816574], + ["Pu6+", "Mn3+", 0.0640816574], + ["Mn3+", "Pu3+", 0.0875533617], + ["Pu3+", "Mn3+", 0.0875533617], + ["Mn3+", "Pu4+", 0.3898800623], + ["Pu4+", "Mn3+", 0.3898800623], + ["Mn3+", "Pu5+", 0.1180959898], + ["Pu5+", "Mn3+", 0.1180959898], + ["Mn3+", "H1+", 0.3809979044], + ["H1+", "Mn3+", 0.3809979044], + ["Mn3+", "H1-", -0.048993157], + ["H1-", "Mn3+", -0.048993157], + ["Mn3+", "Li1+", 0.6170807862], + ["Li1+", "Mn3+", 0.6170807862], + ["Mn3+", "B1+", 0.0453375745], + ["B1+", "Mn3+", 0.0453375745], + ["Mn3+", "B1-", -0.1613495742], + ["B1-", "Mn3+", -0.1613495742], + ["Mn3+", "C1-", -0.1189949725], + ["C1-", "Mn3+", -0.1189949725], + ["Mn3+", "C1+", 0.2728895456], + ["C1+", "Mn3+", 0.2728895456], + ["Mn3+", "N1-", 0.0387076763], + ["N1-", "Mn3+", 0.0387076763], + ["Mn3+", "N1+", 0.162651752], + ["N1+", "Mn3+", 0.162651752], + ["Mn3+", "O1-", 0.0828487121], + ["O1-", "Mn3+", 0.0828487121], + ["Mn3+", "F1-", -0.056001185], + ["F1-", "Mn3+", -0.056001185], + ["Mn3+", "Na1+", 0.5392502106], + ["Na1+", "Mn3+", 0.5392502106], + ["Mn3+", "Si1-", -0.1415918412], + ["Si1-", "Mn3+", -0.1415918412], + ["Mn3+", "P1+", 0.0701036123], + ["P1+", "Mn3+", 0.0701036123], + ["Mn3+", "P1-", -0.2272510828], + ["P1-", "Mn3+", -0.2272510828], + ["Mn3+", "S1-", -0.04426974], + ["S1-", "Mn3+", -0.04426974], + ["Mn3+", "S1+", 0.0397822563], + ["S1+", "Mn3+", 0.0397822563], + ["Mn3+", "Cl1-", -0.0517344866], + ["Cl1-", "Mn3+", -0.0517344866], + ["Mn3+", "K1+", 0.2935601097], + ["K1+", "Mn3+", 0.2935601097], + ["Mn3+", "Sc1+", -0.0789289145], + ["Sc1+", "Mn3+", -0.0789289145], + ["Mn3+", "Mn1+", 0.352974099], + ["Mn1+", "Mn3+", 0.352974099], + ["Mn3+", "Fe1+", 0.0608897797], + ["Fe1+", "Mn3+", 0.0608897797], + ["Mn3+", "Co1+", 0.0761538864], + ["Co1+", "Mn3+", 0.0761538864], + ["Mn3+", "Ni1+", 0.0214880292], + ["Ni1+", "Mn3+", 0.0214880292], + ["Mn3+", "Cu1+", 0.0082949371], + ["Cu1+", "Mn3+", 0.0082949371], + ["Mn3+", "Ga1+", -0.024198084], + ["Ga1+", "Mn3+", -0.024198084], + ["Mn3+", "As1-", -0.2226536442], + ["As1-", "Mn3+", -0.2226536442], + ["Mn3+", "As1+", -0.0118152341], + ["As1+", "Mn3+", -0.0118152341], + ["Mn3+", "Se1-", -0.1572259809], + ["Se1-", "Mn3+", -0.1572259809], + ["Mn3+", "Se1+", 0.0465901988], + ["Se1+", "Mn3+", 0.0465901988], + ["Mn3+", "Br1-", -0.0475471202], + ["Br1-", "Mn3+", -0.0475471202], + ["Mn3+", "Br1+", 0.1400400575], + ["Br1+", "Mn3+", 0.1400400575], + ["Mn3+", "Rb1+", 0.1871904518], + ["Rb1+", "Mn3+", 0.1871904518], + ["Mn3+", "Y1+", 0.4145653891], + ["Y1+", "Mn3+", 0.4145653891], + ["Mn3+", "Zr1+", 0.0062017368], + ["Zr1+", "Mn3+", 0.0062017368], + ["Mn3+", "Nb1+", 0.127279792], + ["Nb1+", "Mn3+", 0.127279792], + ["Mn3+", "Tc1-", -0.1666875741], + ["Tc1-", "Mn3+", -0.1666875741], + ["Mn3+", "Tc1+", 0.0643941695], + ["Tc1+", "Mn3+", 0.0643941695], + ["Mn3+", "Rh1+", -0.1062733777], + ["Rh1+", "Mn3+", -0.1062733777], + ["Mn3+", "Ag1+", 0.2209537411], + ["Ag1+", "Mn3+", 0.2209537411], + ["Mn3+", "In1+", -0.2249813314], + ["In1+", "Mn3+", -0.2249813314], + ["Mn3+", "Sb1-", -0.2982364287], + ["Sb1-", "Mn3+", -0.2982364287], + ["Mn3+", "Sb1+", 0.2750946373], + ["Sb1+", "Mn3+", 0.2750946373], + ["Mn3+", "Te1-", -0.1210231551], + ["Te1-", "Mn3+", -0.1210231551], + ["Mn3+", "Te1+", -0.1005101701], + ["Te1+", "Mn3+", -0.1005101701], + ["Mn3+", "I1-", -0.0903159596], + ["I1-", "Mn3+", -0.0903159596], + ["Mn3+", "I1+", 0.1161653296], + ["I1+", "Mn3+", 0.1161653296], + ["Mn3+", "Cs1+", 0.1355586713], + ["Cs1+", "Mn3+", 0.1355586713], + ["Mn3+", "La1+", -0.1030424283], + ["La1+", "Mn3+", -0.1030424283], + ["Mn3+", "Tb1+", -0.0610443147], + ["Tb1+", "Mn3+", -0.0610443147], + ["Mn3+", "Ta1+", -0.0785061788], + ["Ta1+", "Mn3+", -0.0785061788], + ["Mn3+", "Os1-", -0.132520574], + ["Os1-", "Mn3+", -0.132520574], + ["Mn3+", "Os1+", 0.1099162117], + ["Os1+", "Mn3+", 0.1099162117], + ["Mn3+", "Pt1-", -0.2525608294], + ["Pt1-", "Mn3+", -0.2525608294], + ["Mn3+", "Pt1+", 0.2423245066], + ["Pt1+", "Mn3+", 0.2423245066], + ["Mn3+", "Au1-", -0.0773492623], + ["Au1-", "Mn3+", -0.0773492623], + ["Mn3+", "Au1+", 0.0409672614], + ["Au1+", "Mn3+", 0.0409672614], + ["Mn3+", "Hg1+", 0.3050833284], + ["Hg1+", "Mn3+", 0.3050833284], + ["Mn3+", "Tl1+", 0.1506343799], + ["Tl1+", "Mn3+", 0.1506343799], + ["Mn3+", "Bi1+", -0.2510660237], + ["Bi1+", "Mn3+", -0.2510660237], + ["Mn4+", "Mn4+", 1.0], + ["Mn4+", "Mn7+", 0.5192920326], + ["Mn7+", "Mn4+", 0.5192920326], + ["Mn4+", "Mn6+", 0.5540200591], + ["Mn6+", "Mn4+", 0.5540200591], + ["Mn4+", "Mn5+", 0.5099887214], + ["Mn5+", "Mn4+", 0.5099887214], + ["Mn4+", "Fe2+", 0.407622147], + ["Fe2+", "Mn4+", 0.407622147], + ["Mn4+", "Fe3+", 0.5870170537], + ["Fe3+", "Mn4+", 0.5870170537], + ["Mn4+", "Fe4+", 0.7102837519], + ["Fe4+", "Mn4+", 0.7102837519], + ["Mn4+", "Fe6+", 0.1986645885], + ["Fe6+", "Mn4+", 0.1986645885], + ["Mn4+", "Fe5+", 0.2017314603], + ["Fe5+", "Mn4+", 0.2017314603], + ["Mn4+", "Co2+", 0.5030096908], + ["Co2+", "Mn4+", 0.5030096908], + ["Mn4+", "Co4+", 0.5467883204], + ["Co4+", "Mn4+", 0.5467883204], + ["Mn4+", "Co3+", 0.5348882741], + ["Co3+", "Mn4+", 0.5348882741], + ["Mn4+", "Ni2+", 0.4046400726], + ["Ni2+", "Mn4+", 0.4046400726], + ["Mn4+", "Ni4+", 0.5557038179], + ["Ni4+", "Mn4+", 0.5557038179], + ["Mn4+", "Ni3+", 0.5094228708], + ["Ni3+", "Mn4+", 0.5094228708], + ["Mn4+", "Cu2+", 0.3424861468], + ["Cu2+", "Mn4+", 0.3424861468], + ["Mn4+", "Cu3+", 0.4265758115], + ["Cu3+", "Mn4+", 0.4265758115], + ["Mn4+", "Zn2+", 0.2595372721], + ["Zn2+", "Mn4+", 0.2595372721], + ["Mn4+", "Ga3+", 0.1697934514], + ["Ga3+", "Mn4+", 0.1697934514], + ["Mn4+", "Ga4+", 0.1999736842], + ["Ga4+", "Mn4+", 0.1999736842], + ["Mn4+", "Ga2+", -0.1562711079], + ["Ga2+", "Mn4+", -0.1562711079], + ["Mn4+", "Ge4-", -0.1128809075], + ["Ge4-", "Mn4+", -0.1128809075], + ["Mn4+", "Ge4+", 0.3251836639], + ["Ge4+", "Mn4+", 0.3251836639], + ["Mn4+", "Ge2-", -0.0421608852], + ["Ge2-", "Mn4+", -0.0421608852], + ["Mn4+", "Ge2+", 0.0272737783], + ["Ge2+", "Mn4+", 0.0272737783], + ["Mn4+", "Ge3+", -0.0536192717], + ["Ge3+", "Mn4+", -0.0536192717], + ["Mn4+", "As2-", -0.1043910964], + ["As2-", "Mn4+", -0.1043910964], + ["Mn4+", "As3+", 0.0113390278], + ["As3+", "Mn4+", 0.0113390278], + ["Mn4+", "As5+", 0.503937161], + ["As5+", "Mn4+", 0.503937161], + ["Mn4+", "As3-", -0.254446684], + ["As3-", "Mn4+", -0.254446684], + ["Mn4+", "As2+", 0.0842234669], + ["As2+", "Mn4+", 0.0842234669], + ["Mn4+", "As4+", 0.320552752], + ["As4+", "Mn4+", 0.320552752], + ["Mn4+", "Se2-", -0.2020305879], + ["Se2-", "Mn4+", -0.2020305879], + ["Mn4+", "Se4+", 0.5539897477], + ["Se4+", "Mn4+", 0.5539897477], + ["Mn4+", "Se6+", 0.4761094359], + ["Se6+", "Mn4+", 0.4761094359], + ["Mn4+", "Se5+", 0.5133978129], + ["Se5+", "Mn4+", 0.5133978129], + ["Mn4+", "Se2+", -0.1048223179], + ["Se2+", "Mn4+", -0.1048223179], + ["Mn4+", "Se3+", 0.3148336875], + ["Se3+", "Mn4+", 0.3148336875], + ["Mn4+", "Br2+", 0.02938845], + ["Br2+", "Mn4+", 0.02938845], + ["Mn4+", "Br5+", 0.4524905389], + ["Br5+", "Mn4+", 0.4524905389], + ["Mn4+", "Br3+", 0.3859305043], + ["Br3+", "Mn4+", 0.3859305043], + ["Mn4+", "Sr2+", 0.4274325806], + ["Sr2+", "Mn4+", 0.4274325806], + ["Mn4+", "Y3+", 0.4288318983], + ["Y3+", "Mn4+", 0.4288318983], + ["Mn4+", "Y2+", 0.4453499111], + ["Y2+", "Mn4+", 0.4453499111], + ["Mn4+", "Zr2+", -0.2331177769], + ["Zr2+", "Mn4+", -0.2331177769], + ["Mn4+", "Zr4+", 0.4265223189], + ["Zr4+", "Mn4+", 0.4265223189], + ["Mn4+", "Zr3+", -0.0859594906], + ["Zr3+", "Mn4+", -0.0859594906], + ["Mn4+", "Nb5+", 0.4793627992], + ["Nb5+", "Mn4+", 0.4793627992], + ["Mn4+", "Nb3+", 0.0924099136], + ["Nb3+", "Mn4+", 0.0924099136], + ["Mn4+", "Nb4+", 0.2438723401], + ["Nb4+", "Mn4+", 0.2438723401], + ["Mn4+", "Nb2+", 0.0712903225], + ["Nb2+", "Mn4+", 0.0712903225], + ["Mn4+", "Nb7+", 0.357639736], + ["Nb7+", "Mn4+", 0.357639736], + ["Mn4+", "Mo3+", 0.1235557474], + ["Mo3+", "Mn4+", 0.1235557474], + ["Mn4+", "Mo4+", 0.3283593021], + ["Mo4+", "Mn4+", 0.3283593021], + ["Mn4+", "Mo6+", 0.3960114865], + ["Mo6+", "Mn4+", 0.3960114865], + ["Mn4+", "Mo5+", 0.4463353345], + ["Mo5+", "Mn4+", 0.4463353345], + ["Mn4+", "Mo2+", -0.0067578279], + ["Mo2+", "Mn4+", -0.0067578279], + ["Mn4+", "Tc4+", 0.4075301485], + ["Tc4+", "Mn4+", 0.4075301485], + ["Mn4+", "Tc3-", -0.2341182845], + ["Tc3-", "Mn4+", -0.2341182845], + ["Mn4+", "Tc3+", -0.0599319892], + ["Tc3+", "Mn4+", -0.0599319892], + ["Mn4+", "Tc7+", 0.3590453429], + ["Tc7+", "Mn4+", 0.3590453429], + ["Mn4+", "Tc5+", 0.1818702241], + ["Tc5+", "Mn4+", 0.1818702241], + ["Mn4+", "Tc6+", 0.0438671862], + ["Tc6+", "Mn4+", 0.0438671862], + ["Mn4+", "Tc2-", -0.0773930604], + ["Tc2-", "Mn4+", -0.0773930604], + ["Mn4+", "Tc2+", 0.0901902298], + ["Tc2+", "Mn4+", 0.0901902298], + ["Mn4+", "Ru2+", 0.0058612501], + ["Ru2+", "Mn4+", 0.0058612501], + ["Mn4+", "Ru6+", 0.2100338098], + ["Ru6+", "Mn4+", 0.2100338098], + ["Mn4+", "Ru4+", 0.3325986187], + ["Ru4+", "Mn4+", 0.3325986187], + ["Mn4+", "Ru5+", 0.3209598548], + ["Ru5+", "Mn4+", 0.3209598548], + ["Mn4+", "Ru3+", 0.2473163453], + ["Ru3+", "Mn4+", 0.2473163453], + ["Mn4+", "Rh4+", 0.2653100986], + ["Rh4+", "Mn4+", 0.2653100986], + ["Mn4+", "Rh3+", 0.1618630228], + ["Rh3+", "Mn4+", 0.1618630228], + ["Mn4+", "Pd2+", 0.0328565787], + ["Pd2+", "Mn4+", 0.0328565787], + ["Mn4+", "Pd4+", 0.1074955209], + ["Pd4+", "Mn4+", 0.1074955209], + ["Mn4+", "Pd3+", 0.1454545904], + ["Pd3+", "Mn4+", 0.1454545904], + ["Mn4+", "Ag3+", 0.4249432786], + ["Ag3+", "Mn4+", 0.4249432786], + ["Mn4+", "Ag2+", 0.3237770529], + ["Ag2+", "Mn4+", 0.3237770529], + ["Mn4+", "Cd2+", 0.1475245361], + ["Cd2+", "Mn4+", 0.1475245361], + ["Mn4+", "In3+", 0.1548219074], + ["In3+", "Mn4+", 0.1548219074], + ["Mn4+", "In2+", -0.1367849845], + ["In2+", "Mn4+", -0.1367849845], + ["Mn4+", "Sn4+", 0.1841627638], + ["Sn4+", "Mn4+", 0.1841627638], + ["Mn4+", "Sn3+", 0.330517563], + ["Sn3+", "Mn4+", 0.330517563], + ["Mn4+", "Sn2+", 0.0573285789], + ["Sn2+", "Mn4+", 0.0573285789], + ["Mn4+", "Sb5+", 0.4667915759], + ["Sb5+", "Mn4+", 0.4667915759], + ["Mn4+", "Sb2-", -0.0655905652], + ["Sb2-", "Mn4+", -0.0655905652], + ["Mn4+", "Sb3-", -0.269809019], + ["Sb3-", "Mn4+", -0.269809019], + ["Mn4+", "Sb3+", 0.133045321], + ["Sb3+", "Mn4+", 0.133045321], + ["Mn4+", "Sb4+", 0.449002308], + ["Sb4+", "Mn4+", 0.449002308], + ["Mn4+", "Te2-", -0.0907003574], + ["Te2-", "Mn4+", -0.0907003574], + ["Mn4+", "Te4+", 0.3773917303], + ["Te4+", "Mn4+", 0.3773917303], + ["Mn4+", "Te6+", 0.5497971476], + ["Te6+", "Mn4+", 0.5497971476], + ["Mn4+", "Te2+", -0.1212291686], + ["Te2+", "Mn4+", -0.1212291686], + ["Mn4+", "Te5+", 0.293876719], + ["Te5+", "Mn4+", 0.293876719], + ["Mn4+", "I3+", 0.2156019306], + ["I3+", "Mn4+", 0.2156019306], + ["Mn4+", "I7+", 0.4190080619], + ["I7+", "Mn4+", 0.4190080619], + ["Mn4+", "I5+", 0.5026715139], + ["I5+", "Mn4+", 0.5026715139], + ["Mn4+", "I2+", 0.2426594397], + ["I2+", "Mn4+", 0.2426594397], + ["Mn4+", "Ba2+", 0.3309455156], + ["Ba2+", "Mn4+", 0.3309455156], + ["Mn4+", "La3+", 0.2916363927], + ["La3+", "Mn4+", 0.2916363927], + ["Mn4+", "La2+", 0.1936314622], + ["La2+", "Mn4+", 0.1936314622], + ["Mn4+", "Ce3+", 0.0162872713], + ["Ce3+", "Mn4+", 0.0162872713], + ["Mn4+", "Ce2+", -0.0027419633], + ["Ce2+", "Mn4+", -0.0027419633], + ["Mn4+", "Ce4+", 0.2854491105], + ["Ce4+", "Mn4+", 0.2854491105], + ["Mn4+", "Pr3+", 0.1568680654], + ["Pr3+", "Mn4+", 0.1568680654], + ["Mn4+", "Pr4+", 0.4758587476], + ["Pr4+", "Mn4+", 0.4758587476], + ["Mn4+", "Pr2+", 0.1836819352], + ["Pr2+", "Mn4+", 0.1836819352], + ["Mn4+", "Nd3+", 0.2915957101], + ["Nd3+", "Mn4+", 0.2915957101], + ["Mn4+", "Nd2+", 0.1895987733], + ["Nd2+", "Mn4+", 0.1895987733], + ["Mn4+", "Pm3+", 0.0435794021], + ["Pm3+", "Mn4+", 0.0435794021], + ["Mn4+", "Sm3+", 0.2068301188], + ["Sm3+", "Mn4+", 0.2068301188], + ["Mn4+", "Sm2+", -0.063334649], + ["Sm2+", "Mn4+", -0.063334649], + ["Mn4+", "Eu2+", 0.0820174538], + ["Eu2+", "Mn4+", 0.0820174538], + ["Mn4+", "Eu3+", 0.4170517403], + ["Eu3+", "Mn4+", 0.4170517403], + ["Mn4+", "Gd2+", 0.0102806547], + ["Gd2+", "Mn4+", 0.0102806547], + ["Mn4+", "Gd3+", 0.3250740278], + ["Gd3+", "Mn4+", 0.3250740278], + ["Mn4+", "Tb3+", 0.167372366], + ["Tb3+", "Mn4+", 0.167372366], + ["Mn4+", "Tb2+", 0.0070755031], + ["Tb2+", "Mn4+", 0.0070755031], + ["Mn4+", "Tb4+", 0.5038976906], + ["Tb4+", "Mn4+", 0.5038976906], + ["Mn4+", "Dy3+", 0.1605827323], + ["Dy3+", "Mn4+", 0.1605827323], + ["Mn4+", "Dy2+", 0.0541375895], + ["Dy2+", "Mn4+", 0.0541375895], + ["Mn4+", "Ho3+", 0.2351943408], + ["Ho3+", "Mn4+", 0.2351943408], + ["Mn4+", "Ho2+", 0.077151612], + ["Ho2+", "Mn4+", 0.077151612], + ["Mn4+", "Er3+", 0.2635439518], + ["Er3+", "Mn4+", 0.2635439518], + ["Mn4+", "Tm3+", 0.2255868579], + ["Tm3+", "Mn4+", 0.2255868579], + ["Mn4+", "Tm2+", -0.0533669811], + ["Tm2+", "Mn4+", -0.0533669811], + ["Mn4+", "Yb3+", 0.1969460227], + ["Yb3+", "Mn4+", 0.1969460227], + ["Mn4+", "Yb2+", -0.3163020849], + ["Yb2+", "Mn4+", -0.3163020849], + ["Mn4+", "Lu3+", 0.2400451621], + ["Lu3+", "Mn4+", 0.2400451621], + ["Mn4+", "Hf3+", 0.026329431], + ["Hf3+", "Mn4+", 0.026329431], + ["Mn4+", "Hf2+", 0.3079088853], + ["Hf2+", "Mn4+", 0.3079088853], + ["Mn4+", "Hf4+", 0.4263999385], + ["Hf4+", "Mn4+", 0.4263999385], + ["Mn4+", "Ta5+", 0.4781023395], + ["Ta5+", "Mn4+", 0.4781023395], + ["Mn4+", "Ta3+", -0.0928607103], + ["Ta3+", "Mn4+", -0.0928607103], + ["Mn4+", "Ta4+", 0.0867939335], + ["Ta4+", "Mn4+", 0.0867939335], + ["Mn4+", "Ta2+", -0.1730060303], + ["Ta2+", "Mn4+", -0.1730060303], + ["Mn4+", "W6+", 0.4905683073], + ["W6+", "Mn4+", 0.4905683073], + ["Mn4+", "W4+", 0.3051065611], + ["W4+", "Mn4+", 0.3051065611], + ["Mn4+", "W2+", -0.017430461], + ["W2+", "Mn4+", -0.017430461], + ["Mn4+", "W3+", 0.2649612496], + ["W3+", "Mn4+", 0.2649612496], + ["Mn4+", "W5+", 0.4214859378], + ["W5+", "Mn4+", 0.4214859378], + ["Mn4+", "Re5+", 0.2411194655], + ["Re5+", "Mn4+", 0.2411194655], + ["Mn4+", "Re3+", -0.1706148641], + ["Re3+", "Mn4+", -0.1706148641], + ["Mn4+", "Re6+", 0.1538776145], + ["Re6+", "Mn4+", 0.1538776145], + ["Mn4+", "Re2+", 0.150300841], + ["Re2+", "Mn4+", 0.150300841], + ["Mn4+", "Re4+", 0.1049190169], + ["Re4+", "Mn4+", 0.1049190169], + ["Mn4+", "Re7+", 0.2409482852], + ["Re7+", "Mn4+", 0.2409482852], + ["Mn4+", "Os7+", 0.217472265], + ["Os7+", "Mn4+", 0.217472265], + ["Mn4+", "Os6+", 0.2401576127], + ["Os6+", "Mn4+", 0.2401576127], + ["Mn4+", "Os5+", 0.2275804568], + ["Os5+", "Mn4+", 0.2275804568], + ["Mn4+", "Os2-", -0.2201480381], + ["Os2-", "Mn4+", -0.2201480381], + ["Mn4+", "Os3+", -0.01674143], + ["Os3+", "Mn4+", -0.01674143], + ["Mn4+", "Os4+", 0.138800683], + ["Os4+", "Mn4+", 0.138800683], + ["Mn4+", "Os8+", 0.2241571294], + ["Os8+", "Mn4+", 0.2241571294], + ["Mn4+", "Os2+", 0.2114616243], + ["Os2+", "Mn4+", 0.2114616243], + ["Mn4+", "Ir3+", 0.0109240038], + ["Ir3+", "Mn4+", 0.0109240038], + ["Mn4+", "Ir4+", 0.2661995028], + ["Ir4+", "Mn4+", 0.2661995028], + ["Mn4+", "Ir5+", 0.1840720869], + ["Ir5+", "Mn4+", 0.1840720869], + ["Mn4+", "Ir6+", 0.1641536731], + ["Ir6+", "Mn4+", 0.1641536731], + ["Mn4+", "Pt2+", -0.0975320743], + ["Pt2+", "Mn4+", -0.0975320743], + ["Mn4+", "Pt2-", -0.3728018701], + ["Pt2-", "Mn4+", -0.3728018701], + ["Mn4+", "Pt4+", 0.2756000875], + ["Pt4+", "Mn4+", 0.2756000875], + ["Mn4+", "Pt3+", 0.4214925214], + ["Pt3+", "Mn4+", 0.4214925214], + ["Mn4+", "Pt5+", 0.0370334311], + ["Pt5+", "Mn4+", 0.0370334311], + ["Mn4+", "Pt6+", 0.2447590882], + ["Pt6+", "Mn4+", 0.2447590882], + ["Mn4+", "Au2+", 0.0346120053], + ["Au2+", "Mn4+", 0.0346120053], + ["Mn4+", "Au3+", 0.1066967641], + ["Au3+", "Mn4+", 0.1066967641], + ["Mn4+", "Au5+", 0.0318462225], + ["Au5+", "Mn4+", 0.0318462225], + ["Mn4+", "Au4+", -0.1171731779], + ["Au4+", "Mn4+", -0.1171731779], + ["Mn4+", "Hg2+", -0.0171358399], + ["Hg2+", "Mn4+", -0.0171358399], + ["Mn4+", "Tl3+", 0.3013792444], + ["Tl3+", "Mn4+", 0.3013792444], + ["Mn4+", "Tl2+", 0.2398062183], + ["Tl2+", "Mn4+", 0.2398062183], + ["Mn4+", "Pb2+", 0.243710112], + ["Pb2+", "Mn4+", 0.243710112], + ["Mn4+", "Pb3+", 0.3123904974], + ["Pb3+", "Mn4+", 0.3123904974], + ["Mn4+", "Pb4+", 0.3157078727], + ["Pb4+", "Mn4+", 0.3157078727], + ["Mn4+", "Bi3+", 0.3536389933], + ["Bi3+", "Mn4+", 0.3536389933], + ["Mn4+", "Bi5+", 0.5856589334], + ["Bi5+", "Mn4+", 0.5856589334], + ["Mn4+", "Bi2+", 0.0495984754], + ["Bi2+", "Mn4+", 0.0495984754], + ["Mn4+", "Bi3-", -0.1106890852], + ["Bi3-", "Mn4+", -0.1106890852], + ["Mn4+", "Bi4+", 0.5052556361], + ["Bi4+", "Mn4+", 0.5052556361], + ["Mn4+", "Ac3+", -0.0684382126], + ["Ac3+", "Mn4+", -0.0684382126], + ["Mn4+", "Th4+", 0.2308354115], + ["Th4+", "Mn4+", 0.2308354115], + ["Mn4+", "Th3+", -0.1069330712], + ["Th3+", "Mn4+", -0.1069330712], + ["Mn4+", "Pa4+", 0.1080207615], + ["Pa4+", "Mn4+", 0.1080207615], + ["Mn4+", "Pa5+", 0.2785903441], + ["Pa5+", "Mn4+", 0.2785903441], + ["Mn4+", "Pa3+", 0.059666728], + ["Pa3+", "Mn4+", 0.059666728], + ["Mn4+", "U6+", 0.3945238812], + ["U6+", "Mn4+", 0.3945238812], + ["Mn4+", "U4+", 0.0222387519], + ["U4+", "Mn4+", 0.0222387519], + ["Mn4+", "U3+", -0.3219703674], + ["U3+", "Mn4+", -0.3219703674], + ["Mn4+", "U2+", -0.1867860532], + ["U2+", "Mn4+", -0.1867860532], + ["Mn4+", "U5+", 0.4692610595], + ["U5+", "Mn4+", 0.4692610595], + ["Mn4+", "Np6+", 0.2703467765], + ["Np6+", "Mn4+", 0.2703467765], + ["Mn4+", "Np4+", 0.3134257193], + ["Np4+", "Mn4+", 0.3134257193], + ["Mn4+", "Np3+", -0.2168460446], + ["Np3+", "Mn4+", -0.2168460446], + ["Mn4+", "Np7+", 0.2810714247], + ["Np7+", "Mn4+", 0.2810714247], + ["Mn4+", "Np5+", 0.2271928074], + ["Np5+", "Mn4+", 0.2271928074], + ["Mn4+", "Pu7+", 0.5321498759], + ["Pu7+", "Mn4+", 0.5321498759], + ["Mn4+", "Pu6+", 0.1138932394], + ["Pu6+", "Mn4+", 0.1138932394], + ["Mn4+", "Pu3+", -0.0742242771], + ["Pu3+", "Mn4+", -0.0742242771], + ["Mn4+", "Pu4+", 0.3518048511], + ["Pu4+", "Mn4+", 0.3518048511], + ["Mn4+", "Pu5+", 0.1950370929], + ["Pu5+", "Mn4+", 0.1950370929], + ["Mn4+", "H1+", 0.4345069759], + ["H1+", "Mn4+", 0.4345069759], + ["Mn4+", "H1-", -0.0066484568], + ["H1-", "Mn4+", -0.0066484568], + ["Mn4+", "Li1+", 0.5641071666], + ["Li1+", "Mn4+", 0.5641071666], + ["Mn4+", "B1+", 0.0120621529], + ["B1+", "Mn4+", 0.0120621529], + ["Mn4+", "B1-", 0.0592677424], + ["B1-", "Mn4+", 0.0592677424], + ["Mn4+", "C1-", 0.0277270728], + ["C1-", "Mn4+", 0.0277270728], + ["Mn4+", "C1+", 0.2456862248], + ["C1+", "Mn4+", 0.2456862248], + ["Mn4+", "N1-", -0.0668168578], + ["N1-", "Mn4+", -0.0668168578], + ["Mn4+", "N1+", 0.1623158778], + ["N1+", "Mn4+", 0.1623158778], + ["Mn4+", "O1-", 0.1339969947], + ["O1-", "Mn4+", 0.1339969947], + ["Mn4+", "F1-", -0.0999359058], + ["F1-", "Mn4+", -0.0999359058], + ["Mn4+", "Na1+", 0.5348860036], + ["Na1+", "Mn4+", 0.5348860036], + ["Mn4+", "Si1-", -0.104023088], + ["Si1-", "Mn4+", -0.104023088], + ["Mn4+", "P1+", 0.0274144427], + ["P1+", "Mn4+", 0.0274144427], + ["Mn4+", "P1-", 0.0171540562], + ["P1-", "Mn4+", 0.0171540562], + ["Mn4+", "S1-", -0.1362915619], + ["S1-", "Mn4+", -0.1362915619], + ["Mn4+", "S1+", 0.0511333484], + ["S1+", "Mn4+", 0.0511333484], + ["Mn4+", "Cl1-", -0.1252795237], + ["Cl1-", "Mn4+", -0.1252795237], + ["Mn4+", "K1+", 0.1895819197], + ["K1+", "Mn4+", 0.1895819197], + ["Mn4+", "Sc1+", -0.0219944157], + ["Sc1+", "Mn4+", -0.0219944157], + ["Mn4+", "Mn1+", 0.2705693747], + ["Mn1+", "Mn4+", 0.2705693747], + ["Mn4+", "Fe1+", 0.05668804], + ["Fe1+", "Mn4+", 0.05668804], + ["Mn4+", "Co1+", 0.0914675883], + ["Co1+", "Mn4+", 0.0914675883], + ["Mn4+", "Ni1+", -0.0903580321], + ["Ni1+", "Mn4+", -0.0903580321], + ["Mn4+", "Cu1+", -0.0810034673], + ["Cu1+", "Mn4+", -0.0810034673], + ["Mn4+", "Ga1+", -0.1254666409], + ["Ga1+", "Mn4+", -0.1254666409], + ["Mn4+", "As1-", -0.144513486], + ["As1-", "Mn4+", -0.144513486], + ["Mn4+", "As1+", 0.0500614319], + ["As1+", "Mn4+", 0.0500614319], + ["Mn4+", "Se1-", -0.2694652644], + ["Se1-", "Mn4+", -0.2694652644], + ["Mn4+", "Se1+", 0.2590153796], + ["Se1+", "Mn4+", 0.2590153796], + ["Mn4+", "Br1-", -0.1102639619], + ["Br1-", "Mn4+", -0.1102639619], + ["Mn4+", "Br1+", 0.1139617347], + ["Br1+", "Mn4+", 0.1139617347], + ["Mn4+", "Rb1+", 0.1183631166], + ["Rb1+", "Mn4+", 0.1183631166], + ["Mn4+", "Y1+", 0.1933614897], + ["Y1+", "Mn4+", 0.1933614897], + ["Mn4+", "Zr1+", -0.2849928967], + ["Zr1+", "Mn4+", -0.2849928967], + ["Mn4+", "Nb1+", 0.0490425666], + ["Nb1+", "Mn4+", 0.0490425666], + ["Mn4+", "Tc1-", -0.1734866205], + ["Tc1-", "Mn4+", -0.1734866205], + ["Mn4+", "Tc1+", 0.0423683613], + ["Tc1+", "Mn4+", 0.0423683613], + ["Mn4+", "Rh1+", -0.0700502443], + ["Rh1+", "Mn4+", -0.0700502443], + ["Mn4+", "Ag1+", 0.0794733289], + ["Ag1+", "Mn4+", 0.0794733289], + ["Mn4+", "In1+", -0.145079058], + ["In1+", "Mn4+", -0.145079058], + ["Mn4+", "Sb1-", -0.2718541472], + ["Sb1-", "Mn4+", -0.2718541472], + ["Mn4+", "Sb1+", 0.12467224], + ["Sb1+", "Mn4+", 0.12467224], + ["Mn4+", "Te1-", -0.1152917467], + ["Te1-", "Mn4+", -0.1152917467], + ["Mn4+", "Te1+", -0.0132243916], + ["Te1+", "Mn4+", -0.0132243916], + ["Mn4+", "I1-", 0.0059775072], + ["I1-", "Mn4+", 0.0059775072], + ["Mn4+", "I1+", 0.1128550227], + ["I1+", "Mn4+", 0.1128550227], + ["Mn4+", "Cs1+", 0.0029722354], + ["Cs1+", "Mn4+", 0.0029722354], + ["Mn4+", "La1+", -0.077916956], + ["La1+", "Mn4+", -0.077916956], + ["Mn4+", "Tb1+", -0.1527199496], + ["Tb1+", "Mn4+", -0.1527199496], + ["Mn4+", "Ta1+", -0.1957448446], + ["Ta1+", "Mn4+", -0.1957448446], + ["Mn4+", "Os1-", -0.2071243394], + ["Os1-", "Mn4+", -0.2071243394], + ["Mn4+", "Os1+", 0.0100006755], + ["Os1+", "Mn4+", 0.0100006755], + ["Mn4+", "Pt1-", -0.3379859749], + ["Pt1-", "Mn4+", -0.3379859749], + ["Mn4+", "Pt1+", 0.2020510788], + ["Pt1+", "Mn4+", 0.2020510788], + ["Mn4+", "Au1-", -0.2466523908], + ["Au1-", "Mn4+", -0.2466523908], + ["Mn4+", "Au1+", -0.1290099013], + ["Au1+", "Mn4+", -0.1290099013], + ["Mn4+", "Hg1+", 0.3033846551], + ["Hg1+", "Mn4+", 0.3033846551], + ["Mn4+", "Tl1+", 0.0135043076], + ["Tl1+", "Mn4+", 0.0135043076], + ["Mn4+", "Bi1+", -0.1027557511], + ["Bi1+", "Mn4+", -0.1027557511], + ["Mn7+", "Mn7+", 1.0], + ["Mn7+", "Mn6+", 0.4939137552], + ["Mn6+", "Mn7+", 0.4939137552], + ["Mn7+", "Mn5+", 0.3701053372], + ["Mn5+", "Mn7+", 0.3701053372], + ["Mn7+", "Fe2+", 0.2618387238], + ["Fe2+", "Mn7+", 0.2618387238], + ["Mn7+", "Fe3+", 0.4114290609], + ["Fe3+", "Mn7+", 0.4114290609], + ["Mn7+", "Fe4+", 0.4874865714], + ["Fe4+", "Mn7+", 0.4874865714], + ["Mn7+", "Fe6+", 0.3388780268], + ["Fe6+", "Mn7+", 0.3388780268], + ["Mn7+", "Fe5+", 0.1998687642], + ["Fe5+", "Mn7+", 0.1998687642], + ["Mn7+", "Co2+", 0.4907130445], + ["Co2+", "Mn7+", 0.4907130445], + ["Mn7+", "Co4+", 0.4456292633], + ["Co4+", "Mn7+", 0.4456292633], + ["Mn7+", "Co3+", 0.4677735338], + ["Co3+", "Mn7+", 0.4677735338], + ["Mn7+", "Ni2+", 0.4858507707], + ["Ni2+", "Mn7+", 0.4858507707], + ["Mn7+", "Ni4+", 0.2905181356], + ["Ni4+", "Mn7+", 0.2905181356], + ["Mn7+", "Ni3+", 0.4017376102], + ["Ni3+", "Mn7+", 0.4017376102], + ["Mn7+", "Cu2+", 0.3309486977], + ["Cu2+", "Mn7+", 0.3309486977], + ["Mn7+", "Cu3+", 0.4451357606], + ["Cu3+", "Mn7+", 0.4451357606], + ["Mn7+", "Zn2+", 0.1965407453], + ["Zn2+", "Mn7+", 0.1965407453], + ["Mn7+", "Ga3+", 0.2123727998], + ["Ga3+", "Mn7+", 0.2123727998], + ["Mn7+", "Ga4+", 0.256355587], + ["Ga4+", "Mn7+", 0.256355587], + ["Mn7+", "Ga2+", 0.0566569801], + ["Ga2+", "Mn7+", 0.0566569801], + ["Mn7+", "Ge4-", 0.0567093207], + ["Ge4-", "Mn7+", 0.0567093207], + ["Mn7+", "Ge4+", 0.4195853307], + ["Ge4+", "Mn7+", 0.4195853307], + ["Mn7+", "Ge2-", 0.1447760357], + ["Ge2-", "Mn7+", 0.1447760357], + ["Mn7+", "Ge2+", 0.0634429646], + ["Ge2+", "Mn7+", 0.0634429646], + ["Mn7+", "Ge3+", 0.1842292299], + ["Ge3+", "Mn7+", 0.1842292299], + ["Mn7+", "As2-", 0.1349764036], + ["As2-", "Mn7+", 0.1349764036], + ["Mn7+", "As3+", 0.0259453883], + ["As3+", "Mn7+", 0.0259453883], + ["Mn7+", "As5+", 0.2949942536], + ["As5+", "Mn7+", 0.2949942536], + ["Mn7+", "As3-", 0.0527487673], + ["As3-", "Mn7+", 0.0527487673], + ["Mn7+", "As2+", 0.0868994108], + ["As2+", "Mn7+", 0.0868994108], + ["Mn7+", "As4+", 0.2917631306], + ["As4+", "Mn7+", 0.2917631306], + ["Mn7+", "Se2-", 0.0245764314], + ["Se2-", "Mn7+", 0.0245764314], + ["Mn7+", "Se4+", 0.4248596753], + ["Se4+", "Mn7+", 0.4248596753], + ["Mn7+", "Se6+", 0.5067001073], + ["Se6+", "Mn7+", 0.5067001073], + ["Mn7+", "Se5+", 0.603367321], + ["Se5+", "Mn7+", 0.603367321], + ["Mn7+", "Se2+", 0.1998776945], + ["Se2+", "Mn7+", 0.1998776945], + ["Mn7+", "Se3+", 0.3672834759], + ["Se3+", "Mn7+", 0.3672834759], + ["Mn7+", "Br2+", 0.1829017424], + ["Br2+", "Mn7+", 0.1829017424], + ["Mn7+", "Br5+", 0.4351656667], + ["Br5+", "Mn7+", 0.4351656667], + ["Mn7+", "Br3+", 0.5120907884], + ["Br3+", "Mn7+", 0.5120907884], + ["Mn7+", "Sr2+", 0.3637772628], + ["Sr2+", "Mn7+", 0.3637772628], + ["Mn7+", "Y3+", 0.4025267708], + ["Y3+", "Mn7+", 0.4025267708], + ["Mn7+", "Y2+", 0.4692260809], + ["Y2+", "Mn7+", 0.4692260809], + ["Mn7+", "Zr2+", -0.1230275595], + ["Zr2+", "Mn7+", -0.1230275595], + ["Mn7+", "Zr4+", 0.3876107022], + ["Zr4+", "Mn7+", 0.3876107022], + ["Mn7+", "Zr3+", -0.0304564749], + ["Zr3+", "Mn7+", -0.0304564749], + ["Mn7+", "Nb5+", 0.4912074378], + ["Nb5+", "Mn7+", 0.4912074378], + ["Mn7+", "Nb3+", 0.0110559026], + ["Nb3+", "Mn7+", 0.0110559026], + ["Mn7+", "Nb4+", 0.1963794658], + ["Nb4+", "Mn7+", 0.1963794658], + ["Mn7+", "Nb2+", 0.1379347229], + ["Nb2+", "Mn7+", 0.1379347229], + ["Mn7+", "Nb7+", 0.4505985674], + ["Nb7+", "Mn7+", 0.4505985674], + ["Mn7+", "Mo3+", 0.1482710669], + ["Mo3+", "Mn7+", 0.1482710669], + ["Mn7+", "Mo4+", 0.342710448], + ["Mo4+", "Mn7+", 0.342710448], + ["Mn7+", "Mo6+", 0.2414621439], + ["Mo6+", "Mn7+", 0.2414621439], + ["Mn7+", "Mo5+", 0.2632287544], + ["Mo5+", "Mn7+", 0.2632287544], + ["Mn7+", "Mo2+", 0.1160597221], + ["Mo2+", "Mn7+", 0.1160597221], + ["Mn7+", "Tc4+", 0.1338952961], + ["Tc4+", "Mn7+", 0.1338952961], + ["Mn7+", "Tc3-", -0.0983696346], + ["Tc3-", "Mn7+", -0.0983696346], + ["Mn7+", "Tc3+", -0.0108325494], + ["Tc3+", "Mn7+", -0.0108325494], + ["Mn7+", "Tc7+", 0.3167959823], + ["Tc7+", "Mn7+", 0.3167959823], + ["Mn7+", "Tc5+", 0.2841074264], + ["Tc5+", "Mn7+", 0.2841074264], + ["Mn7+", "Tc6+", 0.0448857601], + ["Tc6+", "Mn7+", 0.0448857601], + ["Mn7+", "Tc2-", -0.1312788248], + ["Tc2-", "Mn7+", -0.1312788248], + ["Mn7+", "Tc2+", 0.0903335582], + ["Tc2+", "Mn7+", 0.0903335582], + ["Mn7+", "Ru2+", 0.1140798825], + ["Ru2+", "Mn7+", 0.1140798825], + ["Mn7+", "Ru6+", 0.5092201237], + ["Ru6+", "Mn7+", 0.5092201237], + ["Mn7+", "Ru4+", 0.2826441886], + ["Ru4+", "Mn7+", 0.2826441886], + ["Mn7+", "Ru5+", 0.3988447394], + ["Ru5+", "Mn7+", 0.3988447394], + ["Mn7+", "Ru3+", 0.1069164444], + ["Ru3+", "Mn7+", 0.1069164444], + ["Mn7+", "Rh4+", 0.2268522458], + ["Rh4+", "Mn7+", 0.2268522458], + ["Mn7+", "Rh3+", 0.1585191723], + ["Rh3+", "Mn7+", 0.1585191723], + ["Mn7+", "Pd2+", 0.0650531738], + ["Pd2+", "Mn7+", 0.0650531738], + ["Mn7+", "Pd4+", 0.1101093085], + ["Pd4+", "Mn7+", 0.1101093085], + ["Mn7+", "Pd3+", -0.0167427684], + ["Pd3+", "Mn7+", -0.0167427684], + ["Mn7+", "Ag3+", 0.4022782524], + ["Ag3+", "Mn7+", 0.4022782524], + ["Mn7+", "Ag2+", 0.090900672], + ["Ag2+", "Mn7+", 0.090900672], + ["Mn7+", "Cd2+", 0.1056079983], + ["Cd2+", "Mn7+", 0.1056079983], + ["Mn7+", "In3+", 0.2616044305], + ["In3+", "Mn7+", 0.2616044305], + ["Mn7+", "In2+", 0.0717329088], + ["In2+", "Mn7+", 0.0717329088], + ["Mn7+", "Sn4+", 0.3555139967], + ["Sn4+", "Mn7+", 0.3555139967], + ["Mn7+", "Sn3+", 0.3381641257], + ["Sn3+", "Mn7+", 0.3381641257], + ["Mn7+", "Sn2+", 0.1738430634], + ["Sn2+", "Mn7+", 0.1738430634], + ["Mn7+", "Sb5+", 0.423959976], + ["Sb5+", "Mn7+", 0.423959976], + ["Mn7+", "Sb2-", -0.0892016958], + ["Sb2-", "Mn7+", -0.0892016958], + ["Mn7+", "Sb3-", -0.0268587584], + ["Sb3-", "Mn7+", -0.0268587584], + ["Mn7+", "Sb3+", 0.15233444], + ["Sb3+", "Mn7+", 0.15233444], + ["Mn7+", "Sb4+", 0.4014759048], + ["Sb4+", "Mn7+", 0.4014759048], + ["Mn7+", "Te2-", 0.1004075561], + ["Te2-", "Mn7+", 0.1004075561], + ["Mn7+", "Te4+", 0.334203124], + ["Te4+", "Mn7+", 0.334203124], + ["Mn7+", "Te6+", 0.3212576728], + ["Te6+", "Mn7+", 0.3212576728], + 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0.1266182148], + ["Mn7+", "Nd3+", 0.3204652151], + ["Nd3+", "Mn7+", 0.3204652151], + ["Mn7+", "Nd2+", 0.2983039029], + ["Nd2+", "Mn7+", 0.2983039029], + ["Mn7+", "Pm3+", 0.2145679569], + ["Pm3+", "Mn7+", 0.2145679569], + ["Mn7+", "Sm3+", 0.2135715346], + ["Sm3+", "Mn7+", 0.2135715346], + ["Mn7+", "Sm2+", 0.0230636232], + ["Sm2+", "Mn7+", 0.0230636232], + ["Mn7+", "Eu2+", 0.2554384318], + ["Eu2+", "Mn7+", 0.2554384318], + ["Mn7+", "Eu3+", 0.4419980708], + ["Eu3+", "Mn7+", 0.4419980708], + ["Mn7+", "Gd2+", 0.0083161156], + ["Gd2+", "Mn7+", 0.0083161156], + ["Mn7+", "Gd3+", 0.265498116], + ["Gd3+", "Mn7+", 0.265498116], + ["Mn7+", "Tb3+", 0.1915162796], + ["Tb3+", "Mn7+", 0.1915162796], + ["Mn7+", "Tb2+", 0.0471079578], + ["Tb2+", "Mn7+", 0.0471079578], + ["Mn7+", "Tb4+", 0.2559055893], + ["Tb4+", "Mn7+", 0.2559055893], + ["Mn7+", "Dy3+", 0.1621497556], + ["Dy3+", "Mn7+", 0.1621497556], + ["Mn7+", "Dy2+", 0.0989386864], + ["Dy2+", "Mn7+", 0.0989386864], + ["Mn7+", "Ho3+", 0.216114816], + 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"W6+", 0.5007369752], + ["W6+", "Mn7+", 0.5007369752], + ["Mn7+", "W4+", 0.4223694922], + ["W4+", "Mn7+", 0.4223694922], + ["Mn7+", "W2+", 0.0087648769], + ["W2+", "Mn7+", 0.0087648769], + ["Mn7+", "W3+", 0.1720765688], + ["W3+", "Mn7+", 0.1720765688], + ["Mn7+", "W5+", 0.2970317401], + ["W5+", "Mn7+", 0.2970317401], + ["Mn7+", "Re5+", 0.4273243737], + ["Re5+", "Mn7+", 0.4273243737], + ["Mn7+", "Re3+", -0.0927195421], + ["Re3+", "Mn7+", -0.0927195421], + ["Mn7+", "Re6+", 0.2990451695], + ["Re6+", "Mn7+", 0.2990451695], + ["Mn7+", "Re2+", 0.2138108233], + ["Re2+", "Mn7+", 0.2138108233], + ["Mn7+", "Re4+", 0.1492720097], + ["Re4+", "Mn7+", 0.1492720097], + ["Mn7+", "Re7+", 0.3950113597], + ["Re7+", "Mn7+", 0.3950113597], + ["Mn7+", "Os7+", 0.2734083286], + ["Os7+", "Mn7+", 0.2734083286], + ["Mn7+", "Os6+", 0.2971268054], + ["Os6+", "Mn7+", 0.2971268054], + ["Mn7+", "Os5+", 0.2197014075], + ["Os5+", "Mn7+", 0.2197014075], + ["Mn7+", "Os2-", -0.1260259893], + ["Os2-", "Mn7+", 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0.0121565539], + ["Au2+", "Mn7+", 0.0121565539], + ["Mn7+", "Au3+", -0.0510740829], + ["Au3+", "Mn7+", -0.0510740829], + ["Mn7+", "Au5+", 0.1796550807], + ["Au5+", "Mn7+", 0.1796550807], + ["Mn7+", "Au4+", -0.0943149312], + ["Au4+", "Mn7+", -0.0943149312], + ["Mn7+", "Hg2+", 0.0271827473], + ["Hg2+", "Mn7+", 0.0271827473], + ["Mn7+", "Tl3+", 0.1310672168], + ["Tl3+", "Mn7+", 0.1310672168], + ["Mn7+", "Tl2+", 0.1550132249], + ["Tl2+", "Mn7+", 0.1550132249], + ["Mn7+", "Pb2+", 0.2243341631], + ["Pb2+", "Mn7+", 0.2243341631], + ["Mn7+", "Pb3+", 0.3473776071], + ["Pb3+", "Mn7+", 0.3473776071], + ["Mn7+", "Pb4+", 0.3636620906], + ["Pb4+", "Mn7+", 0.3636620906], + ["Mn7+", "Bi3+", 0.3359044261], + ["Bi3+", "Mn7+", 0.3359044261], + ["Mn7+", "Bi5+", 0.421429122], + ["Bi5+", "Mn7+", 0.421429122], + ["Mn7+", "Bi2+", 0.2412824859], + ["Bi2+", "Mn7+", 0.2412824859], + ["Mn7+", "Bi3-", 0.0974338569], + ["Bi3-", "Mn7+", 0.0974338569], + ["Mn7+", "Bi4+", 0.388510035], + ["Bi4+", "Mn7+", 0.388510035], 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0.3353510348], + ["Mn7+", "Np5+", 0.3284818424], + ["Np5+", "Mn7+", 0.3284818424], + ["Mn7+", "Pu7+", 0.6475244139], + ["Pu7+", "Mn7+", 0.6475244139], + ["Mn7+", "Pu6+", 0.1118790045], + ["Pu6+", "Mn7+", 0.1118790045], + ["Mn7+", "Pu3+", 0.0694477638], + ["Pu3+", "Mn7+", 0.0694477638], + ["Mn7+", "Pu4+", 0.2891211901], + ["Pu4+", "Mn7+", 0.2891211901], + ["Mn7+", "Pu5+", 0.2799622765], + ["Pu5+", "Mn7+", 0.2799622765], + ["Mn7+", "H1+", 0.4718542394], + ["H1+", "Mn7+", 0.4718542394], + ["Mn7+", "H1-", 0.2493613865], + ["H1-", "Mn7+", 0.2493613865], + ["Mn7+", "Li1+", 0.4602634377], + ["Li1+", "Mn7+", 0.4602634377], + ["Mn7+", "B1+", 0.0132355873], + ["B1+", "Mn7+", 0.0132355873], + ["Mn7+", "B1-", 0.3249495307], + ["B1-", "Mn7+", 0.3249495307], + ["Mn7+", "C1-", 0.306710053], + ["C1-", "Mn7+", 0.306710053], + ["Mn7+", "C1+", 0.273890018], + ["C1+", "Mn7+", 0.273890018], + ["Mn7+", "N1-", 0.3525612732], + ["N1-", "Mn7+", 0.3525612732], + ["Mn7+", "N1+", 0.2723474381], + ["N1+", "Mn7+", 0.2723474381], + ["Mn7+", "O1-", 0.1703905234], + ["O1-", "Mn7+", 0.1703905234], + ["Mn7+", "F1-", 0.1391625628], + ["F1-", "Mn7+", 0.1391625628], + ["Mn7+", "Na1+", 0.5777318827], + ["Na1+", "Mn7+", 0.5777318827], + ["Mn7+", "Si1-", -0.0119582531], + ["Si1-", "Mn7+", -0.0119582531], + ["Mn7+", "P1+", -0.0378230112], + ["P1+", "Mn7+", -0.0378230112], + ["Mn7+", "P1-", 0.0625216857], + ["P1-", "Mn7+", 0.0625216857], + ["Mn7+", "S1-", 0.0691328387], + ["S1-", "Mn7+", 0.0691328387], + ["Mn7+", "S1+", 0.145355561], + ["S1+", "Mn7+", 0.145355561], + ["Mn7+", "Cl1-", 0.1640694005], + ["Cl1-", "Mn7+", 0.1640694005], + ["Mn7+", "K1+", 0.2107567181], + ["K1+", "Mn7+", 0.2107567181], + ["Mn7+", "Sc1+", -0.0816152132], + ["Sc1+", "Mn7+", -0.0816152132], + ["Mn7+", "Mn1+", 0.2059194058], + ["Mn1+", "Mn7+", 0.2059194058], + ["Mn7+", "Fe1+", 0.1590279734], + ["Fe1+", "Mn7+", 0.1590279734], + ["Mn7+", "Co1+", 0.1872314453], + ["Co1+", "Mn7+", 0.1872314453], + ["Mn7+", "Ni1+", 0.0591485955], + ["Ni1+", "Mn7+", 0.0591485955], + ["Mn7+", "Cu1+", 0.0211742822], + ["Cu1+", "Mn7+", 0.0211742822], + ["Mn7+", "Ga1+", -0.0646069393], + ["Ga1+", "Mn7+", -0.0646069393], + ["Mn7+", "As1-", 0.1496068719], + ["As1-", "Mn7+", 0.1496068719], + ["Mn7+", "As1+", 0.2559796365], + ["As1+", "Mn7+", 0.2559796365], + ["Mn7+", "Se1-", 0.0001888875], + ["Se1-", "Mn7+", 0.0001888875], + ["Mn7+", "Se1+", 0.3344885069], + ["Se1+", "Mn7+", 0.3344885069], + ["Mn7+", "Br1-", 0.1517377544], + ["Br1-", "Mn7+", 0.1517377544], + ["Mn7+", "Br1+", 0.356674038], + ["Br1+", "Mn7+", 0.356674038], + ["Mn7+", "Rb1+", 0.2645669149], + ["Rb1+", "Mn7+", 0.2645669149], + ["Mn7+", "Y1+", 0.1104893681], + ["Y1+", "Mn7+", 0.1104893681], + ["Mn7+", "Zr1+", -0.2103241661], + ["Zr1+", "Mn7+", -0.2103241661], + ["Mn7+", "Nb1+", 0.0820231305], + ["Nb1+", "Mn7+", 0.0820231305], + ["Mn7+", "Tc1-", 0.0322189779], + ["Tc1-", "Mn7+", 0.0322189779], + ["Mn7+", "Tc1+", -0.0563467025], + ["Tc1+", "Mn7+", -0.0563467025], + ["Mn7+", "Rh1+", 0.0018041414], + ["Rh1+", "Mn7+", 0.0018041414], + ["Mn7+", "Ag1+", 0.2199068711], + ["Ag1+", "Mn7+", 0.2199068711], + ["Mn7+", "In1+", -0.0391230671], + ["In1+", "Mn7+", -0.0391230671], + ["Mn7+", "Sb1-", -0.1022938376], + ["Sb1-", "Mn7+", -0.1022938376], + ["Mn7+", "Sb1+", 0.161701813], + ["Sb1+", "Mn7+", 0.161701813], + ["Mn7+", "Te1-", 0.0860825382], + ["Te1-", "Mn7+", 0.0860825382], + ["Mn7+", "Te1+", -0.0723540921], + ["Te1+", "Mn7+", -0.0723540921], + ["Mn7+", "I1-", 0.1430479943], + ["I1-", "Mn7+", 0.1430479943], + ["Mn7+", "I1+", 0.2861484493], + ["I1+", "Mn7+", 0.2861484493], + ["Mn7+", "Cs1+", 0.1769738813], + ["Cs1+", "Mn7+", 0.1769738813], + ["Mn7+", "La1+", -0.1035941321], + ["La1+", "Mn7+", -0.1035941321], + ["Mn7+", "Tb1+", -0.0971303957], + ["Tb1+", "Mn7+", -0.0971303957], + ["Mn7+", "Ta1+", -0.0059367561], + ["Ta1+", "Mn7+", -0.0059367561], + ["Mn7+", "Os1-", -0.1017987903], + ["Os1-", "Mn7+", -0.1017987903], + ["Mn7+", "Os1+", 0.0022077355], + ["Os1+", "Mn7+", 0.0022077355], + ["Mn7+", "Pt1-", -0.2801512514], + ["Pt1-", "Mn7+", -0.2801512514], + ["Mn7+", "Pt1+", 0.1166047833], + ["Pt1+", "Mn7+", 0.1166047833], + ["Mn7+", "Au1-", -0.2639995905], + ["Au1-", "Mn7+", -0.2639995905], + ["Mn7+", "Au1+", -0.072773257], + ["Au1+", "Mn7+", -0.072773257], + ["Mn7+", "Hg1+", 0.2463155127], + ["Hg1+", "Mn7+", 0.2463155127], + ["Mn7+", "Tl1+", 0.1455112376], + ["Tl1+", "Mn7+", 0.1455112376], + ["Mn7+", "Bi1+", 0.0645148425], + ["Bi1+", "Mn7+", 0.0645148425], + ["Mn6+", "Mn6+", 1.0], + ["Mn6+", "Mn5+", 0.530074093], + ["Mn5+", "Mn6+", 0.530074093], + ["Mn6+", "Fe2+", 0.2488888708], + ["Fe2+", "Mn6+", 0.2488888708], + ["Mn6+", "Fe3+", 0.435053856], + ["Fe3+", "Mn6+", 0.435053856], + ["Mn6+", "Fe4+", 0.4821663114], + ["Fe4+", "Mn6+", 0.4821663114], + ["Mn6+", "Fe6+", 0.3958109587], + ["Fe6+", "Mn6+", 0.3958109587], + ["Mn6+", "Fe5+", 0.3135391797], + ["Fe5+", "Mn6+", 0.3135391797], + ["Mn6+", "Co2+", 0.4215679299], + ["Co2+", "Mn6+", 0.4215679299], + ["Mn6+", "Co4+", 0.5625618998], + ["Co4+", "Mn6+", 0.5625618998], + ["Mn6+", "Co3+", 0.4128743382], + ["Co3+", "Mn6+", 0.4128743382], + ["Mn6+", "Ni2+", 0.4493847335], + ["Ni2+", "Mn6+", 0.4493847335], + ["Mn6+", "Ni4+", 0.5177129496], + ["Ni4+", "Mn6+", 0.5177129496], + ["Mn6+", "Ni3+", 0.3539762096], + ["Ni3+", "Mn6+", 0.3539762096], + ["Mn6+", "Cu2+", 0.3662399476], + ["Cu2+", "Mn6+", 0.3662399476], + ["Mn6+", "Cu3+", 0.3290949336], + ["Cu3+", "Mn6+", 0.3290949336], + ["Mn6+", "Zn2+", 0.3251651869], + ["Zn2+", "Mn6+", 0.3251651869], + ["Mn6+", "Ga3+", 0.2216680799], + ["Ga3+", "Mn6+", 0.2216680799], + ["Mn6+", "Ga4+", 0.3197038608], + ["Ga4+", "Mn6+", 0.3197038608], + ["Mn6+", "Ga2+", 0.1719297438], + ["Ga2+", "Mn6+", 0.1719297438], + ["Mn6+", "Ge4-", 0.0482477344], + ["Ge4-", "Mn6+", 0.0482477344], + ["Mn6+", "Ge4+", 0.3657825492], + ["Ge4+", "Mn6+", 0.3657825492], + ["Mn6+", "Ge2-", 0.1096637646], + ["Ge2-", "Mn6+", 0.1096637646], + ["Mn6+", "Ge2+", 0.1016444911], + ["Ge2+", 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0.2828777759], + ["Br5+", "Mn6+", 0.2828777759], + ["Mn6+", "Br3+", 0.2961359018], + ["Br3+", "Mn6+", 0.2961359018], + ["Mn6+", "Sr2+", 0.4647260567], + ["Sr2+", "Mn6+", 0.4647260567], + ["Mn6+", "Y3+", 0.5165161694], + ["Y3+", "Mn6+", 0.5165161694], + ["Mn6+", "Y2+", 0.446643532], + ["Y2+", "Mn6+", 0.446643532], + ["Mn6+", "Zr2+", -0.0151720707], + ["Zr2+", "Mn6+", -0.0151720707], + ["Mn6+", "Zr4+", 0.249606073], + ["Zr4+", "Mn6+", 0.249606073], + ["Mn6+", "Zr3+", 0.0896125818], + ["Zr3+", "Mn6+", 0.0896125818], + ["Mn6+", "Nb5+", 0.522128077], + ["Nb5+", "Mn6+", 0.522128077], + ["Mn6+", "Nb3+", 0.1708799813], + ["Nb3+", "Mn6+", 0.1708799813], + ["Mn6+", "Nb4+", 0.3317143827], + ["Nb4+", "Mn6+", 0.3317143827], + ["Mn6+", "Nb2+", 0.3197490356], + ["Nb2+", "Mn6+", 0.3197490356], + ["Mn6+", "Nb7+", 0.4677771484], + ["Nb7+", "Mn6+", 0.4677771484], + ["Mn6+", "Mo3+", 0.1780703142], + ["Mo3+", "Mn6+", 0.1780703142], + ["Mn6+", "Mo4+", 0.3865964012], + ["Mo4+", "Mn6+", 0.3865964012], + 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0.0793823884], + ["Br1-", "Mn6+", 0.0793823884], + ["Mn6+", "Br1+", 0.0092528435], + ["Br1+", "Mn6+", 0.0092528435], + ["Mn6+", "Rb1+", 0.2114345131], + ["Rb1+", "Mn6+", 0.2114345131], + ["Mn6+", "Y1+", 0.0999385861], + ["Y1+", "Mn6+", 0.0999385861], + ["Mn6+", "Zr1+", -0.1394889618], + ["Zr1+", "Mn6+", -0.1394889618], + ["Mn6+", "Nb1+", 0.1853308857], + ["Nb1+", "Mn6+", 0.1853308857], + ["Mn6+", "Tc1-", -0.0940409665], + ["Tc1-", "Mn6+", -0.0940409665], + ["Mn6+", "Tc1+", 0.0636112178], + ["Tc1+", "Mn6+", 0.0636112178], + ["Mn6+", "Rh1+", 0.2589460221], + ["Rh1+", "Mn6+", 0.2589460221], + ["Mn6+", "Ag1+", 0.2839764491], + ["Ag1+", "Mn6+", 0.2839764491], + ["Mn6+", "In1+", 0.0315178944], + ["In1+", "Mn6+", 0.0315178944], + ["Mn6+", "Sb1-", -0.0374361081], + ["Sb1-", "Mn6+", -0.0374361081], + ["Mn6+", "Sb1+", 0.0979850767], + ["Sb1+", "Mn6+", 0.0979850767], + ["Mn6+", "Te1-", 0.034978083], + ["Te1-", "Mn6+", 0.034978083], + ["Mn6+", "Te1+", 0.0439979947], + ["Te1+", "Mn6+", 0.0439979947], + ["Mn6+", "I1-", 0.1274992395], + ["I1-", "Mn6+", 0.1274992395], + ["Mn6+", "I1+", 0.0372823465], + ["I1+", "Mn6+", 0.0372823465], + ["Mn6+", "Cs1+", 0.1015548421], + ["Cs1+", "Mn6+", 0.1015548421], + ["Mn6+", "La1+", 0.0845121252], + ["La1+", "Mn6+", 0.0845121252], + ["Mn6+", "Tb1+", 0.1043954451], + ["Tb1+", "Mn6+", 0.1043954451], + ["Mn6+", "Ta1+", 0.0519803507], + ["Ta1+", "Mn6+", 0.0519803507], + ["Mn6+", "Os1-", -0.1350915661], + ["Os1-", "Mn6+", -0.1350915661], + ["Mn6+", "Os1+", 0.032390159], + ["Os1+", "Mn6+", 0.032390159], + ["Mn6+", "Pt1-", -0.0992734705], + ["Pt1-", "Mn6+", -0.0992734705], + ["Mn6+", "Pt1+", 0.3022406186], + ["Pt1+", "Mn6+", 0.3022406186], + ["Mn6+", "Au1-", -0.2473871978], + ["Au1-", "Mn6+", -0.2473871978], + ["Mn6+", "Au1+", -0.065445296], + ["Au1+", "Mn6+", -0.065445296], + ["Mn6+", "Hg1+", 0.3317867635], + ["Hg1+", "Mn6+", 0.3317867635], + ["Mn6+", "Tl1+", 0.1246594879], + ["Tl1+", "Mn6+", 0.1246594879], + ["Mn6+", "Bi1+", 0.1128367943], + ["Bi1+", "Mn6+", 0.1128367943], + ["Mn5+", "Mn5+", 1.0], + ["Mn5+", "Fe2+", 0.3309182322], + ["Fe2+", "Mn5+", 0.3309182322], + ["Mn5+", "Fe3+", 0.3171431908], + ["Fe3+", "Mn5+", 0.3171431908], + ["Mn5+", "Fe4+", 0.3448316182], + ["Fe4+", "Mn5+", 0.3448316182], + ["Mn5+", "Fe6+", 0.3360761614], + ["Fe6+", "Mn5+", 0.3360761614], + ["Mn5+", "Fe5+", 0.1720295332], + ["Fe5+", "Mn5+", 0.1720295332], + ["Mn5+", "Co2+", 0.2889022916], + ["Co2+", "Mn5+", 0.2889022916], + ["Mn5+", "Co4+", 0.4706801378], + ["Co4+", "Mn5+", 0.4706801378], + ["Mn5+", "Co3+", 0.5078008339], + ["Co3+", "Mn5+", 0.5078008339], + ["Mn5+", "Ni2+", 0.3339071781], + ["Ni2+", "Mn5+", 0.3339071781], + ["Mn5+", "Ni4+", 0.4757470884], + ["Ni4+", "Mn5+", 0.4757470884], + ["Mn5+", "Ni3+", 0.436057359], + ["Ni3+", "Mn5+", 0.436057359], + ["Mn5+", "Cu2+", 0.3371659109], + ["Cu2+", "Mn5+", 0.3371659109], + ["Mn5+", "Cu3+", 0.2854378918], + ["Cu3+", "Mn5+", 0.2854378918], + ["Mn5+", "Zn2+", 0.3990427213], + ["Zn2+", "Mn5+", 0.3990427213], + ["Mn5+", "Ga3+", 0.3566268707], + ["Ga3+", "Mn5+", 0.3566268707], + ["Mn5+", "Ga4+", 0.1943452161], + ["Ga4+", "Mn5+", 0.1943452161], + ["Mn5+", "Ga2+", 0.1412477369], + ["Ga2+", "Mn5+", 0.1412477369], + ["Mn5+", "Ge4-", -0.0465310454], + ["Ge4-", "Mn5+", -0.0465310454], + ["Mn5+", "Ge4+", 0.4740188363], + ["Ge4+", "Mn5+", 0.4740188363], + ["Mn5+", "Ge2-", -0.0224177814], + ["Ge2-", "Mn5+", -0.0224177814], + ["Mn5+", "Ge2+", 0.1430440928], + ["Ge2+", "Mn5+", 0.1430440928], + ["Mn5+", "Ge3+", 0.2285966118], + ["Ge3+", "Mn5+", 0.2285966118], + ["Mn5+", "As2-", 0.0419813966], + ["As2-", "Mn5+", 0.0419813966], + ["Mn5+", "As3+", -0.0604610308], + ["As3+", "Mn5+", -0.0604610308], + ["Mn5+", "As5+", 0.0675537344], + ["As5+", "Mn5+", 0.0675537344], + ["Mn5+", "As3-", -0.0724714223], + ["As3-", "Mn5+", -0.0724714223], + ["Mn5+", "As2+", -0.0643811267], + ["As2+", "Mn5+", -0.0643811267], + ["Mn5+", "As4+", 0.1494375461], + ["As4+", "Mn5+", 0.1494375461], + ["Mn5+", "Se2-", -0.1131019372], + ["Se2-", "Mn5+", -0.1131019372], + ["Mn5+", "Se4+", 0.4035223211], + ["Se4+", "Mn5+", 0.4035223211], + ["Mn5+", "Se6+", 0.3690373265], + ["Se6+", "Mn5+", 0.3690373265], + ["Mn5+", "Se5+", 0.3955083204], + ["Se5+", "Mn5+", 0.3955083204], + ["Mn5+", "Se2+", 0.0926348954], + ["Se2+", "Mn5+", 0.0926348954], + ["Mn5+", "Se3+", 0.2837415611], + ["Se3+", "Mn5+", 0.2837415611], + ["Mn5+", "Br2+", 0.1419836652], + ["Br2+", "Mn5+", 0.1419836652], + ["Mn5+", "Br5+", 0.2351786992], + ["Br5+", "Mn5+", 0.2351786992], + ["Mn5+", "Br3+", 0.2273211678], + ["Br3+", "Mn5+", 0.2273211678], + ["Mn5+", "Sr2+", 0.5052037409], + ["Sr2+", "Mn5+", 0.5052037409], + ["Mn5+", "Y3+", 0.3398313601], + ["Y3+", "Mn5+", 0.3398313601], + ["Mn5+", "Y2+", 0.3380446855], + ["Y2+", "Mn5+", 0.3380446855], + ["Mn5+", "Zr2+", -0.0900548292], + ["Zr2+", "Mn5+", -0.0900548292], + ["Mn5+", "Zr4+", 0.1669688194], + ["Zr4+", "Mn5+", 0.1669688194], + ["Mn5+", "Zr3+", 0.0357793188], + ["Zr3+", "Mn5+", 0.0357793188], + ["Mn5+", "Nb5+", 0.4464923882], + ["Nb5+", "Mn5+", 0.4464923882], + ["Mn5+", "Nb3+", 0.115311076], + ["Nb3+", "Mn5+", 0.115311076], + ["Mn5+", "Nb4+", 0.373639847], + ["Nb4+", "Mn5+", 0.373639847], + ["Mn5+", "Nb2+", 0.1628934299], + ["Nb2+", "Mn5+", 0.1628934299], + ["Mn5+", "Nb7+", 0.3496979085], + ["Nb7+", "Mn5+", 0.3496979085], + ["Mn5+", "Mo3+", 0.1598981091], + ["Mo3+", "Mn5+", 0.1598981091], + ["Mn5+", "Mo4+", 0.2828630179], + ["Mo4+", "Mn5+", 0.2828630179], + ["Mn5+", "Mo6+", 0.3847551488], + ["Mo6+", "Mn5+", 0.3847551488], + ["Mn5+", "Mo5+", 0.2524497761], + ["Mo5+", "Mn5+", 0.2524497761], + ["Mn5+", "Mo2+", 0.025854513], + ["Mo2+", "Mn5+", 0.025854513], + ["Mn5+", "Tc4+", 0.2545931534], + ["Tc4+", "Mn5+", 0.2545931534], + ["Mn5+", "Tc3-", 0.0158096254], + ["Tc3-", "Mn5+", 0.0158096254], + ["Mn5+", "Tc3+", 0.0394789962], + ["Tc3+", "Mn5+", 0.0394789962], + ["Mn5+", "Tc7+", 0.2129802302], + ["Tc7+", "Mn5+", 0.2129802302], + ["Mn5+", "Tc5+", 0.215058142], + ["Tc5+", "Mn5+", 0.215058142], + ["Mn5+", "Tc6+", -0.1062172056], + ["Tc6+", "Mn5+", -0.1062172056], + ["Mn5+", "Tc2-", -0.2165111584], + ["Tc2-", "Mn5+", -0.2165111584], + ["Mn5+", "Tc2+", -0.0284202443], + ["Tc2+", "Mn5+", -0.0284202443], + ["Mn5+", "Ru2+", 0.202074611], + ["Ru2+", "Mn5+", 0.202074611], + ["Mn5+", "Ru6+", 0.1098637917], + ["Ru6+", "Mn5+", 0.1098637917], + ["Mn5+", "Ru4+", 0.4588221186], + ["Ru4+", "Mn5+", 0.4588221186], + ["Mn5+", "Ru5+", 0.4128517378], + ["Ru5+", "Mn5+", 0.4128517378], + ["Mn5+", "Ru3+", 0.1500386147], + ["Ru3+", "Mn5+", 0.1500386147], + ["Mn5+", "Rh4+", 0.3532359822], + ["Rh4+", "Mn5+", 0.3532359822], + ["Mn5+", "Rh3+", 0.1242497836], + ["Rh3+", "Mn5+", 0.1242497836], + ["Mn5+", "Pd2+", 0.1279395826], + ["Pd2+", "Mn5+", 0.1279395826], + ["Mn5+", "Pd4+", 0.2389949563], + ["Pd4+", "Mn5+", 0.2389949563], + ["Mn5+", "Pd3+", 0.1184578468], + ["Pd3+", "Mn5+", 0.1184578468], + ["Mn5+", "Ag3+", 0.3051041456], + ["Ag3+", "Mn5+", 0.3051041456], + ["Mn5+", "Ag2+", 0.1926966936], + ["Ag2+", "Mn5+", 0.1926966936], + ["Mn5+", "Cd2+", 0.3791827484], + ["Cd2+", "Mn5+", 0.3791827484], + ["Mn5+", "In3+", 0.2257751884], + ["In3+", "Mn5+", 0.2257751884], + ["Mn5+", "In2+", 0.07730363], + ["In2+", "Mn5+", 0.07730363], + ["Mn5+", "Sn4+", 0.2374802244], + ["Sn4+", "Mn5+", 0.2374802244], + ["Mn5+", "Sn3+", 0.2474028417], + ["Sn3+", "Mn5+", 0.2474028417], + ["Mn5+", "Sn2+", 0.1274153268], + ["Sn2+", "Mn5+", 0.1274153268], + ["Mn5+", "Sb5+", 0.1808298019], + ["Sb5+", "Mn5+", 0.1808298019], + ["Mn5+", "Sb2-", -0.1397523129], + ["Sb2-", "Mn5+", -0.1397523129], + ["Mn5+", "Sb3-", -0.142427496], + ["Sb3-", "Mn5+", -0.142427496], + ["Mn5+", "Sb3+", 0.0275775375], + ["Sb3+", "Mn5+", 0.0275775375], + ["Mn5+", "Sb4+", 0.0839705963], + ["Sb4+", "Mn5+", 0.0839705963], + ["Mn5+", "Te2-", -0.0345149721], + ["Te2-", "Mn5+", -0.0345149721], + ["Mn5+", "Te4+", 0.2454116531], + ["Te4+", "Mn5+", 0.2454116531], + ["Mn5+", "Te6+", 0.2475797288], + ["Te6+", "Mn5+", 0.2475797288], + ["Mn5+", "Te2+", -0.1613184206], + ["Te2+", "Mn5+", -0.1613184206], + ["Mn5+", "Te5+", 0.3675078374], + ["Te5+", "Mn5+", 0.3675078374], + ["Mn5+", "I3+", 0.0792546635], + ["I3+", "Mn5+", 0.0792546635], + ["Mn5+", "I7+", 0.267549601], + ["I7+", "Mn5+", 0.267549601], + ["Mn5+", "I5+", 0.2673224039], + ["I5+", "Mn5+", 0.2673224039], + ["Mn5+", "I2+", 0.1391401443], + ["I2+", "Mn5+", 0.1391401443], + ["Mn5+", "Ba2+", 0.4041898489], + ["Ba2+", "Mn5+", 0.4041898489], + ["Mn5+", "La3+", 0.4116933507], + ["La3+", "Mn5+", 0.4116933507], + ["Mn5+", "La2+", 0.3092243886], + ["La2+", "Mn5+", 0.3092243886], + ["Mn5+", "Ce3+", 0.1721811447], + ["Ce3+", "Mn5+", 0.1721811447], + ["Mn5+", "Ce2+", 0.15096593], + ["Ce2+", "Mn5+", 0.15096593], + ["Mn5+", "Ce4+", 0.3313752205], + ["Ce4+", "Mn5+", 0.3313752205], + ["Mn5+", "Pr3+", 0.1569338872], + ["Pr3+", "Mn5+", 0.1569338872], + ["Mn5+", "Pr4+", 0.4975572429], + ["Pr4+", "Mn5+", 0.4975572429], + ["Mn5+", "Pr2+", 0.2006959065], + ["Pr2+", "Mn5+", 0.2006959065], + ["Mn5+", "Nd3+", 0.2525033251], + ["Nd3+", "Mn5+", 0.2525033251], + ["Mn5+", "Nd2+", 0.1204805657], + ["Nd2+", "Mn5+", 0.1204805657], + ["Mn5+", "Pm3+", 0.2224954153], + ["Pm3+", "Mn5+", 0.2224954153], + ["Mn5+", "Sm3+", 0.3017045429], + ["Sm3+", "Mn5+", 0.3017045429], + ["Mn5+", "Sm2+", -0.1457982737], + ["Sm2+", "Mn5+", -0.1457982737], + ["Mn5+", "Eu2+", 0.2737020941], + ["Eu2+", "Mn5+", 0.2737020941], + ["Mn5+", "Eu3+", 0.2443381792], + ["Eu3+", "Mn5+", 0.2443381792], + ["Mn5+", "Gd2+", -0.0211350493], + ["Gd2+", "Mn5+", -0.0211350493], + ["Mn5+", "Gd3+", 0.228341073], + ["Gd3+", "Mn5+", 0.228341073], + ["Mn5+", "Tb3+", 0.1293351886], + ["Tb3+", "Mn5+", 0.1293351886], + ["Mn5+", "Tb2+", -0.0412855531], + ["Tb2+", "Mn5+", -0.0412855531], + ["Mn5+", "Tb4+", 0.3018520453], + ["Tb4+", "Mn5+", 0.3018520453], + ["Mn5+", "Dy3+", 0.1260815269], + ["Dy3+", "Mn5+", 0.1260815269], + ["Mn5+", "Dy2+", 0.0104784298], + ["Dy2+", "Mn5+", 0.0104784298], + ["Mn5+", "Ho3+", 0.1905452072], + ["Ho3+", "Mn5+", 0.1905452072], + ["Mn5+", "Ho2+", 0.0250470139], + ["Ho2+", "Mn5+", 0.0250470139], + ["Mn5+", "Er3+", 0.135160232], + ["Er3+", "Mn5+", 0.135160232], + ["Mn5+", "Tm3+", 0.1978646272], + ["Tm3+", "Mn5+", 0.1978646272], + ["Mn5+", "Tm2+", -0.007171654], + ["Tm2+", "Mn5+", -0.007171654], + ["Mn5+", "Yb3+", 0.1584275609], + ["Yb3+", "Mn5+", 0.1584275609], + ["Mn5+", "Yb2+", -0.1276564684], + ["Yb2+", "Mn5+", -0.1276564684], + ["Mn5+", "Lu3+", 0.0636269996], + ["Lu3+", "Mn5+", 0.0636269996], + ["Mn5+", "Hf3+", 0.3710408926], + ["Hf3+", "Mn5+", 0.3710408926], + ["Mn5+", "Hf2+", 0.3324505817], + ["Hf2+", "Mn5+", 0.3324505817], + ["Mn5+", "Hf4+", 0.305889394], + ["Hf4+", "Mn5+", 0.305889394], + ["Mn5+", "Ta5+", 0.4268065067], + ["Ta5+", "Mn5+", 0.4268065067], + ["Mn5+", "Ta3+", -0.1628544007], + ["Ta3+", "Mn5+", -0.1628544007], + ["Mn5+", "Ta4+", 0.2143219541], + ["Ta4+", "Mn5+", 0.2143219541], + ["Mn5+", "Ta2+", -0.023599505], + ["Ta2+", "Mn5+", -0.023599505], + ["Mn5+", "W6+", 0.4767287705], + ["W6+", "Mn5+", 0.4767287705], + ["Mn5+", "W4+", 0.2726802654], + ["W4+", "Mn5+", 0.2726802654], + ["Mn5+", "W2+", 0.0643981174], + ["W2+", "Mn5+", 0.0643981174], + ["Mn5+", "W3+", 0.3410113794], + ["W3+", "Mn5+", 0.3410113794], + ["Mn5+", "W5+", 0.224348235], + ["W5+", "Mn5+", 0.224348235], + ["Mn5+", "Re5+", 0.3145218051], + ["Re5+", "Mn5+", 0.3145218051], + ["Mn5+", "Re3+", -0.0586032234], + ["Re3+", "Mn5+", -0.0586032234], + ["Mn5+", "Re6+", 0.0539785893], + ["Re6+", "Mn5+", 0.0539785893], + ["Mn5+", "Re2+", -0.0077936108], + ["Re2+", "Mn5+", -0.0077936108], + ["Mn5+", "Re4+", 0.18558547], + ["Re4+", "Mn5+", 0.18558547], + ["Mn5+", "Re7+", 0.1227210602], + ["Re7+", "Mn5+", 0.1227210602], + ["Mn5+", "Os7+", 0.1582749016], + ["Os7+", "Mn5+", 0.1582749016], + ["Mn5+", "Os6+", 0.0739710943], + ["Os6+", "Mn5+", 0.0739710943], + ["Mn5+", "Os5+", 0.3903810217], + ["Os5+", "Mn5+", 0.3903810217], + ["Mn5+", "Os2-", -0.0379098196], + ["Os2-", "Mn5+", -0.0379098196], + ["Mn5+", "Os3+", 0.0103355233], + ["Os3+", "Mn5+", 0.0103355233], + ["Mn5+", "Os4+", 0.213309815], + ["Os4+", "Mn5+", 0.213309815], + ["Mn5+", "Os8+", 0.1039559936], + ["Os8+", "Mn5+", 0.1039559936], + ["Mn5+", "Os2+", 0.2029407493], + ["Os2+", "Mn5+", 0.2029407493], + ["Mn5+", "Ir3+", 0.0454952345], + ["Ir3+", "Mn5+", 0.0454952345], + ["Mn5+", "Ir4+", 0.4718633403], + ["Ir4+", "Mn5+", 0.4718633403], + ["Mn5+", "Ir5+", 0.277625866], + ["Ir5+", "Mn5+", 0.277625866], + ["Mn5+", "Ir6+", 0.1261218661], + ["Ir6+", "Mn5+", 0.1261218661], + ["Mn5+", "Pt2+", 0.2059963371], + ["Pt2+", "Mn5+", 0.2059963371], + ["Mn5+", "Pt2-", -0.1017277133], + ["Pt2-", "Mn5+", -0.1017277133], + ["Mn5+", "Pt4+", 0.2358499993], + ["Pt4+", "Mn5+", 0.2358499993], + ["Mn5+", "Pt3+", 0.3748645127], + ["Pt3+", "Mn5+", 0.3748645127], + ["Mn5+", "Pt5+", 0.0903719695], + ["Pt5+", "Mn5+", 0.0903719695], + ["Mn5+", "Pt6+", 0.1792811616], + ["Pt6+", "Mn5+", 0.1792811616], + ["Mn5+", "Au2+", -0.1130266583], + ["Au2+", "Mn5+", -0.1130266583], + ["Mn5+", "Au3+", 0.0039449201], + ["Au3+", "Mn5+", 0.0039449201], + ["Mn5+", "Au5+", -0.0382494839], + ["Au5+", "Mn5+", -0.0382494839], + ["Mn5+", "Au4+", -0.2460872815], + ["Au4+", "Mn5+", -0.2460872815], + ["Mn5+", "Hg2+", 0.1052539448], + ["Hg2+", "Mn5+", 0.1052539448], + ["Mn5+", "Tl3+", 0.0804721733], + ["Tl3+", "Mn5+", 0.0804721733], + ["Mn5+", "Tl2+", 0.1423946801], + ["Tl2+", "Mn5+", 0.1423946801], + ["Mn5+", "Pb2+", 0.2148231174], + ["Pb2+", "Mn5+", 0.2148231174], + ["Mn5+", "Pb3+", 0.1971558908], + ["Pb3+", "Mn5+", 0.1971558908], + ["Mn5+", "Pb4+", 0.1686952617], + ["Pb4+", "Mn5+", 0.1686952617], + ["Mn5+", "Bi3+", 0.3357423365], + ["Bi3+", "Mn5+", 0.3357423365], + ["Mn5+", "Bi5+", 0.3664985748], + ["Bi5+", "Mn5+", 0.3664985748], + ["Mn5+", "Bi2+", 0.0553892323], + ["Bi2+", "Mn5+", 0.0553892323], + ["Mn5+", "Bi3-", -0.0617158289], + ["Bi3-", "Mn5+", -0.0617158289], + ["Mn5+", "Bi4+", 0.2252166186], + ["Bi4+", "Mn5+", 0.2252166186], + 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"Mn5+", 0.3971759548], + ["Mn5+", "Np5+", 0.2635646727], + ["Np5+", "Mn5+", 0.2635646727], + ["Mn5+", "Pu7+", 0.5195920961], + ["Pu7+", "Mn5+", 0.5195920961], + ["Mn5+", "Pu6+", 0.1296726396], + ["Pu6+", "Mn5+", 0.1296726396], + ["Mn5+", "Pu3+", 0.0053504977], + ["Pu3+", "Mn5+", 0.0053504977], + ["Mn5+", "Pu4+", 0.0130566833], + ["Pu4+", "Mn5+", 0.0130566833], + ["Mn5+", "Pu5+", 0.1316168928], + ["Pu5+", "Mn5+", 0.1316168928], + ["Mn5+", "H1+", 0.3425224291], + ["H1+", "Mn5+", 0.3425224291], + ["Mn5+", "H1-", 0.1825683581], + ["H1-", "Mn5+", 0.1825683581], + ["Mn5+", "Li1+", 0.3667306575], + ["Li1+", "Mn5+", 0.3667306575], + ["Mn5+", "B1+", -0.1054835557], + ["B1+", "Mn5+", -0.1054835557], + ["Mn5+", "B1-", -0.0694917408], + ["B1-", "Mn5+", -0.0694917408], + ["Mn5+", "C1-", 0.1729069213], + ["C1-", "Mn5+", 0.1729069213], + ["Mn5+", "C1+", 0.2070505345], + ["C1+", "Mn5+", 0.2070505345], + ["Mn5+", "N1-", 0.1014041174], + ["N1-", "Mn5+", 0.1014041174], + ["Mn5+", "N1+", 0.0519206423], + 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0.1446945778], + ["Ni1+", "Mn5+", 0.1446945778], + ["Mn5+", "Cu1+", 0.1329331792], + ["Cu1+", "Mn5+", 0.1329331792], + ["Mn5+", "Ga1+", -0.0101505799], + ["Ga1+", "Mn5+", -0.0101505799], + ["Mn5+", "As1-", -0.0765328622], + ["As1-", "Mn5+", -0.0765328622], + ["Mn5+", "As1+", 0.2070154972], + ["As1+", "Mn5+", 0.2070154972], + ["Mn5+", "Se1-", -0.2362615462], + ["Se1-", "Mn5+", -0.2362615462], + ["Mn5+", "Se1+", 0.2880049683], + ["Se1+", "Mn5+", 0.2880049683], + ["Mn5+", "Br1-", -0.0216946283], + ["Br1-", "Mn5+", -0.0216946283], + ["Mn5+", "Br1+", 0.1511944372], + ["Br1+", "Mn5+", 0.1511944372], + ["Mn5+", "Rb1+", 0.1465958216], + ["Rb1+", "Mn5+", 0.1465958216], + ["Mn5+", "Y1+", -0.0253134592], + ["Y1+", "Mn5+", -0.0253134592], + ["Mn5+", "Zr1+", -0.1228803778], + ["Zr1+", "Mn5+", -0.1228803778], + ["Mn5+", "Nb1+", 0.1207427371], + ["Nb1+", "Mn5+", 0.1207427371], + ["Mn5+", "Tc1-", -0.0762543905], + ["Tc1-", "Mn5+", -0.0762543905], + ["Mn5+", "Tc1+", 0.214574441], + ["Tc1+", "Mn5+", 0.214574441], + ["Mn5+", "Rh1+", 0.0650945785], + ["Rh1+", "Mn5+", 0.0650945785], + ["Mn5+", "Ag1+", 0.282852695], + ["Ag1+", "Mn5+", 0.282852695], + ["Mn5+", "In1+", -0.0328885766], + ["In1+", "Mn5+", -0.0328885766], + ["Mn5+", "Sb1-", -0.1335047644], + ["Sb1-", "Mn5+", -0.1335047644], + ["Mn5+", "Sb1+", -0.0685280357], + ["Sb1+", "Mn5+", -0.0685280357], + ["Mn5+", "Te1-", -0.1373415197], + ["Te1-", "Mn5+", -0.1373415197], + ["Mn5+", "Te1+", 0.1278087905], + ["Te1+", "Mn5+", 0.1278087905], + ["Mn5+", "I1-", 0.1142558095], + ["I1-", "Mn5+", 0.1142558095], + ["Mn5+", "I1+", 0.1254108984], + ["I1+", "Mn5+", 0.1254108984], + ["Mn5+", "Cs1+", 0.0825509329], + ["Cs1+", "Mn5+", 0.0825509329], + ["Mn5+", "La1+", -0.1157373877], + ["La1+", "Mn5+", -0.1157373877], + ["Mn5+", "Tb1+", -0.1126966206], + ["Tb1+", "Mn5+", -0.1126966206], + ["Mn5+", "Ta1+", 0.0309617418], + ["Ta1+", "Mn5+", 0.0309617418], + ["Mn5+", "Os1-", -0.1310922058], + ["Os1-", "Mn5+", -0.1310922058], + ["Mn5+", "Os1+", 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0.3584416258], + ["Cu2+", "As2-", 0.1248625883], + ["As2-", "Cu2+", 0.1248625883], + ["Cu2+", "As3+", 0.3734688155], + ["As3+", "Cu2+", 0.3734688155], + ["Cu2+", "As5+", 0.5045129472], + ["As5+", "Cu2+", 0.5045129472], + ["Cu2+", "As3-", 0.0319652814], + ["As3-", "Cu2+", 0.0319652814], + ["Cu2+", "As2+", 0.5431215442], + ["As2+", "Cu2+", 0.5431215442], + ["Cu2+", "As4+", 0.2814715045], + ["As4+", "Cu2+", 0.2814715045], + ["Cu2+", "Se2-", 0.1235338288], + ["Se2-", "Cu2+", 0.1235338288], + ["Cu2+", "Se4+", 0.4592446674], + ["Se4+", "Cu2+", 0.4592446674], + ["Cu2+", "Se6+", 0.2470576194], + ["Se6+", "Cu2+", 0.2470576194], + ["Cu2+", "Se5+", 0.300891311], + ["Se5+", "Cu2+", 0.300891311], + ["Cu2+", "Se2+", 0.1977116575], + ["Se2+", "Cu2+", 0.1977116575], + ["Cu2+", "Se3+", 0.1985270217], + ["Se3+", "Cu2+", 0.1985270217], + ["Cu2+", "Br2+", 0.2901868344], + ["Br2+", "Cu2+", 0.2901868344], + ["Cu2+", "Br5+", 0.4790903793], + ["Br5+", "Cu2+", 0.4790903793], + ["Cu2+", "Br3+", 0.31872857], + 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0.3865243506], + ["Mo5+", "Cu2+", 0.3865243506], + ["Cu2+", "Mo2+", 0.3029332438], + ["Mo2+", "Cu2+", 0.3029332438], + ["Cu2+", "Tc4+", 0.2620978317], + ["Tc4+", "Cu2+", 0.2620978317], + ["Cu2+", "Tc3-", -0.2039989497], + ["Tc3-", "Cu2+", -0.2039989497], + ["Cu2+", "Tc3+", 0.2152787433], + ["Tc3+", "Cu2+", 0.2152787433], + ["Cu2+", "Tc7+", 0.1440227188], + ["Tc7+", "Cu2+", 0.1440227188], + ["Cu2+", "Tc5+", 0.3637769866], + ["Tc5+", "Cu2+", 0.3637769866], + ["Cu2+", "Tc6+", 0.0393885319], + ["Tc6+", "Cu2+", 0.0393885319], + ["Cu2+", "Tc2-", -0.011497567], + ["Tc2-", "Cu2+", -0.011497567], + ["Cu2+", "Tc2+", 0.1301119885], + ["Tc2+", "Cu2+", 0.1301119885], + ["Cu2+", "Ru2+", 0.068314516], + ["Ru2+", "Cu2+", 0.068314516], + ["Cu2+", "Ru6+", 0.32340284], + ["Ru6+", "Cu2+", 0.32340284], + ["Cu2+", "Ru4+", 0.3971516297], + ["Ru4+", "Cu2+", 0.3971516297], + ["Cu2+", "Ru5+", 0.3801580618], + ["Ru5+", "Cu2+", 0.3801580618], + ["Cu2+", "Ru3+", 0.2210375959], + ["Ru3+", "Cu2+", 0.2210375959], + 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0.1901985958], + ["Cu2+", "Hf2+", 0.2115737198], + ["Hf2+", "Cu2+", 0.2115737198], + ["Cu2+", "Hf4+", 0.3537041929], + ["Hf4+", "Cu2+", 0.3537041929], + ["Cu2+", "Ta5+", 0.5475784816], + ["Ta5+", "Cu2+", 0.5475784816], + ["Cu2+", "Ta3+", 0.0840376765], + ["Ta3+", "Cu2+", 0.0840376765], + ["Cu2+", "Ta4+", 0.3211400057], + ["Ta4+", "Cu2+", 0.3211400057], + ["Cu2+", "Ta2+", 0.1002469812], + ["Ta2+", "Cu2+", 0.1002469812], + ["Cu2+", "W6+", 0.498257825], + ["W6+", "Cu2+", 0.498257825], + ["Cu2+", "W4+", 0.4148145943], + ["W4+", "Cu2+", 0.4148145943], + ["Cu2+", "W2+", 0.2894709227], + ["W2+", "Cu2+", 0.2894709227], + ["Cu2+", "W3+", 0.2759107285], + ["W3+", "Cu2+", 0.2759107285], + ["Cu2+", "W5+", 0.3301673866], + ["W5+", "Cu2+", 0.3301673866], + ["Cu2+", "Re5+", 0.3465183052], + ["Re5+", "Cu2+", 0.3465183052], + ["Cu2+", "Re3+", 0.0625320258], + ["Re3+", "Cu2+", 0.0625320258], + ["Cu2+", "Re6+", 0.1740112101], + ["Re6+", "Cu2+", 0.1740112101], + ["Cu2+", "Re2+", 0.1182909951], + ["Re2+", "Cu2+", 0.1182909951], + ["Cu2+", "Re4+", 0.2982497168], + ["Re4+", "Cu2+", 0.2982497168], + ["Cu2+", "Re7+", 0.3888621082], + ["Re7+", "Cu2+", 0.3888621082], + ["Cu2+", "Os7+", 0.187790272], + ["Os7+", "Cu2+", 0.187790272], + ["Cu2+", "Os6+", 0.1866616143], + ["Os6+", "Cu2+", 0.1866616143], + ["Cu2+", "Os5+", 0.363350607], + ["Os5+", "Cu2+", 0.363350607], + ["Cu2+", "Os2-", -0.0877430965], + ["Os2-", "Cu2+", -0.0877430965], + ["Cu2+", "Os3+", 0.114569519], + ["Os3+", "Cu2+", 0.114569519], + ["Cu2+", "Os4+", 0.2301942758], + ["Os4+", "Cu2+", 0.2301942758], + ["Cu2+", "Os8+", 0.1669543949], + ["Os8+", "Cu2+", 0.1669543949], + ["Cu2+", "Os2+", 0.2821123916], + ["Os2+", "Cu2+", 0.2821123916], + ["Cu2+", "Ir3+", 0.051571709], + ["Ir3+", "Cu2+", 0.051571709], + ["Cu2+", "Ir4+", 0.3565803733], + ["Ir4+", "Cu2+", 0.3565803733], + ["Cu2+", "Ir5+", 0.3245970957], + ["Ir5+", "Cu2+", 0.3245970957], + ["Cu2+", "Ir6+", 0.3552036368], + ["Ir6+", "Cu2+", 0.3552036368], + ["Cu2+", "Pt2+", 0.3148878363], + ["Pt2+", "Cu2+", 0.3148878363], + ["Cu2+", "Pt2-", -0.0975190424], + ["Pt2-", "Cu2+", -0.0975190424], + ["Cu2+", "Pt4+", 0.3421397755], + ["Pt4+", "Cu2+", 0.3421397755], + ["Cu2+", "Pt3+", 0.2811372307], + ["Pt3+", "Cu2+", 0.2811372307], + ["Cu2+", "Pt5+", 0.3707521082], + ["Pt5+", "Cu2+", 0.3707521082], + ["Cu2+", "Pt6+", 0.2523246872], + ["Pt6+", "Cu2+", 0.2523246872], + ["Cu2+", "Au2+", 0.0955326847], + ["Au2+", "Cu2+", 0.0955326847], + ["Cu2+", "Au3+", 0.3566336708], + ["Au3+", "Cu2+", 0.3566336708], + ["Cu2+", "Au5+", 0.3153381008], + ["Au5+", "Cu2+", 0.3153381008], + ["Cu2+", "Au4+", 0.2041335302], + ["Au4+", "Cu2+", 0.2041335302], + ["Cu2+", "Hg2+", 0.4985414814], + ["Hg2+", "Cu2+", 0.4985414814], + ["Cu2+", "Tl3+", 0.4021415101], + ["Tl3+", "Cu2+", 0.4021415101], + ["Cu2+", "Tl2+", 0.4113717536], + ["Tl2+", "Cu2+", 0.4113717536], + ["Cu2+", "Pb2+", 0.4497048559], + ["Pb2+", "Cu2+", 0.4497048559], + ["Cu2+", "Pb3+", 0.3465072983], + ["Pb3+", "Cu2+", 0.3465072983], + ["Cu2+", "Pb4+", 0.1886388114], + ["Pb4+", "Cu2+", 0.1886388114], + ["Cu2+", "Bi3+", 0.6027471466], + ["Bi3+", "Cu2+", 0.6027471466], + ["Cu2+", "Bi5+", 0.2982737787], + ["Bi5+", "Cu2+", 0.2982737787], + ["Cu2+", "Bi2+", 0.3236844144], + ["Bi2+", "Cu2+", 0.3236844144], + ["Cu2+", "Bi3-", 0.0733111487], + ["Bi3-", "Cu2+", 0.0733111487], + ["Cu2+", "Bi4+", 0.2903671003], + ["Bi4+", "Cu2+", 0.2903671003], + ["Cu2+", "Ac3+", 0.2724987369], + ["Ac3+", "Cu2+", 0.2724987369], + ["Cu2+", "Th4+", 0.3157810719], + ["Th4+", "Cu2+", 0.3157810719], + ["Cu2+", "Th3+", 0.0890473028], + ["Th3+", "Cu2+", 0.0890473028], + ["Cu2+", "Pa4+", 0.1190964424], + ["Pa4+", "Cu2+", 0.1190964424], + ["Cu2+", "Pa5+", 0.3192423581], + ["Pa5+", "Cu2+", 0.3192423581], + ["Cu2+", "Pa3+", 0.0407906802], + ["Pa3+", "Cu2+", 0.0407906802], + ["Cu2+", "U6+", 0.4031107827], + ["U6+", "Cu2+", 0.4031107827], + ["Cu2+", "U4+", 0.2333847693], + ["U4+", "Cu2+", 0.2333847693], + ["Cu2+", "U3+", 0.0799495071], + ["U3+", "Cu2+", 0.0799495071], + ["Cu2+", "U2+", 0.1732235795], + ["U2+", "Cu2+", 0.1732235795], + ["Cu2+", "U5+", 0.2653694447], + ["U5+", "Cu2+", 0.2653694447], + ["Cu2+", "Np6+", 0.2960832723], + ["Np6+", "Cu2+", 0.2960832723], + ["Cu2+", "Np4+", 0.1839324361], + ["Np4+", "Cu2+", 0.1839324361], + ["Cu2+", "Np3+", 0.201143209], + ["Np3+", "Cu2+", 0.201143209], + ["Cu2+", "Np7+", 0.342912868], + ["Np7+", "Cu2+", 0.342912868], + ["Cu2+", "Np5+", 0.5497031136], + ["Np5+", "Cu2+", 0.5497031136], + ["Cu2+", "Pu7+", 0.4181583455], + ["Pu7+", "Cu2+", 0.4181583455], + ["Cu2+", "Pu6+", 0.0658832659], + ["Pu6+", "Cu2+", 0.0658832659], + ["Cu2+", "Pu3+", 0.2282229041], + ["Pu3+", "Cu2+", 0.2282229041], + ["Cu2+", "Pu4+", 0.2590000022], + ["Pu4+", "Cu2+", 0.2590000022], + ["Cu2+", "Pu5+", 0.3136584957], + ["Pu5+", "Cu2+", 0.3136584957], + ["Cu2+", "H1+", 0.195442128], + ["H1+", "Cu2+", 0.195442128], + ["Cu2+", "H1-", 0.0162714189], + ["H1-", "Cu2+", 0.0162714189], + ["Cu2+", "Li1+", 0.4186531309], + ["Li1+", "Cu2+", 0.4186531309], + ["Cu2+", "B1+", 0.0048786624], + ["B1+", "Cu2+", 0.0048786624], + ["Cu2+", "B1-", -0.0317884096], + ["B1-", "Cu2+", -0.0317884096], + ["Cu2+", "C1-", 0.1224103138], + ["C1-", "Cu2+", 0.1224103138], + ["Cu2+", "C1+", 0.2383652439], + ["C1+", "Cu2+", 0.2383652439], + ["Cu2+", "N1-", 0.217834917], + ["N1-", "Cu2+", 0.217834917], + ["Cu2+", "N1+", 0.3442244185], + ["N1+", "Cu2+", 0.3442244185], + ["Cu2+", "O1-", 0.4203722841], + ["O1-", "Cu2+", 0.4203722841], + ["Cu2+", "F1-", 0.2967442631], + ["F1-", "Cu2+", 0.2967442631], + ["Cu2+", "Na1+", 0.60188049], + ["Na1+", "Cu2+", 0.60188049], + ["Cu2+", "Si1-", 0.0830603491], + ["Si1-", "Cu2+", 0.0830603491], + ["Cu2+", "P1+", 0.2136769965], + ["P1+", "Cu2+", 0.2136769965], + ["Cu2+", "P1-", 0.032525233], + ["P1-", "Cu2+", 0.032525233], + ["Cu2+", "S1-", 0.2998106187], + ["S1-", "Cu2+", 0.2998106187], + ["Cu2+", "S1+", 0.1507417389], + ["S1+", "Cu2+", 0.1507417389], + ["Cu2+", "Cl1-", 0.2364775827], + ["Cl1-", "Cu2+", 0.2364775827], + ["Cu2+", "K1+", 0.6528344155], + ["K1+", "Cu2+", 0.6528344155], + ["Cu2+", "Sc1+", -0.0077377821], + ["Sc1+", "Cu2+", -0.0077377821], + ["Cu2+", "Mn1+", 0.2759283742], + ["Mn1+", "Cu2+", 0.2759283742], + ["Cu2+", "Fe1+", 0.0573845624], + ["Fe1+", "Cu2+", 0.0573845624], + ["Cu2+", "Co1+", 0.193303842], + ["Co1+", "Cu2+", 0.193303842], + ["Cu2+", "Ni1+", 0.1411618322], + ["Ni1+", "Cu2+", 0.1411618322], + ["Cu2+", "Cu1+", 0.4852065782], + ["Cu1+", "Cu2+", 0.4852065782], + ["Cu2+", "Ga1+", 0.1667261819], + ["Ga1+", "Cu2+", 0.1667261819], + ["Cu2+", "As1-", 0.0617802267], + ["As1-", "Cu2+", 0.0617802267], + ["Cu2+", "As1+", 0.1894080104], + ["As1+", "Cu2+", 0.1894080104], + ["Cu2+", "Se1-", 0.2376278818], + ["Se1-", "Cu2+", 0.2376278818], + ["Cu2+", "Se1+", 0.2961558839], + ["Se1+", "Cu2+", 0.2961558839], + ["Cu2+", "Br1-", 0.2117449397], + ["Br1-", "Cu2+", 0.2117449397], + ["Cu2+", "Br1+", 0.3545606503], + ["Br1+", "Cu2+", 0.3545606503], + ["Cu2+", "Rb1+", 0.5936036052], + ["Rb1+", "Cu2+", 0.5936036052], + ["Cu2+", "Y1+", 0.1302019617], + ["Y1+", "Cu2+", 0.1302019617], + ["Cu2+", "Zr1+", 0.0815608817], + ["Zr1+", "Cu2+", 0.0815608817], + ["Cu2+", "Nb1+", 0.1567446574], + ["Nb1+", "Cu2+", 0.1567446574], + ["Cu2+", "Tc1-", -0.0012761404], + ["Tc1-", "Cu2+", -0.0012761404], + ["Cu2+", "Tc1+", 0.2838674991], + ["Tc1+", "Cu2+", 0.2838674991], + ["Cu2+", "Rh1+", 0.1289178741], + ["Rh1+", "Cu2+", 0.1289178741], + ["Cu2+", "Ag1+", 0.6396585594], + ["Ag1+", "Cu2+", 0.6396585594], + ["Cu2+", "In1+", 0.0741615763], + ["In1+", "Cu2+", 0.0741615763], + ["Cu2+", "Sb1-", -0.0602512193], + ["Sb1-", "Cu2+", -0.0602512193], + ["Cu2+", "Sb1+", 0.0882222183], + ["Sb1+", "Cu2+", 0.0882222183], + ["Cu2+", "Te1-", 0.1953793552], + ["Te1-", "Cu2+", 0.1953793552], + ["Cu2+", "Te1+", 0.2743449329], + ["Te1+", "Cu2+", 0.2743449329], + ["Cu2+", "I1-", 0.0916717757], + ["I1-", "Cu2+", 0.0916717757], + ["Cu2+", "I1+", 0.2753311889], + ["I1+", "Cu2+", 0.2753311889], + ["Cu2+", "Cs1+", 0.4892330895], + ["Cs1+", "Cu2+", 0.4892330895], + ["Cu2+", "La1+", -0.0447750376], + ["La1+", "Cu2+", -0.0447750376], + ["Cu2+", "Tb1+", 0.0409770367], + ["Tb1+", "Cu2+", 0.0409770367], + ["Cu2+", "Ta1+", 0.1215267462], + ["Ta1+", "Cu2+", 0.1215267462], + ["Cu2+", "Os1-", -0.0042719634], + ["Os1-", "Cu2+", -0.0042719634], + ["Cu2+", "Os1+", 0.0371955319], + ["Os1+", "Cu2+", 0.0371955319], + ["Cu2+", "Pt1-", 0.0387836519], + ["Pt1-", "Cu2+", 0.0387836519], + ["Cu2+", "Pt1+", 0.1623429577], + ["Pt1+", "Cu2+", 0.1623429577], + ["Cu2+", "Au1-", -0.0434749818], + ["Au1-", "Cu2+", -0.0434749818], + ["Cu2+", "Au1+", 0.2483797815], + ["Au1+", "Cu2+", 0.2483797815], + ["Cu2+", "Hg1+", 0.4653977925], + ["Hg1+", "Cu2+", 0.4653977925], + ["Cu2+", "Tl1+", 0.5335783099], + ["Tl1+", "Cu2+", 0.5335783099], + ["Cu2+", "Bi1+", 0.0134748082], + ["Bi1+", "Cu2+", 0.0134748082], + ["Cu3+", "Cu3+", 1.0], + ["Cu3+", "Zn2+", 0.1764032368], + ["Zn2+", "Cu3+", 0.1764032368], + ["Cu3+", "Ga3+", 0.2014084465], + ["Ga3+", "Cu3+", 0.2014084465], + ["Cu3+", "Ga4+", 0.3261441977], + ["Ga4+", "Cu3+", 0.3261441977], + ["Cu3+", "Ga2+", -0.1329720673], + ["Ga2+", "Cu3+", -0.1329720673], + ["Cu3+", "Ge4-", -0.1062707258], + ["Ge4-", "Cu3+", -0.1062707258], + ["Cu3+", "Ge4+", 0.2524004341], + ["Ge4+", "Cu3+", 0.2524004341], + ["Cu3+", "Ge2-", -0.0644082778], + ["Ge2-", "Cu3+", -0.0644082778], + ["Cu3+", "Ge2+", 0.1393875396], + ["Ge2+", "Cu3+", 0.1393875396], + ["Cu3+", "Ge3+", 0.0467964854], + ["Ge3+", "Cu3+", 0.0467964854], + ["Cu3+", "As2-", 0.035982952], + ["As2-", "Cu3+", 0.035982952], + ["Cu3+", "As3+", 0.2977810931], + ["As3+", "Cu3+", 0.2977810931], + ["Cu3+", "As5+", 0.5319072298], + ["As5+", "Cu3+", 0.5319072298], + ["Cu3+", "As3-", -0.1194118962], + ["As3-", "Cu3+", -0.1194118962], + ["Cu3+", "As2+", 0.2646039162], + ["As2+", "Cu3+", 0.2646039162], + ["Cu3+", "As4+", 0.4000980564], + ["As4+", "Cu3+", 0.4000980564], + ["Cu3+", "Se2-", 0.020126289], + ["Se2-", "Cu3+", 0.020126289], + ["Cu3+", "Se4+", 0.5429082767], + ["Se4+", "Cu3+", 0.5429082767], + ["Cu3+", "Se6+", 0.4552243467], + ["Se6+", "Cu3+", 0.4552243467], + ["Cu3+", "Se5+", 0.3968427904], + ["Se5+", "Cu3+", 0.3968427904], + ["Cu3+", "Se2+", 0.0878969627], + ["Se2+", "Cu3+", 0.0878969627], + ["Cu3+", "Se3+", 0.1844920987], + ["Se3+", "Cu3+", 0.1844920987], + ["Cu3+", "Br2+", 0.0732801907], + ["Br2+", "Cu3+", 0.0732801907], + ["Cu3+", "Br5+", 0.5893284143], + ["Br5+", "Cu3+", 0.5893284143], + ["Cu3+", "Br3+", 0.5352941864], + ["Br3+", "Cu3+", 0.5352941864], + ["Cu3+", "Sr2+", 0.4990731456], + ["Sr2+", "Cu3+", 0.4990731456], + ["Cu3+", "Y3+", 0.3867484635], + ["Y3+", "Cu3+", 0.3867484635], + ["Cu3+", "Y2+", 0.4071441529], + ["Y2+", "Cu3+", 0.4071441529], + ["Cu3+", "Zr2+", -0.1958905267], + ["Zr2+", "Cu3+", -0.1958905267], + ["Cu3+", "Zr4+", 0.3847696789], + ["Zr4+", "Cu3+", 0.3847696789], + ["Cu3+", "Zr3+", 0.0339927256], + ["Zr3+", "Cu3+", 0.0339927256], + ["Cu3+", "Nb5+", 0.4401362569], + ["Nb5+", "Cu3+", 0.4401362569], + ["Cu3+", "Nb3+", 0.1000060077], + ["Nb3+", "Cu3+", 0.1000060077], + ["Cu3+", "Nb4+", 0.2184535419], + ["Nb4+", "Cu3+", 0.2184535419], + ["Cu3+", "Nb2+", -0.0072717199], + ["Nb2+", "Cu3+", -0.0072717199], + ["Cu3+", "Nb7+", 0.3835444381], + ["Nb7+", "Cu3+", 0.3835444381], + ["Cu3+", "Mo3+", 0.1104679851], + ["Mo3+", "Cu3+", 0.1104679851], + ["Cu3+", "Mo4+", 0.2816595524], + ["Mo4+", "Cu3+", 0.2816595524], + ["Cu3+", "Mo6+", 0.3348234179], + ["Mo6+", "Cu3+", 0.3348234179], + ["Cu3+", "Mo5+", 0.4203924022], + ["Mo5+", "Cu3+", 0.4203924022], + ["Cu3+", "Mo2+", -0.0105572775], + ["Mo2+", "Cu3+", -0.0105572775], + ["Cu3+", "Tc4+", 0.2958572299], + ["Tc4+", "Cu3+", 0.2958572299], + ["Cu3+", "Tc3-", -0.4040887473], + ["Tc3-", "Cu3+", -0.4040887473], + ["Cu3+", "Tc3+", 0.0289573791], + ["Tc3+", "Cu3+", 0.0289573791], + ["Cu3+", "Tc7+", 0.3438922024], + ["Tc7+", "Cu3+", 0.3438922024], + ["Cu3+", "Tc5+", 0.2862736638], + ["Tc5+", "Cu3+", 0.2862736638], + ["Cu3+", "Tc6+", 0.0841888902], + ["Tc6+", "Cu3+", 0.0841888902], + ["Cu3+", "Tc2-", -0.1522858963], + ["Tc2-", "Cu3+", -0.1522858963], + ["Cu3+", "Tc2+", 0.077810841], + ["Tc2+", "Cu3+", 0.077810841], + ["Cu3+", "Ru2+", -0.074357133], + ["Ru2+", "Cu3+", -0.074357133], + ["Cu3+", "Ru6+", 0.3211920749], + ["Ru6+", "Cu3+", 0.3211920749], + ["Cu3+", "Ru4+", 0.2118350829], + ["Ru4+", "Cu3+", 0.2118350829], + ["Cu3+", "Ru5+", 0.2539144816], + ["Ru5+", "Cu3+", 0.2539144816], + ["Cu3+", "Ru3+", 0.0737836265], + ["Ru3+", "Cu3+", 0.0737836265], + ["Cu3+", "Rh4+", 0.1341926853], + ["Rh4+", "Cu3+", 0.1341926853], + ["Cu3+", "Rh3+", 0.0399338072], + ["Rh3+", "Cu3+", 0.0399338072], + ["Cu3+", "Pd2+", 0.1417007173], + ["Pd2+", "Cu3+", 0.1417007173], + ["Cu3+", "Pd4+", 0.1289431625], + ["Pd4+", "Cu3+", 0.1289431625], + ["Cu3+", "Pd3+", 0.131485046], + ["Pd3+", "Cu3+", 0.131485046], + ["Cu3+", "Ag3+", 0.6711280581], + ["Ag3+", "Cu3+", 0.6711280581], + ["Cu3+", "Ag2+", 0.4930080697], + ["Ag2+", "Cu3+", 0.4930080697], + ["Cu3+", "Cd2+", 0.3071984171], + ["Cd2+", "Cu3+", 0.3071984171], + ["Cu3+", "In3+", 0.2600415315], + ["In3+", "Cu3+", 0.2600415315], + ["Cu3+", "In2+", -0.0236872619], + ["In2+", "Cu3+", -0.0236872619], + ["Cu3+", "Sn4+", 0.1784554756], + ["Sn4+", "Cu3+", 0.1784554756], + ["Cu3+", "Sn3+", 0.350894229], + ["Sn3+", "Cu3+", 0.350894229], + ["Cu3+", "Sn2+", 0.273673042], + ["Sn2+", "Cu3+", 0.273673042], + ["Cu3+", "Sb5+", 0.4770199433], + ["Sb5+", "Cu3+", 0.4770199433], + ["Cu3+", "Sb2-", -0.0115210392], + ["Sb2-", "Cu3+", -0.0115210392], + ["Cu3+", "Sb3-", -0.1640874747], + ["Sb3-", "Cu3+", -0.1640874747], + ["Cu3+", "Sb3+", 0.2971112137], + ["Sb3+", "Cu3+", 0.2971112137], + ["Cu3+", "Sb4+", 0.5154269325], + ["Sb4+", "Cu3+", 0.5154269325], + ["Cu3+", "Te2-", 0.0211271483], + ["Te2-", "Cu3+", 0.0211271483], + ["Cu3+", "Te4+", 0.492414543], + ["Te4+", "Cu3+", 0.492414543], + ["Cu3+", "Te6+", 0.5149832484], + ["Te6+", "Cu3+", 0.5149832484], + ["Cu3+", "Te2+", 0.2225713314], + ["Te2+", "Cu3+", 0.2225713314], + ["Cu3+", "Te5+", 0.440760076], + ["Te5+", "Cu3+", 0.440760076], + ["Cu3+", "I3+", 0.5432442863], + ["I3+", "Cu3+", 0.5432442863], + ["Cu3+", "I7+", 0.4914798633], + ["I7+", "Cu3+", 0.4914798633], + ["Cu3+", "I5+", 0.6300106058], + ["I5+", "Cu3+", 0.6300106058], + ["Cu3+", "I2+", 0.547928766], + ["I2+", "Cu3+", 0.547928766], + ["Cu3+", "Ba2+", 0.4478712889], + ["Ba2+", "Cu3+", 0.4478712889], + ["Cu3+", "La3+", 0.2185925959], + ["La3+", "Cu3+", 0.2185925959], + ["Cu3+", "La2+", 0.0999516429], + ["La2+", "Cu3+", 0.0999516429], + ["Cu3+", "Ce3+", -0.0332461385], + ["Ce3+", "Cu3+", -0.0332461385], + ["Cu3+", "Ce2+", -0.1406315994], + ["Ce2+", "Cu3+", -0.1406315994], + ["Cu3+", "Ce4+", 0.2433137977], + ["Ce4+", "Cu3+", 0.2433137977], + ["Cu3+", "Pr3+", 0.0853990195], + ["Pr3+", "Cu3+", 0.0853990195], + ["Cu3+", "Pr4+", 0.2314985232], + ["Pr4+", "Cu3+", 0.2314985232], + ["Cu3+", "Pr2+", 0.01795545], + ["Pr2+", "Cu3+", 0.01795545], + 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"Cu3+", 0.12099418], + ["Cu3+", "Ho2+", -0.0240571676], + ["Ho2+", "Cu3+", -0.0240571676], + ["Cu3+", "Er3+", 0.1615840073], + ["Er3+", "Cu3+", 0.1615840073], + ["Cu3+", "Tm3+", 0.0876676343], + ["Tm3+", "Cu3+", 0.0876676343], + ["Cu3+", "Tm2+", -0.1388630598], + ["Tm2+", "Cu3+", -0.1388630598], + ["Cu3+", "Yb3+", 0.1815397396], + ["Yb3+", "Cu3+", 0.1815397396], + ["Cu3+", "Yb2+", -0.1217144035], + ["Yb2+", "Cu3+", -0.1217144035], + ["Cu3+", "Lu3+", 0.1430052861], + ["Lu3+", "Cu3+", 0.1430052861], + ["Cu3+", "Hf3+", -0.1394323812], + ["Hf3+", "Cu3+", -0.1394323812], + ["Cu3+", "Hf2+", 0.0726587667], + ["Hf2+", "Cu3+", 0.0726587667], + ["Cu3+", "Hf4+", 0.3099976735], + ["Hf4+", "Cu3+", 0.3099976735], + ["Cu3+", "Ta5+", 0.428313463], + ["Ta5+", "Cu3+", 0.428313463], + ["Cu3+", "Ta3+", -0.0277475116], + ["Ta3+", "Cu3+", -0.0277475116], + ["Cu3+", "Ta4+", 0.0873846454], + ["Ta4+", "Cu3+", 0.0873846454], + ["Cu3+", "Ta2+", -0.1651849438], + ["Ta2+", "Cu3+", -0.1651849438], + ["Cu3+", "W6+", 0.4924939351], + ["W6+", "Cu3+", 0.4924939351], + ["Cu3+", "W4+", 0.3575714457], + ["W4+", "Cu3+", 0.3575714457], + ["Cu3+", "W2+", -0.0063074247], + ["W2+", "Cu3+", -0.0063074247], + ["Cu3+", "W3+", 0.2406622039], + ["W3+", "Cu3+", 0.2406622039], + ["Cu3+", "W5+", 0.4244145588], + ["W5+", "Cu3+", 0.4244145588], + ["Cu3+", "Re5+", 0.1998364755], + ["Re5+", "Cu3+", 0.1998364755], + ["Cu3+", "Re3+", -0.1783078499], + ["Re3+", "Cu3+", -0.1783078499], + ["Cu3+", "Re6+", 0.1713620292], + ["Re6+", "Cu3+", 0.1713620292], + ["Cu3+", "Re2+", 0.1599551477], + ["Re2+", "Cu3+", 0.1599551477], + ["Cu3+", "Re4+", 0.0257667845], + ["Re4+", "Cu3+", 0.0257667845], + ["Cu3+", "Re7+", 0.1327576074], + ["Re7+", "Cu3+", 0.1327576074], + ["Cu3+", "Os7+", 0.3604230263], + ["Os7+", "Cu3+", 0.3604230263], + ["Cu3+", "Os6+", 0.2512141587], + ["Os6+", "Cu3+", 0.2512141587], + ["Cu3+", "Os5+", 0.1998745609], + ["Os5+", "Cu3+", 0.1998745609], + ["Cu3+", "Os2-", -0.3405588076], + ["Os2-", "Cu3+", -0.3405588076], + ["Cu3+", "Os3+", -0.0410752546], + ["Os3+", "Cu3+", -0.0410752546], + ["Cu3+", "Os4+", 0.0456474444], + ["Os4+", "Cu3+", 0.0456474444], + ["Cu3+", "Os8+", 0.1561440951], + ["Os8+", "Cu3+", 0.1561440951], + ["Cu3+", "Os2+", 0.1494849289], + ["Os2+", "Cu3+", 0.1494849289], + ["Cu3+", "Ir3+", 0.0234573518], + ["Ir3+", "Cu3+", 0.0234573518], + ["Cu3+", "Ir4+", 0.1363305918], + ["Ir4+", "Cu3+", 0.1363305918], + ["Cu3+", "Ir5+", 0.027087212], + ["Ir5+", "Cu3+", 0.027087212], + ["Cu3+", "Ir6+", 0.4190808237], + ["Ir6+", "Cu3+", 0.4190808237], + ["Cu3+", "Pt2+", 0.0030858305], + ["Pt2+", "Cu3+", 0.0030858305], + ["Cu3+", "Pt2-", -0.2504889407], + ["Pt2-", "Cu3+", -0.2504889407], + ["Cu3+", "Pt4+", 0.3445828516], + ["Pt4+", "Cu3+", 0.3445828516], + ["Cu3+", "Pt3+", 0.1861261691], + ["Pt3+", "Cu3+", 0.1861261691], + ["Cu3+", "Pt5+", 0.21084341], + ["Pt5+", "Cu3+", 0.21084341], + ["Cu3+", "Pt6+", 0.4241937452], + ["Pt6+", "Cu3+", 0.4241937452], + ["Cu3+", "Au2+", 0.030744469], + ["Au2+", "Cu3+", 0.030744469], + ["Cu3+", "Au3+", 0.2183702721], + ["Au3+", "Cu3+", 0.2183702721], + ["Cu3+", "Au5+", 0.2260483392], + ["Au5+", "Cu3+", 0.2260483392], + ["Cu3+", "Au4+", 0.2487346668], + ["Au4+", "Cu3+", 0.2487346668], + ["Cu3+", "Hg2+", 0.1530653247], + ["Hg2+", "Cu3+", 0.1530653247], + ["Cu3+", "Tl3+", 0.3517953491], + ["Tl3+", "Cu3+", 0.3517953491], + ["Cu3+", "Tl2+", 0.3597077056], + ["Tl2+", "Cu3+", 0.3597077056], + ["Cu3+", "Pb2+", 0.391535581], + ["Pb2+", "Cu3+", 0.391535581], + ["Cu3+", "Pb3+", 0.4212166624], + ["Pb3+", "Cu3+", 0.4212166624], + ["Cu3+", "Pb4+", 0.3922511857], + ["Pb4+", "Cu3+", 0.3922511857], + ["Cu3+", "Bi3+", 0.4825583492], + ["Bi3+", "Cu3+", 0.4825583492], + ["Cu3+", "Bi5+", 0.4925516037], + ["Bi5+", "Cu3+", 0.4925516037], + ["Cu3+", "Bi2+", 0.1877211138], + ["Bi2+", "Cu3+", 0.1877211138], + ["Cu3+", "Bi3-", 0.0712301878], + ["Bi3-", "Cu3+", 0.0712301878], + ["Cu3+", "Bi4+", 0.3861251893], + ["Bi4+", "Cu3+", 0.3861251893], + ["Cu3+", "Ac3+", 0.1201038945], + ["Ac3+", "Cu3+", 0.1201038945], + ["Cu3+", "Th4+", 0.2297248509], + ["Th4+", "Cu3+", 0.2297248509], + ["Cu3+", "Th3+", -0.2257609709], + ["Th3+", "Cu3+", -0.2257609709], + ["Cu3+", "Pa4+", -0.0388182797], + ["Pa4+", "Cu3+", -0.0388182797], + ["Cu3+", "Pa5+", 0.3449632586], + ["Pa5+", "Cu3+", 0.3449632586], + ["Cu3+", "Pa3+", -0.0742219316], + ["Pa3+", "Cu3+", -0.0742219316], + ["Cu3+", "U6+", 0.3916383962], + ["U6+", "Cu3+", 0.3916383962], + ["Cu3+", "U4+", 0.0440900461], + ["U4+", "Cu3+", 0.0440900461], + ["Cu3+", "U3+", -0.1843686104], + ["U3+", "Cu3+", -0.1843686104], + ["Cu3+", "U2+", -0.27207593], + ["U2+", "Cu3+", -0.27207593], + ["Cu3+", "U5+", 0.1861356792], + ["U5+", "Cu3+", 0.1861356792], + ["Cu3+", "Np6+", 0.2104282158], + ["Np6+", "Cu3+", 0.2104282158], + ["Cu3+", "Np4+", 0.1227382598], + ["Np4+", "Cu3+", 0.1227382598], + ["Cu3+", "Np3+", -0.0916627471], + ["Np3+", "Cu3+", -0.0916627471], + ["Cu3+", "Np7+", 0.3799738538], + ["Np7+", "Cu3+", 0.3799738538], + ["Cu3+", "Np5+", 0.2728208954], + ["Np5+", "Cu3+", 0.2728208954], + ["Cu3+", "Pu7+", 0.4872110177], + ["Pu7+", "Cu3+", 0.4872110177], + ["Cu3+", "Pu6+", 0.0222321152], + ["Pu6+", "Cu3+", 0.0222321152], + ["Cu3+", "Pu3+", -0.0110065093], + ["Pu3+", "Cu3+", -0.0110065093], + ["Cu3+", "Pu4+", 0.3362068317], + ["Pu4+", "Cu3+", 0.3362068317], + ["Cu3+", "Pu5+", 0.2198112452], + ["Pu5+", "Cu3+", 0.2198112452], + ["Cu3+", "H1+", 0.3556710139], + ["H1+", "Cu3+", 0.3556710139], + ["Cu3+", "H1-", 0.1410091915], + ["H1-", "Cu3+", 0.1410091915], + ["Cu3+", "Li1+", 0.4106927496], + ["Li1+", "Cu3+", 0.4106927496], + ["Cu3+", "B1+", 0.2165274487], + ["B1+", "Cu3+", 0.2165274487], + ["Cu3+", "B1-", -0.0497126224], + ["B1-", "Cu3+", -0.0497126224], + ["Cu3+", "C1-", 0.0718863921], + ["C1-", "Cu3+", 0.0718863921], + ["Cu3+", "C1+", 0.3181905975], + ["C1+", "Cu3+", 0.3181905975], + ["Cu3+", "N1-", 0.3235519006], + ["N1-", "Cu3+", 0.3235519006], + ["Cu3+", "N1+", 0.4055021369], + ["N1+", "Cu3+", 0.4055021369], + ["Cu3+", "O1-", 0.4956508547], + ["O1-", "Cu3+", 0.4956508547], + ["Cu3+", "F1-", 0.1789937661], + ["F1-", "Cu3+", 0.1789937661], + ["Cu3+", "Na1+", 0.5069841402], + ["Na1+", "Cu3+", 0.5069841402], + ["Cu3+", "Si1-", 0.0956421527], + ["Si1-", "Cu3+", 0.0956421527], + ["Cu3+", "P1+", 0.0287293682], + ["P1+", "Cu3+", 0.0287293682], + ["Cu3+", "P1-", 0.0401346041], + ["P1-", "Cu3+", 0.0401346041], + ["Cu3+", "S1-", 0.1776591559], + ["S1-", "Cu3+", 0.1776591559], + ["Cu3+", "S1+", 0.1785502696], + ["S1+", "Cu3+", 0.1785502696], + ["Cu3+", "Cl1-", 0.0911376658], + ["Cl1-", "Cu3+", 0.0911376658], + ["Cu3+", "K1+", 0.4408426544], + ["K1+", "Cu3+", 0.4408426544], + ["Cu3+", "Sc1+", -0.1584295589], + ["Sc1+", "Cu3+", -0.1584295589], + ["Cu3+", "Mn1+", 0.2125255998], + ["Mn1+", "Cu3+", 0.2125255998], + ["Cu3+", "Fe1+", -0.1477656895], + ["Fe1+", "Cu3+", -0.1477656895], + ["Cu3+", "Co1+", -0.1115378982], + ["Co1+", "Cu3+", -0.1115378982], + ["Cu3+", "Ni1+", -0.2202225902], + ["Ni1+", "Cu3+", -0.2202225902], + ["Cu3+", "Cu1+", -0.0034704446], + ["Cu1+", "Cu3+", -0.0034704446], + ["Cu3+", "Ga1+", 0.0902909019], + ["Ga1+", "Cu3+", 0.0902909019], + ["Cu3+", "As1-", 0.1267317226], + ["As1-", "Cu3+", 0.1267317226], + ["Cu3+", "As1+", 0.0259701808], + ["As1+", "Cu3+", 0.0259701808], + ["Cu3+", "Se1-", 0.2296906678], + ["Se1-", "Cu3+", 0.2296906678], + ["Cu3+", "Se1+", 0.2779980109], + ["Se1+", "Cu3+", 0.2779980109], + ["Cu3+", "Br1-", 0.1567770994], + ["Br1-", "Cu3+", 0.1567770994], + ["Cu3+", "Br1+", 0.4169852918], + ["Br1+", "Cu3+", 0.4169852918], + ["Cu3+", "Rb1+", 0.4390313921], + ["Rb1+", "Cu3+", 0.4390313921], + ["Cu3+", "Y1+", 0.1042738067], + ["Y1+", "Cu3+", 0.1042738067], + ["Cu3+", "Zr1+", -0.1661530554], + ["Zr1+", "Cu3+", -0.1661530554], + ["Cu3+", "Nb1+", -0.1006116229], + ["Nb1+", "Cu3+", -0.1006116229], + ["Cu3+", "Tc1-", -0.0553809923], + ["Tc1-", "Cu3+", -0.0553809923], + ["Cu3+", "Tc1+", 0.1133710843], + ["Tc1+", "Cu3+", 0.1133710843], + ["Cu3+", "Rh1+", -0.1462097014], + ["Rh1+", "Cu3+", -0.1462097014], + ["Cu3+", "Ag1+", 0.3081706506], + ["Ag1+", "Cu3+", 0.3081706506], + ["Cu3+", "In1+", -0.0090815082], + ["In1+", "Cu3+", -0.0090815082], + ["Cu3+", "Sb1-", -0.05939149], + ["Sb1-", "Cu3+", -0.05939149], + ["Cu3+", "Sb1+", 0.083869463], + ["Sb1+", "Cu3+", 0.083869463], + ["Cu3+", "Te1-", 0.1649728815], + ["Te1-", "Cu3+", 0.1649728815], + ["Cu3+", "Te1+", 0.2016988502], + ["Te1+", "Cu3+", 0.2016988502], + ["Cu3+", "I1-", 0.2309120779], + ["I1-", "Cu3+", 0.2309120779], + ["Cu3+", "I1+", 0.341813112], + ["I1+", "Cu3+", 0.341813112], + ["Cu3+", "Cs1+", 0.3069486809], + ["Cs1+", "Cu3+", 0.3069486809], + ["Cu3+", "La1+", -0.0920548025], + ["La1+", "Cu3+", -0.0920548025], + ["Cu3+", "Tb1+", -0.1553362676], + ["Tb1+", "Cu3+", -0.1553362676], + ["Cu3+", "Ta1+", -0.3124540532], + ["Ta1+", "Cu3+", -0.3124540532], + ["Cu3+", "Os1-", -0.272345555], + ["Os1-", "Cu3+", -0.272345555], + ["Cu3+", "Os1+", 0.1789057208], + ["Os1+", "Cu3+", 0.1789057208], + ["Cu3+", "Pt1-", -0.2042335991], + ["Pt1-", "Cu3+", -0.2042335991], + ["Cu3+", "Pt1+", 0.0816840556], + ["Pt1+", "Cu3+", 0.0816840556], + ["Cu3+", "Au1-", -0.0938173364], + ["Au1-", "Cu3+", -0.0938173364], + ["Cu3+", "Au1+", -0.03646918], + ["Au1+", "Cu3+", -0.03646918], + ["Cu3+", "Hg1+", 0.5654066627], + ["Hg1+", "Cu3+", 0.5654066627], + ["Cu3+", "Tl1+", 0.3619754366], + ["Tl1+", "Cu3+", 0.3619754366], + ["Cu3+", "Bi1+", 0.0027390844], + ["Bi1+", "Cu3+", 0.0027390844], + ["Zn2+", "Zn2+", 1.0], + ["Zn2+", "Ga3+", 0.6757182743], + ["Ga3+", "Zn2+", 0.6757182743], + ["Zn2+", "Ga4+", 0.1976353105], + ["Ga4+", "Zn2+", 0.1976353105], + ["Zn2+", "Ga2+", 0.3543053998], + ["Ga2+", "Zn2+", 0.3543053998], + ["Zn2+", "Ge4-", 0.13025822], + ["Ge4-", "Zn2+", 0.13025822], + ["Zn2+", "Ge4+", 0.6183291057], + ["Ge4+", "Zn2+", 0.6183291057], + ["Zn2+", "Ge2-", 0.2162929874], + ["Ge2-", "Zn2+", 0.2162929874], + ["Zn2+", "Ge2+", 0.1972076431], + ["Ge2+", "Zn2+", 0.1972076431], + ["Zn2+", "Ge3+", 0.30351513], + ["Ge3+", "Zn2+", 0.30351513], + ["Zn2+", "As2-", 0.260632235], + ["As2-", "Zn2+", 0.260632235], + ["Zn2+", "As3+", 0.2861014021], + ["As3+", "Zn2+", 0.2861014021], + ["Zn2+", "As5+", 0.2032665117], + ["As5+", "Zn2+", 0.2032665117], + ["Zn2+", "As3-", 0.1943862872], + ["As3-", "Zn2+", 0.1943862872], + ["Zn2+", "As2+", 0.3657314524], + ["As2+", "Zn2+", 0.3657314524], + ["Zn2+", "As4+", 0.1959914164], + ["As4+", "Zn2+", 0.1959914164], + ["Zn2+", "Se2-", 0.0082092702], + ["Se2-", "Zn2+", 0.0082092702], + ["Zn2+", "Se4+", 0.2889288431], + ["Se4+", "Zn2+", 0.2889288431], + ["Zn2+", "Se6+", 0.1305537603], + ["Se6+", "Zn2+", 0.1305537603], + ["Zn2+", "Se5+", 0.3329884143], + ["Se5+", "Zn2+", 0.3329884143], + ["Zn2+", "Se2+", 0.2896147288], + ["Se2+", "Zn2+", 0.2896147288], + ["Zn2+", "Se3+", 0.0756466], + ["Se3+", "Zn2+", 0.0756466], + ["Zn2+", "Br2+", 0.3780314804], + ["Br2+", "Zn2+", 0.3780314804], + ["Zn2+", "Br5+", 0.1620102127], + ["Br5+", "Zn2+", 0.1620102127], + ["Zn2+", "Br3+", 0.0780965333], + ["Br3+", "Zn2+", 0.0780965333], + ["Zn2+", "Sr2+", 0.6363314166], + ["Sr2+", "Zn2+", 0.6363314166], + ["Zn2+", "Y3+", 0.3664366921], + ["Y3+", "Zn2+", 0.3664366921], + ["Zn2+", "Y2+", 0.206822409], + ["Y2+", "Zn2+", 0.206822409], + ["Zn2+", "Zr2+", -0.0165451629], + ["Zr2+", "Zn2+", -0.0165451629], + ["Zn2+", "Zr4+", 0.1899843579], + ["Zr4+", "Zn2+", 0.1899843579], + ["Zn2+", "Zr3+", 0.1021837465], + ["Zr3+", "Zn2+", 0.1021837465], + ["Zn2+", "Nb5+", 0.3384091196], + ["Nb5+", "Zn2+", 0.3384091196], + ["Zn2+", "Nb3+", 0.3705181462], + ["Nb3+", "Zn2+", 0.3705181462], + ["Zn2+", "Nb4+", 0.3304402677], + ["Nb4+", "Zn2+", 0.3304402677], + ["Zn2+", "Nb2+", 0.341325094], + ["Nb2+", "Zn2+", 0.341325094], + ["Zn2+", "Nb7+", 0.1759060981], + ["Nb7+", "Zn2+", 0.1759060981], + ["Zn2+", "Mo3+", 0.470521713], + ["Mo3+", "Zn2+", 0.470521713], + ["Zn2+", "Mo4+", 0.4466937833], + ["Mo4+", "Zn2+", 0.4466937833], + ["Zn2+", "Mo6+", 0.4335489428], + ["Mo6+", "Zn2+", 0.4335489428], + ["Zn2+", "Mo5+", 0.2297238724], + ["Mo5+", "Zn2+", 0.2297238724], + ["Zn2+", "Mo2+", 0.3290875875], + ["Mo2+", "Zn2+", 0.3290875875], + ["Zn2+", "Tc4+", 0.1792489217], + ["Tc4+", "Zn2+", 0.1792489217], + ["Zn2+", "Tc3-", -0.052532984], + ["Tc3-", "Zn2+", -0.052532984], + ["Zn2+", "Tc3+", 0.4312564747], + ["Tc3+", "Zn2+", 0.4312564747], + ["Zn2+", "Tc7+", 0.1586638656], + ["Tc7+", "Zn2+", 0.1586638656], + ["Zn2+", "Tc5+", 0.2438317026], + ["Tc5+", "Zn2+", 0.2438317026], + ["Zn2+", "Tc6+", -0.174718231], + ["Tc6+", "Zn2+", -0.174718231], + ["Zn2+", "Tc2-", -0.0794881311], + ["Tc2-", "Zn2+", -0.0794881311], + ["Zn2+", "Tc2+", 0.1039939881], + ["Tc2+", "Zn2+", 0.1039939881], + ["Zn2+", "Ru2+", 0.2279890051], + ["Ru2+", "Zn2+", 0.2279890051], + ["Zn2+", "Ru6+", 0.1718867477], + ["Ru6+", "Zn2+", 0.1718867477], + ["Zn2+", "Ru4+", 0.4693098849], + ["Ru4+", "Zn2+", 0.4693098849], + ["Zn2+", "Ru5+", 0.5757732001], + ["Ru5+", "Zn2+", 0.5757732001], + ["Zn2+", "Ru3+", 0.1063755646], + ["Ru3+", "Zn2+", 0.1063755646], + ["Zn2+", "Rh4+", 0.2177980242], + ["Rh4+", "Zn2+", 0.2177980242], + ["Zn2+", "Rh3+", 0.372595899], + ["Rh3+", "Zn2+", 0.372595899], + ["Zn2+", "Pd2+", 0.3777487945], + ["Pd2+", "Zn2+", 0.3777487945], + ["Zn2+", "Pd4+", 0.2643206057], + ["Pd4+", "Zn2+", 0.2643206057], + ["Zn2+", "Pd3+", 0.2492442154], + ["Pd3+", "Zn2+", 0.2492442154], + ["Zn2+", "Ag3+", 0.2060606528], + ["Ag3+", "Zn2+", 0.2060606528], + ["Zn2+", "Ag2+", 0.2078186483], + ["Ag2+", "Zn2+", 0.2078186483], + ["Zn2+", "Cd2+", 0.5783212574], + ["Cd2+", "Zn2+", 0.5783212574], + ["Zn2+", "In3+", 0.6157775686], + ["In3+", "Zn2+", 0.6157775686], + ["Zn2+", "In2+", 0.3325386814], + ["In2+", "Zn2+", 0.3325386814], + ["Zn2+", "Sn4+", 0.5364940821], + ["Sn4+", "Zn2+", 0.5364940821], + ["Zn2+", "Sn3+", 0.4904360402], + ["Sn3+", "Zn2+", 0.4904360402], + ["Zn2+", "Sn2+", 0.370166505], + ["Sn2+", "Zn2+", 0.370166505], + ["Zn2+", "Sb5+", 0.2484395709], + ["Sb5+", "Zn2+", 0.2484395709], + ["Zn2+", "Sb2-", -0.0367492999], + ["Sb2-", "Zn2+", -0.0367492999], + ["Zn2+", "Sb3-", 0.009640532], + ["Sb3-", "Zn2+", 0.009640532], + ["Zn2+", "Sb3+", 0.3349520767], + ["Sb3+", "Zn2+", 0.3349520767], + ["Zn2+", "Sb4+", 0.1660998764], + ["Sb4+", "Zn2+", 0.1660998764], + ["Zn2+", "Te2-", 0.0389755288], + ["Te2-", "Zn2+", 0.0389755288], + ["Zn2+", "Te4+", 0.4089385186], + ["Te4+", "Zn2+", 0.4089385186], + ["Zn2+", "Te6+", 0.2828166836], + ["Te6+", "Zn2+", 0.2828166836], + ["Zn2+", "Te2+", 0.1931325974], + ["Te2+", "Zn2+", 0.1931325974], + ["Zn2+", "Te5+", 0.3570304615], + ["Te5+", "Zn2+", 0.3570304615], + ["Zn2+", "I3+", 0.1142487133], + ["I3+", "Zn2+", 0.1142487133], + ["Zn2+", "I7+", 0.2674473713], + ["I7+", "Zn2+", 0.2674473713], + ["Zn2+", "I5+", 0.1570233492], + ["I5+", "Zn2+", 0.1570233492], + ["Zn2+", "I2+", 0.2095931198], + ["I2+", "Zn2+", 0.2095931198], + ["Zn2+", "Ba2+", 0.56798228], + ["Ba2+", "Zn2+", 0.56798228], + ["Zn2+", "La3+", 0.5546326787], + ["La3+", "Zn2+", 0.5546326787], + ["Zn2+", "La2+", 0.2973685667], + ["La2+", "Zn2+", 0.2973685667], + ["Zn2+", "Ce3+", 0.3878317758], + ["Ce3+", "Zn2+", 0.3878317758], + ["Zn2+", "Ce2+", 0.3382186535], + ["Ce2+", "Zn2+", 0.3382186535], + ["Zn2+", "Ce4+", 0.1972052459], + ["Ce4+", "Zn2+", 0.1972052459], + ["Zn2+", "Pr3+", 0.4415482837], + ["Pr3+", "Zn2+", 0.4415482837], + ["Zn2+", "Pr4+", 0.2986800649], + ["Pr4+", "Zn2+", 0.2986800649], + ["Zn2+", "Pr2+", 0.1986438773], + ["Pr2+", "Zn2+", 0.1986438773], + ["Zn2+", "Nd3+", 0.4566200434], + ["Nd3+", "Zn2+", 0.4566200434], + ["Zn2+", "Nd2+", 0.181524825], + ["Nd2+", "Zn2+", 0.181524825], + ["Zn2+", "Pm3+", 0.4975521094], + ["Pm3+", "Zn2+", 0.4975521094], + ["Zn2+", "Sm3+", 0.5355262456], + ["Sm3+", "Zn2+", 0.5355262456], + ["Zn2+", "Sm2+", 0.222222823], + ["Sm2+", "Zn2+", 0.222222823], + ["Zn2+", "Eu2+", 0.5451758201], + ["Eu2+", "Zn2+", 0.5451758201], + ["Zn2+", "Eu3+", 0.4855575742], + ["Eu3+", "Zn2+", 0.4855575742], + ["Zn2+", "Gd2+", 0.0939969608], + ["Gd2+", "Zn2+", 0.0939969608], + ["Zn2+", "Gd3+", 0.4647121002], + ["Gd3+", "Zn2+", 0.4647121002], + ["Zn2+", "Tb3+", 0.2958651587], + ["Tb3+", "Zn2+", 0.2958651587], + ["Zn2+", "Tb2+", 0.2192822835], + ["Tb2+", "Zn2+", 0.2192822835], + ["Zn2+", "Tb4+", 0.1888735924], + ["Tb4+", "Zn2+", 0.1888735924], + ["Zn2+", "Dy3+", 0.3392599269], + ["Dy3+", "Zn2+", 0.3392599269], + ["Zn2+", "Dy2+", 0.1431290139], + ["Dy2+", "Zn2+", 0.1431290139], + ["Zn2+", "Ho3+", 0.3238585745], + ["Ho3+", "Zn2+", 0.3238585745], + ["Zn2+", "Ho2+", 0.3096328734], + ["Ho2+", "Zn2+", 0.3096328734], + ["Zn2+", "Er3+", 0.3651062334], + ["Er3+", "Zn2+", 0.3651062334], + ["Zn2+", "Tm3+", 0.3545900965], + ["Tm3+", "Zn2+", 0.3545900965], + ["Zn2+", "Tm2+", 0.2532471108], + ["Tm2+", "Zn2+", 0.2532471108], + ["Zn2+", "Yb3+", 0.3461584328], + ["Yb3+", "Zn2+", 0.3461584328], + ["Zn2+", "Yb2+", 0.2271114122], + ["Yb2+", "Zn2+", 0.2271114122], + ["Zn2+", "Lu3+", 0.3033171228], + ["Lu3+", "Zn2+", 0.3033171228], + ["Zn2+", "Hf3+", 0.4319221249], + ["Hf3+", "Zn2+", 0.4319221249], + ["Zn2+", "Hf2+", 0.0880737852], + ["Hf2+", "Zn2+", 0.0880737852], + ["Zn2+", "Hf4+", 0.4319929138], + ["Hf4+", "Zn2+", 0.4319929138], + ["Zn2+", "Ta5+", 0.3361546006], + ["Ta5+", "Zn2+", 0.3361546006], + ["Zn2+", "Ta3+", 0.1105277736], + ["Ta3+", "Zn2+", 0.1105277736], + ["Zn2+", "Ta4+", 0.2967198665], + ["Ta4+", "Zn2+", 0.2967198665], + ["Zn2+", "Ta2+", 0.1463767141], + ["Ta2+", "Zn2+", 0.1463767141], + ["Zn2+", "W6+", 0.3721760609], + ["W6+", "Zn2+", 0.3721760609], + ["Zn2+", "W4+", 0.3559457633], + ["W4+", "Zn2+", 0.3559457633], + ["Zn2+", "W2+", 0.3270025418], + ["W2+", "Zn2+", 0.3270025418], + ["Zn2+", "W3+", 0.369168257], + ["W3+", "Zn2+", 0.369168257], + ["Zn2+", "W5+", 0.1944151381], + ["W5+", "Zn2+", 0.1944151381], + ["Zn2+", "Re5+", 0.2710653363], + ["Re5+", "Zn2+", 0.2710653363], + ["Zn2+", "Re3+", 0.2212567887], + ["Re3+", "Zn2+", 0.2212567887], + ["Zn2+", "Re6+", 0.1267406612], + ["Re6+", "Zn2+", 0.1267406612], + ["Zn2+", "Re2+", 0.0795096256], + ["Re2+", "Zn2+", 0.0795096256], + ["Zn2+", "Re4+", 0.2984009489], + ["Re4+", "Zn2+", 0.2984009489], + ["Zn2+", "Re7+", 0.3329583558], + ["Re7+", "Zn2+", 0.3329583558], + ["Zn2+", "Os7+", 0.0839306787], + ["Os7+", "Zn2+", 0.0839306787], + ["Zn2+", "Os6+", -0.0355478944], + ["Os6+", "Zn2+", -0.0355478944], + ["Zn2+", "Os5+", 0.3947326038], + ["Os5+", "Zn2+", 0.3947326038], + ["Zn2+", "Os2-", -0.0050095057], + ["Os2-", "Zn2+", -0.0050095057], + ["Zn2+", "Os3+", 0.1312168904], + ["Os3+", "Zn2+", 0.1312168904], + ["Zn2+", "Os4+", 0.3048522328], + ["Os4+", "Zn2+", 0.3048522328], + ["Zn2+", "Os8+", 0.1151797861], + ["Os8+", "Zn2+", 0.1151797861], + ["Zn2+", "Os2+", 0.1935238], + ["Os2+", "Zn2+", 0.1935238], + ["Zn2+", "Ir3+", 0.2128579189], + ["Ir3+", "Zn2+", 0.2128579189], + ["Zn2+", "Ir4+", 0.2812515122], + ["Ir4+", "Zn2+", 0.2812515122], + ["Zn2+", "Ir5+", 0.3826098171], + ["Ir5+", "Zn2+", 0.3826098171], + ["Zn2+", "Ir6+", 0.0569640488], + ["Ir6+", "Zn2+", 0.0569640488], + ["Zn2+", "Pt2+", 0.3427952882], + ["Pt2+", "Zn2+", 0.3427952882], + ["Zn2+", "Pt2-", 0.0028561172], + ["Pt2-", "Zn2+", 0.0028561172], + ["Zn2+", "Pt4+", 0.2726085637], + ["Pt4+", "Zn2+", 0.2726085637], + ["Zn2+", "Pt3+", 0.2732398959], + ["Pt3+", "Zn2+", 0.2732398959], + ["Zn2+", "Pt5+", 0.3053397182], + ["Pt5+", "Zn2+", 0.3053397182], + ["Zn2+", "Pt6+", 0.1052730398], + ["Pt6+", "Zn2+", 0.1052730398], + ["Zn2+", "Au2+", 0.0321654014], + ["Au2+", "Zn2+", 0.0321654014], + ["Zn2+", "Au3+", 0.2644749369], + ["Au3+", "Zn2+", 0.2644749369], + ["Zn2+", "Au5+", 0.1247750295], + ["Au5+", "Zn2+", 0.1247750295], + ["Zn2+", "Au4+", 0.0502803774], + ["Au4+", "Zn2+", 0.0502803774], + ["Zn2+", "Hg2+", 0.4849385179], + ["Hg2+", "Zn2+", 0.4849385179], + ["Zn2+", "Tl3+", 0.324302274], + ["Tl3+", "Zn2+", 0.324302274], + ["Zn2+", "Tl2+", 0.3480025923], + ["Tl2+", "Zn2+", 0.3480025923], + ["Zn2+", "Pb2+", 0.5281193207], + ["Pb2+", "Zn2+", 0.5281193207], + ["Zn2+", "Pb3+", 0.1877205005], + ["Pb3+", "Zn2+", 0.1877205005], + ["Zn2+", "Pb4+", 0.0059530244], + ["Pb4+", "Zn2+", 0.0059530244], + ["Zn2+", "Bi3+", 0.5572254722], + ["Bi3+", "Zn2+", 0.5572254722], + ["Zn2+", "Bi5+", 0.2047142645], + ["Bi5+", "Zn2+", 0.2047142645], + ["Zn2+", "Bi2+", 0.2945020739], + ["Bi2+", "Zn2+", 0.2945020739], + ["Zn2+", "Bi3-", 0.2566686713], + ["Bi3-", "Zn2+", 0.2566686713], + ["Zn2+", "Bi4+", 0.2501790411], + ["Bi4+", "Zn2+", 0.2501790411], + ["Zn2+", "Ac3+", 0.4062589286], + ["Ac3+", "Zn2+", 0.4062589286], + ["Zn2+", "Th4+", 0.112055052], + ["Th4+", "Zn2+", 0.112055052], + ["Zn2+", "Th3+", 0.2468781074], + ["Th3+", "Zn2+", 0.2468781074], + ["Zn2+", "Pa4+", 0.1457135256], + ["Pa4+", "Zn2+", 0.1457135256], + ["Zn2+", "Pa5+", 0.1913661515], + ["Pa5+", "Zn2+", 0.1913661515], + ["Zn2+", "Pa3+", 0.2581819279], + ["Pa3+", "Zn2+", 0.2581819279], + ["Zn2+", "U6+", 0.2178273889], + ["U6+", "Zn2+", 0.2178273889], + ["Zn2+", "U4+", 0.1097226579], + ["U4+", "Zn2+", 0.1097226579], + ["Zn2+", "U3+", 0.214973911], + ["U3+", "Zn2+", 0.214973911], + ["Zn2+", "U2+", 0.2197392217], + ["U2+", "Zn2+", 0.2197392217], + ["Zn2+", "U5+", 0.0386368995], + ["U5+", "Zn2+", 0.0386368995], + ["Zn2+", "Np6+", 0.158406928], + ["Np6+", "Zn2+", 0.158406928], + ["Zn2+", "Np4+", 0.178022854], + ["Np4+", "Zn2+", 0.178022854], + ["Zn2+", "Np3+", 0.2271622046], + ["Np3+", "Zn2+", 0.2271622046], + ["Zn2+", "Np7+", 0.2219272743], + ["Np7+", "Zn2+", 0.2219272743], + ["Zn2+", "Np5+", 0.4231509721], + ["Np5+", "Zn2+", 0.4231509721], + ["Zn2+", "Pu7+", 0.258148983], + ["Pu7+", "Zn2+", 0.258148983], + ["Zn2+", "Pu6+", 0.1670152386], + ["Pu6+", "Zn2+", 0.1670152386], + ["Zn2+", "Pu3+", 0.2163778613], + ["Pu3+", "Zn2+", 0.2163778613], + ["Zn2+", "Pu4+", 0.0944463251], + ["Pu4+", "Zn2+", 0.0944463251], + ["Zn2+", "Pu5+", 0.2422491522], + ["Pu5+", "Zn2+", 0.2422491522], + ["Zn2+", "H1+", 0.0763699919], + ["H1+", "Zn2+", 0.0763699919], + ["Zn2+", "H1-", 0.1349558185], + ["H1-", "Zn2+", 0.1349558185], + ["Zn2+", "Li1+", 0.6337819046], + ["Li1+", "Zn2+", 0.6337819046], + ["Zn2+", "B1+", 0.0502085666], + ["B1+", "Zn2+", 0.0502085666], + ["Zn2+", "B1-", -0.1906213142], + ["B1-", "Zn2+", -0.1906213142], + ["Zn2+", "C1-", 0.0998807323], + ["C1-", "Zn2+", 0.0998807323], + ["Zn2+", "C1+", 0.2443155025], + ["C1+", "Zn2+", 0.2443155025], + ["Zn2+", "N1-", 0.0599670548], + ["N1-", "Zn2+", 0.0599670548], + ["Zn2+", "N1+", 0.2415883749], + ["N1+", "Zn2+", 0.2415883749], + ["Zn2+", "O1-", 0.1879195937], + ["O1-", "Zn2+", 0.1879195937], + ["Zn2+", "F1-", 0.1130575771], + ["F1-", "Zn2+", 0.1130575771], + ["Zn2+", "Na1+", 0.5491331864], + ["Na1+", "Zn2+", 0.5491331864], + ["Zn2+", "Si1-", 0.0200250763], + ["Si1-", "Zn2+", 0.0200250763], + ["Zn2+", "P1+", 0.1681496744], + ["P1+", "Zn2+", 0.1681496744], + ["Zn2+", "P1-", 0.0772227667], + ["P1-", "Zn2+", 0.0772227667], + ["Zn2+", "S1-", 0.0787846091], + ["S1-", "Zn2+", 0.0787846091], + ["Zn2+", "S1+", 0.127761689], + ["S1+", "Zn2+", 0.127761689], + ["Zn2+", "Cl1-", 0.1086385643], + ["Cl1-", "Zn2+", 0.1086385643], + ["Zn2+", "K1+", 0.4908269558], + ["K1+", "Zn2+", 0.4908269558], + ["Zn2+", "Sc1+", 0.1350140712], + ["Sc1+", "Zn2+", 0.1350140712], + ["Zn2+", "Mn1+", 0.4797089624], + ["Mn1+", "Zn2+", 0.4797089624], + ["Zn2+", "Fe1+", 0.2783854206], + ["Fe1+", "Zn2+", 0.2783854206], + ["Zn2+", "Co1+", 0.3196379915], + ["Co1+", "Zn2+", 0.3196379915], + ["Zn2+", "Ni1+", 0.3402813462], + ["Ni1+", "Zn2+", 0.3402813462], + ["Zn2+", "Cu1+", 0.6099581436], + ["Cu1+", "Zn2+", 0.6099581436], + ["Zn2+", "Ga1+", 0.1930691194], + ["Ga1+", "Zn2+", 0.1930691194], + ["Zn2+", "As1-", 0.0763242719], + ["As1-", "Zn2+", 0.0763242719], + ["Zn2+", "As1+", 0.3513382428], + ["As1+", "Zn2+", 0.3513382428], + ["Zn2+", "Se1-", -0.043334434], + ["Se1-", "Zn2+", -0.043334434], + ["Zn2+", "Se1+", 0.3180186192], + ["Se1+", "Zn2+", 0.3180186192], + ["Zn2+", "Br1-", 0.1376283591], + ["Br1-", "Zn2+", 0.1376283591], + ["Zn2+", "Br1+", 0.0384137933], + ["Br1+", "Zn2+", 0.0384137933], + ["Zn2+", "Rb1+", 0.4185413948], + ["Rb1+", "Zn2+", 0.4185413948], + ["Zn2+", "Y1+", 0.1160845941], + ["Y1+", "Zn2+", 0.1160845941], + ["Zn2+", "Zr1+", 0.2016210415], + ["Zr1+", "Zn2+", 0.2016210415], + ["Zn2+", "Nb1+", 0.3022457359], + ["Nb1+", "Zn2+", 0.3022457359], + ["Zn2+", "Tc1-", 0.04801932], + ["Tc1-", "Zn2+", 0.04801932], + ["Zn2+", "Tc1+", 0.5454163881], + ["Tc1+", "Zn2+", 0.5454163881], + ["Zn2+", "Rh1+", 0.2636235585], + ["Rh1+", "Zn2+", 0.2636235585], + ["Zn2+", "Ag1+", 0.6055282709], + ["Ag1+", "Zn2+", 0.6055282709], + ["Zn2+", "In1+", 0.2092603497], + ["In1+", "Zn2+", 0.2092603497], + ["Zn2+", "Sb1-", -0.0063505719], + ["Sb1-", "Zn2+", -0.0063505719], + ["Zn2+", "Sb1+", 0.0761590831], + ["Sb1+", "Zn2+", 0.0761590831], + ["Zn2+", "Te1-", -0.1725698308], + ["Te1-", "Zn2+", -0.1725698308], + ["Zn2+", "Te1+", 0.2678320461], + ["Te1+", "Zn2+", 0.2678320461], + ["Zn2+", "I1-", 0.0291719914], + ["I1-", "Zn2+", 0.0291719914], + ["Zn2+", "I1+", 0.0140767593], + ["I1+", "Zn2+", 0.0140767593], + ["Zn2+", "Cs1+", 0.3953740991], + ["Cs1+", "Zn2+", 0.3953740991], + ["Zn2+", "La1+", -0.0329930685], + ["La1+", "Zn2+", -0.0329930685], + ["Zn2+", "Tb1+", 0.084096457], + ["Tb1+", "Zn2+", 0.084096457], + ["Zn2+", "Ta1+", 0.3091839623], + ["Ta1+", "Zn2+", 0.3091839623], + ["Zn2+", "Os1-", -0.0303718527], + ["Os1-", "Zn2+", -0.0303718527], + ["Zn2+", "Os1+", -0.1248348124], + ["Os1+", "Zn2+", -0.1248348124], + ["Zn2+", "Pt1-", 0.0998354865], + ["Pt1-", "Zn2+", 0.0998354865], + ["Zn2+", "Pt1+", 0.0449358668], + ["Pt1+", "Zn2+", 0.0449358668], + ["Zn2+", "Au1-", -0.1760326043], + ["Au1-", "Zn2+", -0.1760326043], + ["Zn2+", "Au1+", 0.194579261], + ["Au1+", "Zn2+", 0.194579261], + ["Zn2+", "Hg1+", 0.2742468623], + ["Hg1+", "Zn2+", 0.2742468623], + ["Zn2+", "Tl1+", 0.3849203092], + ["Tl1+", "Zn2+", 0.3849203092], + ["Zn2+", "Bi1+", 0.0748309031], + ["Bi1+", "Zn2+", 0.0748309031], + ["Ga3+", "Ga3+", 1.0], + ["Ga3+", "Ga4+", 0.2618931484], + ["Ga4+", "Ga3+", 0.2618931484], + ["Ga3+", "Ga2+", 0.4834846294], + ["Ga2+", "Ga3+", 0.4834846294], + ["Ga3+", "Ge4-", -0.1243668673], + ["Ge4-", "Ga3+", -0.1243668673], + ["Ga3+", "Ge4+", 0.6493129424], + ["Ge4+", "Ga3+", 0.6493129424], + ["Ga3+", "Ge2-", -0.0508691166], + ["Ge2-", "Ga3+", -0.0508691166], + ["Ga3+", "Ge2+", 0.3459596595], + ["Ge2+", "Ga3+", 0.3459596595], + ["Ga3+", "Ge3+", 0.4459946877], + ["Ge3+", "Ga3+", 0.4459946877], + ["Ga3+", "As2-", 0.1355211529], + ["As2-", "Ga3+", 0.1355211529], + ["Ga3+", "As3+", 0.3702708014], + ["As3+", "Ga3+", 0.3702708014], + ["Ga3+", "As5+", 0.1663319544], + ["As5+", "Ga3+", 0.1663319544], + ["Ga3+", "As3-", 0.0999373946], + ["As3-", "Ga3+", 0.0999373946], + ["Ga3+", "As2+", 0.4035180711], + ["As2+", "Ga3+", 0.4035180711], + ["Ga3+", "As4+", 0.2179639824], + ["As4+", "Ga3+", 0.2179639824], + ["Ga3+", "Se2-", 0.0220658947], + ["Se2-", "Ga3+", 0.0220658947], + ["Ga3+", "Se4+", 0.2953631414], + ["Se4+", "Ga3+", 0.2953631414], + ["Ga3+", "Se6+", 0.1865823391], + ["Se6+", "Ga3+", 0.1865823391], + ["Ga3+", "Se5+", 0.1897106226], + ["Se5+", "Ga3+", 0.1897106226], + ["Ga3+", "Se2+", 0.2751326479], + ["Se2+", "Ga3+", 0.2751326479], + ["Ga3+", "Se3+", 0.1628566736], + ["Se3+", "Ga3+", 0.1628566736], + ["Ga3+", "Br2+", 0.4087967148], + ["Br2+", "Ga3+", 0.4087967148], + ["Ga3+", "Br5+", 0.2129347843], + ["Br5+", "Ga3+", 0.2129347843], + ["Ga3+", "Br3+", 0.0500902973], + ["Br3+", "Ga3+", 0.0500902973], + ["Ga3+", "Sr2+", 0.6540055356], + ["Sr2+", "Ga3+", 0.6540055356], + ["Ga3+", "Y3+", 0.4392392349], + ["Y3+", "Ga3+", 0.4392392349], + ["Ga3+", "Y2+", 0.0670450883], + ["Y2+", "Ga3+", 0.0670450883], + ["Ga3+", "Zr2+", 0.204117887], + ["Zr2+", "Ga3+", 0.204117887], + ["Ga3+", "Zr4+", 0.3625526889], + ["Zr4+", "Ga3+", 0.3625526889], + ["Ga3+", "Zr3+", 0.3204601751], + ["Zr3+", "Ga3+", 0.3204601751], + ["Ga3+", "Nb5+", 0.369974091], + ["Nb5+", "Ga3+", 0.369974091], + ["Ga3+", "Nb3+", 0.4645955141], + ["Nb3+", "Ga3+", 0.4645955141], + ["Ga3+", "Nb4+", 0.4288423031], + ["Nb4+", "Ga3+", 0.4288423031], + ["Ga3+", "Nb2+", 0.4019248029], + ["Nb2+", "Ga3+", 0.4019248029], + ["Ga3+", "Nb7+", 0.2090761746], + ["Nb7+", "Ga3+", 0.2090761746], + ["Ga3+", "Mo3+", 0.4712696603], + ["Mo3+", "Ga3+", 0.4712696603], + ["Ga3+", "Mo4+", 0.4141347271], + ["Mo4+", "Ga3+", 0.4141347271], + ["Ga3+", "Mo6+", 0.5021000107], + ["Mo6+", "Ga3+", 0.5021000107], + ["Ga3+", "Mo5+", 0.237968703], + ["Mo5+", "Ga3+", 0.237968703], + ["Ga3+", "Mo2+", 0.3878933402], + ["Mo2+", "Ga3+", 0.3878933402], + ["Ga3+", "Tc4+", 0.1013010335], + ["Tc4+", "Ga3+", 0.1013010335], + ["Ga3+", "Tc3-", 0.0632319457], + ["Tc3-", "Ga3+", 0.0632319457], + ["Ga3+", "Tc3+", 0.4436608977], + ["Tc3+", "Ga3+", 0.4436608977], + ["Ga3+", "Tc7+", 0.2051706885], + ["Tc7+", "Ga3+", 0.2051706885], + ["Ga3+", "Tc5+", 0.3790227999], + ["Tc5+", "Ga3+", 0.3790227999], + ["Ga3+", "Tc6+", 0.100845375], + ["Tc6+", "Ga3+", 0.100845375], + ["Ga3+", "Tc2-", -0.0134368821], + ["Tc2-", "Ga3+", -0.0134368821], + ["Ga3+", "Tc2+", 0.1860425631], + ["Tc2+", "Ga3+", 0.1860425631], + ["Ga3+", "Ru2+", 0.229830308], + ["Ru2+", "Ga3+", 0.229830308], + ["Ga3+", "Ru6+", 0.2626131761], + ["Ru6+", "Ga3+", 0.2626131761], + ["Ga3+", "Ru4+", 0.4211701607], + ["Ru4+", "Ga3+", 0.4211701607], + ["Ga3+", "Ru5+", 0.4927453222], + ["Ru5+", "Ga3+", 0.4927453222], + ["Ga3+", "Ru3+", 0.313695726], + ["Ru3+", "Ga3+", 0.313695726], + ["Ga3+", "Rh4+", 0.3744741685], + ["Rh4+", "Ga3+", 0.3744741685], + ["Ga3+", "Rh3+", 0.3631644549], + ["Rh3+", "Ga3+", 0.3631644549], + ["Ga3+", "Pd2+", 0.3197075296], + ["Pd2+", "Ga3+", 0.3197075296], + ["Ga3+", "Pd4+", 0.2063185076], + ["Pd4+", "Ga3+", 0.2063185076], + ["Ga3+", "Pd3+", 0.1993764188], + ["Pd3+", "Ga3+", 0.1993764188], + ["Ga3+", "Ag3+", 0.1648876627], + ["Ag3+", "Ga3+", 0.1648876627], + ["Ga3+", "Ag2+", 0.2739969494], + ["Ag2+", "Ga3+", 0.2739969494], + ["Ga3+", "Cd2+", 0.6681130954], + ["Cd2+", "Ga3+", 0.6681130954], + ["Ga3+", "In3+", 0.7515908589], + ["In3+", "Ga3+", 0.7515908589], + ["Ga3+", "In2+", 0.5035173384], + ["In2+", "Ga3+", 0.5035173384], + ["Ga3+", "Sn4+", 0.6378311482], + ["Sn4+", "Ga3+", 0.6378311482], + ["Ga3+", "Sn3+", 0.382225418], + ["Sn3+", "Ga3+", 0.382225418], + ["Ga3+", "Sn2+", 0.5335162279], + ["Sn2+", "Ga3+", 0.5335162279], + ["Ga3+", "Sb5+", 0.3650346729], + ["Sb5+", "Ga3+", 0.3650346729], + ["Ga3+", "Sb2-", -0.1200432798], + ["Sb2-", "Ga3+", -0.1200432798], + ["Ga3+", "Sb3-", -0.0028814981], + ["Sb3-", "Ga3+", -0.0028814981], + ["Ga3+", "Sb3+", 0.5600015267], + ["Sb3+", "Ga3+", 0.5600015267], + ["Ga3+", "Sb4+", 0.198454298], + ["Sb4+", "Ga3+", 0.198454298], + ["Ga3+", "Te2-", 0.1387830992], + ["Te2-", "Ga3+", 0.1387830992], + ["Ga3+", "Te4+", 0.4195418447], + ["Te4+", "Ga3+", 0.4195418447], + ["Ga3+", "Te6+", 0.2212476579], + ["Te6+", "Ga3+", 0.2212476579], + ["Ga3+", "Te2+", 0.2301432807], + ["Te2+", "Ga3+", 0.2301432807], + ["Ga3+", "Te5+", 0.4028603331], + ["Te5+", "Ga3+", 0.4028603331], + ["Ga3+", "I3+", 0.1225551491], + ["I3+", "Ga3+", 0.1225551491], + ["Ga3+", "I7+", 0.1703460873], + ["I7+", "Ga3+", 0.1703460873], + ["Ga3+", "I5+", 0.1662199599], + ["I5+", "Ga3+", 0.1662199599], + ["Ga3+", "I2+", 0.1445898397], + ["I2+", "Ga3+", 0.1445898397], + ["Ga3+", "Ba2+", 0.7175295801], + ["Ba2+", "Ga3+", 0.7175295801], + ["Ga3+", "La3+", 0.5534063797], + ["La3+", "Ga3+", 0.5534063797], + ["Ga3+", "La2+", 0.2422748562], + ["La2+", "Ga3+", 0.2422748562], + ["Ga3+", "Ce3+", 0.5202424228], + ["Ce3+", "Ga3+", 0.5202424228], + ["Ga3+", "Ce2+", 0.3177996951], + ["Ce2+", "Ga3+", 0.3177996951], + ["Ga3+", "Ce4+", 0.3627287005], + ["Ce4+", "Ga3+", 0.3627287005], + ["Ga3+", "Pr3+", 0.4988539857], + ["Pr3+", "Ga3+", 0.4988539857], + ["Ga3+", "Pr4+", 0.2482685231], + ["Pr4+", "Ga3+", 0.2482685231], + ["Ga3+", "Pr2+", 0.2752012155], + ["Pr2+", "Ga3+", 0.2752012155], + ["Ga3+", "Nd3+", 0.5386319946], + ["Nd3+", "Ga3+", 0.5386319946], + ["Ga3+", "Nd2+", 0.0960882484], + ["Nd2+", "Ga3+", 0.0960882484], + ["Ga3+", "Pm3+", 0.4325501185], + ["Pm3+", "Ga3+", 0.4325501185], + ["Ga3+", "Sm3+", 0.5525500494], + ["Sm3+", "Ga3+", 0.5525500494], + ["Ga3+", "Sm2+", 0.148104151], + ["Sm2+", "Ga3+", 0.148104151], + ["Ga3+", "Eu2+", 0.5106840955], + ["Eu2+", "Ga3+", 0.5106840955], + ["Ga3+", "Eu3+", 0.3497097645], + ["Eu3+", "Ga3+", 0.3497097645], + ["Ga3+", "Gd2+", 0.190583623], + ["Gd2+", "Ga3+", 0.190583623], + ["Ga3+", "Gd3+", 0.433094431], + ["Gd3+", "Ga3+", 0.433094431], + ["Ga3+", "Tb3+", 0.4725935528], + ["Tb3+", "Ga3+", 0.4725935528], + ["Ga3+", "Tb2+", 0.1316924141], + ["Tb2+", "Ga3+", 0.1316924141], + ["Ga3+", "Tb4+", 0.1565299975], + ["Tb4+", "Ga3+", 0.1565299975], + ["Ga3+", "Dy3+", 0.3687205672], + ["Dy3+", "Ga3+", 0.3687205672], + ["Ga3+", "Dy2+", 0.0617014722], + ["Dy2+", "Ga3+", 0.0617014722], + ["Ga3+", "Ho3+", 0.4211427162], + ["Ho3+", "Ga3+", 0.4211427162], + ["Ga3+", "Ho2+", 0.2093792693], + ["Ho2+", "Ga3+", 0.2093792693], + ["Ga3+", "Er3+", 0.3639833314], + ["Er3+", "Ga3+", 0.3639833314], + ["Ga3+", "Tm3+", 0.3659580266], + ["Tm3+", "Ga3+", 0.3659580266], + ["Ga3+", "Tm2+", 0.2090838823], + ["Tm2+", "Ga3+", 0.2090838823], + ["Ga3+", "Yb3+", 0.3201290455], + ["Yb3+", "Ga3+", 0.3201290455], + ["Ga3+", "Yb2+", 0.3320110024], + ["Yb2+", "Ga3+", 0.3320110024], + ["Ga3+", "Lu3+", 0.2150232672], + ["Lu3+", "Ga3+", 0.2150232672], + ["Ga3+", "Hf3+", 0.5212787788], + ["Hf3+", "Ga3+", 0.5212787788], + ["Ga3+", "Hf2+", 0.1260313008], + ["Hf2+", "Ga3+", 0.1260313008], + ["Ga3+", "Hf4+", 0.3916525916], + ["Hf4+", "Ga3+", 0.3916525916], + ["Ga3+", "Ta5+", 0.4860447541], + ["Ta5+", "Ga3+", 0.4860447541], + ["Ga3+", "Ta3+", 0.3440798975], + ["Ta3+", "Ga3+", 0.3440798975], + ["Ga3+", "Ta4+", 0.4501068866], + ["Ta4+", "Ga3+", 0.4501068866], + ["Ga3+", "Ta2+", 0.2479914126], + ["Ta2+", "Ga3+", 0.2479914126], + ["Ga3+", "W6+", 0.3658984623], + ["W6+", "Ga3+", 0.3658984623], + ["Ga3+", "W4+", 0.4371680825], + ["W4+", "Ga3+", 0.4371680825], + ["Ga3+", "W2+", 0.4155090914], + ["W2+", "Ga3+", 0.4155090914], + ["Ga3+", "W3+", 0.3953025641], + ["W3+", "Ga3+", 0.3953025641], + ["Ga3+", "W5+", 0.4257010039], + ["W5+", "Ga3+", 0.4257010039], + ["Ga3+", "Re5+", 0.4429130381], + ["Re5+", "Ga3+", 0.4429130381], + ["Ga3+", "Re3+", 0.3654396903], + ["Re3+", "Ga3+", 0.3654396903], + ["Ga3+", "Re6+", 0.2973499045], + ["Re6+", "Ga3+", 0.2973499045], + ["Ga3+", "Re2+", 0.109643657], + ["Re2+", "Ga3+", 0.109643657], + ["Ga3+", "Re4+", 0.4349007001], + ["Re4+", "Ga3+", 0.4349007001], + ["Ga3+", "Re7+", 0.390319842], + ["Re7+", "Ga3+", 0.390319842], + ["Ga3+", "Os7+", 0.1555620707], + ["Os7+", "Ga3+", 0.1555620707], + ["Ga3+", "Os6+", 0.1431721403], + ["Os6+", "Ga3+", 0.1431721403], + ["Ga3+", "Os5+", 0.5017137357], + ["Os5+", "Ga3+", 0.5017137357], + ["Ga3+", "Os2-", 0.0185285705], + ["Os2-", "Ga3+", 0.0185285705], + ["Ga3+", "Os3+", 0.3210168717], + ["Os3+", "Ga3+", 0.3210168717], + ["Ga3+", "Os4+", 0.3974657929], + ["Os4+", "Ga3+", 0.3974657929], + ["Ga3+", "Os8+", 0.1635570442], + ["Os8+", "Ga3+", 0.1635570442], + ["Ga3+", "Os2+", 0.1809816729], + ["Os2+", "Ga3+", 0.1809816729], + ["Ga3+", "Ir3+", 0.2659218056], + ["Ir3+", "Ga3+", 0.2659218056], + ["Ga3+", "Ir4+", 0.4467468647], + ["Ir4+", "Ga3+", 0.4467468647], + ["Ga3+", "Ir5+", 0.5322886812], + ["Ir5+", "Ga3+", 0.5322886812], + ["Ga3+", "Ir6+", 0.2400843851], + ["Ir6+", "Ga3+", 0.2400843851], + ["Ga3+", "Pt2+", 0.2777161807], + ["Pt2+", "Ga3+", 0.2777161807], + ["Ga3+", "Pt2-", 0.0324072785], + ["Pt2-", "Ga3+", 0.0324072785], + ["Ga3+", "Pt4+", 0.4408331368], + ["Pt4+", "Ga3+", 0.4408331368], + ["Ga3+", "Pt3+", 0.2226138372], + ["Pt3+", "Ga3+", 0.2226138372], + ["Ga3+", "Pt5+", 0.3558832712], + ["Pt5+", "Ga3+", 0.3558832712], + ["Ga3+", "Pt6+", 0.1516544293], + ["Pt6+", "Ga3+", 0.1516544293], + ["Ga3+", "Au2+", 0.1849647951], + ["Au2+", "Ga3+", 0.1849647951], + ["Ga3+", "Au3+", 0.3956991618], + ["Au3+", "Ga3+", 0.3956991618], + ["Ga3+", "Au5+", 0.2240684691], + ["Au5+", "Ga3+", 0.2240684691], + ["Ga3+", "Au4+", 0.1278374098], + ["Au4+", "Ga3+", 0.1278374098], + ["Ga3+", "Hg2+", 0.4378154924], + ["Hg2+", "Ga3+", 0.4378154924], + ["Ga3+", "Tl3+", 0.3405262961], + ["Tl3+", "Ga3+", 0.3405262961], + ["Ga3+", "Tl2+", 0.4926778672], + ["Tl2+", "Ga3+", 0.4926778672], + ["Ga3+", "Pb2+", 0.5638428532], + ["Pb2+", "Ga3+", 0.5638428532], + ["Ga3+", "Pb3+", 0.2470285337], + ["Pb3+", "Ga3+", 0.2470285337], + ["Ga3+", "Pb4+", 0.2842173577], + ["Pb4+", "Ga3+", 0.2842173577], + ["Ga3+", "Bi3+", 0.6555340944], + ["Bi3+", "Ga3+", 0.6555340944], + ["Ga3+", "Bi5+", 0.281933659], + ["Bi5+", "Ga3+", 0.281933659], + ["Ga3+", "Bi2+", 0.3001372533], + ["Bi2+", "Ga3+", 0.3001372533], + ["Ga3+", "Bi3-", 0.0641122959], + ["Bi3-", "Ga3+", 0.0641122959], + ["Ga3+", "Bi4+", 0.1634549778], + ["Bi4+", "Ga3+", 0.1634549778], + ["Ga3+", "Ac3+", 0.367641041], + ["Ac3+", "Ga3+", 0.367641041], + ["Ga3+", "Th4+", 0.2885851269], + ["Th4+", "Ga3+", 0.2885851269], + ["Ga3+", "Th3+", 0.375232285], + ["Th3+", "Ga3+", 0.375232285], + ["Ga3+", "Pa4+", 0.3659434043], + ["Pa4+", "Ga3+", 0.3659434043], + ["Ga3+", "Pa5+", 0.2850361747], + ["Pa5+", "Ga3+", 0.2850361747], + ["Ga3+", "Pa3+", 0.303485039], + ["Pa3+", "Ga3+", 0.303485039], + ["Ga3+", "U6+", 0.2892816957], + ["U6+", "Ga3+", 0.2892816957], + ["Ga3+", "U4+", 0.3475748555], + ["U4+", "Ga3+", 0.3475748555], + ["Ga3+", "U3+", 0.3005201932], + ["U3+", "Ga3+", 0.3005201932], + ["Ga3+", "U2+", 0.4288792691], + ["U2+", "Ga3+", 0.4288792691], + ["Ga3+", "U5+", 0.157403968], + ["U5+", "Ga3+", 0.157403968], + ["Ga3+", "Np6+", 0.2929966233], + ["Np6+", "Ga3+", 0.2929966233], + ["Ga3+", "Np4+", 0.1531188911], + ["Np4+", "Ga3+", 0.1531188911], + ["Ga3+", "Np3+", 0.4370895608], + ["Np3+", "Ga3+", 0.4370895608], + ["Ga3+", "Np7+", 0.3112926359], + ["Np7+", "Ga3+", 0.3112926359], + ["Ga3+", "Np5+", 0.5504762379], + ["Np5+", "Ga3+", 0.5504762379], + ["Ga3+", "Pu7+", 0.2575008622], + ["Pu7+", "Ga3+", 0.2575008622], + ["Ga3+", "Pu6+", 0.2099794013], + ["Pu6+", "Ga3+", 0.2099794013], + ["Ga3+", "Pu3+", 0.3658600113], + ["Pu3+", "Ga3+", 0.3658600113], + ["Ga3+", "Pu4+", 0.1695766403], + ["Pu4+", "Ga3+", 0.1695766403], + ["Ga3+", "Pu5+", 0.380207872], + ["Pu5+", "Ga3+", 0.380207872], + ["Ga3+", "H1+", 0.0860062656], + ["H1+", "Ga3+", 0.0860062656], + ["Ga3+", "H1-", 0.0942089418], + ["H1-", "Ga3+", 0.0942089418], + ["Ga3+", "Li1+", 0.4812281079], + ["Li1+", "Ga3+", 0.4812281079], + ["Ga3+", "B1+", 0.1229973945], + ["B1+", "Ga3+", 0.1229973945], + ["Ga3+", "B1-", -0.2963013491], + ["B1-", "Ga3+", -0.2963013491], + ["Ga3+", "C1-", 0.1884948174], + ["C1-", "Ga3+", 0.1884948174], + ["Ga3+", "C1+", 0.261784255], + ["C1+", "Ga3+", 0.261784255], + ["Ga3+", "N1-", 0.1121600081], + ["N1-", "Ga3+", 0.1121600081], + ["Ga3+", "N1+", 0.1158484476], + ["N1+", "Ga3+", 0.1158484476], + ["Ga3+", "O1-", 0.0461343411], + ["O1-", "Ga3+", 0.0461343411], + ["Ga3+", "F1-", 0.0008531568], + ["F1-", "Ga3+", 0.0008531568], + ["Ga3+", "Na1+", 0.6189991675], + ["Na1+", "Ga3+", 0.6189991675], + ["Ga3+", "Si1-", 0.0233574941], + ["Si1-", "Ga3+", 0.0233574941], + ["Ga3+", "P1+", 0.1689944797], + ["P1+", "Ga3+", 0.1689944797], + ["Ga3+", "P1-", -0.1246408572], + ["P1-", "Ga3+", -0.1246408572], + ["Ga3+", "S1-", 0.0641480829], + ["S1-", "Ga3+", 0.0641480829], + ["Ga3+", "S1+", 0.1999940328], + ["S1+", "Ga3+", 0.1999940328], + ["Ga3+", "Cl1-", 0.095285327], + ["Cl1-", "Ga3+", 0.095285327], + ["Ga3+", "K1+", 0.6592883998], + ["K1+", "Ga3+", 0.6592883998], + ["Ga3+", "Sc1+", 0.185680816], + ["Sc1+", "Ga3+", 0.185680816], + ["Ga3+", "Mn1+", 0.2606867793], + ["Mn1+", "Ga3+", 0.2606867793], + ["Ga3+", "Fe1+", 0.2264305293], + ["Fe1+", "Ga3+", 0.2264305293], + ["Ga3+", "Co1+", 0.2557454408], + ["Co1+", "Ga3+", 0.2557454408], + ["Ga3+", "Ni1+", 0.348413426], + ["Ni1+", "Ga3+", 0.348413426], + ["Ga3+", "Cu1+", 0.5618401611], + ["Cu1+", "Ga3+", 0.5618401611], + ["Ga3+", "Ga1+", 0.3110158737], + ["Ga1+", "Ga3+", 0.3110158737], + ["Ga3+", "As1-", -0.0109581131], + ["As1-", "Ga3+", -0.0109581131], + ["Ga3+", "As1+", 0.3321866994], + ["As1+", "Ga3+", 0.3321866994], + ["Ga3+", "Se1-", 0.1324886804], + ["Se1-", "Ga3+", 0.1324886804], + ["Ga3+", "Se1+", 0.2367947347], + ["Se1+", "Ga3+", 0.2367947347], + ["Ga3+", "Br1-", 0.0351051013], + ["Br1-", "Ga3+", 0.0351051013], + ["Ga3+", "Br1+", 0.1453753412], + ["Br1+", "Ga3+", 0.1453753412], + ["Ga3+", "Rb1+", 0.555422683], + ["Rb1+", "Ga3+", 0.555422683], + ["Ga3+", "Y1+", 0.1055011938], + ["Y1+", "Ga3+", 0.1055011938], + ["Ga3+", "Zr1+", 0.2687118107], + ["Zr1+", "Ga3+", 0.2687118107], + ["Ga3+", "Nb1+", 0.3854931441], + ["Nb1+", "Ga3+", 0.3854931441], + ["Ga3+", "Tc1-", 0.1491700555], + ["Tc1-", "Ga3+", 0.1491700555], + ["Ga3+", "Tc1+", 0.4450700218], + ["Tc1+", "Ga3+", 0.4450700218], + ["Ga3+", "Rh1+", 0.150911926], + ["Rh1+", "Ga3+", 0.150911926], + ["Ga3+", "Ag1+", 0.6060168163], + ["Ag1+", "Ga3+", 0.6060168163], + ["Ga3+", "In1+", 0.2803645444], + ["In1+", "Ga3+", 0.2803645444], + ["Ga3+", "Sb1-", -0.0254274329], + ["Sb1-", "Ga3+", -0.0254274329], + ["Ga3+", "Sb1+", 0.2358032548], + ["Sb1+", "Ga3+", 0.2358032548], + ["Ga3+", "Te1-", 0.025231129], + ["Te1-", "Ga3+", 0.025231129], + ["Ga3+", "Te1+", 0.2669605418], + ["Te1+", "Ga3+", 0.2669605418], + ["Ga3+", "I1-", 0.0070158], + ["I1-", "Ga3+", 0.0070158], + ["Ga3+", "I1+", 0.0891104672], + ["I1+", "Ga3+", 0.0891104672], + ["Ga3+", "Cs1+", 0.6067131714], + ["Cs1+", "Ga3+", 0.6067131714], + ["Ga3+", "La1+", 0.0043300571], + ["La1+", "Ga3+", 0.0043300571], + ["Ga3+", "Tb1+", 0.0497570496], + ["Tb1+", "Ga3+", 0.0497570496], + ["Ga3+", "Ta1+", 0.4068862602], + ["Ta1+", "Ga3+", 0.4068862602], + ["Ga3+", "Os1-", 0.1437044278], + ["Os1-", "Ga3+", 0.1437044278], + ["Ga3+", "Os1+", 0.0252232168], + ["Os1+", "Ga3+", 0.0252232168], + ["Ga3+", "Pt1-", 0.1598143231], + ["Pt1-", "Ga3+", 0.1598143231], + ["Ga3+", "Pt1+", 0.2259588618], + ["Pt1+", "Ga3+", 0.2259588618], + ["Ga3+", "Au1-", -0.1674987917], + ["Au1-", "Ga3+", -0.1674987917], + ["Ga3+", "Au1+", 0.3132242368], + ["Au1+", "Ga3+", 0.3132242368], + ["Ga3+", "Hg1+", 0.3015837566], + ["Hg1+", "Ga3+", 0.3015837566], + ["Ga3+", "Tl1+", 0.5869907001], + ["Tl1+", "Ga3+", 0.5869907001], + ["Ga3+", "Bi1+", 0.1976514154], + ["Bi1+", "Ga3+", 0.1976514154], + ["Ga4+", "Ga4+", 1.0], + ["Ga4+", "Ga2+", 0.0899515849], + ["Ga2+", "Ga4+", 0.0899515849], + ["Ga4+", "Ge4-", 0.1211007368], + ["Ge4-", "Ga4+", 0.1211007368], + ["Ga4+", "Ge4+", 0.2666699699], + ["Ge4+", "Ga4+", 0.2666699699], + ["Ga4+", "Ge2-", 0.136896561], + ["Ge2-", "Ga4+", 0.136896561], + ["Ga4+", "Ge2+", 0.1845691402], + ["Ge2+", "Ga4+", 0.1845691402], + ["Ga4+", "Ge3+", 0.0794863349], + ["Ge3+", "Ga4+", 0.0794863349], + ["Ga4+", "As2-", -0.0679875428], + ["As2-", "Ga4+", -0.0679875428], + ["Ga4+", "As3+", 0.1133345502], + ["As3+", "Ga4+", 0.1133345502], + ["Ga4+", "As5+", 0.215167228], + ["As5+", "Ga4+", 0.215167228], + ["Ga4+", "As3-", -0.0363262663], + ["As3-", "Ga4+", -0.0363262663], + ["Ga4+", "As2+", 0.2180996581], + ["As2+", "Ga4+", 0.2180996581], + ["Ga4+", "As4+", 0.197857748], + ["As4+", "Ga4+", 0.197857748], + ["Ga4+", "Se2-", 0.2617021851], + ["Se2-", "Ga4+", 0.2617021851], + ["Ga4+", "Se4+", 0.4569757485], + ["Se4+", "Ga4+", 0.4569757485], + ["Ga4+", "Se6+", 0.2950605124], + ["Se6+", "Ga4+", 0.2950605124], + ["Ga4+", "Se5+", 0.2927197105], + ["Se5+", "Ga4+", 0.2927197105], + ["Ga4+", "Se2+", 0.14822769], + ["Se2+", "Ga4+", 0.14822769], + ["Ga4+", "Se3+", 0.3347137463], + ["Se3+", "Ga4+", 0.3347137463], + ["Ga4+", "Br2+", 0.3734930361], + ["Br2+", "Ga4+", 0.3734930361], + ["Ga4+", "Br5+", 0.2626749435], + ["Br5+", "Ga4+", 0.2626749435], + ["Ga4+", "Br3+", 0.250693973], + ["Br3+", "Ga4+", 0.250693973], + ["Ga4+", "Sr2+", 0.2980034824], + ["Sr2+", "Ga4+", 0.2980034824], + ["Ga4+", "Y3+", 0.3359134423], + ["Y3+", "Ga4+", 0.3359134423], + ["Ga4+", "Y2+", 0.3324349487], + ["Y2+", "Ga4+", 0.3324349487], + ["Ga4+", "Zr2+", 0.0300001541], + ["Zr2+", "Ga4+", 0.0300001541], + ["Ga4+", "Zr4+", 0.2524007444], + ["Zr4+", "Ga4+", 0.2524007444], + ["Ga4+", "Zr3+", 0.1746955061], + ["Zr3+", "Ga4+", 0.1746955061], + ["Ga4+", "Nb5+", 0.2622685744], + ["Nb5+", "Ga4+", 0.2622685744], + ["Ga4+", "Nb3+", 0.1818700372], + ["Nb3+", "Ga4+", 0.1818700372], + ["Ga4+", "Nb4+", 0.0706290228], + ["Nb4+", "Ga4+", 0.0706290228], + ["Ga4+", "Nb2+", 0.077742081], + ["Nb2+", "Ga4+", 0.077742081], + ["Ga4+", "Nb7+", 0.2654669315], + ["Nb7+", "Ga4+", 0.2654669315], + ["Ga4+", "Mo3+", 0.1383985149], + ["Mo3+", "Ga4+", 0.1383985149], + ["Ga4+", "Mo4+", 0.2910029324], + ["Mo4+", "Ga4+", 0.2910029324], + ["Ga4+", "Mo6+", 0.3721579969], + ["Mo6+", "Ga4+", 0.3721579969], + ["Ga4+", "Mo5+", 0.2164606345], + ["Mo5+", "Ga4+", 0.2164606345], + ["Ga4+", "Mo2+", 0.0947772845], + ["Mo2+", "Ga4+", 0.0947772845], + ["Ga4+", "Tc4+", 0.0547503088], + ["Tc4+", "Ga4+", 0.0547503088], + ["Ga4+", "Tc3-", -0.0317243475], + ["Tc3-", "Ga4+", -0.0317243475], + ["Ga4+", "Tc3+", 0.0633921488], + ["Tc3+", "Ga4+", 0.0633921488], + ["Ga4+", "Tc7+", 0.0648476994], + ["Tc7+", "Ga4+", 0.0648476994], + ["Ga4+", "Tc5+", 0.2912772653], + ["Tc5+", "Ga4+", 0.2912772653], + ["Ga4+", "Tc6+", -0.0070502309], + ["Tc6+", "Ga4+", -0.0070502309], + ["Ga4+", "Tc2-", 0.060208736], + ["Tc2-", "Ga4+", 0.060208736], + ["Ga4+", "Tc2+", 0.1015841087], + ["Tc2+", "Ga4+", 0.1015841087], + ["Ga4+", "Ru2+", 0.0994345212], + ["Ru2+", "Ga4+", 0.0994345212], + ["Ga4+", "Ru6+", 0.1753218818], + ["Ru6+", "Ga4+", 0.1753218818], + ["Ga4+", "Ru4+", 0.3612242732], + ["Ru4+", "Ga4+", 0.3612242732], + ["Ga4+", "Ru5+", 0.2584436921], + ["Ru5+", "Ga4+", 0.2584436921], + ["Ga4+", "Ru3+", 0.1058419255], + ["Ru3+", "Ga4+", 0.1058419255], + ["Ga4+", "Rh4+", 0.3080909862], + ["Rh4+", "Ga4+", 0.3080909862], + ["Ga4+", "Rh3+", 0.2396328451], + ["Rh3+", "Ga4+", 0.2396328451], + ["Ga4+", "Pd2+", 0.1157073742], + ["Pd2+", "Ga4+", 0.1157073742], + ["Ga4+", "Pd4+", 0.0554322663], + ["Pd4+", "Ga4+", 0.0554322663], + ["Ga4+", "Pd3+", -0.0049440783], + ["Pd3+", "Ga4+", -0.0049440783], + ["Ga4+", "Ag3+", 0.3569667038], + ["Ag3+", "Ga4+", 0.3569667038], + ["Ga4+", "Ag2+", 0.1700887019], + ["Ag2+", "Ga4+", 0.1700887019], + ["Ga4+", "Cd2+", 0.1252183623], + ["Cd2+", "Ga4+", 0.1252183623], + ["Ga4+", "In3+", 0.2981422253], + ["In3+", "Ga4+", 0.2981422253], + ["Ga4+", "In2+", 0.0196017401], + ["In2+", "Ga4+", 0.0196017401], + ["Ga4+", "Sn4+", 0.2702497888], + ["Sn4+", "Ga4+", 0.2702497888], + ["Ga4+", "Sn3+", 0.2139627789], + ["Sn3+", "Ga4+", 0.2139627789], + ["Ga4+", "Sn2+", 0.1518242209], + ["Sn2+", "Ga4+", 0.1518242209], + ["Ga4+", "Sb5+", 0.353652322], + ["Sb5+", "Ga4+", 0.353652322], + ["Ga4+", "Sb2-", 0.1218981111], + ["Sb2-", "Ga4+", 0.1218981111], + ["Ga4+", "Sb3-", 0.0604401867], + ["Sb3-", "Ga4+", 0.0604401867], + ["Ga4+", "Sb3+", 0.1814517841], + ["Sb3+", "Ga4+", 0.1814517841], + ["Ga4+", "Sb4+", 0.2640792318], + ["Sb4+", "Ga4+", 0.2640792318], + ["Ga4+", "Te2-", 0.3154747837], + ["Te2-", "Ga4+", 0.3154747837], + ["Ga4+", "Te4+", 0.3402821798], + ["Te4+", "Ga4+", 0.3402821798], + ["Ga4+", "Te6+", 0.3018556955], + ["Te6+", "Ga4+", 0.3018556955], + ["Ga4+", "Te2+", -0.0801232474], + ["Te2+", "Ga4+", -0.0801232474], + ["Ga4+", "Te5+", 0.3126324056], + ["Te5+", "Ga4+", 0.3126324056], + ["Ga4+", "I3+", 0.2893932479], + ["I3+", "Ga4+", 0.2893932479], + ["Ga4+", "I7+", 0.2391001431], + ["I7+", "Ga4+", 0.2391001431], + ["Ga4+", "I5+", 0.3343362645], + ["I5+", "Ga4+", 0.3343362645], + ["Ga4+", "I2+", 0.2652084987], + ["I2+", "Ga4+", 0.2652084987], + ["Ga4+", "Ba2+", 0.2148379994], + ["Ba2+", "Ga4+", 0.2148379994], + ["Ga4+", "La3+", 0.2905880559], + ["La3+", "Ga4+", 0.2905880559], + ["Ga4+", "La2+", 0.0844944367], + ["La2+", "Ga4+", 0.0844944367], + ["Ga4+", "Ce3+", 0.1839920733], + ["Ce3+", "Ga4+", 0.1839920733], + ["Ga4+", "Ce2+", 0.0460261098], + ["Ce2+", "Ga4+", 0.0460261098], + ["Ga4+", "Ce4+", 0.3497694595], + ["Ce4+", "Ga4+", 0.3497694595], + ["Ga4+", "Pr3+", 0.1695589231], + ["Pr3+", "Ga4+", 0.1695589231], + ["Ga4+", "Pr4+", 0.265578247], + ["Pr4+", "Ga4+", 0.265578247], + ["Ga4+", "Pr2+", 0.0315286211], + ["Pr2+", "Ga4+", 0.0315286211], + ["Ga4+", "Nd3+", 0.2708592871], + ["Nd3+", "Ga4+", 0.2708592871], + ["Ga4+", "Nd2+", 0.111473556], + ["Nd2+", "Ga4+", 0.111473556], + ["Ga4+", "Pm3+", 0.2015025157], + ["Pm3+", "Ga4+", 0.2015025157], + ["Ga4+", "Sm3+", 0.2193919838], + ["Sm3+", "Ga4+", 0.2193919838], + ["Ga4+", "Sm2+", 0.0357949978], + ["Sm2+", "Ga4+", 0.0357949978], + ["Ga4+", "Eu2+", 0.1778922996], + ["Eu2+", "Ga4+", 0.1778922996], + ["Ga4+", "Eu3+", 0.3900544948], + ["Eu3+", "Ga4+", 0.3900544948], + ["Ga4+", "Gd2+", -0.0191305276], + ["Gd2+", "Ga4+", -0.0191305276], + ["Ga4+", "Gd3+", 0.2143513776], + ["Gd3+", "Ga4+", 0.2143513776], + ["Ga4+", "Tb3+", 0.2513420608], + ["Tb3+", "Ga4+", 0.2513420608], + ["Ga4+", "Tb2+", 0.0016022267], + ["Tb2+", "Ga4+", 0.0016022267], + ["Ga4+", "Tb4+", 0.2294002855], + ["Tb4+", "Ga4+", 0.2294002855], + ["Ga4+", "Dy3+", 0.2609849177], + ["Dy3+", "Ga4+", 0.2609849177], + ["Ga4+", "Dy2+", 0.0926389504], + ["Dy2+", "Ga4+", 0.0926389504], + ["Ga4+", "Ho3+", 0.2925748013], + ["Ho3+", "Ga4+", 0.2925748013], + ["Ga4+", "Ho2+", 0.0690712149], + ["Ho2+", "Ga4+", 0.0690712149], + ["Ga4+", "Er3+", 0.2433010307], + ["Er3+", "Ga4+", 0.2433010307], + ["Ga4+", "Tm3+", 0.2271981496], + ["Tm3+", "Ga4+", 0.2271981496], + ["Ga4+", "Tm2+", 0.0645837819], + ["Tm2+", "Ga4+", 0.0645837819], + ["Ga4+", "Yb3+", 0.2474919788], + ["Yb3+", "Ga4+", 0.2474919788], + ["Ga4+", "Yb2+", 0.0246285824], + ["Yb2+", "Ga4+", 0.0246285824], + ["Ga4+", "Lu3+", 0.2510011503], + ["Lu3+", "Ga4+", 0.2510011503], + ["Ga4+", "Hf3+", 0.1869039427], + ["Hf3+", "Ga4+", 0.1869039427], + ["Ga4+", "Hf2+", -0.0111527292], + ["Hf2+", "Ga4+", -0.0111527292], + ["Ga4+", "Hf4+", 0.3351166785], + ["Hf4+", "Ga4+", 0.3351166785], + ["Ga4+", "Ta5+", 0.3534436093], + ["Ta5+", "Ga4+", 0.3534436093], + ["Ga4+", "Ta3+", 0.0419007833], + ["Ta3+", "Ga4+", 0.0419007833], + ["Ga4+", "Ta4+", 0.2288933978], + ["Ta4+", "Ga4+", 0.2288933978], + ["Ga4+", "Ta2+", -0.0294888246], + ["Ta2+", "Ga4+", -0.0294888246], + ["Ga4+", "W6+", 0.3621098231], + ["W6+", "Ga4+", 0.3621098231], + ["Ga4+", "W4+", 0.375736337], + ["W4+", "Ga4+", 0.375736337], + ["Ga4+", "W2+", 0.153939089], + ["W2+", "Ga4+", 0.153939089], + ["Ga4+", "W3+", 0.1972486142], + ["W3+", "Ga4+", 0.1972486142], + ["Ga4+", "W5+", 0.2502706108], + ["W5+", "Ga4+", 0.2502706108], + ["Ga4+", "Re5+", 0.3692092402], + ["Re5+", "Ga4+", 0.3692092402], + ["Ga4+", "Re3+", 0.0634023561], + ["Re3+", "Ga4+", 0.0634023561], + ["Ga4+", "Re6+", 0.1735367105], + ["Re6+", "Ga4+", 0.1735367105], + ["Ga4+", "Re2+", 0.2000412091], + ["Re2+", "Ga4+", 0.2000412091], + ["Ga4+", "Re4+", 0.1544410359], + ["Re4+", "Ga4+", 0.1544410359], + ["Ga4+", "Re7+", 0.1820577437], + ["Re7+", "Ga4+", 0.1820577437], + ["Ga4+", "Os7+", 0.1687755439], + ["Os7+", "Ga4+", 0.1687755439], + ["Ga4+", "Os6+", 0.310900888], + ["Os6+", "Ga4+", 0.310900888], + ["Ga4+", "Os5+", 0.1844362278], + ["Os5+", "Ga4+", 0.1844362278], + ["Ga4+", "Os2-", -0.1867679251], + ["Os2-", "Ga4+", -0.1867679251], + ["Ga4+", "Os3+", 0.1621986797], + ["Os3+", "Ga4+", 0.1621986797], + ["Ga4+", "Os4+", 0.2301273663], + ["Os4+", "Ga4+", 0.2301273663], + ["Ga4+", "Os8+", 0.1243310897], + ["Os8+", "Ga4+", 0.1243310897], + ["Ga4+", "Os2+", 0.2845855638], + ["Os2+", "Ga4+", 0.2845855638], + ["Ga4+", "Ir3+", 0.0692353277], + ["Ir3+", "Ga4+", 0.0692353277], + ["Ga4+", "Ir4+", 0.1606015456], + ["Ir4+", "Ga4+", 0.1606015456], + ["Ga4+", "Ir5+", 0.2338762834], + ["Ir5+", "Ga4+", 0.2338762834], + ["Ga4+", "Ir6+", 0.2755783394], + ["Ir6+", "Ga4+", 0.2755783394], + ["Ga4+", "Pt2+", 0.1025221947], + ["Pt2+", "Ga4+", 0.1025221947], + ["Ga4+", "Pt2-", -0.0377522147], + ["Pt2-", "Ga4+", -0.0377522147], + ["Ga4+", "Pt4+", 0.1498892522], + ["Pt4+", "Ga4+", 0.1498892522], + ["Ga4+", "Pt3+", 0.1344309659], + ["Pt3+", "Ga4+", 0.1344309659], + ["Ga4+", "Pt5+", -0.0192879693], + ["Pt5+", "Ga4+", -0.0192879693], + ["Ga4+", "Pt6+", 0.1005643389], + ["Pt6+", "Ga4+", 0.1005643389], + ["Ga4+", "Au2+", 0.1811113055], + ["Au2+", "Ga4+", 0.1811113055], + ["Ga4+", "Au3+", 0.0037662312], + ["Au3+", "Ga4+", 0.0037662312], + ["Ga4+", "Au5+", 0.045459467], + ["Au5+", "Ga4+", 0.045459467], + ["Ga4+", "Au4+", -0.012021439], + ["Au4+", "Ga4+", -0.012021439], + ["Ga4+", "Hg2+", 0.0802784693], + ["Hg2+", "Ga4+", 0.0802784693], + ["Ga4+", "Tl3+", 0.1308829874], + ["Tl3+", "Ga4+", 0.1308829874], + ["Ga4+", "Tl2+", 0.2594412663], + ["Tl2+", "Ga4+", 0.2594412663], + ["Ga4+", "Pb2+", 0.3617674855], + ["Pb2+", "Ga4+", 0.3617674855], + ["Ga4+", "Pb3+", 0.2307685226], + ["Pb3+", "Ga4+", 0.2307685226], + ["Ga4+", "Pb4+", 0.2677948909], + ["Pb4+", "Ga4+", 0.2677948909], + ["Ga4+", "Bi3+", 0.3676636485], + ["Bi3+", "Ga4+", 0.3676636485], + ["Ga4+", "Bi5+", 0.2583643072], + ["Bi5+", "Ga4+", 0.2583643072], + ["Ga4+", "Bi2+", 0.2394006109], + ["Bi2+", "Ga4+", 0.2394006109], + ["Ga4+", "Bi3-", 0.1284179577], + ["Bi3-", "Ga4+", 0.1284179577], + ["Ga4+", "Bi4+", 0.1743927753], + ["Bi4+", "Ga4+", 0.1743927753], + ["Ga4+", "Ac3+", 0.0772668154], + ["Ac3+", "Ga4+", 0.0772668154], + ["Ga4+", "Th4+", 0.066823627], + ["Th4+", "Ga4+", 0.066823627], + ["Ga4+", "Th3+", -0.0069104712], + ["Th3+", "Ga4+", -0.0069104712], + ["Ga4+", "Pa4+", -0.0314645896], + ["Pa4+", "Ga4+", -0.0314645896], + ["Ga4+", "Pa5+", 0.234998135], + ["Pa5+", "Ga4+", 0.234998135], + ["Ga4+", "Pa3+", -0.0498683839], + ["Pa3+", "Ga4+", -0.0498683839], + ["Ga4+", "U6+", 0.3349882744], + ["U6+", "Ga4+", 0.3349882744], + ["Ga4+", "U4+", 0.0057270851], + ["U4+", "Ga4+", 0.0057270851], + ["Ga4+", "U3+", -0.0623467422], + ["U3+", "Ga4+", -0.0623467422], + ["Ga4+", "U2+", 0.0363406188], + ["U2+", "Ga4+", 0.0363406188], + ["Ga4+", "U5+", 0.1931976702], + ["U5+", "Ga4+", 0.1931976702], + ["Ga4+", "Np6+", 0.1770024834], + ["Np6+", "Ga4+", 0.1770024834], + ["Ga4+", "Np4+", -0.1049536982], + ["Np4+", "Ga4+", -0.1049536982], + ["Ga4+", "Np3+", 0.1116816516], + ["Np3+", "Ga4+", 0.1116816516], + ["Ga4+", "Np7+", 0.2961465263], + ["Np7+", "Ga4+", 0.2961465263], + ["Ga4+", "Np5+", 0.1928728578], + ["Np5+", "Ga4+", 0.1928728578], + ["Ga4+", "Pu7+", 0.3811894465], + ["Pu7+", "Ga4+", 0.3811894465], + ["Ga4+", "Pu6+", 0.1987266787], + ["Pu6+", "Ga4+", 0.1987266787], + ["Ga4+", "Pu3+", 0.209963277], + ["Pu3+", "Ga4+", 0.209963277], + ["Ga4+", "Pu4+", 0.2339681182], + ["Pu4+", "Ga4+", 0.2339681182], + ["Ga4+", "Pu5+", 0.2872866433], + ["Pu5+", "Ga4+", 0.2872866433], + ["Ga4+", "H1+", 0.3161104175], + ["H1+", "Ga4+", 0.3161104175], + ["Ga4+", "H1-", 0.1630197007], + ["H1-", "Ga4+", 0.1630197007], + ["Ga4+", "Li1+", 0.1694276069], + ["Li1+", "Ga4+", 0.1694276069], + ["Ga4+", "B1+", 0.0967593196], + ["B1+", "Ga4+", 0.0967593196], + ["Ga4+", "B1-", 0.1115631265], + ["B1-", "Ga4+", 0.1115631265], + ["Ga4+", "C1-", 0.1864085744], + ["C1-", "Ga4+", 0.1864085744], + ["Ga4+", "C1+", 0.2137217584], + ["C1+", "Ga4+", 0.2137217584], + ["Ga4+", "N1-", 0.2144321175], + ["N1-", "Ga4+", 0.2144321175], + ["Ga4+", "N1+", 0.092177023], + ["N1+", "Ga4+", 0.092177023], + ["Ga4+", "O1-", 0.3025236627], + ["O1-", "Ga4+", 0.3025236627], + ["Ga4+", "F1-", 0.2224325226], + ["F1-", "Ga4+", 0.2224325226], + ["Ga4+", "Na1+", 0.404718384], + ["Na1+", "Ga4+", 0.404718384], + ["Ga4+", "Si1-", 0.132961502], + ["Si1-", "Ga4+", 0.132961502], + ["Ga4+", "P1+", 0.1186788543], + ["P1+", "Ga4+", 0.1186788543], + ["Ga4+", "P1-", 0.0576405239], + ["P1-", "Ga4+", 0.0576405239], + ["Ga4+", "S1-", 0.0441332512], + ["S1-", "Ga4+", 0.0441332512], + ["Ga4+", "S1+", 0.2240999462], + ["S1+", "Ga4+", 0.2240999462], + ["Ga4+", "Cl1-", 0.2223757425], + ["Cl1-", "Ga4+", 0.2223757425], + ["Ga4+", "K1+", 0.2572289403], + ["K1+", "Ga4+", 0.2572289403], + ["Ga4+", "Sc1+", 0.074325455], + ["Sc1+", "Ga4+", 0.074325455], + ["Ga4+", "Mn1+", 0.2402830565], + ["Mn1+", "Ga4+", 0.2402830565], + ["Ga4+", "Fe1+", -0.0562807258], + ["Fe1+", "Ga4+", -0.0562807258], + ["Ga4+", "Co1+", 0.0250394457], + ["Co1+", "Ga4+", 0.0250394457], + ["Ga4+", "Ni1+", -0.0602710161], + ["Ni1+", "Ga4+", -0.0602710161], + ["Ga4+", "Cu1+", 0.1653011861], + ["Cu1+", "Ga4+", 0.1653011861], + ["Ga4+", "Ga1+", 0.0796520695], + ["Ga1+", "Ga4+", 0.0796520695], + ["Ga4+", "As1-", -0.0229074939], + ["As1-", "Ga4+", -0.0229074939], + ["Ga4+", "As1+", 0.1698888054], + ["As1+", "Ga4+", 0.1698888054], + ["Ga4+", "Se1-", 0.0927636784], + ["Se1-", "Ga4+", 0.0927636784], + ["Ga4+", "Se1+", 0.3247581753], + ["Se1+", "Ga4+", 0.3247581753], + ["Ga4+", "Br1-", 0.2306179966], + ["Br1-", "Ga4+", 0.2306179966], + ["Ga4+", "Br1+", 0.2432235739], + ["Br1+", "Ga4+", 0.2432235739], + ["Ga4+", "Rb1+", 0.2500613585], + ["Rb1+", "Ga4+", 0.2500613585], + ["Ga4+", "Y1+", 0.0087732129], + ["Y1+", "Ga4+", 0.0087732129], + ["Ga4+", "Zr1+", -0.0406908158], + ["Zr1+", "Ga4+", -0.0406908158], + ["Ga4+", "Nb1+", -0.0326768527], + ["Nb1+", "Ga4+", -0.0326768527], + ["Ga4+", "Tc1-", 0.0432715011], + ["Tc1-", "Ga4+", 0.0432715011], + ["Ga4+", "Tc1+", -0.0249468436], + ["Tc1+", "Ga4+", -0.0249468436], + ["Ga4+", "Rh1+", -0.0085451267], + ["Rh1+", "Ga4+", -0.0085451267], + ["Ga4+", "Ag1+", 0.2828782245], + ["Ag1+", "Ga4+", 0.2828782245], + ["Ga4+", "In1+", 0.0600565732], + ["In1+", "Ga4+", 0.0600565732], + ["Ga4+", "Sb1-", 0.1041659859], + ["Sb1-", "Ga4+", 0.1041659859], + ["Ga4+", "Sb1+", 0.0761348838], + ["Sb1+", "Ga4+", 0.0761348838], + ["Ga4+", "Te1-", 0.2045843883], + ["Te1-", "Ga4+", 0.2045843883], + ["Ga4+", "Te1+", 0.0693095624], + ["Te1+", "Ga4+", 0.0693095624], + ["Ga4+", "I1-", 0.1632108909], + ["I1-", "Ga4+", 0.1632108909], + ["Ga4+", "I1+", 0.1790090907], + ["I1+", "Ga4+", 0.1790090907], + ["Ga4+", "Cs1+", 0.2256227533], + ["Cs1+", "Ga4+", 0.2256227533], + ["Ga4+", "La1+", 0.07271763], + ["La1+", "Ga4+", 0.07271763], + ["Ga4+", "Tb1+", -0.058270537], + ["Tb1+", "Ga4+", -0.058270537], + ["Ga4+", "Ta1+", 0.0457150481], + ["Ta1+", "Ga4+", 0.0457150481], + ["Ga4+", "Os1-", 0.0592880975], + ["Os1-", "Ga4+", 0.0592880975], + ["Ga4+", "Os1+", 0.0415387134], + ["Os1+", "Ga4+", 0.0415387134], + ["Ga4+", "Pt1-", 0.1041220976], + ["Pt1-", "Ga4+", 0.1041220976], + ["Ga4+", "Pt1+", 0.1747906135], + ["Pt1+", "Ga4+", 0.1747906135], + ["Ga4+", "Au1-", -0.0954406811], + ["Au1-", "Ga4+", -0.0954406811], + ["Ga4+", "Au1+", 0.0457187082], + ["Au1+", "Ga4+", 0.0457187082], + ["Ga4+", "Hg1+", 0.2629484654], + ["Hg1+", "Ga4+", 0.2629484654], + ["Ga4+", "Tl1+", 0.2865092885], + ["Tl1+", "Ga4+", 0.2865092885], + ["Ga4+", "Bi1+", 0.1680679878], + ["Bi1+", "Ga4+", 0.1680679878], + ["Ga2+", "Ga2+", 1.0], + ["Ga2+", "Ge4-", 0.0543731085], + ["Ge4-", "Ga2+", 0.0543731085], + ["Ga2+", "Ge4+", 0.3752429636], + ["Ge4+", "Ga2+", 0.3752429636], + ["Ga2+", "Ge2-", 0.0975086183], + ["Ge2-", "Ga2+", 0.0975086183], + ["Ga2+", "Ge2+", 0.3891184864], + ["Ge2+", "Ga2+", 0.3891184864], + ["Ga2+", "Ge3+", 0.273085574], + ["Ge3+", "Ga2+", 0.273085574], + ["Ga2+", "As2-", 0.1626803719], + ["As2-", "Ga2+", 0.1626803719], + ["Ga2+", "As3+", 0.2346013816], + ["As3+", "Ga2+", 0.2346013816], + ["Ga2+", "As5+", -0.2192397911], + ["As5+", "Ga2+", -0.2192397911], + ["Ga2+", "As3-", 0.229879271], + ["As3-", "Ga2+", 0.229879271], + ["Ga2+", "As2+", 0.1178543631], + ["As2+", "Ga2+", 0.1178543631], + ["Ga2+", "As4+", -0.063126918], + ["As4+", "Ga2+", -0.063126918], + ["Ga2+", "Se2-", 0.0548023921], + ["Se2-", "Ga2+", 0.0548023921], + ["Ga2+", "Se4+", 0.1126573014], + ["Se4+", "Ga2+", 0.1126573014], + ["Ga2+", "Se6+", -0.0409814661], + ["Se6+", "Ga2+", -0.0409814661], + ["Ga2+", "Se5+", -0.0110049274], + ["Se5+", "Ga2+", -0.0110049274], + ["Ga2+", "Se2+", 0.3426008646], + ["Se2+", "Ga2+", 0.3426008646], + ["Ga2+", "Se3+", 0.1749394619], + ["Se3+", "Ga2+", 0.1749394619], + ["Ga2+", "Br2+", 0.1852700804], + ["Br2+", "Ga2+", 0.1852700804], + ["Ga2+", "Br5+", -0.0826881755], + ["Br5+", "Ga2+", -0.0826881755], + ["Ga2+", "Br3+", -0.1992216368], + ["Br3+", "Ga2+", -0.1992216368], + ["Ga2+", "Sr2+", 0.3579930972], + ["Sr2+", "Ga2+", 0.3579930972], + ["Ga2+", "Y3+", 0.3305754458], + ["Y3+", "Ga2+", 0.3305754458], + ["Ga2+", "Y2+", 0.0207687404], + ["Y2+", "Ga2+", 0.0207687404], + ["Ga2+", "Zr2+", 0.4815497424], + ["Zr2+", "Ga2+", 0.4815497424], + ["Ga2+", "Zr4+", 0.0419256496], + ["Zr4+", "Ga2+", 0.0419256496], + ["Ga2+", "Zr3+", 0.3900265498], + ["Zr3+", "Ga2+", 0.3900265498], + ["Ga2+", "Nb5+", 0.1544937189], + ["Nb5+", "Ga2+", 0.1544937189], + ["Ga2+", "Nb3+", 0.3963581198], + ["Nb3+", "Ga2+", 0.3963581198], + ["Ga2+", "Nb4+", 0.2237902249], + ["Nb4+", "Ga2+", 0.2237902249], + ["Ga2+", "Nb2+", 0.5654970244], + ["Nb2+", "Ga2+", 0.5654970244], + ["Ga2+", "Nb7+", 0.0892156256], + ["Nb7+", "Ga2+", 0.0892156256], + ["Ga2+", "Mo3+", 0.2790217452], + ["Mo3+", "Ga2+", 0.2790217452], + ["Ga2+", "Mo4+", 0.2059042782], + ["Mo4+", "Ga2+", 0.2059042782], + ["Ga2+", "Mo6+", 0.0529215432], + ["Mo6+", "Ga2+", 0.0529215432], + ["Ga2+", "Mo5+", -0.0313470842], + ["Mo5+", "Ga2+", -0.0313470842], + ["Ga2+", "Mo2+", 0.4496353673], + ["Mo2+", "Ga2+", 0.4496353673], + ["Ga2+", "Tc4+", 0.1420043271], + ["Tc4+", "Ga2+", 0.1420043271], + ["Ga2+", "Tc3-", 0.162381312], + ["Tc3-", "Ga2+", 0.162381312], + ["Ga2+", "Tc3+", 0.3153206055], + ["Tc3+", "Ga2+", 0.3153206055], + ["Ga2+", "Tc7+", -0.0901990407], + ["Tc7+", "Ga2+", -0.0901990407], + ["Ga2+", "Tc5+", 0.2130452943], + ["Tc5+", "Ga2+", 0.2130452943], + ["Ga2+", "Tc6+", -0.2325086317], + ["Tc6+", "Ga2+", -0.2325086317], + ["Ga2+", "Tc2-", -0.0242921804], + ["Tc2-", "Ga2+", -0.0242921804], + ["Ga2+", "Tc2+", 0.2794134195], + ["Tc2+", "Ga2+", 0.2794134195], + ["Ga2+", "Ru2+", 0.367008958], + ["Ru2+", "Ga2+", 0.367008958], + ["Ga2+", "Ru6+", 0.1375780705], + ["Ru6+", "Ga2+", 0.1375780705], + ["Ga2+", "Ru4+", 0.2366447342], + ["Ru4+", "Ga2+", 0.2366447342], + ["Ga2+", "Ru5+", 0.1562047256], + ["Ru5+", "Ga2+", 0.1562047256], + ["Ga2+", "Ru3+", 0.1341429139], + ["Ru3+", "Ga2+", 0.1341429139], + ["Ga2+", "Rh4+", 0.1923281306], + ["Rh4+", "Ga2+", 0.1923281306], + ["Ga2+", "Rh3+", 0.1907171324], + ["Rh3+", "Ga2+", 0.1907171324], + ["Ga2+", "Pd2+", 0.1868663634], + ["Pd2+", "Ga2+", 0.1868663634], + ["Ga2+", "Pd4+", 0.2920950423], + ["Pd4+", "Ga2+", 0.2920950423], + ["Ga2+", "Pd3+", 0.0549325133], + ["Pd3+", "Ga2+", 0.0549325133], + ["Ga2+", "Ag3+", -0.1378107274], + ["Ag3+", "Ga2+", -0.1378107274], + ["Ga2+", "Ag2+", 0.0289131888], + ["Ag2+", "Ga2+", 0.0289131888], + ["Ga2+", "Cd2+", 0.4455937781], + ["Cd2+", "Ga2+", 0.4455937781], + ["Ga2+", "In3+", 0.4397335588], + ["In3+", "Ga2+", 0.4397335588], + ["Ga2+", "In2+", 0.5183320247], + ["In2+", "Ga2+", 0.5183320247], + ["Ga2+", "Sn4+", 0.2627607298], + ["Sn4+", "Ga2+", 0.2627607298], + ["Ga2+", "Sn3+", 0.1158928223], + ["Sn3+", "Ga2+", 0.1158928223], + ["Ga2+", "Sn2+", 0.30299931], + ["Sn2+", "Ga2+", 0.30299931], + ["Ga2+", "Sb5+", 0.0264200161], + ["Sb5+", "Ga2+", 0.0264200161], + ["Ga2+", "Sb2-", -0.1149410608], + ["Sb2-", "Ga2+", -0.1149410608], + ["Ga2+", "Sb3-", 0.1244191926], + ["Sb3-", "Ga2+", 0.1244191926], + ["Ga2+", "Sb3+", 0.2881688264], + ["Sb3+", "Ga2+", 0.2881688264], + ["Ga2+", "Sb4+", -0.0061707443], + ["Sb4+", "Ga2+", -0.0061707443], + ["Ga2+", "Te2-", 0.2603335126], + ["Te2-", "Ga2+", 0.2603335126], + ["Ga2+", "Te4+", 0.2177751076], + ["Te4+", "Ga2+", 0.2177751076], + ["Ga2+", "Te6+", -0.1026855668], + ["Te6+", "Ga2+", -0.1026855668], + ["Ga2+", "Te2+", 0.1724736912], + ["Te2+", "Ga2+", 0.1724736912], + ["Ga2+", "Te5+", 0.2268784545], + ["Te5+", "Ga2+", 0.2268784545], + ["Ga2+", "I3+", 0.045709518], + ["I3+", "Ga2+", 0.045709518], + ["Ga2+", "I7+", -0.1416076513], + ["I7+", "Ga2+", -0.1416076513], + ["Ga2+", "I5+", -0.0189400276], + ["I5+", "Ga2+", -0.0189400276], + ["Ga2+", "I2+", -0.0288889177], + ["I2+", "Ga2+", -0.0288889177], + ["Ga2+", "Ba2+", 0.2839547906], + ["Ba2+", "Ga2+", 0.2839547906], + ["Ga2+", "La3+", 0.3392334638], + ["La3+", "Ga2+", 0.3392334638], + ["Ga2+", "La2+", 0.3494979741], + ["La2+", "Ga2+", 0.3494979741], + ["Ga2+", "Ce3+", 0.364960024], + ["Ce3+", "Ga2+", 0.364960024], + ["Ga2+", "Ce2+", 0.4083368628], + ["Ce2+", "Ga2+", 0.4083368628], + ["Ga2+", "Ce4+", 0.0842832214], + ["Ce4+", "Ga2+", 0.0842832214], + ["Ga2+", "Pr3+", 0.2495386163], + ["Pr3+", "Ga2+", 0.2495386163], + ["Ga2+", "Pr4+", 0.0519654005], + ["Pr4+", "Ga2+", 0.0519654005], + ["Ga2+", "Pr2+", 0.2933014188], + ["Pr2+", "Ga2+", 0.2933014188], + ["Ga2+", "Nd3+", 0.197956809], + ["Nd3+", "Ga2+", 0.197956809], + ["Ga2+", "Nd2+", 0.3252745916], + ["Nd2+", "Ga2+", 0.3252745916], + ["Ga2+", "Pm3+", 0.4006792169], + ["Pm3+", "Ga2+", 0.4006792169], + ["Ga2+", "Sm3+", 0.27013071], + ["Sm3+", "Ga2+", 0.27013071], + ["Ga2+", "Sm2+", 0.4218399876], + ["Sm2+", "Ga2+", 0.4218399876], + ["Ga2+", "Eu2+", 0.3970188278], + ["Eu2+", "Ga2+", 0.3970188278], + ["Ga2+", "Eu3+", 0.2199145894], + ["Eu3+", "Ga2+", 0.2199145894], + ["Ga2+", "Gd2+", 0.1620987034], + ["Gd2+", "Ga2+", 0.1620987034], + ["Ga2+", "Gd3+", 0.2423089481], + ["Gd3+", "Ga2+", 0.2423089481], + ["Ga2+", "Tb3+", 0.2641509137], + ["Tb3+", "Ga2+", 0.2641509137], + ["Ga2+", "Tb2+", 0.3211035727], + ["Tb2+", "Ga2+", 0.3211035727], + ["Ga2+", "Tb4+", -0.0452818958], + ["Tb4+", "Ga2+", -0.0452818958], + ["Ga2+", "Dy3+", 0.2297966058], + ["Dy3+", "Ga2+", 0.2297966058], + ["Ga2+", "Dy2+", 0.339444878], + ["Dy2+", "Ga2+", 0.339444878], + ["Ga2+", "Ho3+", 0.2506202871], + ["Ho3+", "Ga2+", 0.2506202871], + ["Ga2+", "Ho2+", 0.3058184989], + ["Ho2+", "Ga2+", 0.3058184989], + ["Ga2+", "Er3+", 0.1654853775], + ["Er3+", "Ga2+", 0.1654853775], + ["Ga2+", "Tm3+", 0.2175753782], + ["Tm3+", "Ga2+", 0.2175753782], + ["Ga2+", "Tm2+", 0.3967585787], + ["Tm2+", "Ga2+", 0.3967585787], + ["Ga2+", "Yb3+", 0.1598643299], + ["Yb3+", "Ga2+", 0.1598643299], + ["Ga2+", "Yb2+", 0.3738990931], + ["Yb2+", "Ga2+", 0.3738990931], + ["Ga2+", "Lu3+", 0.0829574499], + ["Lu3+", "Ga2+", 0.0829574499], + ["Ga2+", "Hf3+", 0.3624338094], + ["Hf3+", "Ga2+", 0.3624338094], + ["Ga2+", "Hf2+", 0.082626429], + ["Hf2+", "Ga2+", 0.082626429], + ["Ga2+", "Hf4+", 0.0621375426], + ["Hf4+", "Ga2+", 0.0621375426], + ["Ga2+", "Ta5+", 0.1700834422], + ["Ta5+", "Ga2+", 0.1700834422], + ["Ga2+", "Ta3+", 0.232475269], + ["Ta3+", "Ga2+", 0.232475269], + ["Ga2+", "Ta4+", 0.385170806], + ["Ta4+", "Ga2+", 0.385170806], + ["Ga2+", "Ta2+", 0.3806224547], + ["Ta2+", "Ga2+", 0.3806224547], + ["Ga2+", "W6+", 0.0635682785], + ["W6+", "Ga2+", 0.0635682785], + ["Ga2+", "W4+", 0.2970775981], + ["W4+", "Ga2+", 0.2970775981], + ["Ga2+", "W2+", 0.5001559048], + ["W2+", "Ga2+", 0.5001559048], + ["Ga2+", "W3+", 0.3433224552], + ["W3+", "Ga2+", 0.3433224552], + ["Ga2+", "W5+", 0.153199921], + ["W5+", "Ga2+", 0.153199921], + ["Ga2+", "Re5+", 0.4094608611], + ["Re5+", "Ga2+", 0.4094608611], + ["Ga2+", "Re3+", 0.443357762], + ["Re3+", "Ga2+", 0.443357762], + ["Ga2+", "Re6+", -0.0307251133], + ["Re6+", "Ga2+", -0.0307251133], + ["Ga2+", "Re2+", 0.1607340191], + ["Re2+", "Ga2+", 0.1607340191], + ["Ga2+", "Re4+", 0.41488017], + ["Re4+", "Ga2+", 0.41488017], + ["Ga2+", "Re7+", 0.1202358907], + ["Re7+", "Ga2+", 0.1202358907], + ["Ga2+", "Os7+", -0.1220560613], + ["Os7+", "Ga2+", -0.1220560613], + ["Ga2+", "Os6+", -0.0863253292], + ["Os6+", "Ga2+", -0.0863253292], + ["Ga2+", "Os5+", 0.1947683058], + ["Os5+", "Ga2+", 0.1947683058], + ["Ga2+", "Os2-", 0.1131051623], + ["Os2-", "Ga2+", 0.1131051623], + ["Ga2+", "Os3+", 0.2036393442], + ["Os3+", "Ga2+", 0.2036393442], + ["Ga2+", "Os4+", 0.3378119958], + ["Os4+", "Ga2+", 0.3378119958], + ["Ga2+", "Os8+", 0.0923431806], + ["Os8+", "Ga2+", 0.0923431806], + ["Ga2+", "Os2+", 0.2041161455], + ["Os2+", "Ga2+", 0.2041161455], + ["Ga2+", "Ir3+", 0.185649447], + ["Ir3+", "Ga2+", 0.185649447], + ["Ga2+", "Ir4+", 0.2900303776], + ["Ir4+", "Ga2+", 0.2900303776], + ["Ga2+", "Ir5+", 0.3110305358], + ["Ir5+", "Ga2+", 0.3110305358], + ["Ga2+", "Ir6+", 0.0399367016], + ["Ir6+", "Ga2+", 0.0399367016], + ["Ga2+", "Pt2+", 0.3546233506], + ["Pt2+", "Ga2+", 0.3546233506], + ["Ga2+", "Pt2-", 0.2549086205], + ["Pt2-", "Ga2+", 0.2549086205], + ["Ga2+", "Pt4+", 0.1946237895], + ["Pt4+", "Ga2+", 0.1946237895], + ["Ga2+", "Pt3+", 0.1727335258], + ["Pt3+", "Ga2+", 0.1727335258], + ["Ga2+", "Pt5+", 0.2961163863], + ["Pt5+", "Ga2+", 0.2961163863], + ["Ga2+", "Pt6+", 0.0358519294], + ["Pt6+", "Ga2+", 0.0358519294], + ["Ga2+", "Au2+", 0.1981651026], + ["Au2+", "Ga2+", 0.1981651026], + ["Ga2+", "Au3+", 0.1323269507], + ["Au3+", "Ga2+", 0.1323269507], + ["Ga2+", "Au5+", 0.0708989889], + ["Au5+", "Ga2+", 0.0708989889], + ["Ga2+", "Au4+", 0.0209442103], + ["Au4+", "Ga2+", 0.0209442103], + ["Ga2+", "Hg2+", 0.3562491203], + ["Hg2+", "Ga2+", 0.3562491203], + ["Ga2+", "Tl3+", 0.0798526399], + ["Tl3+", "Ga2+", 0.0798526399], + ["Ga2+", "Tl2+", 0.1034635247], + ["Tl2+", "Ga2+", 0.1034635247], + ["Ga2+", "Pb2+", 0.3306475547], + ["Pb2+", "Ga2+", 0.3306475547], + ["Ga2+", "Pb3+", 0.1896211692], + ["Pb3+", "Ga2+", 0.1896211692], + ["Ga2+", "Pb4+", 0.0790501893], + ["Pb4+", "Ga2+", 0.0790501893], + ["Ga2+", "Bi3+", 0.3518873332], + ["Bi3+", "Ga2+", 0.3518873332], + ["Ga2+", "Bi5+", 0.0378116653], + ["Bi5+", "Ga2+", 0.0378116653], + ["Ga2+", "Bi2+", 0.4378571801], + ["Bi2+", "Ga2+", 0.4378571801], + ["Ga2+", "Bi3-", 0.0959641227], + ["Bi3-", "Ga2+", 0.0959641227], + ["Ga2+", "Bi4+", -0.115812578], + ["Bi4+", "Ga2+", -0.115812578], + ["Ga2+", "Ac3+", 0.349682632], + ["Ac3+", "Ga2+", 0.349682632], + ["Ga2+", "Th4+", -0.0572453654], + ["Th4+", "Ga2+", -0.0572453654], + ["Ga2+", "Th3+", 0.2058150455], + ["Th3+", "Ga2+", 0.2058150455], + ["Ga2+", "Pa4+", 0.358969567], + ["Pa4+", "Ga2+", 0.358969567], + ["Ga2+", "Pa5+", 0.0301245415], + ["Pa5+", "Ga2+", 0.0301245415], + ["Ga2+", "Pa3+", 0.3396007003], + ["Pa3+", "Ga2+", 0.3396007003], + ["Ga2+", "U6+", 0.0974311944], + ["U6+", "Ga2+", 0.0974311944], + ["Ga2+", "U4+", 0.1382567016], + ["U4+", "Ga2+", 0.1382567016], + ["Ga2+", "U3+", 0.2526358016], + ["U3+", "Ga2+", 0.2526358016], + ["Ga2+", "U2+", 0.4857002579], + ["U2+", "Ga2+", 0.4857002579], + ["Ga2+", "U5+", 0.0028824382], + ["U5+", "Ga2+", 0.0028824382], + ["Ga2+", "Np6+", 0.1633517223], + ["Np6+", "Ga2+", 0.1633517223], + ["Ga2+", "Np4+", 0.0683562629], + ["Np4+", "Ga2+", 0.0683562629], + ["Ga2+", "Np3+", 0.4357665938], + ["Np3+", "Ga2+", 0.4357665938], + ["Ga2+", "Np7+", 0.2586874864], + ["Np7+", "Ga2+", 0.2586874864], + ["Ga2+", "Np5+", 0.3484767672], + ["Np5+", "Ga2+", 0.3484767672], + ["Ga2+", "Pu7+", 0.0374447267], + ["Pu7+", "Ga2+", 0.0374447267], + ["Ga2+", "Pu6+", 0.3055048007], + ["Pu6+", "Ga2+", 0.3055048007], + ["Ga2+", "Pu3+", 0.2020411239], + ["Pu3+", "Ga2+", 0.2020411239], + ["Ga2+", "Pu4+", 0.0460393242], + ["Pu4+", "Ga2+", 0.0460393242], + ["Ga2+", "Pu5+", 0.3179151771], + ["Pu5+", "Ga2+", 0.3179151771], + ["Ga2+", "H1+", -0.2341216511], + ["H1+", "Ga2+", -0.2341216511], + ["Ga2+", "H1-", 0.0102380006], + ["H1-", "Ga2+", 0.0102380006], + ["Ga2+", "Li1+", 0.0409776233], + ["Li1+", "Ga2+", 0.0409776233], + ["Ga2+", "B1+", 0.2170186224], + ["B1+", "Ga2+", 0.2170186224], + ["Ga2+", "B1-", -0.0511564076], + ["B1-", "Ga2+", -0.0511564076], + ["Ga2+", "C1-", 0.0664200156], + ["C1-", "Ga2+", 0.0664200156], + ["Ga2+", "C1+", 0.08253618], + ["C1+", "Ga2+", 0.08253618], + ["Ga2+", "N1-", 0.0165523606], + ["N1-", "Ga2+", 0.0165523606], + ["Ga2+", "N1+", 0.2257199425], + ["N1+", "Ga2+", 0.2257199425], + ["Ga2+", "O1-", 0.0518785798], + ["O1-", "Ga2+", 0.0518785798], + ["Ga2+", "F1-", 0.0237346219], + ["F1-", "Ga2+", 0.0237346219], + ["Ga2+", "Na1+", 0.2305869167], + ["Na1+", "Ga2+", 0.2305869167], + ["Ga2+", "Si1-", 0.0287576195], + ["Si1-", "Ga2+", 0.0287576195], + ["Ga2+", "P1+", 0.2282672844], + ["P1+", "Ga2+", 0.2282672844], + ["Ga2+", "P1-", 0.0087982513], + ["P1-", "Ga2+", 0.0087982513], + ["Ga2+", "S1-", 0.0428495063], + ["S1-", "Ga2+", 0.0428495063], + ["Ga2+", "S1+", 0.2066272895], + ["S1+", "Ga2+", 0.2066272895], + ["Ga2+", "Cl1-", 0.1742625374], + ["Cl1-", "Ga2+", 0.1742625374], + ["Ga2+", "K1+", 0.2234434876], + ["K1+", "Ga2+", 0.2234434876], + ["Ga2+", "Sc1+", 0.4002408797], + ["Sc1+", "Ga2+", 0.4002408797], + ["Ga2+", "Mn1+", 0.088297323], + ["Mn1+", "Ga2+", 0.088297323], + ["Ga2+", "Fe1+", 0.295482097], + ["Fe1+", "Ga2+", 0.295482097], + ["Ga2+", "Co1+", 0.2116095276], + ["Co1+", "Ga2+", 0.2116095276], + ["Ga2+", "Ni1+", 0.3632290873], + ["Ni1+", "Ga2+", 0.3632290873], + ["Ga2+", "Cu1+", 0.4425279872], + ["Cu1+", "Ga2+", 0.4425279872], + ["Ga2+", "Ga1+", 0.2263388383], + ["Ga1+", "Ga2+", 0.2263388383], + ["Ga2+", "As1-", 0.1051157599], + ["As1-", "Ga2+", 0.1051157599], + ["Ga2+", "As1+", 0.3787871174], + ["As1+", "Ga2+", 0.3787871174], + ["Ga2+", "Se1-", 0.0394228372], + ["Se1-", "Ga2+", 0.0394228372], + ["Ga2+", "Se1+", 0.2783170191], + ["Se1+", "Ga2+", 0.2783170191], + ["Ga2+", "Br1-", 0.14276557], + ["Br1-", "Ga2+", 0.14276557], + ["Ga2+", "Br1+", -0.0455264178], + ["Br1+", "Ga2+", -0.0455264178], + ["Ga2+", "Rb1+", 0.2881273799], + ["Rb1+", "Ga2+", 0.2881273799], + ["Ga2+", "Y1+", -0.0437282483], + ["Y1+", "Ga2+", -0.0437282483], + ["Ga2+", "Zr1+", 0.2485391602], + ["Zr1+", "Ga2+", 0.2485391602], + ["Ga2+", "Nb1+", 0.3204301105], + ["Nb1+", "Ga2+", 0.3204301105], + ["Ga2+", "Tc1-", 0.1705823669], + ["Tc1-", "Ga2+", 0.1705823669], + ["Ga2+", "Tc1+", 0.3825023022], + ["Tc1+", "Ga2+", 0.3825023022], + ["Ga2+", "Rh1+", 0.2991224291], + ["Rh1+", "Ga2+", 0.2991224291], + ["Ga2+", "Ag1+", 0.4045555628], + ["Ag1+", "Ga2+", 0.4045555628], + ["Ga2+", "In1+", 0.3665396964], + ["In1+", "Ga2+", 0.3665396964], + ["Ga2+", "Sb1-", 0.1966395917], + ["Sb1-", "Ga2+", 0.1966395917], + ["Ga2+", "Sb1+", 0.0972542562], + ["Sb1+", "Ga2+", 0.0972542562], + ["Ga2+", "Te1-", 0.0924286746], + ["Te1-", "Ga2+", 0.0924286746], + ["Ga2+", "Te1+", 0.2842993569], + ["Te1+", "Ga2+", 0.2842993569], + ["Ga2+", "I1-", 0.1466471713], + ["I1-", "Ga2+", 0.1466471713], + ["Ga2+", "I1+", -0.0118333343], + ["I1+", "Ga2+", -0.0118333343], + ["Ga2+", "Cs1+", 0.3607582797], + ["Cs1+", "Ga2+", 0.3607582797], + ["Ga2+", "La1+", 0.2587311], + ["La1+", "Ga2+", 0.2587311], + ["Ga2+", "Tb1+", 0.240410045], + ["Tb1+", "Ga2+", 0.240410045], + ["Ga2+", "Ta1+", 0.3331385338], + ["Ta1+", "Ga2+", 0.3331385338], + ["Ga2+", "Os1-", 0.1823147051], + ["Os1-", "Ga2+", 0.1823147051], + ["Ga2+", "Os1+", 0.1661232257], + ["Os1+", "Ga2+", 0.1661232257], + ["Ga2+", "Pt1-", 0.1904925994], + ["Pt1-", "Ga2+", 0.1904925994], + ["Ga2+", "Pt1+", 0.2384814469], + ["Pt1+", "Ga2+", 0.2384814469], + ["Ga2+", "Au1-", -0.0747609612], + ["Au1-", "Ga2+", -0.0747609612], + ["Ga2+", "Au1+", 0.2726423738], + ["Au1+", "Ga2+", 0.2726423738], + ["Ga2+", "Hg1+", 0.2062541002], + ["Hg1+", "Ga2+", 0.2062541002], + ["Ga2+", "Tl1+", 0.3309985324], + ["Tl1+", "Ga2+", 0.3309985324], + ["Ga2+", "Bi1+", 0.4730137237], + ["Bi1+", "Ga2+", 0.4730137237], + ["Ge4-", "Ge4-", 1.0], + ["Ge4-", "Ge4+", 0.0078033647], + ["Ge4+", "Ge4-", 0.0078033647], + ["Ge4-", "Ge2-", 0.7390539394], + ["Ge2-", "Ge4-", 0.7390539394], + ["Ge4-", "Ge2+", 0.1120518517], + ["Ge2+", "Ge4-", 0.1120518517], + ["Ge4-", "Ge3+", -0.0101778848], + ["Ge3+", "Ge4-", -0.0101778848], + ["Ge4-", "As2-", 0.1933526206], + ["As2-", "Ge4-", 0.1933526206], + ["Ge4-", "As3+", -0.1210024595], + ["As3+", "Ge4-", -0.1210024595], + ["Ge4-", "As5+", -0.2130533134], + ["As5+", "Ge4-", -0.2130533134], + ["Ge4-", "As3-", 0.3155663672], + ["As3-", "Ge4-", 0.3155663672], + ["Ge4-", "As2+", -0.06500339], + ["As2+", "Ge4-", -0.06500339], + ["Ge4-", "As4+", -0.0564046522], + ["As4+", "Ge4-", -0.0564046522], + ["Ge4-", "Se2-", 0.3903987853], + ["Se2-", "Ge4-", 0.3903987853], + ["Ge4-", "Se4+", -0.1537662932], + ["Se4+", "Ge4-", -0.1537662932], + ["Ge4-", "Se6+", -0.1159885969], + ["Se6+", "Ge4-", -0.1159885969], + ["Ge4-", "Se5+", 0.0328622964], + ["Se5+", "Ge4-", 0.0328622964], + ["Ge4-", "Se2+", -0.0799432757], + ["Se2+", "Ge4-", -0.0799432757], + ["Ge4-", "Se3+", -0.0378549082], + ["Se3+", "Ge4-", -0.0378549082], + ["Ge4-", "Br2+", 0.072007662], + ["Br2+", "Ge4-", 0.072007662], + ["Ge4-", "Br5+", -0.0426953998], + ["Br5+", "Ge4-", -0.0426953998], + ["Ge4-", "Br3+", -0.008312793], + ["Br3+", "Ge4-", -0.008312793], + ["Ge4-", "Sr2+", 0.0429958028], + ["Sr2+", "Ge4-", 0.0429958028], + ["Ge4-", "Y3+", 0.0855714196], + ["Y3+", "Ge4-", 0.0855714196], + ["Ge4-", "Y2+", 0.0170561803], + ["Y2+", "Ge4-", 0.0170561803], + ["Ge4-", "Zr2+", 0.0393925743], + ["Zr2+", "Ge4-", 0.0393925743], + ["Ge4-", "Zr4+", -0.0997459187], + ["Zr4+", "Ge4-", -0.0997459187], + ["Ge4-", "Zr3+", 0.0844211651], + ["Zr3+", "Ge4-", 0.0844211651], + ["Ge4-", "Nb5+", -0.0272870879], + ["Nb5+", "Ge4-", -0.0272870879], + ["Ge4-", "Nb3+", 0.2378103066], + ["Nb3+", "Ge4-", 0.2378103066], + ["Ge4-", "Nb4+", -0.066421144], + ["Nb4+", "Ge4-", -0.066421144], + ["Ge4-", "Nb2+", 0.2780801516], + ["Nb2+", "Ge4-", 0.2780801516], + ["Ge4-", "Nb7+", 0.0008385386], + ["Nb7+", "Ge4-", 0.0008385386], + ["Ge4-", "Mo3+", 0.1364947711], + ["Mo3+", "Ge4-", 0.1364947711], + ["Ge4-", "Mo4+", 0.20134097], + ["Mo4+", "Ge4-", 0.20134097], + ["Ge4-", "Mo6+", -0.0958487677], + ["Mo6+", "Ge4-", -0.0958487677], + ["Ge4-", "Mo5+", -0.2701142275], + ["Mo5+", "Ge4-", -0.2701142275], + ["Ge4-", "Mo2+", 0.044336038], + ["Mo2+", "Ge4-", 0.044336038], + ["Ge4-", "Tc4+", -0.111911934], + ["Tc4+", "Ge4-", -0.111911934], + ["Ge4-", "Tc3-", 0.1054418922], + ["Tc3-", "Ge4-", 0.1054418922], + ["Ge4-", "Tc3+", -0.0232079701], + ["Tc3+", "Ge4-", -0.0232079701], + ["Ge4-", "Tc7+", 0.0822619649], + ["Tc7+", "Ge4-", 0.0822619649], + ["Ge4-", "Tc5+", -0.0404017857], + ["Tc5+", "Ge4-", -0.0404017857], + ["Ge4-", "Tc6+", -0.16054163], + ["Tc6+", "Ge4-", -0.16054163], + ["Ge4-", "Tc2-", 0.2407898021], + ["Tc2-", "Ge4-", 0.2407898021], + ["Ge4-", "Tc2+", 0.0548203194], + ["Tc2+", "Ge4-", 0.0548203194], + ["Ge4-", "Ru2+", 0.2261426019], + ["Ru2+", "Ge4-", 0.2261426019], + ["Ge4-", "Ru6+", 0.0057334732], + ["Ru6+", "Ge4-", 0.0057334732], + ["Ge4-", "Ru4+", 0.0032843449], + ["Ru4+", "Ge4-", 0.0032843449], + ["Ge4-", "Ru5+", 0.2803571817], + ["Ru5+", "Ge4-", 0.2803571817], + ["Ge4-", "Ru3+", -0.0280759128], + ["Ru3+", "Ge4-", -0.0280759128], + ["Ge4-", "Rh4+", -0.1466937486], + ["Rh4+", "Ge4-", -0.1466937486], + ["Ge4-", "Rh3+", 0.3026597025], + ["Rh3+", "Ge4-", 0.3026597025], + ["Ge4-", "Pd2+", 0.3843566334], + ["Pd2+", "Ge4-", 0.3843566334], + ["Ge4-", "Pd4+", -0.0822274063], + ["Pd4+", "Ge4-", -0.0822274063], + ["Ge4-", "Pd3+", 0.2950275111], + ["Pd3+", "Ge4-", 0.2950275111], + ["Ge4-", "Ag3+", -0.0124895133], + ["Ag3+", "Ge4-", -0.0124895133], + ["Ge4-", "Ag2+", -0.1166538558], + ["Ag2+", "Ge4-", -0.1166538558], + ["Ge4-", "Cd2+", 0.0191663393], + ["Cd2+", "Ge4-", 0.0191663393], + ["Ge4-", "In3+", 0.0460837597], + ["In3+", "Ge4-", 0.0460837597], + ["Ge4-", "In2+", 0.048923249], + ["In2+", "Ge4-", 0.048923249], + ["Ge4-", "Sn4+", -0.1856057258], + ["Sn4+", "Ge4-", -0.1856057258], + ["Ge4-", "Sn3+", -0.0201603014], + ["Sn3+", "Ge4-", -0.0201603014], + ["Ge4-", "Sn2+", -0.0366035822], + ["Sn2+", "Ge4-", -0.0366035822], + ["Ge4-", "Sb5+", -0.185642146], + ["Sb5+", "Ge4-", -0.185642146], + ["Ge4-", "Sb2-", 0.1910377885], + ["Sb2-", "Ge4-", 0.1910377885], + ["Ge4-", "Sb3-", 0.3425553858], + ["Sb3-", "Ge4-", 0.3425553858], + ["Ge4-", "Sb3+", -0.2172763013], + ["Sb3+", "Ge4-", -0.2172763013], + ["Ge4-", "Sb4+", -0.1353418692], + ["Sb4+", "Ge4-", -0.1353418692], + ["Ge4-", "Te2-", 0.2904325355], + ["Te2-", "Ge4-", 0.2904325355], + ["Ge4-", "Te4+", -0.2206714383], + ["Te4+", "Ge4-", -0.2206714383], + ["Ge4-", "Te6+", -0.1090824963], + ["Te6+", "Ge4-", -0.1090824963], + ["Ge4-", "Te2+", 0.0347739773], + ["Te2+", "Ge4-", 0.0347739773], + ["Ge4-", "Te5+", -0.0771459955], + ["Te5+", "Ge4-", -0.0771459955], + ["Ge4-", "I3+", -0.0979387829], + ["I3+", "Ge4-", -0.0979387829], + ["Ge4-", "I7+", 0.0535894896], + ["I7+", "Ge4-", 0.0535894896], + ["Ge4-", "I5+", -0.1124765836], + ["I5+", "Ge4-", -0.1124765836], + ["Ge4-", "I2+", 0.1696774997], + ["I2+", "Ge4-", 0.1696774997], + ["Ge4-", "Ba2+", -0.0629421058], + ["Ba2+", "Ge4-", -0.0629421058], + ["Ge4-", "La3+", 0.0259034278], + ["La3+", "Ge4-", 0.0259034278], + ["Ge4-", "La2+", 0.2776117627], + ["La2+", "Ge4-", 0.2776117627], + ["Ge4-", "Ce3+", 0.2738891626], + ["Ce3+", "Ge4-", 0.2738891626], + ["Ge4-", "Ce2+", 0.3188403165], + ["Ce2+", "Ge4-", 0.3188403165], + ["Ge4-", "Ce4+", 0.1055977078], + ["Ce4+", "Ge4-", 0.1055977078], + ["Ge4-", "Pr3+", 0.097750915], + ["Pr3+", "Ge4-", 0.097750915], + ["Ge4-", "Pr4+", 0.0671169026], + ["Pr4+", "Ge4-", 0.0671169026], + ["Ge4-", "Pr2+", -0.1379588427], + ["Pr2+", "Ge4-", -0.1379588427], + ["Ge4-", "Nd3+", -0.109385293], + ["Nd3+", "Ge4-", -0.109385293], + ["Ge4-", "Nd2+", 0.3200302846], + ["Nd2+", "Ge4-", 0.3200302846], + ["Ge4-", "Pm3+", -0.0091705366], + ["Pm3+", "Ge4-", -0.0091705366], + ["Ge4-", "Sm3+", -0.0949195907], + ["Sm3+", "Ge4-", -0.0949195907], + ["Ge4-", "Sm2+", 0.3308399764], + ["Sm2+", "Ge4-", 0.3308399764], + ["Ge4-", "Eu2+", 0.2618906517], + ["Eu2+", "Ge4-", 0.2618906517], + ["Ge4-", "Eu3+", 0.1822999206], + ["Eu3+", "Ge4-", 0.1822999206], + ["Ge4-", "Gd2+", -0.0460452043], + ["Gd2+", "Ge4-", -0.0460452043], + ["Ge4-", "Gd3+", 0.0110717509], + ["Gd3+", "Ge4-", 0.0110717509], + ["Ge4-", "Tb3+", -0.137350153], + ["Tb3+", "Ge4-", -0.137350153], + ["Ge4-", "Tb2+", 0.2599441068], + ["Tb2+", "Ge4-", 0.2599441068], + ["Ge4-", "Tb4+", 0.2071429021], + ["Tb4+", "Ge4-", 0.2071429021], + ["Ge4-", "Dy3+", -0.0098205185], + ["Dy3+", "Ge4-", -0.0098205185], + ["Ge4-", "Dy2+", 0.3373630063], + ["Dy2+", "Ge4-", 0.3373630063], + ["Ge4-", "Ho3+", -0.0135582024], + ["Ho3+", "Ge4-", -0.0135582024], + ["Ge4-", "Ho2+", 0.3267647661], + ["Ho2+", "Ge4-", 0.3267647661], + ["Ge4-", "Er3+", 0.2462773526], + ["Er3+", "Ge4-", 0.2462773526], + ["Ge4-", "Tm3+", 0.0087704475], + ["Tm3+", "Ge4-", 0.0087704475], + ["Ge4-", "Tm2+", 0.3148658352], + ["Tm2+", "Ge4-", 0.3148658352], + ["Ge4-", "Yb3+", 0.1993407781], + ["Yb3+", "Ge4-", 0.1993407781], + ["Ge4-", "Yb2+", 0.1741271101], + ["Yb2+", "Ge4-", 0.1741271101], + ["Ge4-", "Lu3+", 0.215547098], + ["Lu3+", "Ge4-", 0.215547098], + ["Ge4-", "Hf3+", -0.1098913271], + ["Hf3+", "Ge4-", -0.1098913271], + ["Ge4-", "Hf2+", -0.0472754841], + ["Hf2+", "Ge4-", -0.0472754841], + ["Ge4-", "Hf4+", 0.2482518316], + ["Hf4+", "Ge4-", 0.2482518316], + ["Ge4-", "Ta5+", -0.0314520803], + ["Ta5+", "Ge4-", -0.0314520803], + ["Ge4-", "Ta3+", -0.0655092862], + ["Ta3+", "Ge4-", -0.0655092862], + ["Ge4-", "Ta4+", 0.0310780208], + ["Ta4+", "Ge4-", 0.0310780208], + ["Ge4-", "Ta2+", 0.163958838], + ["Ta2+", "Ge4-", 0.163958838], + ["Ge4-", "W6+", -0.0568068526], + ["W6+", "Ge4-", -0.0568068526], + ["Ge4-", "W4+", 0.0464775827], + ["W4+", "Ge4-", 0.0464775827], + ["Ge4-", "W2+", -0.0353421757], + ["W2+", "Ge4-", -0.0353421757], + ["Ge4-", "W3+", -0.0359608432], + ["W3+", "Ge4-", -0.0359608432], + ["Ge4-", "W5+", -0.2362893697], + ["W5+", "Ge4-", -0.2362893697], + ["Ge4-", "Re5+", 0.1113155517], + ["Re5+", "Ge4-", 0.1113155517], + ["Ge4-", "Re3+", -0.017464847], + ["Re3+", "Ge4-", -0.017464847], + ["Ge4-", "Re6+", -0.0365223528], + ["Re6+", "Ge4-", -0.0365223528], + ["Ge4-", "Re2+", -0.0483563158], + ["Re2+", "Ge4-", -0.0483563158], + ["Ge4-", "Re4+", 0.0099460145], + ["Re4+", "Ge4-", 0.0099460145], + ["Ge4-", "Re7+", -0.0608956229], + ["Re7+", "Ge4-", -0.0608956229], + ["Ge4-", "Os7+", -0.0353883273], + ["Os7+", "Ge4-", -0.0353883273], + ["Ge4-", "Os6+", 0.0161614089], + ["Os6+", "Ge4-", 0.0161614089], + ["Ge4-", "Os5+", -0.0990216265], + ["Os5+", "Ge4-", -0.0990216265], + ["Ge4-", "Os2-", 0.0515050793], + ["Os2-", "Ge4-", 0.0515050793], + ["Ge4-", "Os3+", 0.0900992304], + ["Os3+", "Ge4-", 0.0900992304], + ["Ge4-", "Os4+", 0.0072787209], + ["Os4+", "Ge4-", 0.0072787209], + ["Ge4-", "Os8+", -0.0283963288], + ["Os8+", "Ge4-", -0.0283963288], + ["Ge4-", "Os2+", -0.0419180305], + ["Os2+", "Ge4-", -0.0419180305], + ["Ge4-", "Ir3+", 0.2486328148], + ["Ir3+", "Ge4-", 0.2486328148], + ["Ge4-", "Ir4+", -0.1292053917], + ["Ir4+", "Ge4-", -0.1292053917], + ["Ge4-", "Ir5+", -0.1653231536], + ["Ir5+", "Ge4-", -0.1653231536], + ["Ge4-", "Ir6+", -0.220759963], + ["Ir6+", "Ge4-", -0.220759963], + ["Ge4-", "Pt2+", 0.0663165562], + ["Pt2+", "Ge4-", 0.0663165562], + ["Ge4-", "Pt2-", 0.1510371474], + ["Pt2-", "Ge4-", 0.1510371474], + ["Ge4-", "Pt4+", -0.1121425734], + ["Pt4+", "Ge4-", -0.1121425734], + ["Ge4-", "Pt3+", 0.0003592839], + ["Pt3+", "Ge4-", 0.0003592839], + ["Ge4-", "Pt5+", -0.0521448884], + ["Pt5+", "Ge4-", -0.0521448884], + ["Ge4-", "Pt6+", -0.1083611398], + ["Pt6+", "Ge4-", -0.1083611398], + ["Ge4-", "Au2+", 0.0273623722], + ["Au2+", "Ge4-", 0.0273623722], + ["Ge4-", "Au3+", -0.1459032921], + ["Au3+", "Ge4-", -0.1459032921], + ["Ge4-", "Au5+", -0.1368860471], + ["Au5+", "Ge4-", -0.1368860471], + ["Ge4-", "Au4+", -0.0750849069], + ["Au4+", "Ge4-", -0.0750849069], + ["Ge4-", "Hg2+", -0.1221345927], + ["Hg2+", "Ge4-", -0.1221345927], + ["Ge4-", "Tl3+", -0.0412835366], + ["Tl3+", "Ge4-", -0.0412835366], + ["Ge4-", "Tl2+", -0.0443771034], + ["Tl2+", "Ge4-", -0.0443771034], + ["Ge4-", "Pb2+", 0.0238646438], + ["Pb2+", "Ge4-", 0.0238646438], + ["Ge4-", "Pb3+", -0.1904489341], + ["Pb3+", "Ge4-", -0.1904489341], + ["Ge4-", "Pb4+", -0.1821559791], + ["Pb4+", "Ge4-", -0.1821559791], + ["Ge4-", "Bi3+", -0.0517043884], + ["Bi3+", "Ge4-", -0.0517043884], + ["Ge4-", "Bi5+", -0.1658822135], + ["Bi5+", "Ge4-", -0.1658822135], + ["Ge4-", "Bi2+", -0.1216244272], + ["Bi2+", "Ge4-", -0.1216244272], + ["Ge4-", "Bi3-", 0.7009947502], + ["Bi3-", "Ge4-", 0.7009947502], + ["Ge4-", "Bi4+", 0.0295022755], + ["Bi4+", "Ge4-", 0.0295022755], + ["Ge4-", "Ac3+", 0.0007699598], + ["Ac3+", "Ge4-", 0.0007699598], + ["Ge4-", "Th4+", 0.0740784456], + ["Th4+", "Ge4-", 0.0740784456], + ["Ge4-", "Th3+", -0.0739603364], + ["Th3+", "Ge4-", -0.0739603364], + ["Ge4-", "Pa4+", -0.1606708724], + ["Pa4+", "Ge4-", -0.1606708724], + 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0.0615136779], + ["As4+", "Te1+", -0.0910626794], + ["Te1+", "As4+", -0.0910626794], + ["As4+", "I1-", -0.0132581119], + ["I1-", "As4+", -0.0132581119], + ["As4+", "I1+", 0.1032286982], + ["I1+", "As4+", 0.1032286982], + ["As4+", "Cs1+", 0.2201072519], + ["Cs1+", "As4+", 0.2201072519], + ["As4+", "La1+", -0.0608975973], + ["La1+", "As4+", -0.0608975973], + ["As4+", "Tb1+", -0.1876769264], + ["Tb1+", "As4+", -0.1876769264], + ["As4+", "Ta1+", -0.1377132056], + ["Ta1+", "As4+", -0.1377132056], + ["As4+", "Os1-", -0.1071554161], + ["Os1-", "As4+", -0.1071554161], + ["As4+", "Os1+", -0.0387440644], + ["Os1+", "As4+", -0.0387440644], + ["As4+", "Pt1-", -0.0687203406], + ["Pt1-", "As4+", -0.0687203406], + ["As4+", "Pt1+", 0.038467886], + ["Pt1+", "As4+", 0.038467886], + ["As4+", "Au1-", -0.0817542503], + ["Au1-", "As4+", -0.0817542503], + ["As4+", "Au1+", -0.0908686726], + ["Au1+", "As4+", -0.0908686726], + ["As4+", "Hg1+", 0.2349381465], + ["Hg1+", "As4+", 0.2349381465], + ["As4+", "Tl1+", 0.2258833073], + ["Tl1+", "As4+", 0.2258833073], + ["As4+", "Bi1+", -0.0096511433], + ["Bi1+", "As4+", -0.0096511433], + ["Se2-", "Se2-", 1.0], + ["Se2-", "Se4+", -0.0366050446], + ["Se4+", "Se2-", -0.0366050446], + ["Se2-", "Se6+", 0.0461399247], + ["Se6+", "Se2-", 0.0461399247], + ["Se2-", "Se5+", 0.0933709261], + ["Se5+", "Se2-", 0.0933709261], + ["Se2-", "Se2+", 0.0308543432], + ["Se2+", "Se2-", 0.0308543432], + ["Se2-", "Se3+", 0.0341208065], + ["Se3+", "Se2-", 0.0341208065], + ["Se2-", "Br2+", 0.2867576261], + ["Br2+", "Se2-", 0.2867576261], + ["Se2-", "Br5+", 0.0278492553], + ["Br5+", "Se2-", 0.0278492553], + ["Se2-", "Br3+", 0.0653356982], + ["Br3+", "Se2-", 0.0653356982], + ["Se2-", "Sr2+", -0.0834309365], + ["Sr2+", "Se2-", -0.0834309365], + ["Se2-", "Y3+", 0.1055342579], + ["Y3+", "Se2-", 0.1055342579], + ["Se2-", "Y2+", 0.0444187951], + ["Y2+", "Se2-", 0.0444187951], + ["Se2-", "Zr2+", -0.0868378137], + ["Zr2+", "Se2-", -0.0868378137], + ["Se2-", "Zr4+", -0.022102243], + ["Zr4+", "Se2-", -0.022102243], + ["Se2-", "Zr3+", -0.0512756435], + ["Zr3+", "Se2-", -0.0512756435], + ["Se2-", "Nb5+", 0.09910552], + ["Nb5+", "Se2-", 0.09910552], + ["Se2-", "Nb3+", 0.1074924328], + ["Nb3+", "Se2-", 0.1074924328], + ["Se2-", "Nb4+", 0.0544052611], + ["Nb4+", "Se2-", 0.0544052611], + ["Se2-", "Nb2+", 0.0068429346], + ["Nb2+", "Se2-", 0.0068429346], + ["Se2-", "Nb7+", 0.0105808429], + ["Nb7+", "Se2-", 0.0105808429], + ["Se2-", "Mo3+", 0.191433522], + ["Mo3+", "Se2-", 0.191433522], + ["Se2-", "Mo4+", 0.2235485999], + ["Mo4+", "Se2-", 0.2235485999], + ["Se2-", "Mo6+", -0.0154884518], + ["Mo6+", "Se2-", -0.0154884518], + ["Se2-", "Mo5+", -0.120195947], + ["Mo5+", "Se2-", -0.120195947], + ["Se2-", "Mo2+", 0.0871668576], + ["Mo2+", "Se2-", 0.0871668576], + ["Se2-", "Tc4+", 0.0322017732], + ["Tc4+", "Se2-", 0.0322017732], + ["Se2-", "Tc3-", 0.329160504], + ["Tc3-", "Se2-", 0.329160504], + ["Se2-", "Tc3+", 0.2234320795], + ["Tc3+", "Se2-", 0.2234320795], + ["Se2-", "Tc7+", 0.0568729918], + ["Tc7+", "Se2-", 0.0568729918], + ["Se2-", "Tc5+", 0.0146639913], + ["Tc5+", "Se2-", 0.0146639913], + ["Se2-", "Tc6+", -0.0140536128], + ["Tc6+", "Se2-", -0.0140536128], + ["Se2-", "Tc2-", 0.2856482534], + ["Tc2-", "Se2-", 0.2856482534], + ["Se2-", "Tc2+", 0.1650052907], + ["Tc2+", "Se2-", 0.1650052907], + ["Se2-", "Ru2+", -0.0904911818], + ["Ru2+", "Se2-", -0.0904911818], + ["Se2-", "Ru6+", -0.0205050523], + ["Ru6+", "Se2-", -0.0205050523], + ["Se2-", "Ru4+", 0.0324963072], + ["Ru4+", "Se2-", 0.0324963072], + ["Se2-", "Ru5+", 0.1245584294], + ["Ru5+", "Se2-", 0.1245584294], + ["Se2-", "Ru3+", -0.173216954], + ["Ru3+", "Se2-", -0.173216954], + ["Se2-", "Rh4+", 0.1219905683], + ["Rh4+", "Se2-", 0.1219905683], + ["Se2-", "Rh3+", 0.1906034552], + ["Rh3+", "Se2-", 0.1906034552], + ["Se2-", "Pd2+", 0.2661121554], + ["Pd2+", "Se2-", 0.2661121554], + ["Se2-", "Pd4+", 0.0840768171], + ["Pd4+", "Se2-", 0.0840768171], + ["Se2-", "Pd3+", 0.005902806], + ["Pd3+", "Se2-", 0.005902806], + ["Se2-", "Ag3+", 0.1583214848], + ["Ag3+", "Se2-", 0.1583214848], + ["Se2-", "Ag2+", 0.0253070189], + ["Ag2+", "Se2-", 0.0253070189], + ["Se2-", "Cd2+", 0.0869780022], + ["Cd2+", "Se2-", 0.0869780022], + ["Se2-", "In3+", 0.1592518099], + ["In3+", "Se2-", 0.1592518099], + ["Se2-", "In2+", 0.1195256162], + ["In2+", "Se2-", 0.1195256162], + ["Se2-", "Sn4+", 0.1417609333], + ["Sn4+", "Se2-", 0.1417609333], + ["Se2-", "Sn3+", -0.0397525426], + ["Sn3+", "Se2-", -0.0397525426], + ["Se2-", "Sn2+", 0.0965068339], + ["Sn2+", "Se2-", 0.0965068339], + ["Se2-", "Sb5+", 0.0417806239], + ["Sb5+", "Se2-", 0.0417806239], + ["Se2-", "Sb2-", 0.2610723584], + ["Sb2-", "Se2-", 0.2610723584], + ["Se2-", "Sb3-", 0.3092993726], + ["Sb3-", "Se2-", 0.3092993726], + ["Se2-", "Sb3+", 0.2386166672], + ["Sb3+", "Se2-", 0.2386166672], + ["Se2-", "Sb4+", 0.0853820926], + ["Sb4+", "Se2-", 0.0853820926], + ["Se2-", "Te2-", 0.6181273092], + ["Te2-", "Se2-", 0.6181273092], + ["Se2-", "Te4+", 0.0503165323], + ["Te4+", "Se2-", 0.0503165323], + ["Se2-", "Te6+", -0.0277911205], + ["Te6+", "Se2-", -0.0277911205], + ["Se2-", "Te2+", 0.1410575564], + ["Te2+", "Se2-", 0.1410575564], + ["Se2-", "Te5+", 0.1002785395], + ["Te5+", "Se2-", 0.1002785395], + ["Se2-", "I3+", 0.0467020895], + ["I3+", "Se2-", 0.0467020895], + ["Se2-", "I7+", 0.0700915266], + ["I7+", "Se2-", 0.0700915266], + ["Se2-", "I5+", 0.0118884411], + ["I5+", "Se2-", 0.0118884411], + ["Se2-", "I2+", 0.3898164405], + ["I2+", "Se2-", 0.3898164405], + ["Se2-", "Ba2+", 0.0821474639], + ["Ba2+", "Se2-", 0.0821474639], + ["Se2-", "La3+", 0.0787247645], + ["La3+", "Se2-", 0.0787247645], + ["Se2-", "La2+", 0.0179663771], + ["La2+", "Se2-", 0.0179663771], + ["Se2-", "Ce3+", 0.2229579848], + ["Ce3+", "Se2-", 0.2229579848], + ["Se2-", "Ce2+", 0.0657325098], + ["Ce2+", "Se2-", 0.0657325098], + ["Se2-", "Ce4+", 0.1995276878], + ["Ce4+", "Se2-", 0.1995276878], + ["Se2-", "Pr3+", 0.0517261089], + ["Pr3+", "Se2-", 0.0517261089], + ["Se2-", "Pr4+", 0.1194095069], + ["Pr4+", "Se2-", 0.1194095069], + ["Se2-", "Pr2+", -0.051117366], + ["Pr2+", "Se2-", -0.051117366], + ["Se2-", "Nd3+", 0.0322618796], + ["Nd3+", "Se2-", 0.0322618796], + ["Se2-", "Nd2+", 0.0432820906], + ["Nd2+", "Se2-", 0.0432820906], + ["Se2-", "Pm3+", 0.2057687522], + ["Pm3+", "Se2-", 0.2057687522], + ["Se2-", "Sm3+", 0.0079808914], + ["Sm3+", "Se2-", 0.0079808914], + ["Se2-", "Sm2+", 0.0463303313], + ["Sm2+", "Se2-", 0.0463303313], + ["Se2-", "Eu2+", 0.1263722638], + ["Eu2+", "Se2-", 0.1263722638], + ["Se2-", "Eu3+", 0.1160411508], + ["Eu3+", "Se2-", 0.1160411508], + ["Se2-", "Gd2+", -0.1796482257], + ["Gd2+", "Se2-", -0.1796482257], + ["Se2-", "Gd3+", -0.0437278932], + ["Gd3+", "Se2-", -0.0437278932], + ["Se2-", "Tb3+", 0.0735265503], + ["Tb3+", "Se2-", 0.0735265503], + ["Se2-", "Tb2+", -0.0609711774], + ["Tb2+", "Se2-", -0.0609711774], + ["Se2-", "Tb4+", 0.1194829125], + ["Tb4+", "Se2-", 0.1194829125], + ["Se2-", "Dy3+", 0.0050846699], + ["Dy3+", "Se2-", 0.0050846699], + ["Se2-", "Dy2+", -0.018089087], + ["Dy2+", "Se2-", -0.018089087], + ["Se2-", "Ho3+", 0.0320138392], + ["Ho3+", "Se2-", 0.0320138392], + ["Se2-", "Ho2+", -0.1343071321], + ["Ho2+", "Se2-", -0.1343071321], + ["Se2-", "Er3+", 0.171033175], + ["Er3+", "Se2-", 0.171033175], + ["Se2-", "Tm3+", 0.1163173431], + ["Tm3+", "Se2-", 0.1163173431], + ["Se2-", "Tm2+", 0.0495831135], + ["Tm2+", "Se2-", 0.0495831135], + ["Se2-", "Yb3+", 0.1810886879], + ["Yb3+", "Se2-", 0.1810886879], + ["Se2-", "Yb2+", 0.1164048429], + ["Yb2+", "Se2-", 0.1164048429], + ["Se2-", "Lu3+", 0.2022383589], + ["Lu3+", "Se2-", 0.2022383589], + ["Se2-", "Hf3+", -0.1274023957], + ["Hf3+", "Se2-", -0.1274023957], + ["Se2-", "Hf2+", -0.157444762], + ["Hf2+", "Se2-", -0.157444762], + ["Se2-", "Hf4+", 0.0435370469], + ["Hf4+", "Se2-", 0.0435370469], + ["Se2-", "Ta5+", 0.0688795772], + ["Ta5+", "Se2-", 0.0688795772], + ["Se2-", "Ta3+", 0.0370605564], + ["Ta3+", "Se2-", 0.0370605564], + ["Se2-", "Ta4+", 0.1944800888], + ["Ta4+", "Se2-", 0.1944800888], + ["Se2-", "Ta2+", 0.0929295439], + ["Ta2+", "Se2-", 0.0929295439], + ["Se2-", "W6+", 0.0672300348], + ["W6+", "Se2-", 0.0672300348], + ["Se2-", "W4+", 0.0459849637], + ["W4+", "Se2-", 0.0459849637], + ["Se2-", "W2+", 0.0754093588], + ["W2+", "Se2-", 0.0754093588], + ["Se2-", "W3+", -0.0135489575], + ["W3+", "Se2-", -0.0135489575], + ["Se2-", "W5+", 0.0443079803], + ["W5+", "Se2-", 0.0443079803], + ["Se2-", "Re5+", 0.1217010424], + ["Re5+", "Se2-", 0.1217010424], + ["Se2-", "Re3+", 0.0849617498], + ["Re3+", "Se2-", 0.0849617498], + ["Se2-", "Re6+", 0.1663488876], + ["Re6+", "Se2-", 0.1663488876], + ["Se2-", "Re2+", 0.057303986], + ["Re2+", "Se2-", 0.057303986], + ["Se2-", "Re4+", -0.003863529], + ["Re4+", "Se2-", -0.003863529], + ["Se2-", "Re7+", 0.1122820203], + ["Re7+", "Se2-", 0.1122820203], + ["Se2-", "Os7+", 0.0273661512], + ["Os7+", "Se2-", 0.0273661512], + ["Se2-", "Os6+", 0.0205295535], + ["Os6+", "Se2-", 0.0205295535], + ["Se2-", "Os5+", 0.0684124138], + ["Os5+", "Se2-", 0.0684124138], + ["Se2-", "Os2-", 0.0845282847], + ["Os2-", "Se2-", 0.0845282847], + ["Se2-", "Os3+", -0.0240925995], + ["Os3+", "Se2-", -0.0240925995], + ["Se2-", "Os4+", 0.116086479], + ["Os4+", "Se2-", 0.116086479], + ["Se2-", "Os8+", 0.1133186229], + ["Os8+", "Se2-", 0.1133186229], + ["Se2-", "Os2+", 0.0034247228], + ["Os2+", "Se2-", 0.0034247228], + ["Se2-", "Ir3+", -0.0522030418], + ["Ir3+", "Se2-", -0.0522030418], + ["Se2-", "Ir4+", 0.1861383074], + ["Ir4+", "Se2-", 0.1861383074], + ["Se2-", "Ir5+", 0.0184231253], + ["Ir5+", "Se2-", 0.0184231253], + ["Se2-", "Ir6+", 0.2075318505], + ["Ir6+", "Se2-", 0.2075318505], + ["Se2-", "Pt2+", 0.1316619587], + ["Pt2+", "Se2-", 0.1316619587], + ["Se2-", "Pt2-", 0.3059941133], + ["Pt2-", "Se2-", 0.3059941133], + ["Se2-", "Pt4+", -0.0151430715], + ["Pt4+", "Se2-", -0.0151430715], + ["Se2-", "Pt3+", -0.0114601141], + ["Pt3+", "Se2-", -0.0114601141], + ["Se2-", "Pt5+", 0.0580167905], + ["Pt5+", "Se2-", 0.0580167905], + ["Se2-", "Pt6+", 0.0616719332], + ["Pt6+", "Se2-", 0.0616719332], + ["Se2-", "Au2+", 0.2433036787], + ["Au2+", "Se2-", 0.2433036787], + ["Se2-", "Au3+", -0.0380382107], + ["Au3+", "Se2-", -0.0380382107], + ["Se2-", "Au5+", -0.041727956], + ["Au5+", "Se2-", -0.041727956], + ["Se2-", "Au4+", 0.1276537842], + ["Au4+", "Se2-", 0.1276537842], + ["Se2-", "Hg2+", 0.0944273264], + ["Hg2+", "Se2-", 0.0944273264], + ["Se2-", "Tl3+", 0.0780202126], + ["Tl3+", "Se2-", 0.0780202126], + ["Se2-", "Tl2+", 0.0182235286], + ["Tl2+", "Se2-", 0.0182235286], + ["Se2-", "Pb2+", 0.2236615143], + ["Pb2+", "Se2-", 0.2236615143], + ["Se2-", "Pb3+", 0.0140400815], + ["Pb3+", "Se2-", 0.0140400815], + ["Se2-", "Pb4+", 0.0635399426], + ["Pb4+", "Se2-", 0.0635399426], + ["Se2-", "Bi3+", 0.2338588234], + ["Bi3+", "Se2-", 0.2338588234], + ["Se2-", "Bi5+", -0.1338430867], + ["Bi5+", "Se2-", -0.1338430867], + ["Se2-", "Bi2+", 0.1441874896], + ["Bi2+", "Se2-", 0.1441874896], + ["Se2-", "Bi3-", 0.3871306858], + ["Bi3-", "Se2-", 0.3871306858], + ["Se2-", "Bi4+", 0.0606797672], + ["Bi4+", "Se2-", 0.0606797672], + ["Se2-", "Ac3+", 0.107941589], + ["Ac3+", "Se2-", 0.107941589], + ["Se2-", "Th4+", 0.1906637418], + ["Th4+", "Se2-", 0.1906637418], + ["Se2-", "Th3+", 0.1022421057], + ["Th3+", "Se2-", 0.1022421057], + ["Se2-", "Pa4+", -0.2349354369], + ["Pa4+", "Se2-", -0.2349354369], + ["Se2-", "Pa5+", -0.0376212436], + ["Pa5+", "Se2-", -0.0376212436], + ["Se2-", "Pa3+", -0.0665719104], + ["Pa3+", "Se2-", -0.0665719104], + ["Se2-", "U6+", -0.0561287124], + ["U6+", "Se2-", -0.0561287124], + ["Se2-", "U4+", 0.1317069106], + ["U4+", "Se2-", 0.1317069106], + ["Se2-", "U3+", 0.1501852233], + ["U3+", "Se2-", 0.1501852233], + ["Se2-", "U2+", 0.1023560003], + ["U2+", "Se2-", 0.1023560003], + ["Se2-", "U5+", 0.0353688428], + ["U5+", "Se2-", 0.0353688428], + ["Se2-", "Np6+", 0.0755211442], + ["Np6+", "Se2-", 0.0755211442], + ["Se2-", "Np4+", 0.0464942338], + ["Np4+", "Se2-", 0.0464942338], + ["Se2-", "Np3+", 0.1824454437], + ["Np3+", "Se2-", 0.1824454437], + ["Se2-", "Np7+", -0.0442531642], + ["Np7+", "Se2-", -0.0442531642], + ["Se2-", "Np5+", 0.0972807211], + ["Np5+", "Se2-", 0.0972807211], + ["Se2-", "Pu7+", -0.0284240214], + ["Pu7+", "Se2-", -0.0284240214], + ["Se2-", "Pu6+", -0.0540426148], + ["Pu6+", "Se2-", -0.0540426148], + ["Se2-", "Pu3+", 0.1158492577], + ["Pu3+", "Se2-", 0.1158492577], + ["Se2-", "Pu4+", 0.1765733226], + ["Pu4+", "Se2-", 0.1765733226], + ["Se2-", "Pu5+", -0.1552067884], + ["Pu5+", "Se2-", -0.1552067884], + ["Se2-", "H1+", 0.0136973278], + ["H1+", "Se2-", 0.0136973278], + ["Se2-", "H1-", 0.3002277236], + ["H1-", "Se2-", 0.3002277236], + ["Se2-", "Li1+", 0.0438536667], + ["Li1+", "Se2-", 0.0438536667], + ["Se2-", "B1+", -0.0175622485], + ["B1+", "Se2-", -0.0175622485], + ["Se2-", "B1-", 0.2916773521], + ["B1-", "Se2-", 0.2916773521], + ["Se2-", "C1-", 0.2636361485], + ["C1-", "Se2-", 0.2636361485], + ["Se2-", "C1+", 0.0895118811], + ["C1+", "Se2-", 0.0895118811], + ["Se2-", "N1-", 0.2966061711], + ["N1-", "Se2-", 0.2966061711], + ["Se2-", "N1+", 0.0685341868], + ["N1+", "Se2-", 0.0685341868], + ["Se2-", "O1-", 0.3545044746], + ["O1-", "Se2-", 0.3545044746], + ["Se2-", "F1-", 0.6030688195], + ["F1-", "Se2-", 0.6030688195], + ["Se2-", "Na1+", 0.1406825731], + ["Na1+", "Se2-", 0.1406825731], + ["Se2-", "Si1-", 0.3105428787], + ["Si1-", "Se2-", 0.3105428787], + ["Se2-", "P1+", 0.1659393805], + ["P1+", "Se2-", 0.1659393805], + ["Se2-", "P1-", 0.2868405454], + ["P1-", "Se2-", 0.2868405454], + ["Se2-", "S1-", 0.3668653243], + ["S1-", "Se2-", 0.3668653243], + ["Se2-", "S1+", 0.0523139353], + ["S1+", "Se2-", 0.0523139353], + ["Se2-", "Cl1-", 0.5798093269], + ["Cl1-", "Se2-", 0.5798093269], + ["Se2-", "K1+", 0.2310156454], + ["K1+", "Se2-", 0.2310156454], + ["Se2-", "Sc1+", 0.084762202], + ["Sc1+", "Se2-", 0.084762202], + ["Se2-", "Mn1+", 0.1083853542], + ["Mn1+", "Se2-", 0.1083853542], + ["Se2-", "Fe1+", -0.2094453401], + ["Fe1+", "Se2-", -0.2094453401], + ["Se2-", "Co1+", -0.1713444216], + ["Co1+", "Se2-", -0.1713444216], + ["Se2-", "Ni1+", -0.1683811372], + ["Ni1+", "Se2-", -0.1683811372], + ["Se2-", "Cu1+", 0.2931648182], + ["Cu1+", "Se2-", 0.2931648182], + ["Se2-", "Ga1+", 0.0568397125], + ["Ga1+", "Se2-", 0.0568397125], + ["Se2-", "As1-", 0.4701247114], + ["As1-", "Se2-", 0.4701247114], + ["Se2-", "As1+", 0.2559294498], + ["As1+", "Se2-", 0.2559294498], + ["Se2-", "Se1-", 0.550991535], + ["Se1-", "Se2-", 0.550991535], + ["Se2-", "Se1+", 0.1538249803], + ["Se1+", "Se2-", 0.1538249803], + ["Se2-", "Br1-", 0.6193199469], + ["Br1-", "Se2-", 0.6193199469], + ["Se2-", "Br1+", 0.1535307628], + ["Br1+", "Se2-", 0.1535307628], + ["Se2-", "Rb1+", 0.19833181], + ["Rb1+", "Se2-", 0.19833181], + ["Se2-", "Y1+", -0.0885784169], + ["Y1+", "Se2-", -0.0885784169], + ["Se2-", "Zr1+", -0.1171111152], + ["Zr1+", "Se2-", -0.1171111152], + ["Se2-", "Nb1+", -0.08315637], + ["Nb1+", "Se2-", -0.08315637], + ["Se2-", "Tc1-", 0.1932905023], + ["Tc1-", "Se2-", 0.1932905023], + ["Se2-", "Tc1+", -0.0055302182], + ["Tc1+", "Se2-", -0.0055302182], + ["Se2-", "Rh1+", 0.0910904167], + ["Rh1+", "Se2-", 0.0910904167], + ["Se2-", "Ag1+", 0.380177029], + ["Ag1+", "Se2-", 0.380177029], + ["Se2-", "In1+", 0.2566103914], + ["In1+", "Se2-", 0.2566103914], + ["Se2-", "Sb1-", 0.3530918004], + ["Sb1-", "Se2-", 0.3530918004], + ["Se2-", "Sb1+", 0.104411053], + ["Sb1+", "Se2-", 0.104411053], + ["Se2-", "Te1-", 0.5118060364], + ["Te1-", "Se2-", 0.5118060364], + ["Se2-", "Te1+", 0.2244085134], + ["Te1+", "Se2-", 0.2244085134], + ["Se2-", "I1-", 0.5149989428], + ["I1-", "Se2-", 0.5149989428], + ["Se2-", "I1+", 0.1229980911], + ["I1+", "Se2-", 0.1229980911], + ["Se2-", "Cs1+", 0.2501966084], + ["Cs1+", "Se2-", 0.2501966084], + ["Se2-", "La1+", -0.0000594775], + ["La1+", "Se2-", -0.0000594775], + ["Se2-", "Tb1+", 0.0442355047], + ["Tb1+", "Se2-", 0.0442355047], + ["Se2-", "Ta1+", 0.0870709267], + ["Ta1+", "Se2-", 0.0870709267], + ["Se2-", "Os1-", 0.3112386036], + ["Os1-", "Se2-", 0.3112386036], + ["Se2-", "Os1+", -0.0499062579], + ["Os1+", "Se2-", -0.0499062579], + ["Se2-", "Pt1-", 0.460607518], + ["Pt1-", "Se2-", 0.460607518], + ["Se2-", "Pt1+", -0.0848162045], + ["Pt1+", "Se2-", -0.0848162045], + ["Se2-", "Au1-", 0.0922315327], + ["Au1-", "Se2-", 0.0922315327], + ["Se2-", "Au1+", 0.2674625121], + ["Au1+", "Se2-", 0.2674625121], + ["Se2-", "Hg1+", 0.1037039749], + ["Hg1+", "Se2-", 0.1037039749], + ["Se2-", "Tl1+", 0.4476319224], + ["Tl1+", "Se2-", 0.4476319224], + ["Se2-", "Bi1+", 0.1357617215], + ["Bi1+", "Se2-", 0.1357617215], + ["Se4+", "Se4+", 1.0], + ["Se4+", "Se6+", 0.5435777157], + ["Se6+", "Se4+", 0.5435777157], + ["Se4+", "Se5+", 0.6068359609], + ["Se5+", "Se4+", 0.6068359609], + ["Se4+", "Se2+", 0.307231428], + ["Se2+", "Se4+", 0.307231428], + ["Se4+", "Se3+", 0.4220195035], + ["Se3+", "Se4+", 0.4220195035], + ["Se4+", "Br2+", 0.242207308], + ["Br2+", "Se4+", 0.242207308], + ["Se4+", "Br5+", 0.5381950982], + ["Br5+", "Se4+", 0.5381950982], + ["Se4+", "Br3+", 0.459911208], + ["Br3+", "Se4+", 0.459911208], + ["Se4+", "Sr2+", 0.5106151786], + ["Sr2+", "Se4+", 0.5106151786], + ["Se4+", "Y3+", 0.3907140166], + ["Y3+", "Se4+", 0.3907140166], + ["Se4+", "Y2+", 0.4330881517], + ["Y2+", "Se4+", 0.4330881517], + ["Se4+", "Zr2+", 0.0147239543], + ["Zr2+", "Se4+", 0.0147239543], + ["Se4+", "Zr4+", 0.2540067823], + ["Zr4+", "Se4+", 0.2540067823], + ["Se4+", "Zr3+", 0.1698829538], + ["Zr3+", "Se4+", 0.1698829538], + ["Se4+", "Nb5+", 0.4886116797], + ["Nb5+", "Se4+", 0.4886116797], + ["Se4+", "Nb3+", 0.1660041475], + ["Nb3+", "Se4+", 0.1660041475], + ["Se4+", "Nb4+", 0.2125958321], + ["Nb4+", "Se4+", 0.2125958321], + ["Se4+", "Nb2+", 0.1995319592], + ["Nb2+", "Se4+", 0.1995319592], + ["Se4+", "Nb7+", 0.4542414923], + ["Nb7+", "Se4+", 0.4542414923], + ["Se4+", "Mo3+", 0.2119332433], + ["Mo3+", "Se4+", 0.2119332433], + ["Se4+", "Mo4+", 0.3267981508], + ["Mo4+", "Se4+", 0.3267981508], + ["Se4+", "Mo6+", 0.5202657089], + ["Mo6+", "Se4+", 0.5202657089], + ["Se4+", "Mo5+", 0.6141511537], + ["Mo5+", "Se4+", 0.6141511537], + ["Se4+", "Mo2+", 0.1831027241], + ["Mo2+", "Se4+", 0.1831027241], + ["Se4+", "Tc4+", 0.3890751775], + ["Tc4+", "Se4+", 0.3890751775], + ["Se4+", "Tc3-", -0.2533579364], + ["Tc3-", "Se4+", -0.2533579364], + ["Se4+", "Tc3+", 0.1015989041], + ["Tc3+", "Se4+", 0.1015989041], + ["Se4+", "Tc7+", 0.2348770727], + ["Tc7+", "Se4+", 0.2348770727], + ["Se4+", "Tc5+", 0.5252615197], + ["Tc5+", "Se4+", 0.5252615197], + ["Se4+", "Tc6+", -0.1194676396], + ["Tc6+", "Se4+", -0.1194676396], + ["Se4+", "Tc2-", -0.1834154196], + ["Tc2-", "Se4+", -0.1834154196], + ["Se4+", "Tc2+", 0.381952463], + ["Tc2+", "Se4+", 0.381952463], + ["Se4+", "Ru2+", -0.0831586811], + ["Ru2+", "Se4+", -0.0831586811], + ["Se4+", "Ru6+", 0.2902328574], + ["Ru6+", "Se4+", 0.2902328574], + ["Se4+", "Ru4+", 0.5051775603], + ["Ru4+", "Se4+", 0.5051775603], + ["Se4+", "Ru5+", 0.3262711263], + ["Ru5+", "Se4+", 0.3262711263], + ["Se4+", "Ru3+", 0.2460241042], + ["Ru3+", "Se4+", 0.2460241042], + ["Se4+", "Rh4+", 0.2171892478], + ["Rh4+", "Se4+", 0.2171892478], + ["Se4+", "Rh3+", 0.1297604184], + ["Rh3+", "Se4+", 0.1297604184], + ["Se4+", "Pd2+", -0.0027514805], + ["Pd2+", "Se4+", -0.0027514805], + ["Se4+", "Pd4+", 0.0194569786], + ["Pd4+", "Se4+", 0.0194569786], + ["Se4+", "Pd3+", -0.0385167869], + ["Pd3+", "Se4+", -0.0385167869], + ["Se4+", "Ag3+", 0.3657439392], + ["Ag3+", "Se4+", 0.3657439392], + ["Se4+", "Ag2+", 0.2802519544], + ["Ag2+", "Se4+", 0.2802519544], + ["Se4+", "Cd2+", 0.3128844051], + ["Cd2+", "Se4+", 0.3128844051], + ["Se4+", "In3+", 0.3368973408], + ["In3+", "Se4+", 0.3368973408], + ["Se4+", "In2+", -0.0290074233], + ["In2+", "Se4+", -0.0290074233], + ["Se4+", "Sn4+", 0.3348904304], + ["Sn4+", "Se4+", 0.3348904304], + ["Se4+", "Sn3+", 0.3501887768], + ["Sn3+", "Se4+", 0.3501887768], + ["Se4+", "Sn2+", 0.2942818965], + ["Sn2+", "Se4+", 0.2942818965], + ["Se4+", "Sb5+", 0.5861263477], + ["Sb5+", "Se4+", 0.5861263477], + ["Se4+", "Sb2-", -0.0228267013], + ["Sb2-", "Se4+", -0.0228267013], + ["Se4+", "Sb3-", -0.1318595137], + ["Sb3-", "Se4+", -0.1318595137], + ["Se4+", "Sb3+", 0.1875050579], + ["Sb3+", "Se4+", 0.1875050579], + ["Se4+", "Sb4+", 0.548147086], + ["Sb4+", "Se4+", 0.548147086], + ["Se4+", "Te2-", 0.1855335778], + ["Te2-", "Se4+", 0.1855335778], + ["Se4+", "Te4+", 0.68725158], + ["Te4+", "Se4+", 0.68725158], + ["Se4+", "Te6+", 0.5340923311], + ["Te6+", "Se4+", 0.5340923311], + ["Se4+", "Te2+", 0.0984616521], + ["Te2+", "Se4+", 0.0984616521], + ["Se4+", "Te5+", 0.4255726214], + ["Te5+", "Se4+", 0.4255726214], + ["Se4+", "I3+", 0.5187669624], + ["I3+", "Se4+", 0.5187669624], + ["Se4+", "I7+", 0.4329586067], + ["I7+", "Se4+", 0.4329586067], + ["Se4+", "I5+", 0.6417668265], + ["I5+", "Se4+", 0.6417668265], + ["Se4+", "I2+", 0.329542721], + ["I2+", "Se4+", 0.329542721], + ["Se4+", "Ba2+", 0.3577291104], + ["Ba2+", "Se4+", 0.3577291104], + ["Se4+", "La3+", 0.3815767515], + ["La3+", "Se4+", 0.3815767515], + ["Se4+", "La2+", 0.2948162418], + ["La2+", "Se4+", 0.2948162418], + ["Se4+", "Ce3+", -0.023525806], + ["Ce3+", "Se4+", -0.023525806], + ["Se4+", "Ce2+", -0.0091817963], + ["Ce2+", "Se4+", -0.0091817963], + ["Se4+", "Ce4+", 0.1989576157], + ["Ce4+", "Se4+", 0.1989576157], + ["Se4+", "Pr3+", 0.2080518274], + ["Pr3+", "Se4+", 0.2080518274], + ["Se4+", "Pr4+", 0.2110704849], + ["Pr4+", "Se4+", 0.2110704849], + ["Se4+", "Pr2+", 0.2216851366], + ["Pr2+", "Se4+", 0.2216851366], + ["Se4+", "Nd3+", 0.2803344057], + ["Nd3+", "Se4+", 0.2803344057], + ["Se4+", "Nd2+", 0.334489146], + ["Nd2+", "Se4+", 0.334489146], + ["Se4+", "Pm3+", 0.07162556], + ["Pm3+", "Se4+", 0.07162556], + ["Se4+", "Sm3+", 0.1972926761], + ["Sm3+", "Se4+", 0.1972926761], + ["Se4+", "Sm2+", 0.0206146143], + ["Sm2+", "Se4+", 0.0206146143], + ["Se4+", "Eu2+", 0.2087075327], + ["Eu2+", "Se4+", 0.2087075327], + ["Se4+", "Eu3+", 0.4729651297], + ["Eu3+", "Se4+", 0.4729651297], + ["Se4+", "Gd2+", 0.1917016574], + ["Gd2+", "Se4+", 0.1917016574], + ["Se4+", "Gd3+", 0.3388150408], + ["Gd3+", "Se4+", 0.3388150408], + ["Se4+", "Tb3+", 0.2008677567], + ["Tb3+", "Se4+", 0.2008677567], + ["Se4+", "Tb2+", 0.0687997455], + ["Tb2+", "Se4+", 0.0687997455], + ["Se4+", "Tb4+", 0.2323927444], + ["Tb4+", "Se4+", 0.2323927444], + ["Se4+", "Dy3+", 0.2055610623], + ["Dy3+", "Se4+", 0.2055610623], + ["Se4+", "Dy2+", 0.2361428344], + ["Dy2+", "Se4+", 0.2361428344], + ["Se4+", "Ho3+", 0.1845840737], + ["Ho3+", "Se4+", 0.1845840737], + ["Se4+", "Ho2+", 0.1534090916], + ["Ho2+", "Se4+", 0.1534090916], + ["Se4+", "Er3+", 0.111239378], + ["Er3+", "Se4+", 0.111239378], + ["Se4+", "Tm3+", 0.1931078077], + ["Tm3+", "Se4+", 0.1931078077], + ["Se4+", "Tm2+", 0.126250971], + ["Tm2+", "Se4+", 0.126250971], + ["Se4+", "Yb3+", 0.1783853367], + ["Yb3+", "Se4+", 0.1783853367], + ["Se4+", "Yb2+", -0.1510524632], + ["Yb2+", "Se4+", -0.1510524632], + ["Se4+", "Lu3+", 0.0974355637], + ["Lu3+", "Se4+", 0.0974355637], + ["Se4+", "Hf3+", -0.0054865424], + ["Hf3+", "Se4+", -0.0054865424], + ["Se4+", "Hf2+", 0.1708525429], + ["Hf2+", "Se4+", 0.1708525429], + ["Se4+", "Hf4+", 0.2856078569], + ["Hf4+", "Se4+", 0.2856078569], + ["Se4+", "Ta5+", 0.4957006625], + ["Ta5+", "Se4+", 0.4957006625], + ["Se4+", "Ta3+", -0.080595436], + ["Ta3+", "Se4+", -0.080595436], + ["Se4+", "Ta4+", 0.1648965485], + ["Ta4+", "Se4+", 0.1648965485], + ["Se4+", "Ta2+", -0.1675233622], + ["Ta2+", "Se4+", -0.1675233622], + ["Se4+", "W6+", 0.6095123415], + ["W6+", "Se4+", 0.6095123415], + ["Se4+", "W4+", 0.4510948956], + ["W4+", "Se4+", 0.4510948956], + ["Se4+", "W2+", 0.3017330763], + ["W2+", "Se4+", 0.3017330763], + ["Se4+", "W3+", 0.3680439585], + ["W3+", "Se4+", 0.3680439585], + ["Se4+", "W5+", 0.5802277294], + ["W5+", "Se4+", 0.5802277294], + ["Se4+", "Re5+", 0.3139496779], + ["Re5+", "Se4+", 0.3139496779], + ["Se4+", "Re3+", -0.0782784934], + ["Re3+", "Se4+", -0.0782784934], + ["Se4+", "Re6+", 0.1831268701], + ["Re6+", "Se4+", 0.1831268701], + ["Se4+", "Re2+", 0.3742315792], + ["Re2+", "Se4+", 0.3742315792], + ["Se4+", "Re4+", 0.1249418902], + ["Re4+", "Se4+", 0.1249418902], + ["Se4+", "Re7+", 0.2525095992], + ["Re7+", "Se4+", 0.2525095992], + ["Se4+", "Os7+", 0.2183394695], + ["Os7+", "Se4+", 0.2183394695], + ["Se4+", "Os6+", 0.1639381787], + ["Os6+", "Se4+", 0.1639381787], + ["Se4+", "Os5+", 0.0835762035], + ["Os5+", "Se4+", 0.0835762035], + ["Se4+", "Os2-", -0.3246858894], + ["Os2-", "Se4+", -0.3246858894], + ["Se4+", "Os3+", 0.0569693975], + ["Os3+", "Se4+", 0.0569693975], + ["Se4+", "Os4+", 0.2292944262], + ["Os4+", "Se4+", 0.2292944262], + ["Se4+", "Os8+", 0.1564423172], + ["Os8+", "Se4+", 0.1564423172], + ["Se4+", "Os2+", 0.3928062584], + ["Os2+", "Se4+", 0.3928062584], + ["Se4+", "Ir3+", -0.032650271], + ["Ir3+", "Se4+", -0.032650271], + ["Se4+", "Ir4+", 0.239942361], + ["Ir4+", "Se4+", 0.239942361], + ["Se4+", "Ir5+", 0.2337057505], + ["Ir5+", "Se4+", 0.2337057505], + ["Se4+", "Ir6+", 0.4089566418], + ["Ir6+", "Se4+", 0.4089566418], + ["Se4+", "Pt2+", 0.1629691787], + ["Pt2+", "Se4+", 0.1629691787], + ["Se4+", "Pt2-", -0.261587127], + ["Pt2-", "Se4+", -0.261587127], + ["Se4+", "Pt4+", 0.3403689183], + ["Pt4+", "Se4+", 0.3403689183], + ["Se4+", "Pt3+", 0.3442187666], + ["Pt3+", "Se4+", 0.3442187666], + ["Se4+", "Pt5+", 0.1042652339], + ["Pt5+", "Se4+", 0.1042652339], + ["Se4+", "Pt6+", 0.3360363579], + ["Pt6+", "Se4+", 0.3360363579], + ["Se4+", "Au2+", 0.0665347117], + ["Au2+", "Se4+", 0.0665347117], + ["Se4+", "Au3+", 0.2598160187], + ["Au3+", "Se4+", 0.2598160187], + ["Se4+", "Au5+", 0.0645773099], + ["Au5+", "Se4+", 0.0645773099], + ["Se4+", "Au4+", 0.0281111413], + ["Au4+", "Se4+", 0.0281111413], + ["Se4+", "Hg2+", 0.2468809566], + ["Hg2+", "Se4+", 0.2468809566], + ["Se4+", "Tl3+", 0.4824286623], + ["Tl3+", "Se4+", 0.4824286623], + ["Se4+", "Tl2+", 0.2732234835], + ["Tl2+", "Se4+", 0.2732234835], + ["Se4+", "Pb2+", 0.3893871635], + ["Pb2+", "Se4+", 0.3893871635], + ["Se4+", "Pb3+", 0.539731271], + ["Pb3+", "Se4+", 0.539731271], + ["Se4+", "Pb4+", 0.5027205521], + ["Pb4+", "Se4+", 0.5027205521], + ["Se4+", "Bi3+", 0.5344281922], + ["Bi3+", "Se4+", 0.5344281922], + ["Se4+", "Bi5+", 0.6180023657], + ["Bi5+", "Se4+", 0.6180023657], + ["Se4+", "Bi2+", 0.4416283945], + ["Bi2+", "Se4+", 0.4416283945], + ["Se4+", "Bi3-", 0.0493680593], + ["Bi3-", "Se4+", 0.0493680593], + ["Se4+", "Bi4+", 0.3825251079], + ["Bi4+", "Se4+", 0.3825251079], + ["Se4+", "Ac3+", 0.1275257477], + ["Ac3+", "Se4+", 0.1275257477], + ["Se4+", "Th4+", -0.0179822481], + ["Th4+", "Se4+", -0.0179822481], + ["Se4+", "Th3+", -0.1447320284], + ["Th3+", "Se4+", -0.1447320284], + ["Se4+", "Pa4+", 0.2982509032], + ["Pa4+", "Se4+", 0.2982509032], + ["Se4+", "Pa5+", 0.4913952721], + ["Pa5+", "Se4+", 0.4913952721], + ["Se4+", "Pa3+", -0.0307236683], + ["Pa3+", "Se4+", -0.0307236683], + ["Se4+", "U6+", 0.5137961684], + ["U6+", "Se4+", 0.5137961684], + ["Se4+", "U4+", -0.1220357203], + ["U4+", "Se4+", -0.1220357203], + ["Se4+", "U3+", -0.2922837671], + ["U3+", "Se4+", -0.2922837671], + ["Se4+", "U2+", -0.1241729751], + ["U2+", "Se4+", -0.1241729751], + ["Se4+", "U5+", 0.2828515839], + ["U5+", "Se4+", 0.2828515839], + ["Se4+", "Np6+", 0.1887596527], + ["Np6+", "Se4+", 0.1887596527], + ["Se4+", "Np4+", 0.0337358666], + ["Np4+", "Se4+", 0.0337358666], + ["Se4+", "Np3+", -0.0186024902], + ["Np3+", "Se4+", -0.0186024902], + ["Se4+", "Np7+", 0.5465830722], + ["Np7+", "Se4+", 0.5465830722], + ["Se4+", "Np5+", 0.222492397], + ["Np5+", "Se4+", 0.222492397], + ["Se4+", "Pu7+", 0.5801792446], + ["Pu7+", "Se4+", 0.5801792446], + ["Se4+", "Pu6+", 0.3411503803], + ["Pu6+", "Se4+", 0.3411503803], + ["Se4+", "Pu3+", 0.1302743147], + ["Pu3+", "Se4+", 0.1302743147], + ["Se4+", "Pu4+", 0.3139636882], + ["Pu4+", "Se4+", 0.3139636882], + ["Se4+", "Pu5+", 0.4579740465], + ["Pu5+", "Se4+", 0.4579740465], + ["Se4+", "H1+", 0.5216385979], + ["H1+", "Se4+", 0.5216385979], + ["Se4+", "H1-", 0.0959914028], + ["H1-", "Se4+", 0.0959914028], + ["Se4+", "Li1+", 0.4182751781], + ["Li1+", "Se4+", 0.4182751781], + ["Se4+", "B1+", 0.2890691233], + ["B1+", "Se4+", 0.2890691233], + ["Se4+", "B1-", -0.0676911358], + ["B1-", "Se4+", -0.0676911358], + ["Se4+", "C1-", 0.0714714583], + ["C1-", "Se4+", 0.0714714583], + ["Se4+", "C1+", 0.3581717335], + ["C1+", "Se4+", 0.3581717335], + ["Se4+", "N1-", 0.211759053], + ["N1-", "Se4+", 0.211759053], + ["Se4+", "N1+", 0.3496438101], + ["N1+", "Se4+", 0.3496438101], + ["Se4+", "O1-", 0.3359190226], + ["O1-", "Se4+", 0.3359190226], + ["Se4+", "F1-", 0.0986112714], + ["F1-", "Se4+", 0.0986112714], + ["Se4+", "Na1+", 0.5918609445], + ["Na1+", "Se4+", 0.5918609445], + ["Se4+", "Si1-", 0.0285827944], + ["Si1-", "Se4+", 0.0285827944], + ["Se4+", "P1+", -0.0754658675], + ["P1+", "Se4+", -0.0754658675], + ["Se4+", "P1-", 0.0396546731], + ["P1-", "Se4+", 0.0396546731], + ["Se4+", "S1-", 0.0192661196], + ["S1-", "Se4+", 0.0192661196], + ["Se4+", "S1+", 0.2995991998], + ["S1+", "Se4+", 0.2995991998], + ["Se4+", "Cl1-", 0.1450852812], + ["Cl1-", "Se4+", 0.1450852812], + ["Se4+", "K1+", 0.3739047879], + ["K1+", "Se4+", 0.3739047879], + ["Se4+", "Sc1+", 0.0697562219], + ["Sc1+", "Se4+", 0.0697562219], + ["Se4+", "Mn1+", 0.2466147436], + ["Mn1+", "Se4+", 0.2466147436], + ["Se4+", "Fe1+", -0.0855493589], + ["Fe1+", "Se4+", -0.0855493589], + ["Se4+", "Co1+", -0.0268301278], + ["Co1+", "Se4+", -0.0268301278], + ["Se4+", "Ni1+", -0.1393729019], + ["Ni1+", "Se4+", -0.1393729019], + ["Se4+", "Cu1+", 0.0172542186], + ["Cu1+", "Se4+", 0.0172542186], + ["Se4+", "Ga1+", -0.0108201744], + ["Ga1+", "Se4+", -0.0108201744], + ["Se4+", "As1-", -0.0746535265], + ["As1-", "Se4+", -0.0746535265], + ["Se4+", "As1+", 0.1211508976], + ["As1+", "Se4+", 0.1211508976], + ["Se4+", "Se1-", 0.0133535138], + ["Se1-", "Se4+", 0.0133535138], + ["Se4+", "Se1+", 0.5230763302], + ["Se1+", "Se4+", 0.5230763302], + ["Se4+", "Br1-", 0.1222609144], + ["Br1-", "Se4+", 0.1222609144], + ["Se4+", "Br1+", 0.2478972199], + ["Br1+", "Se4+", 0.2478972199], + ["Se4+", "Rb1+", 0.3971806437], + ["Rb1+", "Se4+", 0.3971806437], + ["Se4+", "Y1+", 0.0845969942], + ["Y1+", "Se4+", 0.0845969942], + ["Se4+", "Zr1+", -0.2757086994], + ["Zr1+", "Se4+", -0.2757086994], + ["Se4+", "Nb1+", -0.0713888689], + ["Nb1+", "Se4+", -0.0713888689], + ["Se4+", "Tc1-", -0.0331342478], + ["Tc1-", "Se4+", -0.0331342478], + ["Se4+", "Tc1+", 0.1602927582], + ["Tc1+", "Se4+", 0.1602927582], + ["Se4+", "Rh1+", -0.1272488469], + ["Rh1+", "Se4+", -0.1272488469], + ["Se4+", "Ag1+", 0.2298427136], + ["Ag1+", "Se4+", 0.2298427136], + ["Se4+", "In1+", 0.0929758191], + ["In1+", "Se4+", 0.0929758191], + ["Se4+", "Sb1-", 0.0163288378], + ["Sb1-", "Se4+", 0.0163288378], + ["Se4+", "Sb1+", 0.0365247318], + ["Sb1+", "Se4+", 0.0365247318], + ["Se4+", "Te1-", 0.1524928719], + ["Te1-", "Se4+", 0.1524928719], + ["Se4+", "Te1+", 0.1858133266], + ["Te1+", "Se4+", 0.1858133266], + ["Se4+", "I1-", 0.1377025268], + ["I1-", "Se4+", 0.1377025268], + ["Se4+", "I1+", 0.3702975798], + ["I1+", "Se4+", 0.3702975798], + ["Se4+", "Cs1+", 0.2999777114], + ["Cs1+", "Se4+", 0.2999777114], + ["Se4+", "La1+", 0.0799830613], + ["La1+", "Se4+", 0.0799830613], + ["Se4+", "Tb1+", -0.0061426732], + ["Tb1+", "Se4+", -0.0061426732], + ["Se4+", "Ta1+", -0.2773123128], + ["Ta1+", "Se4+", -0.2773123128], + ["Se4+", "Os1-", -0.2618985108], + ["Os1-", "Se4+", -0.2618985108], + ["Se4+", "Os1+", 0.1406244757], + ["Os1+", "Se4+", 0.1406244757], + ["Se4+", "Pt1-", -0.2345178919], + ["Pt1-", "Se4+", -0.2345178919], + ["Se4+", "Pt1+", 0.1363281232], + ["Pt1+", "Se4+", 0.1363281232], + ["Se4+", "Au1-", -0.1190093072], + ["Au1-", "Se4+", -0.1190093072], + ["Se4+", "Au1+", 0.0381811642], + ["Au1+", "Se4+", 0.0381811642], + ["Se4+", "Hg1+", 0.5853753485], + ["Hg1+", "Se4+", 0.5853753485], + ["Se4+", "Tl1+", 0.3049815676], + ["Tl1+", "Se4+", 0.3049815676], + ["Se4+", "Bi1+", 0.2664172273], + ["Bi1+", "Se4+", 0.2664172273], + ["Se6+", "Se6+", 1.0], + ["Se6+", "Se5+", 0.6501666415], + ["Se5+", "Se6+", 0.6501666415], + ["Se6+", "Se2+", 0.1121424626], + ["Se2+", "Se6+", 0.1121424626], + ["Se6+", "Se3+", 0.2432291322], + ["Se3+", "Se6+", 0.2432291322], + ["Se6+", "Br2+", 0.110319181], + ["Br2+", "Se6+", 0.110319181], + ["Se6+", "Br5+", 0.4739479475], + ["Br5+", "Se6+", 0.4739479475], + ["Se6+", "Br3+", 0.3646448877], + ["Br3+", "Se6+", 0.3646448877], + ["Se6+", "Sr2+", 0.315503197], + ["Sr2+", "Se6+", 0.315503197], + ["Se6+", "Y3+", 0.2769101593], + ["Y3+", "Se6+", 0.2769101593], + ["Se6+", "Y2+", 0.4537991633], + ["Y2+", "Se6+", 0.4537991633], + ["Se6+", "Zr2+", -0.30426755], + ["Zr2+", "Se6+", -0.30426755], + ["Se6+", "Zr4+", 0.3269496391], + ["Zr4+", "Se6+", 0.3269496391], + ["Se6+", "Zr3+", -0.1523466749], + ["Zr3+", "Se6+", -0.1523466749], + ["Se6+", "Nb5+", 0.4860130554], + ["Nb5+", "Se6+", 0.4860130554], + ["Se6+", "Nb3+", -0.0556070536], + ["Nb3+", "Se6+", -0.0556070536], + ["Se6+", "Nb4+", 0.2313441736], + ["Nb4+", "Se6+", 0.2313441736], + ["Se6+", "Nb2+", -0.088784402], + ["Nb2+", "Se6+", -0.088784402], + ["Se6+", "Nb7+", 0.4526497529], + ["Nb7+", "Se6+", 0.4526497529], + ["Se6+", "Mo3+", 0.0636735797], + ["Mo3+", "Se6+", 0.0636735797], + ["Se6+", "Mo4+", 0.1969988545], + ["Mo4+", "Se6+", 0.1969988545], + ["Se6+", "Mo6+", 0.3655828459], + ["Mo6+", "Se6+", 0.3655828459], + ["Se6+", "Mo5+", 0.364842937], + ["Mo5+", "Se6+", 0.364842937], + ["Se6+", "Mo2+", -0.0519140016], + ["Mo2+", "Se6+", -0.0519140016], + ["Se6+", "Tc4+", 0.1648529946], + ["Tc4+", "Se6+", 0.1648529946], + ["Se6+", "Tc3-", -0.1278224878], + ["Tc3-", "Se6+", -0.1278224878], + ["Se6+", "Tc3+", -0.0229222143], + ["Tc3+", "Se6+", -0.0229222143], + ["Se6+", "Tc7+", 0.3267472796], + ["Tc7+", "Se6+", 0.3267472796], + ["Se6+", "Tc5+", 0.3111006379], + ["Tc5+", "Se6+", 0.3111006379], + ["Se6+", "Tc6+", 0.0251432583], + ["Tc6+", "Se6+", 0.0251432583], + ["Se6+", "Tc2-", -0.1621690167], + ["Tc2-", "Se6+", 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0.2711833845], + ["In3+", "Se6+", 0.2711833845], + ["Se6+", "In2+", -0.0450318809], + ["In2+", "Se6+", -0.0450318809], + ["Se6+", "Sn4+", 0.2882030516], + ["Sn4+", "Se6+", 0.2882030516], + ["Se6+", "Sn3+", 0.2999809142], + ["Sn3+", "Se6+", 0.2999809142], + ["Se6+", "Sn2+", 0.1079928005], + ["Sn2+", "Se6+", 0.1079928005], + ["Se6+", "Sb5+", 0.4719402524], + ["Sb5+", "Se6+", 0.4719402524], + ["Se6+", "Sb2-", 0.0272551001], + ["Sb2-", "Se6+", 0.0272551001], + ["Se6+", "Sb3-", -0.056482139], + ["Sb3-", "Se6+", -0.056482139], + ["Se6+", "Sb3+", 0.1932986566], + ["Sb3+", "Se6+", 0.1932986566], + ["Se6+", "Sb4+", 0.4901012506], + ["Sb4+", "Se6+", 0.4901012506], + ["Se6+", "Te2-", 0.1310567368], + ["Te2-", "Se6+", 0.1310567368], + ["Se6+", "Te4+", 0.4032977543], + ["Te4+", "Se6+", 0.4032977543], + ["Se6+", "Te6+", 0.4763827865], + ["Te6+", "Se6+", 0.4763827865], + ["Se6+", "Te2+", -0.0516880713], + ["Te2+", "Se6+", -0.0516880713], + ["Se6+", "Te5+", 0.3793580105], + ["Te5+", "Se6+", 0.3793580105], + ["Se6+", "I3+", 0.3392678579], + ["I3+", "Se6+", 0.3392678579], + ["Se6+", "I7+", 0.3737817755], + ["I7+", "Se6+", 0.3737817755], + ["Se6+", "I5+", 0.6025129478], + ["I5+", "Se6+", 0.6025129478], + ["Se6+", "I2+", 0.3847682665], + ["I2+", "Se6+", 0.3847682665], + ["Se6+", "Ba2+", 0.2517162102], + ["Ba2+", "Se6+", 0.2517162102], + ["Se6+", "La3+", 0.2066570771], + ["La3+", "Se6+", 0.2066570771], + ["Se6+", "La2+", 0.099763746], + ["La2+", "Se6+", 0.099763746], + ["Se6+", "Ce3+", -0.0561187008], + ["Ce3+", "Se6+", -0.0561187008], + ["Se6+", "Ce2+", -0.1026593573], + ["Ce2+", "Se6+", -0.1026593573], + ["Se6+", "Ce4+", 0.204262344], + ["Ce4+", "Se6+", 0.204262344], + ["Se6+", "Pr3+", -0.0368757665], + ["Pr3+", "Se6+", -0.0368757665], + ["Se6+", "Pr4+", 0.3085983928], + ["Pr4+", "Se6+", 0.3085983928], + ["Se6+", "Pr2+", 0.0217256858], + ["Pr2+", "Se6+", 0.0217256858], + ["Se6+", "Nd3+", 0.0730686712], + ["Nd3+", "Se6+", 0.0730686712], + ["Se6+", "Nd2+", 0.1493336302], + 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"Er3+", 0.0539448686], + ["Er3+", "Se6+", 0.0539448686], + ["Se6+", "Tm3+", 0.1975742139], + ["Tm3+", "Se6+", 0.1975742139], + ["Se6+", "Tm2+", -0.1906295749], + ["Tm2+", "Se6+", -0.1906295749], + ["Se6+", "Yb3+", 0.1611279305], + ["Yb3+", "Se6+", 0.1611279305], + ["Se6+", "Yb2+", -0.1878318578], + ["Yb2+", "Se6+", -0.1878318578], + ["Se6+", "Lu3+", 0.1058676547], + ["Lu3+", "Se6+", 0.1058676547], + ["Se6+", "Hf3+", -0.1895167282], + ["Hf3+", "Se6+", -0.1895167282], + ["Se6+", "Hf2+", 0.1648158836], + ["Hf2+", "Se6+", 0.1648158836], + ["Se6+", "Hf4+", 0.2920808695], + ["Hf4+", "Se6+", 0.2920808695], + ["Se6+", "Ta5+", 0.4626642999], + ["Ta5+", "Se6+", 0.4626642999], + ["Se6+", "Ta3+", -0.1765275837], + ["Ta3+", "Se6+", -0.1765275837], + ["Se6+", "Ta4+", 0.1827339743], + ["Ta4+", "Se6+", 0.1827339743], + ["Se6+", "Ta2+", -0.1970280171], + ["Ta2+", "Se6+", -0.1970280171], + ["Se6+", "W6+", 0.5399275888], + ["W6+", "Se6+", 0.5399275888], + ["Se6+", "W4+", 0.2679539478], + ["W4+", "Se6+", 0.2679539478], + ["Se6+", "W2+", 0.0387310698], + ["W2+", "Se6+", 0.0387310698], + ["Se6+", "W3+", 0.2163574649], + ["W3+", "Se6+", 0.2163574649], + ["Se6+", "W5+", 0.4071010709], + ["W5+", "Se6+", 0.4071010709], + ["Se6+", "Re5+", 0.2679932749], + ["Re5+", "Se6+", 0.2679932749], + ["Se6+", "Re3+", -0.2652302496], + ["Re3+", "Se6+", -0.2652302496], + ["Se6+", "Re6+", 0.2102291359], + ["Re6+", "Se6+", 0.2102291359], + ["Se6+", "Re2+", 0.2485733327], + ["Re2+", "Se6+", 0.2485733327], + ["Se6+", "Re4+", -0.0398486654], + ["Re4+", "Se6+", -0.0398486654], + ["Se6+", "Re7+", 0.2583696958], + ["Re7+", "Se6+", 0.2583696958], + ["Se6+", "Os7+", 0.4097752665], + ["Os7+", "Se6+", 0.4097752665], + ["Se6+", "Os6+", 0.1737050687], + ["Os6+", "Se6+", 0.1737050687], + ["Se6+", "Os5+", 0.2070364053], + ["Os5+", "Se6+", 0.2070364053], + ["Se6+", "Os2-", -0.2527207033], + ["Os2-", "Se6+", -0.2527207033], + ["Se6+", "Os3+", 0.0647375771], + ["Os3+", "Se6+", 0.0647375771], + ["Se6+", "Os4+", 0.0756343007], + ["Os4+", "Se6+", 0.0756343007], + ["Se6+", "Os8+", 0.1772808018], + ["Os8+", "Se6+", 0.1772808018], + ["Se6+", "Os2+", 0.2096025442], + ["Os2+", "Se6+", 0.2096025442], + ["Se6+", "Ir3+", -0.138197422], + ["Ir3+", "Se6+", -0.138197422], + ["Se6+", "Ir4+", 0.3117615934], + ["Ir4+", "Se6+", 0.3117615934], + ["Se6+", "Ir5+", 0.1249603931], + ["Ir5+", "Se6+", 0.1249603931], + ["Se6+", "Ir6+", 0.2762152187], + ["Ir6+", "Se6+", 0.2762152187], + ["Se6+", "Pt2+", -0.071095712], + ["Pt2+", "Se6+", -0.071095712], + ["Se6+", "Pt2-", -0.2188482507], + ["Pt2-", "Se6+", -0.2188482507], + ["Se6+", "Pt4+", 0.2453648207], + ["Pt4+", "Se6+", 0.2453648207], + ["Se6+", "Pt3+", 0.3673295219], + ["Pt3+", "Se6+", 0.3673295219], + ["Se6+", "Pt5+", 0.0582308885], + ["Pt5+", "Se6+", 0.0582308885], + ["Se6+", "Pt6+", 0.230442109], + ["Pt6+", "Se6+", 0.230442109], + ["Se6+", "Au2+", 0.0590074788], + ["Au2+", "Se6+", 0.0590074788], + ["Se6+", "Au3+", 0.084737482], + ["Au3+", "Se6+", 0.084737482], + ["Se6+", 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0.0736931627], + ["Se6+", "Th3+", -0.2018979031], + ["Th3+", "Se6+", -0.2018979031], + ["Se6+", "Pa4+", 0.119710834], + ["Pa4+", "Se6+", 0.119710834], + ["Se6+", "Pa5+", 0.3426803358], + ["Pa5+", "Se6+", 0.3426803358], + ["Se6+", "Pa3+", -0.0894306841], + ["Pa3+", "Se6+", -0.0894306841], + ["Se6+", "U6+", 0.4351046561], + ["U6+", "Se6+", 0.4351046561], + ["Se6+", "U4+", -0.1546087569], + ["U4+", "Se6+", -0.1546087569], + ["Se6+", "U3+", -0.1838630159], + ["U3+", "Se6+", -0.1838630159], + ["Se6+", "U2+", -0.2218092417], + ["U2+", "Se6+", -0.2218092417], + ["Se6+", "U5+", 0.3024674242], + ["U5+", "Se6+", 0.3024674242], + ["Se6+", "Np6+", 0.1834282038], + ["Np6+", "Se6+", 0.1834282038], + ["Se6+", "Np4+", 0.0790939474], + ["Np4+", "Se6+", 0.0790939474], + ["Se6+", "Np3+", -0.1140473623], + ["Np3+", "Se6+", -0.1140473623], + ["Se6+", "Np7+", 0.4467082136], + ["Np7+", "Se6+", 0.4467082136], + ["Se6+", "Np5+", 0.1880262598], + ["Np5+", "Se6+", 0.1880262598], + ["Se6+", "Pu7+", 0.6553757637], + ["Pu7+", "Se6+", 0.6553757637], + ["Se6+", "Pu6+", 0.1438283182], + ["Pu6+", "Se6+", 0.1438283182], + ["Se6+", "Pu3+", 0.076969957], + ["Pu3+", "Se6+", 0.076969957], + ["Se6+", "Pu4+", 0.2898388414], + ["Pu4+", "Se6+", 0.2898388414], + ["Se6+", "Pu5+", 0.1957866365], + ["Pu5+", "Se6+", 0.1957866365], + ["Se6+", "H1+", 0.472587484], + ["H1+", "Se6+", 0.472587484], + ["Se6+", "H1-", 0.057968702], + ["H1-", "Se6+", 0.057968702], + ["Se6+", "Li1+", 0.4790864498], + ["Li1+", "Se6+", 0.4790864498], + ["Se6+", "B1+", 0.1121891777], + ["B1+", "Se6+", 0.1121891777], + ["Se6+", "B1-", 0.0187967164], + ["B1-", "Se6+", 0.0187967164], + ["Se6+", "C1-", 0.1025002698], + ["C1-", "Se6+", 0.1025002698], + ["Se6+", "C1+", 0.1956456421], + ["C1+", "Se6+", 0.1956456421], + ["Se6+", "N1-", 0.2042928859], + ["N1-", "Se6+", 0.2042928859], + ["Se6+", "N1+", 0.2193038372], + ["N1+", "Se6+", 0.2193038372], + ["Se6+", "O1-", 0.1075501082], + ["O1-", "Se6+", 0.1075501082], + ["Se6+", "F1-", -0.001887874], + ["F1-", "Se6+", -0.001887874], + ["Se6+", "Na1+", 0.5503458153], + ["Na1+", "Se6+", 0.5503458153], + ["Se6+", "Si1-", -0.0044673214], + ["Si1-", "Se6+", -0.0044673214], + ["Se6+", "P1+", -0.1060843038], + ["P1+", "Se6+", -0.1060843038], + ["Se6+", "P1-", -0.0164926104], + ["P1-", "Se6+", -0.0164926104], + ["Se6+", "S1-", -0.0074935559], + ["S1-", "Se6+", -0.0074935559], + ["Se6+", "S1+", 0.1126626969], + ["S1+", "Se6+", 0.1126626969], + ["Se6+", "Cl1-", 0.0843685318], + ["Cl1-", "Se6+", 0.0843685318], + ["Se6+", "K1+", 0.2403409781], + ["K1+", "Se6+", 0.2403409781], + ["Se6+", "Sc1+", -0.1517324053], + ["Sc1+", "Se6+", -0.1517324053], + ["Se6+", "Mn1+", 0.1550351156], + ["Mn1+", "Se6+", 0.1550351156], + ["Se6+", "Fe1+", -0.1959761027], + ["Fe1+", "Se6+", -0.1959761027], + ["Se6+", "Co1+", -0.1380252398], + ["Co1+", "Se6+", -0.1380252398], + ["Se6+", "Ni1+", -0.2650469434], + ["Ni1+", "Se6+", -0.2650469434], + ["Se6+", "Cu1+", -0.144092519], + ["Cu1+", "Se6+", -0.144092519], + ["Se6+", "Ga1+", -0.1915577449], + ["Ga1+", "Se6+", -0.1915577449], + ["Se6+", "As1-", -0.0276951471], + ["As1-", "Se6+", -0.0276951471], + ["Se6+", "As1+", 0.1249794132], + ["As1+", "Se6+", 0.1249794132], + ["Se6+", "Se1-", 0.0057253118], + ["Se1-", "Se6+", 0.0057253118], + ["Se6+", "Se1+", 0.282105786], + ["Se1+", "Se6+", 0.282105786], + ["Se6+", "Br1-", 0.1205128983], + ["Br1-", "Se6+", 0.1205128983], + ["Se6+", "Br1+", 0.1982733103], + ["Br1+", "Se6+", 0.1982733103], + ["Se6+", "Rb1+", 0.2092580491], + ["Rb1+", "Se6+", 0.2092580491], + ["Se6+", "Y1+", -0.0323441406], + ["Y1+", "Se6+", -0.0323441406], + ["Se6+", "Zr1+", -0.3820895028], + ["Zr1+", "Se6+", -0.3820895028], + ["Se6+", "Nb1+", -0.1375534917], + ["Nb1+", "Se6+", -0.1375534917], + ["Se6+", "Tc1-", -0.1720686018], + ["Tc1-", "Se6+", -0.1720686018], + ["Se6+", "Tc1+", -0.0461317019], + ["Tc1+", "Se6+", -0.0461317019], + ["Se6+", "Rh1+", -0.2769129871], + ["Rh1+", "Se6+", -0.2769129871], + ["Se6+", "Ag1+", 0.0824295345], + ["Ag1+", 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["Mn1+", "Se5+", 0.2950892324], + ["Se5+", "Fe1+", -0.1587148802], + ["Fe1+", "Se5+", -0.1587148802], + ["Se5+", "Co1+", -0.1357513183], + ["Co1+", "Se5+", -0.1357513183], + ["Se5+", "Ni1+", -0.1933689717], + ["Ni1+", "Se5+", -0.1933689717], + ["Se5+", "Cu1+", -0.0107073289], + ["Cu1+", "Se5+", -0.0107073289], + ["Se5+", "Ga1+", -0.3144638253], + ["Ga1+", "Se5+", -0.3144638253], + ["Se5+", "As1-", -0.0125965303], + ["As1-", "Se5+", -0.0125965303], + ["Se5+", "As1+", 0.2494494451], + ["As1+", "Se5+", 0.2494494451], + ["Se5+", "Se1-", 0.006486544], + ["Se1-", "Se5+", 0.006486544], + ["Se5+", "Se1+", 0.4454921949], + ["Se1+", "Se5+", 0.4454921949], + ["Se5+", "Br1-", 0.1909858447], + ["Br1-", "Se5+", 0.1909858447], + ["Se5+", "Br1+", 0.1263191861], + ["Br1+", "Se5+", 0.1263191861], + ["Se5+", "Rb1+", 0.2020759262], + ["Rb1+", "Se5+", 0.2020759262], + ["Se5+", "Y1+", 0.089207686], + ["Y1+", "Se5+", 0.089207686], + ["Se5+", "Zr1+", -0.4465715703], + ["Zr1+", "Se5+", -0.4465715703], + ["Se5+", "Nb1+", -0.2200997362], + ["Nb1+", "Se5+", -0.2200997362], + ["Se5+", "Tc1-", -0.1072509523], + ["Tc1-", "Se5+", -0.1072509523], + ["Se5+", "Tc1+", -0.0459053863], + ["Tc1+", "Se5+", -0.0459053863], + ["Se5+", "Rh1+", -0.2074114273], + ["Rh1+", "Se5+", -0.2074114273], + ["Se5+", "Ag1+", 0.1948659032], + ["Ag1+", "Se5+", 0.1948659032], + ["Se5+", "In1+", -0.0225967911], + ["In1+", "Se5+", -0.0225967911], + ["Se5+", "Sb1-", 0.0017125522], + ["Sb1-", "Se5+", 0.0017125522], + ["Se5+", "Sb1+", 0.1258816098], + ["Sb1+", "Se5+", 0.1258816098], + ["Se5+", "Te1-", -0.0074213007], + ["Te1-", "Se5+", -0.0074213007], + ["Se5+", "Te1+", -0.0477276965], + ["Te1+", "Se5+", -0.0477276965], + ["Se5+", "I1-", 0.05681862], + ["I1-", "Se5+", 0.05681862], + ["Se5+", "I1+", 0.1951141145], + ["I1+", "Se5+", 0.1951141145], + ["Se5+", "Cs1+", 0.0506387109], + ["Cs1+", "Se5+", 0.0506387109], + ["Se5+", "La1+", -0.128208437], + ["La1+", "Se5+", -0.128208437], + ["Se5+", "Tb1+", -0.0716506176], + ["Tb1+", "Se5+", -0.0716506176], + ["Se5+", "Ta1+", -0.2772443648], + ["Ta1+", "Se5+", -0.2772443648], + ["Se5+", "Os1-", -0.2843921864], + ["Os1-", "Se5+", -0.2843921864], + ["Se5+", "Os1+", -0.1122407649], + ["Os1+", "Se5+", -0.1122407649], + ["Se5+", "Pt1-", -0.1160055517], + ["Pt1-", "Se5+", -0.1160055517], + ["Se5+", "Pt1+", -0.0564646283], + ["Pt1+", "Se5+", -0.0564646283], + ["Se5+", "Au1-", -0.2180465951], + ["Au1-", "Se5+", -0.2180465951], + ["Se5+", "Au1+", -0.2376258082], + ["Au1+", "Se5+", -0.2376258082], + ["Se5+", "Hg1+", 0.2740519245], + ["Hg1+", "Se5+", 0.2740519245], + ["Se5+", "Tl1+", 0.1234541028], + ["Tl1+", "Se5+", 0.1234541028], + ["Se5+", "Bi1+", 0.0854537947], + ["Bi1+", "Se5+", 0.0854537947], + ["Se2+", "Se2+", 1.0], + ["Se2+", "Se3+", 0.3941168822], + ["Se3+", "Se2+", 0.3941168822], + ["Se2+", "Br2+", 0.1954144291], + ["Br2+", "Se2+", 0.1954144291], + ["Se2+", "Br5+", -0.0095994399], + ["Br5+", "Se2+", -0.0095994399], + ["Se2+", "Br3+", 0.1531527858], + ["Br3+", "Se2+", 0.1531527858], + ["Se2+", "Sr2+", 0.2729783234], + ["Sr2+", "Se2+", 0.2729783234], + ["Se2+", "Y3+", 0.2347297551], + ["Y3+", "Se2+", 0.2347297551], + ["Se2+", "Y2+", 0.2354409736], + ["Y2+", "Se2+", 0.2354409736], + ["Se2+", "Zr2+", 0.2288127734], + ["Zr2+", "Se2+", 0.2288127734], + ["Se2+", "Zr4+", 0.0150079336], + ["Zr4+", "Se2+", 0.0150079336], + ["Se2+", "Zr3+", 0.3557776329], + ["Zr3+", "Se2+", 0.3557776329], + ["Se2+", "Nb5+", 0.2310486889], + ["Nb5+", "Se2+", 0.2310486889], + ["Se2+", "Nb3+", 0.2922070173], + ["Nb3+", "Se2+", 0.2922070173], + ["Se2+", "Nb4+", 0.052178305], + ["Nb4+", "Se2+", 0.052178305], + ["Se2+", "Nb2+", 0.3924458973], + ["Nb2+", "Se2+", 0.3924458973], + ["Se2+", "Nb7+", 0.060282366], + ["Nb7+", "Se2+", 0.060282366], + ["Se2+", "Mo3+", 0.4276162793], + ["Mo3+", "Se2+", 0.4276162793], + ["Se2+", "Mo4+", 0.1452469194], + ["Mo4+", "Se2+", 0.1452469194], + ["Se2+", "Mo6+", 0.1377432678], + ["Mo6+", "Se2+", 0.1377432678], + ["Se2+", "Mo5+", 0.3553325382], + ["Mo5+", "Se2+", 0.3553325382], + ["Se2+", "Mo2+", 0.489437198], + ["Mo2+", "Se2+", 0.489437198], + ["Se2+", "Tc4+", 0.1945070723], + ["Tc4+", "Se2+", 0.1945070723], + ["Se2+", "Tc3-", -0.0027802751], + ["Tc3-", "Se2+", -0.0027802751], + ["Se2+", "Tc3+", 0.4598799823], + ["Tc3+", "Se2+", 0.4598799823], + ["Se2+", "Tc7+", 0.0009331467], + ["Tc7+", "Se2+", 0.0009331467], + ["Se2+", "Tc5+", 0.2710336624], + ["Tc5+", "Se2+", 0.2710336624], + ["Se2+", "Tc6+", 0.0393099681], + ["Tc6+", "Se2+", 0.0393099681], + ["Se2+", "Tc2-", -0.2295327236], + ["Tc2-", "Se2+", -0.2295327236], + ["Se2+", "Tc2+", 0.4331137876], + ["Tc2+", "Se2+", 0.4331137876], + ["Se2+", "Ru2+", 0.2986172809], + ["Ru2+", "Se2+", 0.2986172809], + ["Se2+", "Ru6+", 0.3176844651], + ["Ru6+", "Se2+", 0.3176844651], + ["Se2+", "Ru4+", 0.4355452139], + ["Ru4+", "Se2+", 0.4355452139], + ["Se2+", "Ru5+", 0.2478914235], + ["Ru5+", "Se2+", 0.2478914235], + ["Se2+", "Ru3+", 0.1727037644], + ["Ru3+", "Se2+", 0.1727037644], + ["Se2+", "Rh4+", 0.1663473888], + ["Rh4+", "Se2+", 0.1663473888], + ["Se2+", "Rh3+", 0.1842951834], + ["Rh3+", "Se2+", 0.1842951834], + ["Se2+", "Pd2+", 0.2435125043], + ["Pd2+", "Se2+", 0.2435125043], + ["Se2+", "Pd4+", 0.2195405074], + ["Pd4+", "Se2+", 0.2195405074], + ["Se2+", "Pd3+", 0.000607126], + ["Pd3+", "Se2+", 0.000607126], + ["Se2+", "Ag3+", -0.1392588093], + ["Ag3+", "Se2+", -0.1392588093], + ["Se2+", "Ag2+", -0.0193884962], + ["Ag2+", "Se2+", -0.0193884962], + ["Se2+", "Cd2+", 0.22613401], + ["Cd2+", "Se2+", 0.22613401], + ["Se2+", "In3+", 0.2731677561], + ["In3+", "Se2+", 0.2731677561], + ["Se2+", "In2+", 0.4163028878], + ["In2+", "Se2+", 0.4163028878], + ["Se2+", "Sn4+", 0.3208680542], + ["Sn4+", "Se2+", 0.3208680542], + ["Se2+", "Sn3+", 0.1439165199], + ["Sn3+", "Se2+", 0.1439165199], + ["Se2+", "Sn2+", 0.3435573133], + ["Sn2+", "Se2+", 0.3435573133], + ["Se2+", "Sb5+", 0.4224669302], + ["Sb5+", "Se2+", 0.4224669302], + ["Se2+", "Sb2-", -0.1078130179], + ["Sb2-", "Se2+", -0.1078130179], + ["Se2+", "Sb3-", -0.0799833313], + ["Sb3-", "Se2+", -0.0799833313], + ["Se2+", "Sb3+", 0.2419358536], + ["Sb3+", "Se2+", 0.2419358536], + ["Se2+", "Sb4+", 0.1032832561], + ["Sb4+", "Se2+", 0.1032832561], + ["Se2+", "Te2-", 0.2085939087], + ["Te2-", "Se2+", 0.2085939087], + ["Se2+", "Te4+", 0.4529848787], + ["Te4+", "Se2+", 0.4529848787], + ["Se2+", "Te6+", 0.1024636595], + ["Te6+", "Se2+", 0.1024636595], + ["Se2+", "Te2+", 0.2169454433], + ["Te2+", "Se2+", 0.2169454433], + ["Se2+", "Te5+", 0.1731148163], + ["Te5+", "Se2+", 0.1731148163], + ["Se2+", "I3+", 0.3704606356], + ["I3+", "Se2+", 0.3704606356], + ["Se2+", "I7+", -0.0274641417], + ["I7+", "Se2+", -0.0274641417], + ["Se2+", "I5+", 0.1228302278], + ["I5+", "Se2+", 0.1228302278], + ["Se2+", "I2+", 0.1605268205], + ["I2+", "Se2+", 0.1605268205], + ["Se2+", "Ba2+", 0.299354797], + ["Ba2+", "Se2+", 0.299354797], + ["Se2+", "La3+", 0.3373009304], + ["La3+", "Se2+", 0.3373009304], + ["Se2+", "La2+", 0.0907277249], + ["La2+", "Se2+", 0.0907277249], + ["Se2+", "Ce3+", 0.3778900222], + ["Ce3+", "Se2+", 0.3778900222], + ["Se2+", "Ce2+", 0.0309514953], + ["Ce2+", "Se2+", 0.0309514953], + ["Se2+", "Ce4+", 0.0587781549], + ["Ce4+", "Se2+", 0.0587781549], + ["Se2+", "Pr3+", 0.3493751325], + ["Pr3+", "Se2+", 0.3493751325], + ["Se2+", "Pr4+", 0.0651866039], + ["Pr4+", "Se2+", 0.0651866039], + ["Se2+", "Pr2+", 0.296668244], + ["Pr2+", "Se2+", 0.296668244], + ["Se2+", "Nd3+", 0.2316985369], + ["Nd3+", "Se2+", 0.2316985369], + ["Se2+", "Nd2+", 0.2547082054], + ["Nd2+", "Se2+", 0.2547082054], + ["Se2+", "Pm3+", 0.248949205], + ["Pm3+", "Se2+", 0.248949205], + ["Se2+", "Sm3+", 0.2325118964], + ["Sm3+", "Se2+", 0.2325118964], + ["Se2+", "Sm2+", 0.1865715447], + ["Sm2+", "Se2+", 0.1865715447], + ["Se2+", "Eu2+", 0.3242058813], + ["Eu2+", "Se2+", 0.3242058813], + ["Se2+", "Eu3+", 0.2689049165], + ["Eu3+", "Se2+", 0.2689049165], + ["Se2+", "Gd2+", 0.3430476414], + ["Gd2+", "Se2+", 0.3430476414], + ["Se2+", "Gd3+", 0.2240714754], + ["Gd3+", "Se2+", 0.2240714754], + ["Se2+", "Tb3+", 0.1202099829], + ["Tb3+", "Se2+", 0.1202099829], + ["Se2+", "Tb2+", 0.2890962682], + ["Tb2+", "Se2+", 0.2890962682], + ["Se2+", "Tb4+", -0.2602113415], + ["Tb4+", "Se2+", -0.2602113415], + ["Se2+", "Dy3+", 0.148926766], + ["Dy3+", "Se2+", 0.148926766], + ["Se2+", "Dy2+", 0.299250425], + ["Dy2+", "Se2+", 0.299250425], + ["Se2+", "Ho3+", 0.1003087746], + ["Ho3+", "Se2+", 0.1003087746], + ["Se2+", "Ho2+", 0.3109456786], + ["Ho2+", "Se2+", 0.3109456786], + ["Se2+", "Er3+", 0.0361755224], + ["Er3+", "Se2+", 0.0361755224], + ["Se2+", "Tm3+", 0.1540064322], + ["Tm3+", "Se2+", 0.1540064322], + ["Se2+", "Tm2+", 0.3044721185], + ["Tm2+", "Se2+", 0.3044721185], + ["Se2+", "Yb3+", 0.1307536052], + ["Yb3+", "Se2+", 0.1307536052], + ["Se2+", "Yb2+", 0.260954875], + ["Yb2+", "Se2+", 0.260954875], + ["Se2+", "Lu3+", 0.0660510645], + ["Lu3+", "Se2+", 0.0660510645], + ["Se2+", "Hf3+", 0.1903558095], + ["Hf3+", "Se2+", 0.1903558095], + ["Se2+", "Hf2+", 0.1566378448], + ["Hf2+", "Se2+", 0.1566378448], + ["Se2+", "Hf4+", 0.1135878944], + ["Hf4+", "Se2+", 0.1135878944], + ["Se2+", "Ta5+", 0.2489153083], + ["Ta5+", "Se2+", 0.2489153083], + ["Se2+", "Ta3+", 0.2582541082], + ["Ta3+", "Se2+", 0.2582541082], + ["Se2+", "Ta4+", 0.3127544163], + ["Ta4+", "Se2+", 0.3127544163], + ["Se2+", "Ta2+", 0.2638692025], + ["Ta2+", "Se2+", 0.2638692025], + ["Se2+", "W6+", 0.4286652708], + ["W6+", "Se2+", 0.4286652708], + ["Se2+", "W4+", 0.2897335591], + ["W4+", "Se2+", 0.2897335591], + ["Se2+", "W2+", 0.5149604362], + ["W2+", "Se2+", 0.5149604362], + ["Se2+", "W3+", 0.3540522493], + ["W3+", "Se2+", 0.3540522493], + ["Se2+", "W5+", 0.2980844467], + ["W5+", "Se2+", 0.2980844467], + ["Se2+", "Re5+", 0.3686559078], + ["Re5+", "Se2+", 0.3686559078], + ["Se2+", "Re3+", 0.4431404042], + ["Re3+", "Se2+", 0.4431404042], + ["Se2+", "Re6+", 0.190082932], + ["Re6+", "Se2+", 0.190082932], + ["Se2+", "Re2+", 0.247605327], + ["Re2+", "Se2+", 0.247605327], + ["Se2+", "Re4+", 0.3558819342], + ["Re4+", "Se2+", 0.3558819342], + ["Se2+", "Re7+", 0.221949935], + ["Re7+", "Se2+", 0.221949935], + ["Se2+", "Os7+", 0.1305285741], + ["Os7+", "Se2+", 0.1305285741], + ["Se2+", "Os6+", 0.2330759911], + ["Os6+", "Se2+", 0.2330759911], + ["Se2+", "Os5+", -0.0276855167], + ["Os5+", "Se2+", -0.0276855167], + ["Se2+", "Os2-", 0.0164596167], + ["Os2-", "Se2+", 0.0164596167], + ["Se2+", "Os3+", 0.2973023271], + ["Os3+", "Se2+", 0.2973023271], + ["Se2+", "Os4+", 0.3970984079], + ["Os4+", "Se2+", 0.3970984079], + ["Se2+", "Os8+", 0.3434976211], + ["Os8+", "Se2+", 0.3434976211], + ["Se2+", "Os2+", 0.2992380535], + ["Os2+", "Se2+", 0.2992380535], + ["Se2+", "Ir3+", 0.3378619686], + ["Ir3+", "Se2+", 0.3378619686], + ["Se2+", "Ir4+", 0.2597515938], + ["Ir4+", "Se2+", 0.2597515938], + ["Se2+", "Ir5+", 0.3070611801], + ["Ir5+", "Se2+", 0.3070611801], + ["Se2+", "Ir6+", 0.4318121394], + ["Ir6+", "Se2+", 0.4318121394], + ["Se2+", "Pt2+", 0.4757656341], + ["Pt2+", "Se2+", 0.4757656341], + ["Se2+", "Pt2-", 0.0187850014], + ["Pt2-", "Se2+", 0.0187850014], + ["Se2+", "Pt4+", 0.2827965107], + ["Pt4+", "Se2+", 0.2827965107], + ["Se2+", "Pt3+", 0.0165675592], + ["Pt3+", "Se2+", 0.0165675592], + ["Se2+", "Pt5+", 0.2650456026], + ["Pt5+", "Se2+", 0.2650456026], + ["Se2+", "Pt6+", 0.3516959523], + ["Pt6+", "Se2+", 0.3516959523], + ["Se2+", "Au2+", -0.0182036073], + ["Au2+", "Se2+", -0.0182036073], + ["Se2+", "Au3+", 0.1400855281], + ["Au3+", "Se2+", 0.1400855281], + ["Se2+", "Au5+", 0.1195821004], + ["Au5+", "Se2+", 0.1195821004], + ["Se2+", "Au4+", 0.2045020836], + ["Au4+", "Se2+", 0.2045020836], + ["Se2+", "Hg2+", 0.4743194832], + ["Hg2+", "Se2+", 0.4743194832], + ["Se2+", "Tl3+", 0.1624452479], + ["Tl3+", "Se2+", 0.1624452479], + ["Se2+", "Tl2+", 0.0196504926], + ["Tl2+", "Se2+", 0.0196504926], + ["Se2+", "Pb2+", 0.4010026346], + ["Pb2+", "Se2+", 0.4010026346], + ["Se2+", "Pb3+", 0.1718093276], + ["Pb3+", "Se2+", 0.1718093276], + ["Se2+", "Pb4+", 0.1712835229], + ["Pb4+", "Se2+", 0.1712835229], + ["Se2+", "Bi3+", 0.3020139085], + ["Bi3+", "Se2+", 0.3020139085], + ["Se2+", "Bi5+", 0.013816351], + ["Bi5+", "Se2+", 0.013816351], + ["Se2+", "Bi2+", 0.4330732216], + ["Bi2+", "Se2+", 0.4330732216], + ["Se2+", "Bi3-", 0.0207553182], + ["Bi3-", "Se2+", 0.0207553182], + ["Se2+", "Bi4+", -0.0988304377], + ["Bi4+", "Se2+", -0.0988304377], + ["Se2+", "Ac3+", 0.3806539995], + ["Ac3+", "Se2+", 0.3806539995], + ["Se2+", "Th4+", -0.1715603091], + ["Th4+", "Se2+", -0.1715603091], + ["Se2+", "Th3+", 0.1183282338], + ["Th3+", "Se2+", 0.1183282338], + ["Se2+", "Pa4+", 0.2873337289], + ["Pa4+", "Se2+", 0.2873337289], + ["Se2+", "Pa5+", 0.2292574791], + ["Pa5+", "Se2+", 0.2292574791], + ["Se2+", "Pa3+", 0.0361993677], + ["Pa3+", "Se2+", 0.0361993677], + ["Se2+", "U6+", 0.096363405], + ["U6+", "Se2+", 0.096363405], + ["Se2+", "U4+", -0.0629700809], + ["U4+", "Se2+", -0.0629700809], + ["Se2+", "U3+", 0.1400505626], + 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0.1721160402], + ["Li1+", "Se2+", 0.1721160402], + ["Se2+", "B1+", 0.241410605], + ["B1+", "Se2+", 0.241410605], + ["Se2+", "B1-", -0.0231747308], + ["B1-", "Se2+", -0.0231747308], + ["Se2+", "C1-", 0.3027464898], + ["C1-", "Se2+", 0.3027464898], + ["Se2+", "C1+", 0.3133830635], + ["C1+", "Se2+", 0.3133830635], + ["Se2+", "N1-", 0.2852744786], + ["N1-", "Se2+", 0.2852744786], + ["Se2+", "N1+", 0.3698804721], + ["N1+", "Se2+", 0.3698804721], + ["Se2+", "O1-", 0.0765121266], + ["O1-", "Se2+", 0.0765121266], + ["Se2+", "F1-", 0.0571169679], + ["F1-", "Se2+", 0.0571169679], + ["Se2+", "Na1+", 0.1259504376], + ["Na1+", "Se2+", 0.1259504376], + ["Se2+", "Si1-", -0.0052856525], + ["Si1-", "Se2+", -0.0052856525], + ["Se2+", "P1+", 0.047070935], + ["P1+", "Se2+", 0.047070935], + ["Se2+", "P1-", -0.0182165245], + ["P1-", "Se2+", -0.0182165245], + ["Se2+", "S1-", 0.157814493], + ["S1-", "Se2+", 0.157814493], + ["Se2+", "S1+", 0.4676488918], + ["S1+", "Se2+", 0.4676488918], + ["Se2+", "Cl1-", 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0.37530789], + ["Se2+", "Cs1+", 0.4027316327], + ["Cs1+", "Se2+", 0.4027316327], + ["Se2+", "La1+", 0.0860040804], + ["La1+", "Se2+", 0.0860040804], + ["Se2+", "Tb1+", 0.2975458465], + ["Tb1+", "Se2+", 0.2975458465], + ["Se2+", "Ta1+", 0.1270950106], + ["Ta1+", "Se2+", 0.1270950106], + ["Se2+", "Os1-", -0.0016101381], + ["Os1-", "Se2+", -0.0016101381], + ["Se2+", "Os1+", 0.2963504156], + ["Os1+", "Se2+", 0.2963504156], + ["Se2+", "Pt1-", -0.0939838981], + ["Pt1-", "Se2+", -0.0939838981], + ["Se2+", "Pt1+", 0.0695942959], + ["Pt1+", "Se2+", 0.0695942959], + ["Se2+", "Au1-", -0.0813784563], + ["Au1-", "Se2+", -0.0813784563], + ["Se2+", "Au1+", 0.3696903585], + ["Au1+", "Se2+", 0.3696903585], + ["Se2+", "Hg1+", 0.3098862869], + ["Hg1+", "Se2+", 0.3098862869], + ["Se2+", "Tl1+", 0.3767329652], + ["Tl1+", "Se2+", 0.3767329652], + ["Se2+", "Bi1+", 0.3142528222], + ["Bi1+", "Se2+", 0.3142528222], + ["Se3+", "Se3+", 1.0], + ["Se3+", "Br2+", 0.1910637797], + ["Br2+", "Se3+", 0.1910637797], + 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0.1902209143], + ["Se3+", "Mo6+", 0.1098948585], + ["Mo6+", "Se3+", 0.1098948585], + ["Se3+", "Mo5+", 0.4213471628], + ["Mo5+", "Se3+", 0.4213471628], + ["Se3+", "Mo2+", 0.0318722359], + ["Mo2+", "Se3+", 0.0318722359], + ["Se3+", "Tc4+", 0.1847522031], + ["Tc4+", "Se3+", 0.1847522031], + ["Se3+", "Tc3-", 0.0239479816], + ["Tc3-", "Se3+", 0.0239479816], + ["Se3+", "Tc3+", 0.1173621066], + ["Tc3+", "Se3+", 0.1173621066], + ["Se3+", "Tc7+", 0.1218421171], + ["Tc7+", "Se3+", 0.1218421171], + ["Se3+", "Tc5+", 0.286237591], + ["Tc5+", "Se3+", 0.286237591], + ["Se3+", "Tc6+", 0.1389069], + ["Tc6+", "Se3+", 0.1389069], + ["Se3+", "Tc2-", -0.1556829023], + ["Tc2-", "Se3+", -0.1556829023], + ["Se3+", "Tc2+", 0.2510768064], + ["Tc2+", "Se3+", 0.2510768064], + ["Se3+", "Ru2+", 0.169934031], + ["Ru2+", "Se3+", 0.169934031], + ["Se3+", "Ru6+", 0.2363827887], + ["Ru6+", "Se3+", 0.2363827887], + ["Se3+", "Ru4+", 0.4488563017], + ["Ru4+", "Se3+", 0.4488563017], + ["Se3+", "Ru5+", 0.2430625168], + 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0.4792255454], + ["Sb5+", "Se3+", 0.4792255454], + ["Se3+", "Sb2-", 0.0173735956], + ["Sb2-", "Se3+", 0.0173735956], + ["Se3+", "Sb3-", 0.0340959623], + ["Sb3-", "Se3+", 0.0340959623], + ["Se3+", "Sb3+", 0.1266400913], + ["Sb3+", "Se3+", 0.1266400913], + ["Se3+", "Sb4+", 0.2242680995], + ["Sb4+", "Se3+", 0.2242680995], + ["Se3+", "Te2-", 0.3918689428], + ["Te2-", "Se3+", 0.3918689428], + ["Se3+", "Te4+", 0.2236581996], + ["Te4+", "Se3+", 0.2236581996], + ["Se3+", "Te6+", 0.0712569155], + ["Te6+", "Se3+", 0.0712569155], + ["Se3+", "Te2+", 0.0830766188], + ["Te2+", "Se3+", 0.0830766188], + ["Se3+", "Te5+", 0.091936205], + ["Te5+", "Se3+", 0.091936205], + ["Se3+", "I3+", 0.2506740808], + ["I3+", "Se3+", 0.2506740808], + ["Se3+", "I7+", 0.076342862], + ["I7+", "Se3+", 0.076342862], + ["Se3+", "I5+", 0.2764459287], + ["I5+", "Se3+", 0.2764459287], + ["Se3+", "I2+", 0.1464728257], + ["I2+", "Se3+", 0.1464728257], + ["Se3+", "Ba2+", 0.1571923751], + ["Ba2+", "Se3+", 0.1571923751], + ["Se3+", 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0.3424848024], + ["Se3+", "Gd2+", 0.0239358544], + ["Gd2+", "Se3+", 0.0239358544], + ["Se3+", "Gd3+", 0.0406326776], + ["Gd3+", "Se3+", 0.0406326776], + ["Se3+", "Tb3+", -0.0838428844], + ["Tb3+", "Se3+", -0.0838428844], + ["Se3+", "Tb2+", -0.0115268569], + ["Tb2+", "Se3+", -0.0115268569], + ["Se3+", "Tb4+", -0.0211766978], + ["Tb4+", "Se3+", -0.0211766978], + ["Se3+", "Dy3+", -0.0927873771], + ["Dy3+", "Se3+", -0.0927873771], + ["Se3+", "Dy2+", 0.1795799058], + ["Dy2+", "Se3+", 0.1795799058], + ["Se3+", "Ho3+", -0.0005062786], + ["Ho3+", "Se3+", -0.0005062786], + ["Se3+", "Ho2+", 0.1176392125], + ["Ho2+", "Se3+", 0.1176392125], + ["Se3+", "Er3+", -0.0112184904], + ["Er3+", "Se3+", -0.0112184904], + ["Se3+", "Tm3+", 0.0082229345], + ["Tm3+", "Se3+", 0.0082229345], + ["Se3+", "Tm2+", 0.1889939907], + ["Tm2+", "Se3+", 0.1889939907], + ["Se3+", "Yb3+", 0.043701132], + ["Yb3+", "Se3+", 0.043701132], + ["Se3+", "Yb2+", -0.1060333941], + ["Yb2+", "Se3+", -0.1060333941], + ["Se3+", "Lu3+", 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"Re6+", 0.2193630923], + ["Re6+", "Se3+", 0.2193630923], + ["Se3+", "Re2+", 0.3962023302], + ["Re2+", "Se3+", 0.3962023302], + ["Se3+", "Re4+", 0.2943250685], + ["Re4+", "Se3+", 0.2943250685], + ["Se3+", "Re7+", 0.219452756], + ["Re7+", "Se3+", 0.219452756], + ["Se3+", "Os7+", 0.2603420957], + ["Os7+", "Se3+", 0.2603420957], + ["Se3+", "Os6+", 0.4866548335], + ["Os6+", "Se3+", 0.4866548335], + ["Se3+", "Os5+", 0.1246611696], + ["Os5+", "Se3+", 0.1246611696], + ["Se3+", "Os2-", -0.2524835025], + ["Os2-", "Se3+", -0.2524835025], + ["Se3+", "Os3+", 0.2641306042], + ["Os3+", "Se3+", 0.2641306042], + ["Se3+", "Os4+", 0.2342210871], + ["Os4+", "Se3+", 0.2342210871], + ["Se3+", "Os8+", 0.3210193648], + ["Os8+", "Se3+", 0.3210193648], + ["Se3+", "Os2+", 0.1467961905], + ["Os2+", "Se3+", 0.1467961905], + ["Se3+", "Ir3+", 0.157521402], + ["Ir3+", "Se3+", 0.157521402], + ["Se3+", "Ir4+", 0.2069719441], + ["Ir4+", "Se3+", 0.2069719441], + ["Se3+", "Ir5+", 0.2967698451], + ["Ir5+", "Se3+", 0.2967698451], + ["Se3+", "Ir6+", 0.2423973441], + ["Ir6+", "Se3+", 0.2423973441], + ["Se3+", "Pt2+", 0.1889291529], + ["Pt2+", "Se3+", 0.1889291529], + ["Se3+", "Pt2-", -0.1293126469], + ["Pt2-", "Se3+", -0.1293126469], + ["Se3+", "Pt4+", 0.173257987], + ["Pt4+", "Se3+", 0.173257987], + ["Se3+", "Pt3+", 0.0900590432], + ["Pt3+", "Se3+", 0.0900590432], + ["Se3+", "Pt5+", 0.0181409625], + ["Pt5+", "Se3+", 0.0181409625], + ["Se3+", "Pt6+", 0.3170740657], + ["Pt6+", "Se3+", 0.3170740657], + ["Se3+", "Au2+", 0.0338520861], + ["Au2+", "Se3+", 0.0338520861], + ["Se3+", "Au3+", 0.0706714213], + ["Au3+", "Se3+", 0.0706714213], + ["Se3+", "Au5+", 0.0056885256], + ["Au5+", "Se3+", 0.0056885256], + ["Se3+", "Au4+", -0.1133628012], + ["Au4+", "Se3+", -0.1133628012], + ["Se3+", "Hg2+", 0.2245508561], + ["Hg2+", "Se3+", 0.2245508561], + ["Se3+", "Tl3+", 0.1368881884], + ["Tl3+", "Se3+", 0.1368881884], + ["Se3+", "Tl2+", 0.0153509839], + ["Tl2+", "Se3+", 0.0153509839], + ["Se3+", "Pb2+", 0.275144866], + ["Pb2+", "Se3+", 0.275144866], + ["Se3+", "Pb3+", 0.2984366252], + ["Pb3+", "Se3+", 0.2984366252], + ["Se3+", "Pb4+", 0.2012076381], + ["Pb4+", "Se3+", 0.2012076381], + ["Se3+", "Bi3+", 0.2138958249], + ["Bi3+", "Se3+", 0.2138958249], + ["Se3+", "Bi5+", 0.2583977815], + ["Bi5+", "Se3+", 0.2583977815], + ["Se3+", "Bi2+", 0.198835759], + ["Bi2+", "Se3+", 0.198835759], + ["Se3+", "Bi3-", -0.0154762253], + ["Bi3-", "Se3+", -0.0154762253], + ["Se3+", "Bi4+", 0.0203782392], + ["Bi4+", "Se3+", 0.0203782392], + ["Se3+", "Ac3+", 0.1567521373], + ["Ac3+", "Se3+", 0.1567521373], + ["Se3+", "Th4+", -0.2107652743], + ["Th4+", "Se3+", -0.2107652743], + ["Se3+", "Th3+", -0.1484366159], + ["Th3+", "Se3+", -0.1484366159], + ["Se3+", "Pa4+", 0.1486844929], + ["Pa4+", "Se3+", 0.1486844929], + ["Se3+", "Pa5+", 0.1865612731], + ["Pa5+", "Se3+", 0.1865612731], + ["Se3+", "Pa3+", -0.0654460814], + ["Pa3+", "Se3+", -0.0654460814], + ["Se3+", "U6+", 0.084491891], + ["U6+", "Se3+", 0.084491891], + ["Se3+", "U4+", -0.1639716907], + ["U4+", "Se3+", -0.1639716907], + ["Se3+", "U3+", -0.2251281784], + ["U3+", "Se3+", -0.2251281784], + ["Se3+", "U2+", 0.0569408232], + ["U2+", "Se3+", 0.0569408232], + ["Se3+", "U5+", 0.2628183523], + ["U5+", "Se3+", 0.2628183523], + ["Se3+", "Np6+", 0.0906821241], + ["Np6+", "Se3+", 0.0906821241], + ["Se3+", "Np4+", 0.0490769759], + ["Np4+", "Se3+", 0.0490769759], + ["Se3+", "Np3+", -0.1733428666], + ["Np3+", "Se3+", -0.1733428666], + ["Se3+", "Np7+", 0.2847484027], + ["Np7+", "Se3+", 0.2847484027], + ["Se3+", "Np5+", 0.2078639892], + ["Np5+", "Se3+", 0.2078639892], + ["Se3+", "Pu7+", 0.2410737366], + ["Pu7+", "Se3+", 0.2410737366], + ["Se3+", "Pu6+", 0.1972918047], + ["Pu6+", "Se3+", 0.1972918047], + ["Se3+", "Pu3+", 0.0651534927], + ["Pu3+", "Se3+", 0.0651534927], + ["Se3+", "Pu4+", 0.0865981124], + ["Pu4+", "Se3+", 0.0865981124], + ["Se3+", "Pu5+", 0.2898384447], + ["Pu5+", "Se3+", 0.2898384447], + ["Se3+", "H1+", 0.4632416332], + ["H1+", "Se3+", 0.4632416332], + ["Se3+", "H1-", 0.2012043852], + ["H1-", "Se3+", 0.2012043852], + ["Se3+", "Li1+", 0.171848145], + ["Li1+", "Se3+", 0.171848145], + ["Se3+", "B1+", 0.090137592], + ["B1+", "Se3+", 0.090137592], + ["Se3+", "B1-", 0.0453680157], + ["B1-", "Se3+", 0.0453680157], + ["Se3+", "C1-", 0.3426878503], + ["C1-", "Se3+", 0.3426878503], + ["Se3+", "C1+", 0.3566421854], + ["C1+", "Se3+", 0.3566421854], + ["Se3+", "N1-", 0.1243580617], + ["N1-", "Se3+", 0.1243580617], + ["Se3+", "N1+", 0.2140233073], + ["N1+", "Se3+", 0.2140233073], + ["Se3+", "O1-", 0.2692069122], + ["O1-", "Se3+", 0.2692069122], + ["Se3+", "F1-", 0.0546036996], + ["F1-", "Se3+", 0.0546036996], + ["Se3+", "Na1+", 0.2167028431], + ["Na1+", "Se3+", 0.2167028431], + ["Se3+", "Si1-", 0.0484417013], + ["Si1-", "Se3+", 0.0484417013], + ["Se3+", "P1+", -0.1828348359], + ["P1+", "Se3+", -0.1828348359], + ["Se3+", "P1-", 0.040387237], + ["P1-", "Se3+", 0.040387237], + ["Se3+", "S1-", 0.1155699574], + ["S1-", "Se3+", 0.1155699574], + ["Se3+", "S1+", 0.3312789115], + ["S1+", "Se3+", 0.3312789115], + ["Se3+", "Cl1-", 0.27299564], + ["Cl1-", "Se3+", 0.27299564], + ["Se3+", "K1+", 0.2222160636], + ["K1+", "Se3+", 0.2222160636], + ["Se3+", "Sc1+", 0.2935563613], + ["Sc1+", "Se3+", 0.2935563613], + ["Se3+", "Mn1+", -0.0082406473], + ["Mn1+", "Se3+", -0.0082406473], + ["Se3+", "Fe1+", 0.0691892836], + ["Fe1+", "Se3+", 0.0691892836], + ["Se3+", "Co1+", 0.1016868856], + ["Co1+", "Se3+", 0.1016868856], + ["Se3+", "Ni1+", -0.0218408395], + ["Ni1+", "Se3+", -0.0218408395], + ["Se3+", "Cu1+", -0.0099198569], + ["Cu1+", "Se3+", -0.0099198569], + ["Se3+", "Ga1+", 0.1232275447], + ["Ga1+", "Se3+", 0.1232275447], + ["Se3+", "As1-", -0.0759281941], + ["As1-", "Se3+", -0.0759281941], + ["Se3+", "As1+", -0.0037326866], + ["As1+", "Se3+", -0.0037326866], + ["Se3+", "Se1-", -0.0081980716], + ["Se1-", "Se3+", -0.0081980716], + ["Se3+", "Se1+", 0.5545903858], + ["Se1+", "Se3+", 0.5545903858], + ["Se3+", "Br1-", 0.1607773592], + ["Br1-", "Se3+", 0.1607773592], + ["Se3+", "Br1+", 0.4624527843], + ["Br1+", "Se3+", 0.4624527843], + ["Se3+", "Rb1+", 0.2314660528], + ["Rb1+", "Se3+", 0.2314660528], + ["Se3+", "Y1+", -0.0969866131], + ["Y1+", "Se3+", -0.0969866131], + ["Se3+", "Zr1+", -0.2152913179], + ["Zr1+", "Se3+", -0.2152913179], + ["Se3+", "Nb1+", 0.0511893035], + ["Nb1+", "Se3+", 0.0511893035], + ["Se3+", "Tc1-", 0.1419838945], + ["Tc1-", "Se3+", 0.1419838945], + ["Se3+", "Tc1+", 0.1733570472], + ["Tc1+", "Se3+", 0.1733570472], + ["Se3+", "Rh1+", -0.0339419184], + ["Rh1+", "Se3+", -0.0339419184], + ["Se3+", "Ag1+", 0.1318387405], + ["Ag1+", "Se3+", 0.1318387405], + ["Se3+", "In1+", 0.2446615189], + ["In1+", "Se3+", 0.2446615189], + ["Se3+", "Sb1-", -0.0410054497], + ["Sb1-", "Se3+", -0.0410054497], + ["Se3+", "Sb1+", -0.0395831737], + ["Sb1+", "Se3+", -0.0395831737], + ["Se3+", "Te1-", 0.1170741473], + ["Te1-", "Se3+", 0.1170741473], + ["Se3+", "Te1+", 0.2449391383], + ["Te1+", "Se3+", 0.2449391383], + ["Se3+", "I1-", 0.1460674917], + ["I1-", "Se3+", 0.1460674917], + ["Se3+", "I1+", 0.5048138595], + ["I1+", "Se3+", 0.5048138595], + ["Se3+", "Cs1+", 0.1486462694], + ["Cs1+", "Se3+", 0.1486462694], + ["Se3+", "La1+", 0.0731832688], + ["La1+", "Se3+", 0.0731832688], + ["Se3+", "Tb1+", -0.01227728], + ["Tb1+", "Se3+", -0.01227728], + ["Se3+", "Ta1+", -0.0546209832], + ["Ta1+", "Se3+", -0.0546209832], + ["Se3+", "Os1-", -0.0533254976], + ["Os1-", "Se3+", -0.0533254976], + ["Se3+", "Os1+", 0.1707940887], + ["Os1+", "Se3+", 0.1707940887], + ["Se3+", "Pt1-", -0.1705572326], + ["Pt1-", "Se3+", -0.1705572326], + ["Se3+", "Pt1+", 0.0673641155], + ["Pt1+", "Se3+", 0.0673641155], + ["Se3+", "Au1-", -0.0063500365], + ["Au1-", "Se3+", -0.0063500365], + ["Se3+", "Au1+", 0.1975701242], + ["Au1+", "Se3+", 0.1975701242], + ["Se3+", "Hg1+", 0.2838632689], + ["Hg1+", "Se3+", 0.2838632689], + ["Se3+", "Tl1+", 0.2449245371], + ["Tl1+", "Se3+", 0.2449245371], + ["Se3+", "Bi1+", 0.1651669096], + ["Bi1+", "Se3+", 0.1651669096], + ["Br2+", "Br2+", 1.0], + ["Br2+", "Br5+", 0.0083031035], + ["Br5+", "Br2+", 0.0083031035], + ["Br2+", "Br3+", 0.0369405138], + ["Br3+", "Br2+", 0.0369405138], + ["Br2+", "Sr2+", 0.3070079115], + ["Sr2+", "Br2+", 0.3070079115], + ["Br2+", "Y3+", 0.1966784547], + ["Y3+", "Br2+", 0.1966784547], + ["Br2+", "Y2+", 0.2155248172], + ["Y2+", "Br2+", 0.2155248172], + ["Br2+", "Zr2+", 0.0209017983], + ["Zr2+", "Br2+", 0.0209017983], + ["Br2+", "Zr4+", 0.2326749719], + ["Zr4+", "Br2+", 0.2326749719], + ["Br2+", "Zr3+", 0.1914559301], + ["Zr3+", "Br2+", 0.1914559301], + ["Br2+", "Nb5+", 0.2262871422], + ["Nb5+", "Br2+", 0.2262871422], + ["Br2+", "Nb3+", 0.2794023142], + ["Nb3+", "Br2+", 0.2794023142], + ["Br2+", "Nb4+", 0.2711170836], + ["Nb4+", "Br2+", 0.2711170836], + ["Br2+", "Nb2+", 0.1552933476], + ["Nb2+", "Br2+", 0.1552933476], + ["Br2+", "Nb7+", 0.2035278588], + ["Nb7+", "Br2+", 0.2035278588], + ["Br2+", "Mo3+", 0.2844633021], + ["Mo3+", "Br2+", 0.2844633021], + ["Br2+", "Mo4+", 0.3372372535], + ["Mo4+", "Br2+", 0.3372372535], + ["Br2+", "Mo6+", 0.3411380061], + ["Mo6+", "Br2+", 0.3411380061], + ["Br2+", "Mo5+", 0.1364760099], + ["Mo5+", "Br2+", 0.1364760099], + ["Br2+", "Mo2+", 0.2590968543], + ["Mo2+", "Br2+", 0.2590968543], + ["Br2+", "Tc4+", 0.0574435215], + ["Tc4+", "Br2+", 0.0574435215], + ["Br2+", "Tc3-", 0.1424772524], + ["Tc3-", "Br2+", 0.1424772524], + ["Br2+", "Tc3+", 0.2927089838], + ["Tc3+", "Br2+", 0.2927089838], + ["Br2+", "Tc7+", 0.0318374354], + ["Tc7+", "Br2+", 0.0318374354], + ["Br2+", "Tc5+", 0.1519239187], + ["Tc5+", "Br2+", 0.1519239187], + ["Br2+", "Tc6+", 0.0673477205], + ["Tc6+", "Br2+", 0.0673477205], + ["Br2+", "Tc2-", 0.0351860752], + ["Tc2-", "Br2+", 0.0351860752], + ["Br2+", "Tc2+", 0.0797954689], + ["Tc2+", "Br2+", 0.0797954689], + ["Br2+", "Ru2+", 0.1212646007], + ["Ru2+", "Br2+", 0.1212646007], + ["Br2+", "Ru6+", 0.1605075354], + ["Ru6+", "Br2+", 0.1605075354], + ["Br2+", "Ru4+", 0.2683616581], + ["Ru4+", "Br2+", 0.2683616581], + ["Br2+", "Ru5+", 0.2699195742], + ["Ru5+", "Br2+", 0.2699195742], + ["Br2+", "Ru3+", 0.0939237272], + ["Ru3+", "Br2+", 0.0939237272], + ["Br2+", "Rh4+", 0.210370477], + ["Rh4+", "Br2+", 0.210370477], + ["Br2+", "Rh3+", 0.2279045914], + ["Rh3+", "Br2+", 0.2279045914], + ["Br2+", "Pd2+", 0.1814793142], + ["Pd2+", "Br2+", 0.1814793142], + ["Br2+", "Pd4+", 0.0936548188], + ["Pd4+", "Br2+", 0.0936548188], + ["Br2+", "Pd3+", -0.0491163248], + ["Pd3+", "Br2+", -0.0491163248], + ["Br2+", "Ag3+", 0.1424192813], + ["Ag3+", "Br2+", 0.1424192813], + ["Br2+", "Ag2+", -0.0343058929], + ["Ag2+", "Br2+", -0.0343058929], + ["Br2+", "Cd2+", 0.2648299359], + ["Cd2+", "Br2+", 0.2648299359], + ["Br2+", "In3+", 0.3381374161], + ["In3+", "Br2+", 0.3381374161], + ["Br2+", "In2+", 0.2347987802], + ["In2+", "Br2+", 0.2347987802], + ["Br2+", "Sn4+", 0.3743533703], + ["Sn4+", "Br2+", 0.3743533703], + ["Br2+", "Sn3+", 0.1462530885], + ["Sn3+", "Br2+", 0.1462530885], + ["Br2+", "Sn2+", 0.2040894915], + ["Sn2+", "Br2+", 0.2040894915], + ["Br2+", "Sb5+", 0.2006872369], + ["Sb5+", "Br2+", 0.2006872369], + ["Br2+", "Sb2-", 0.0225490442], + ["Sb2-", "Br2+", 0.0225490442], + ["Br2+", "Sb3-", 0.0524428591], + ["Sb3-", "Br2+", 0.0524428591], + ["Br2+", "Sb3+", 0.2572820045], + ["Sb3+", "Br2+", 0.2572820045], + ["Br2+", "Sb4+", 0.041792753], + ["Sb4+", "Br2+", 0.041792753], + ["Br2+", "Te2-", 0.2562095922], + ["Te2-", "Br2+", 0.2562095922], + ["Br2+", "Te4+", 0.2781538684], + ["Te4+", "Br2+", 0.2781538684], + ["Br2+", "Te6+", 0.0800897975], + ["Te6+", "Br2+", 0.0800897975], + ["Br2+", "Te2+", 0.1423776006], + ["Te2+", "Br2+", 0.1423776006], + ["Br2+", "Te5+", 0.2427265978], + ["Te5+", "Br2+", 0.2427265978], + ["Br2+", "I3+", 0.061223767], + ["I3+", "Br2+", 0.061223767], + ["Br2+", "I7+", 0.1401587799], + ["I7+", "Br2+", 0.1401587799], + ["Br2+", "I5+", 0.0658351577], + ["I5+", "Br2+", 0.0658351577], + ["Br2+", "I2+", 0.2110132095], + ["I2+", 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0.301162745], + ["Cd2+", "Tc4+", 0.301162745], + ["Tc4+", "In3+", 0.1174743729], + ["In3+", "Tc4+", 0.1174743729], + ["Tc4+", "In2+", 0.0530899052], + ["In2+", "Tc4+", 0.0530899052], + ["Tc4+", "Sn4+", 0.1208552993], + ["Sn4+", "Tc4+", 0.1208552993], + ["Tc4+", "Sn3+", 0.2105258745], + ["Sn3+", "Tc4+", 0.2105258745], + ["Tc4+", "Sn2+", 0.110673175], + ["Sn2+", "Tc4+", 0.110673175], + ["Tc4+", "Sb5+", 0.3014739153], + ["Sb5+", "Tc4+", 0.3014739153], + ["Tc4+", "Sb2-", -0.0166904283], + ["Sb2-", "Tc4+", -0.0166904283], + ["Tc4+", "Sb3-", -0.1789552198], + ["Sb3-", "Tc4+", -0.1789552198], + ["Tc4+", "Sb3+", 0.3104046136], + ["Sb3+", "Tc4+", 0.3104046136], + ["Tc4+", "Sb4+", 0.3920635053], + ["Sb4+", "Tc4+", 0.3920635053], + ["Tc4+", "Te2-", 0.0069651941], + ["Te2-", "Tc4+", 0.0069651941], + ["Tc4+", "Te4+", 0.563038139], + ["Te4+", "Tc4+", 0.563038139], + ["Tc4+", "Te6+", 0.3896724533], + ["Te6+", "Tc4+", 0.3896724533], + ["Tc4+", "Te2+", 0.1815484124], + ["Te2+", "Tc4+", 0.1815484124], + ["Tc4+", "Te5+", 0.2496895783], + ["Te5+", "Tc4+", 0.2496895783], + ["Tc4+", "I3+", 0.2643525168], + ["I3+", "Tc4+", 0.2643525168], + ["Tc4+", "I7+", 0.0871567633], + ["I7+", "Tc4+", 0.0871567633], + ["Tc4+", "I5+", 0.2798930874], + ["I5+", "Tc4+", 0.2798930874], + ["Tc4+", "I2+", 0.2468913573], + ["I2+", "Tc4+", 0.2468913573], + ["Tc4+", "Ba2+", 0.3261033227], + ["Ba2+", "Tc4+", 0.3261033227], + ["Tc4+", "La3+", 0.3370504408], + ["La3+", "Tc4+", 0.3370504408], + ["Tc4+", "La2+", 0.3202215448], + ["La2+", "Tc4+", 0.3202215448], + ["Tc4+", "Ce3+", 0.1653913408], + ["Ce3+", "Tc4+", 0.1653913408], + ["Tc4+", "Ce2+", 0.1901177079], + ["Ce2+", "Tc4+", 0.1901177079], + ["Tc4+", "Ce4+", 0.203527277], + ["Ce4+", "Tc4+", 0.203527277], + ["Tc4+", "Pr3+", 0.2676833398], + ["Pr3+", "Tc4+", 0.2676833398], + ["Tc4+", "Pr4+", 0.1708035825], + ["Pr4+", "Tc4+", 0.1708035825], + ["Tc4+", "Pr2+", 0.3539493524], + ["Pr2+", "Tc4+", 0.3539493524], + ["Tc4+", "Nd3+", 0.2470058284], + ["Nd3+", "Tc4+", 0.2470058284], + ["Tc4+", "Nd2+", 0.3845060258], + ["Nd2+", "Tc4+", 0.3845060258], + ["Tc4+", "Pm3+", 0.1531313287], + ["Pm3+", "Tc4+", 0.1531313287], + ["Tc4+", "Sm3+", 0.1797099139], + ["Sm3+", "Tc4+", 0.1797099139], + ["Tc4+", "Sm2+", 0.2664684129], + ["Sm2+", "Tc4+", 0.2664684129], + ["Tc4+", "Eu2+", 0.1080706158], + ["Eu2+", "Tc4+", 0.1080706158], + ["Tc4+", "Eu3+", 0.3455683707], + ["Eu3+", "Tc4+", 0.3455683707], + ["Tc4+", "Gd2+", 0.1398868353], + ["Gd2+", "Tc4+", 0.1398868353], + ["Tc4+", "Gd3+", 0.3687942515], + ["Gd3+", "Tc4+", 0.3687942515], + ["Tc4+", "Tb3+", 0.1550396263], + ["Tb3+", "Tc4+", 0.1550396263], + ["Tc4+", "Tb2+", 0.2843755118], + ["Tb2+", "Tc4+", 0.2843755118], + ["Tc4+", "Tb4+", 0.2902001806], + ["Tb4+", "Tc4+", 0.2902001806], + ["Tc4+", "Dy3+", 0.2036327802], + ["Dy3+", "Tc4+", 0.2036327802], + ["Tc4+", "Dy2+", 0.2311958468], + ["Dy2+", "Tc4+", 0.2311958468], + ["Tc4+", "Ho3+", 0.1770326199], + ["Ho3+", "Tc4+", 0.1770326199], + ["Tc4+", "Ho2+", 0.223539678], + ["Ho2+", "Tc4+", 0.223539678], + ["Tc4+", "Er3+", 0.238313527], + ["Er3+", "Tc4+", 0.238313527], + ["Tc4+", "Tm3+", 0.1592408001], + ["Tm3+", "Tc4+", 0.1592408001], + ["Tc4+", "Tm2+", 0.2126224221], + ["Tm2+", "Tc4+", 0.2126224221], + ["Tc4+", "Yb3+", 0.1469834777], + ["Yb3+", "Tc4+", 0.1469834777], + ["Tc4+", "Yb2+", 0.0999251835], + ["Yb2+", "Tc4+", 0.0999251835], + ["Tc4+", "Lu3+", 0.1727885646], + ["Lu3+", "Tc4+", 0.1727885646], + ["Tc4+", "Hf3+", 0.0404240338], + ["Hf3+", "Tc4+", 0.0404240338], + ["Tc4+", "Hf2+", 0.1864323554], + ["Hf2+", "Tc4+", 0.1864323554], + ["Tc4+", "Hf4+", 0.1485141532], + ["Hf4+", "Tc4+", 0.1485141532], + ["Tc4+", "Ta5+", 0.1820073744], + ["Ta5+", "Tc4+", 0.1820073744], + ["Tc4+", "Ta3+", 0.0976296084], + ["Ta3+", "Tc4+", 0.0976296084], + ["Tc4+", "Ta4+", 0.1202996436], + ["Ta4+", "Tc4+", 0.1202996436], + ["Tc4+", "Ta2+", 0.1788931196], + ["Ta2+", "Tc4+", 0.1788931196], + ["Tc4+", "W6+", 0.3204920086], + ["W6+", "Tc4+", 0.3204920086], + ["Tc4+", "W4+", 0.3485891223], + ["W4+", "Tc4+", 0.3485891223], + ["Tc4+", "W2+", 0.3510914086], + ["W2+", "Tc4+", 0.3510914086], + ["Tc4+", "W3+", 0.3094272613], + ["W3+", "Tc4+", 0.3094272613], + ["Tc4+", "W5+", 0.4843091805], + ["W5+", "Tc4+", 0.4843091805], + ["Tc4+", "Re5+", 0.143500909], + ["Re5+", "Tc4+", 0.143500909], + ["Tc4+", "Re3+", 0.105691287], + ["Re3+", "Tc4+", 0.105691287], + ["Tc4+", "Re6+", 0.0852649879], + ["Re6+", "Tc4+", 0.0852649879], + ["Tc4+", "Re2+", 0.1161988954], + ["Re2+", "Tc4+", 0.1161988954], + ["Tc4+", "Re4+", 0.2126486674], + ["Re4+", "Tc4+", 0.2126486674], + ["Tc4+", "Re7+", 0.0921108316], + ["Re7+", "Tc4+", 0.0921108316], + ["Tc4+", "Os7+", 0.0082014104], + ["Os7+", "Tc4+", 0.0082014104], + ["Tc4+", "Os6+", 0.06651477], + ["Os6+", "Tc4+", 0.06651477], + ["Tc4+", "Os5+", 0.0149427894], + ["Os5+", "Tc4+", 0.0149427894], + ["Tc4+", "Os2-", 0.0270647098], + ["Os2-", "Tc4+", 0.0270647098], + ["Tc4+", "Os3+", -0.0432644169], + ["Os3+", "Tc4+", -0.0432644169], + ["Tc4+", "Os4+", 0.220726089], + ["Os4+", "Tc4+", 0.220726089], + ["Tc4+", "Os8+", 0.3694661109], + ["Os8+", "Tc4+", 0.3694661109], + ["Tc4+", "Os2+", 0.1330496856], + ["Os2+", "Tc4+", 0.1330496856], + ["Tc4+", "Ir3+", 0.1666446275], + ["Ir3+", "Tc4+", 0.1666446275], + ["Tc4+", "Ir4+", 0.2167927687], + ["Ir4+", "Tc4+", 0.2167927687], + ["Tc4+", "Ir5+", 0.1095016302], + ["Ir5+", "Tc4+", 0.1095016302], + ["Tc4+", "Ir6+", 0.2304699197], + ["Ir6+", "Tc4+", 0.2304699197], + ["Tc4+", "Pt2+", 0.2273401765], + ["Pt2+", "Tc4+", 0.2273401765], + ["Tc4+", "Pt2-", -0.0380076873], + ["Pt2-", "Tc4+", -0.0380076873], + ["Tc4+", "Pt4+", 0.3639405175], + ["Pt4+", "Tc4+", 0.3639405175], + ["Tc4+", "Pt3+", 0.2579399985], + ["Pt3+", "Tc4+", 0.2579399985], + ["Tc4+", "Pt5+", 0.2965384111], + ["Pt5+", "Tc4+", 0.2965384111], + ["Tc4+", "Pt6+", 0.3415817726], + ["Pt6+", "Tc4+", 0.3415817726], + ["Tc4+", "Au2+", 0.2319736202], + ["Au2+", "Tc4+", 0.2319736202], + ["Tc4+", "Au3+", 0.2381232564], + ["Au3+", "Tc4+", 0.2381232564], + ["Tc4+", "Au5+", 0.1294930607], + ["Au5+", "Tc4+", 0.1294930607], + ["Tc4+", "Au4+", 0.1963930921], + ["Au4+", "Tc4+", 0.1963930921], + ["Tc4+", "Hg2+", 0.3605137446], + ["Hg2+", "Tc4+", 0.3605137446], + ["Tc4+", "Tl3+", 0.431906158], + ["Tl3+", "Tc4+", 0.431906158], + ["Tc4+", "Tl2+", 0.1473327878], + ["Tl2+", "Tc4+", 0.1473327878], + ["Tc4+", "Pb2+", 0.3754421729], + ["Pb2+", "Tc4+", 0.3754421729], + ["Tc4+", "Pb3+", 0.4394810272], + ["Pb3+", "Tc4+", 0.4394810272], + ["Tc4+", "Pb4+", 0.1812962658], + ["Pb4+", "Tc4+", 0.1812962658], + ["Tc4+", "Bi3+", 0.4287911556], + ["Bi3+", "Tc4+", 0.4287911556], + ["Tc4+", "Bi5+", 0.4268254622], + ["Bi5+", "Tc4+", 0.4268254622], + ["Tc4+", "Bi2+", 0.2754312364], + ["Bi2+", "Tc4+", 0.2754312364], + ["Tc4+", "Bi3-", 0.0165436557], + ["Bi3-", "Tc4+", 0.0165436557], + ["Tc4+", "Bi4+", 0.1472720009], + ["Bi4+", "Tc4+", 0.1472720009], + ["Tc4+", "Ac3+", 0.1800975468], + ["Ac3+", "Tc4+", 0.1800975468], + ["Tc4+", "Th4+", 0.2167504409], + ["Th4+", "Tc4+", 0.2167504409], + ["Tc4+", "Th3+", 0.0469493047], + ["Th3+", "Tc4+", 0.0469493047], + ["Tc4+", "Pa4+", 0.1654193473], + ["Pa4+", "Tc4+", 0.1654193473], + ["Tc4+", "Pa5+", 0.2616967387], + ["Pa5+", "Tc4+", 0.2616967387], + ["Tc4+", "Pa3+", 0.105845962], + ["Pa3+", "Tc4+", 0.105845962], + ["Tc4+", "U6+", 0.1895393841], + ["U6+", "Tc4+", 0.1895393841], + ["Tc4+", "U4+", 0.1458181855], + ["U4+", "Tc4+", 0.1458181855], + ["Tc4+", "U3+", 0.0430262225], + ["U3+", "Tc4+", 0.0430262225], + ["Tc4+", "U2+", 0.0553432946], + ["U2+", "Tc4+", 0.0553432946], + ["Tc4+", "U5+", 0.2260160417], + ["U5+", "Tc4+", 0.2260160417], + ["Tc4+", "Np6+", 0.0984259659], + ["Np6+", "Tc4+", 0.0984259659], + ["Tc4+", "Np4+", 0.3394868497], + ["Np4+", "Tc4+", 0.3394868497], + ["Tc4+", "Np3+", 0.1117009184], + ["Np3+", "Tc4+", 0.1117009184], + ["Tc4+", "Np7+", 0.2791171022], + ["Np7+", "Tc4+", 0.2791171022], + ["Tc4+", "Np5+", 0.2349369823], + ["Np5+", "Tc4+", 0.2349369823], + ["Tc4+", "Pu7+", 0.1666018927], + ["Pu7+", "Tc4+", 0.1666018927], + ["Tc4+", "Pu6+", 0.2380325486], + ["Pu6+", "Tc4+", 0.2380325486], + ["Tc4+", "Pu3+", 0.1283530108], + ["Pu3+", "Tc4+", 0.1283530108], + ["Tc4+", "Pu4+", 0.2611603192], + ["Pu4+", "Tc4+", 0.2611603192], + ["Tc4+", "Pu5+", 0.2325665541], + ["Pu5+", "Tc4+", 0.2325665541], + ["Tc4+", "H1+", 0.1180463832], + ["H1+", "Tc4+", 0.1180463832], + ["Tc4+", "H1-", -0.1661404545], + ["H1-", "Tc4+", -0.1661404545], + ["Tc4+", "Li1+", 0.2633874674], + ["Li1+", "Tc4+", 0.2633874674], + ["Tc4+", "B1+", 0.2575592603], + ["B1+", "Tc4+", 0.2575592603], + ["Tc4+", "B1-", -0.0189648226], + ["B1-", "Tc4+", -0.0189648226], + ["Tc4+", "C1-", -0.1354263407], + ["C1-", "Tc4+", -0.1354263407], + ["Tc4+", "C1+", 0.2197234807], + ["C1+", "Tc4+", 0.2197234807], + ["Tc4+", "N1-", 0.020927105], + ["N1-", "Tc4+", 0.020927105], + ["Tc4+", "N1+", 0.2413358237], + ["N1+", "Tc4+", 0.2413358237], + ["Tc4+", "O1-", 0.1212941627], + ["O1-", "Tc4+", 0.1212941627], + ["Tc4+", 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["Tc4+", "Ga1+", 0.0561917772], + ["Ga1+", "Tc4+", 0.0561917772], + ["Tc4+", "As1-", -0.0931440465], + ["As1-", "Tc4+", -0.0931440465], + ["Tc4+", "As1+", 0.1228795995], + ["As1+", "Tc4+", 0.1228795995], + ["Tc4+", "Se1-", 0.1052834971], + ["Se1-", "Tc4+", 0.1052834971], + ["Tc4+", "Se1+", 0.3183391114], + ["Se1+", "Tc4+", 0.3183391114], + ["Tc4+", "Br1-", 0.1061902395], + ["Br1-", "Tc4+", 0.1061902395], + ["Tc4+", "Br1+", 0.0515828054], + ["Br1+", "Tc4+", 0.0515828054], + ["Tc4+", "Rb1+", 0.1992149908], + ["Rb1+", "Tc4+", 0.1992149908], + ["Tc4+", "Y1+", 0.1616722501], + ["Y1+", "Tc4+", 0.1616722501], + ["Tc4+", "Zr1+", -0.1345740626], + ["Zr1+", "Tc4+", -0.1345740626], + ["Tc4+", "Nb1+", 0.0162243032], + ["Nb1+", "Tc4+", 0.0162243032], + ["Tc4+", "Tc1-", -0.078740341], + ["Tc1-", "Tc4+", -0.078740341], + ["Tc4+", "Tc1+", 0.2585429569], + ["Tc1+", "Tc4+", 0.2585429569], + ["Tc4+", "Rh1+", 0.1549729398], + ["Rh1+", "Tc4+", 0.1549729398], + ["Tc4+", "Ag1+", 0.2923104074], + ["Ag1+", "Tc4+", 0.2923104074], + ["Tc4+", "In1+", 0.1801745649], + ["In1+", "Tc4+", 0.1801745649], + ["Tc4+", "Sb1-", 0.0153824036], + ["Sb1-", "Tc4+", 0.0153824036], + ["Tc4+", "Sb1+", 0.141451356], + ["Sb1+", "Tc4+", 0.141451356], + ["Tc4+", "Te1-", 0.2064402089], + ["Te1-", "Tc4+", 0.2064402089], + ["Tc4+", "Te1+", 0.4309023598], + ["Te1+", "Tc4+", 0.4309023598], + ["Tc4+", "I1-", 0.1226714934], + ["I1-", "Tc4+", 0.1226714934], + ["Tc4+", "I1+", 0.1039302239], + ["I1+", "Tc4+", 0.1039302239], + ["Tc4+", "Cs1+", 0.2060102002], + ["Cs1+", "Tc4+", 0.2060102002], + ["Tc4+", "La1+", 0.2261997526], + ["La1+", "Tc4+", 0.2261997526], + ["Tc4+", "Tb1+", 0.2841411397], + ["Tb1+", "Tc4+", 0.2841411397], + ["Tc4+", "Ta1+", -0.2120224688], + ["Ta1+", "Tc4+", -0.2120224688], + ["Tc4+", "Os1-", -0.172674142], + ["Os1-", "Tc4+", -0.172674142], + ["Tc4+", "Os1+", 0.3074936912], + ["Os1+", "Tc4+", 0.3074936912], + ["Tc4+", "Pt1-", -0.1119450289], + ["Pt1-", "Tc4+", -0.1119450289], + ["Tc4+", "Pt1+", 0.2317481717], + ["Pt1+", "Tc4+", 0.2317481717], + ["Tc4+", "Au1-", 0.043595813], + ["Au1-", "Tc4+", 0.043595813], + ["Tc4+", "Au1+", 0.2187524871], + ["Au1+", "Tc4+", 0.2187524871], + ["Tc4+", "Hg1+", 0.5213022489], + ["Hg1+", "Tc4+", 0.5213022489], + ["Tc4+", "Tl1+", 0.2929371706], + ["Tl1+", "Tc4+", 0.2929371706], + ["Tc4+", "Bi1+", 0.2244081524], + ["Bi1+", "Tc4+", 0.2244081524], + ["Tc3-", "Tc3-", 1.0], + ["Tc3-", "Tc3+", 0.0434568209], + ["Tc3+", "Tc3-", 0.0434568209], + ["Tc3-", "Tc7+", -0.0949190013], + ["Tc7+", "Tc3-", -0.0949190013], + ["Tc3-", "Tc5+", 0.025611196], + ["Tc5+", "Tc3-", 0.025611196], + ["Tc3-", "Tc6+", -0.02703428], + ["Tc6+", "Tc3-", -0.02703428], + ["Tc3-", "Tc2-", 0.1428961789], + ["Tc2-", "Tc3-", 0.1428961789], + ["Tc3-", "Tc2+", -0.1416508285], + ["Tc2+", "Tc3-", -0.1416508285], + ["Tc3-", "Ru2+", 0.1316509363], + ["Ru2+", "Tc3-", 0.1316509363], + ["Tc3-", "Ru6+", -0.2117115029], + ["Ru6+", "Tc3-", -0.2117115029], + ["Tc3-", "Ru4+", 0.100065961], + ["Ru4+", "Tc3-", 0.100065961], + ["Tc3-", "Ru5+", 0.072737562], + ["Ru5+", "Tc3-", 0.072737562], + ["Tc3-", "Ru3+", 0.1140975594], + ["Ru3+", "Tc3-", 0.1140975594], + ["Tc3-", "Rh4+", 0.0662350443], + ["Rh4+", "Tc3-", 0.0662350443], + ["Tc3-", "Rh3+", 0.2372476896], + ["Rh3+", "Tc3-", 0.2372476896], + ["Tc3-", "Pd2+", 0.0768019589], + ["Pd2+", "Tc3-", 0.0768019589], + ["Tc3-", "Pd4+", -0.1202877047], + ["Pd4+", "Tc3-", -0.1202877047], + ["Tc3-", "Pd3+", -0.1816476045], + ["Pd3+", "Tc3-", -0.1816476045], + ["Tc3-", "Ag3+", -0.2774544094], + ["Ag3+", "Tc3-", -0.2774544094], + ["Tc3-", "Ag2+", -0.2938761754], + ["Ag2+", "Tc3-", -0.2938761754], + ["Tc3-", "Cd2+", -0.0101882341], + ["Cd2+", "Tc3-", -0.0101882341], + ["Tc3-", "In3+", 0.0228321221], + ["In3+", "Tc3-", 0.0228321221], + ["Tc3-", "In2+", -0.0178280357], + ["In2+", "Tc3-", -0.0178280357], + ["Tc3-", "Sn4+", 0.1084410991], + ["Sn4+", "Tc3-", 0.1084410991], + ["Tc3-", "Sn3+", -0.1536173549], + ["Sn3+", "Tc3-", -0.1536173549], + ["Tc3-", "Sn2+", -0.0722590243], + ["Sn2+", "Tc3-", -0.0722590243], + ["Tc3-", "Sb5+", -0.1016795118], + ["Sb5+", "Tc3-", -0.1016795118], + ["Tc3-", "Sb2-", -0.1516700427], + ["Sb2-", "Tc3-", -0.1516700427], + ["Tc3-", "Sb3-", 0.0696863726], + ["Sb3-", "Tc3-", 0.0696863726], + ["Tc3-", "Sb3+", 0.0592344493], + ["Sb3+", "Tc3-", 0.0592344493], + ["Tc3-", "Sb4+", -0.3301383758], + ["Sb4+", "Tc3-", -0.3301383758], + ["Tc3-", "Te2-", 0.3622303852], + ["Te2-", "Tc3-", 0.3622303852], + ["Tc3-", "Te4+", -0.2729808789], + ["Te4+", "Tc3-", -0.2729808789], + ["Tc3-", "Te6+", -0.3632389892], + ["Te6+", "Tc3-", -0.3632389892], + ["Tc3-", "Te2+", -0.0935677483], + ["Te2+", "Tc3-", -0.0935677483], + ["Tc3-", "Te5+", -0.1433944553], + ["Te5+", "Tc3-", -0.1433944553], + ["Tc3-", "I3+", -0.2876476495], + ["I3+", "Tc3-", -0.2876476495], + ["Tc3-", "I7+", -0.2572311628], + ["I7+", "Tc3-", -0.2572311628], + ["Tc3-", "I5+", -0.2099510931], + ["I5+", "Tc3-", -0.2099510931], + ["Tc3-", "I2+", -0.1606153569], + ["I2+", "Tc3-", -0.1606153569], + ["Tc3-", "Ba2+", -0.2335692682], + ["Ba2+", "Tc3-", -0.2335692682], + ["Tc3-", "La3+", -0.0034849126], + ["La3+", "Tc3-", -0.0034849126], + ["Tc3-", "La2+", -0.0677440235], + ["La2+", "Tc3-", -0.0677440235], + ["Tc3-", "Ce3+", 0.1591838599], + ["Ce3+", "Tc3-", 0.1591838599], + ["Tc3-", "Ce2+", 0.0373210673], + ["Ce2+", "Tc3-", 0.0373210673], + ["Tc3-", "Ce4+", -0.0673288385], + ["Ce4+", "Tc3-", -0.0673288385], + ["Tc3-", "Pr3+", -0.1018888851], + ["Pr3+", "Tc3-", -0.1018888851], + ["Tc3-", "Pr4+", 0.1145297437], + ["Pr4+", "Tc3-", 0.1145297437], + ["Tc3-", "Pr2+", -0.1154898366], + ["Pr2+", "Tc3-", -0.1154898366], + ["Tc3-", "Nd3+", -0.0713131223], + ["Nd3+", "Tc3-", -0.0713131223], + ["Tc3-", "Nd2+", -0.1741304903], + ["Nd2+", "Tc3-", -0.1741304903], + ["Tc3-", "Pm3+", 0.1359312013], + ["Pm3+", "Tc3-", 0.1359312013], + ["Tc3-", "Sm3+", -0.0035530172], + ["Sm3+", "Tc3-", -0.0035530172], + ["Tc3-", "Sm2+", -0.1971397737], + ["Sm2+", "Tc3-", -0.1971397737], + ["Tc3-", "Eu2+", -0.1604354681], + ["Eu2+", "Tc3-", -0.1604354681], + ["Tc3-", "Eu3+", -0.1200114697], + ["Eu3+", "Tc3-", -0.1200114697], + ["Tc3-", "Gd2+", -0.1362439887], + ["Gd2+", "Tc3-", -0.1362439887], + ["Tc3-", "Gd3+", -0.1265148367], + ["Gd3+", "Tc3-", -0.1265148367], + ["Tc3-", "Tb3+", 0.1044400768], + ["Tb3+", "Tc3-", 0.1044400768], + ["Tc3-", "Tb2+", -0.2167994268], + ["Tb2+", "Tc3-", -0.2167994268], + ["Tc3-", "Tb4+", -0.0869491894], + ["Tb4+", "Tc3-", -0.0869491894], + ["Tc3-", "Dy3+", -0.0101393985], + ["Dy3+", "Tc3-", -0.0101393985], + ["Tc3-", "Dy2+", -0.1533982745], + ["Dy2+", "Tc3-", -0.1533982745], + ["Tc3-", "Ho3+", 0.011988999], + ["Ho3+", "Tc3-", 0.011988999], + ["Tc3-", "Ho2+", -0.0674289837], + ["Ho2+", "Tc3-", -0.0674289837], + ["Tc3-", "Er3+", 0.0295482773], + ["Er3+", "Tc3-", 0.0295482773], + ["Tc3-", "Tm3+", -0.032665672], + ["Tm3+", "Tc3-", -0.032665672], + ["Tc3-", "Tm2+", 0.0570963923], + ["Tm2+", "Tc3-", 0.0570963923], + ["Tc3-", "Yb3+", -0.1483976883], + ["Yb3+", "Tc3-", -0.1483976883], + ["Tc3-", "Yb2+", -0.0007365139], + ["Yb2+", "Tc3-", -0.0007365139], + ["Tc3-", "Lu3+", -0.0697411862], + ["Lu3+", "Tc3-", -0.0697411862], + ["Tc3-", "Hf3+", 0.1276835228], + ["Hf3+", "Tc3-", 0.1276835228], + ["Tc3-", "Hf2+", -0.0473210851], + ["Hf2+", "Tc3-", -0.0473210851], + ["Tc3-", "Hf4+", -0.0523743364], + ["Hf4+", "Tc3-", -0.0523743364], + ["Tc3-", "Ta5+", 0.0175009779], + ["Ta5+", "Tc3-", 0.0175009779], + ["Tc3-", "Ta3+", 0.0188497449], + ["Ta3+", "Tc3-", 0.0188497449], + ["Tc3-", "Ta4+", 0.1965654595], + ["Ta4+", "Tc3-", 0.1965654595], + ["Tc3-", "Ta2+", 0.099823747], + ["Ta2+", "Tc3-", 0.099823747], + ["Tc3-", "W6+", -0.1580807609], + ["W6+", "Tc3-", -0.1580807609], + ["Tc3-", "W4+", -0.0348013081], + ["W4+", "Tc3-", -0.0348013081], + ["Tc3-", "W2+", 0.08535843], + ["W2+", "Tc3-", 0.08535843], + ["Tc3-", "W3+", 0.0811407654], + ["W3+", "Tc3-", 0.0811407654], + ["Tc3-", "W5+", -0.1714322186], + ["W5+", "Tc3-", -0.1714322186], + ["Tc3-", "Re5+", 0.13258592], + ["Re5+", "Tc3-", 0.13258592], + ["Tc3-", "Re3+", 0.1777999177], + ["Re3+", "Tc3-", 0.1777999177], + ["Tc3-", "Re6+", 0.015213069], + ["Re6+", "Tc3-", 0.015213069], + ["Tc3-", "Re2+", 0.0552858958], + ["Re2+", "Tc3-", 0.0552858958], + ["Tc3-", "Re4+", 0.0964796939], + ["Re4+", "Tc3-", 0.0964796939], + ["Tc3-", "Re7+", 0.123492766], + ["Re7+", "Tc3-", 0.123492766], + ["Tc3-", "Os7+", -0.1308609056], + ["Os7+", "Tc3-", -0.1308609056], + ["Tc3-", "Os6+", -0.0549921019], + ["Os6+", "Tc3-", -0.0549921019], + ["Tc3-", "Os5+", 0.0652260089], + ["Os5+", "Tc3-", 0.0652260089], + ["Tc3-", "Os2-", 0.3780874632], + ["Os2-", "Tc3-", 0.3780874632], + ["Tc3-", "Os3+", 0.0499080525], + ["Os3+", "Tc3-", 0.0499080525], + ["Tc3-", "Os4+", 0.0885524226], + ["Os4+", "Tc3-", 0.0885524226], + ["Tc3-", "Os8+", -0.0230188791], + ["Os8+", "Tc3-", -0.0230188791], + ["Tc3-", "Os2+", -0.0184992151], + ["Os2+", "Tc3-", -0.0184992151], + ["Tc3-", "Ir3+", 0.0940722695], + ["Ir3+", "Tc3-", 0.0940722695], + ["Tc3-", "Ir4+", 0.1193596327], + ["Ir4+", "Tc3-", 0.1193596327], + ["Tc3-", "Ir5+", 0.109023931], + ["Ir5+", "Tc3-", 0.109023931], + ["Tc3-", "Ir6+", -0.1946578087], + ["Ir6+", "Tc3-", -0.1946578087], + ["Tc3-", "Pt2+", 0.1906475507], + ["Pt2+", "Tc3-", 0.1906475507], + ["Tc3-", "Pt2-", 0.3863129821], + ["Pt2-", "Tc3-", 0.3863129821], + ["Tc3-", "Pt4+", -0.0396198786], + ["Pt4+", "Tc3-", -0.0396198786], + ["Tc3-", "Pt3+", -0.0285036045], + ["Pt3+", "Tc3-", -0.0285036045], + ["Tc3-", "Pt5+", -0.0843803882], + ["Pt5+", "Tc3-", -0.0843803882], + ["Tc3-", "Pt6+", -0.1894260339], + ["Pt6+", "Tc3-", -0.1894260339], + ["Tc3-", "Au2+", -0.0531882936], + ["Au2+", "Tc3-", -0.0531882936], + ["Tc3-", "Au3+", -0.1058704243], + ["Au3+", "Tc3-", -0.1058704243], + ["Tc3-", "Au5+", -0.0765949558], + ["Au5+", "Tc3-", -0.0765949558], + ["Tc3-", "Au4+", -0.2063442045], + ["Au4+", "Tc3-", -0.2063442045], + ["Tc3-", "Hg2+", -0.0685210622], + ["Hg2+", "Tc3-", -0.0685210622], + ["Tc3-", "Tl3+", -0.2419653489], + ["Tl3+", "Tc3-", -0.2419653489], + ["Tc3-", "Tl2+", -0.0782738713], + ["Tl2+", "Tc3-", -0.0782738713], + ["Tc3-", "Pb2+", -0.0244787153], + ["Pb2+", "Tc3-", -0.0244787153], + ["Tc3-", "Pb3+", -0.2483061224], + ["Pb3+", "Tc3-", -0.2483061224], + ["Tc3-", "Pb4+", -0.099846871], + ["Pb4+", "Tc3-", -0.099846871], + ["Tc3-", "Bi3+", -0.0616677295], + ["Bi3+", "Tc3-", -0.0616677295], + ["Tc3-", "Bi5+", -0.2300577949], + ["Bi5+", "Tc3-", -0.2300577949], + ["Tc3-", "Bi2+", 0.0020687128], + ["Bi2+", "Tc3-", 0.0020687128], + ["Tc3-", "Bi3-", -0.0853852171], + ["Bi3-", "Tc3-", -0.0853852171], + ["Tc3-", "Bi4+", -0.0604453718], + ["Bi4+", "Tc3-", -0.0604453718], + ["Tc3-", "Ac3+", 0.0505669934], + ["Ac3+", "Tc3-", 0.0505669934], + ["Tc3-", "Th4+", -0.2140155402], + ["Th4+", "Tc3-", -0.2140155402], + ["Tc3-", "Th3+", 0.0203350615], + ["Th3+", "Tc3-", 0.0203350615], + ["Tc3-", "Pa4+", -0.0708190805], + ["Pa4+", "Tc3-", -0.0708190805], + ["Tc3-", "Pa5+", -0.2390329888], + ["Pa5+", "Tc3-", -0.2390329888], + ["Tc3-", "Pa3+", 0.2147639736], + ["Pa3+", "Tc3-", 0.2147639736], + ["Tc3-", "U6+", -0.2073314019], + ["U6+", "Tc3-", -0.2073314019], + ["Tc3-", "U4+", -0.0113356554], + ["U4+", "Tc3-", -0.0113356554], + ["Tc3-", "U3+", 0.0880816567], + ["U3+", "Tc3-", 0.0880816567], + ["Tc3-", "U2+", 0.1969703362], + ["U2+", "Tc3-", 0.1969703362], + ["Tc3-", "U5+", -0.0508433275], + ["U5+", "Tc3-", -0.0508433275], + ["Tc3-", "Np6+", -0.1160971497], + ["Np6+", "Tc3-", -0.1160971497], + ["Tc3-", "Np4+", -0.0057838509], + ["Np4+", "Tc3-", -0.0057838509], + ["Tc3-", "Np3+", 0.1603782767], + ["Np3+", "Tc3-", 0.1603782767], + ["Tc3-", "Np7+", -0.1384232862], + ["Np7+", "Tc3-", -0.1384232862], + ["Tc3-", "Np5+", 0.0655380182], + ["Np5+", "Tc3-", 0.0655380182], + ["Tc3-", "Pu7+", -0.2259650792], + ["Pu7+", "Tc3-", -0.2259650792], + ["Tc3-", "Pu6+", 0.0039332007], + ["Pu6+", "Tc3-", 0.0039332007], + ["Tc3-", "Pu3+", 0.2711332476], + ["Pu3+", "Tc3-", 0.2711332476], + ["Tc3-", "Pu4+", -0.0036523094], + ["Pu4+", "Tc3-", -0.0036523094], + ["Tc3-", "Pu5+", -0.1544150801], + ["Pu5+", "Tc3-", -0.1544150801], + ["Tc3-", "H1+", -0.110321071], + ["H1+", "Tc3-", -0.110321071], + ["Tc3-", "H1-", 0.3155180971], + ["H1-", "Tc3-", 0.3155180971], + ["Tc3-", "Li1+", -0.2227070434], + ["Li1+", "Tc3-", -0.2227070434], + ["Tc3-", "B1+", -0.078469883], + ["B1+", "Tc3-", -0.078469883], + ["Tc3-", "B1-", 0.0074836578], + ["B1-", "Tc3-", 0.0074836578], + ["Tc3-", "C1-", 0.0113875153], + ["C1-", "Tc3-", 0.0113875153], + ["Tc3-", "C1+", 0.0039286591], + ["C1+", "Tc3-", 0.0039286591], + ["Tc3-", "N1-", -0.0323481728], + ["N1-", "Tc3-", -0.0323481728], + ["Tc3-", "N1+", -0.1684447178], + ["N1+", "Tc3-", -0.1684447178], + ["Tc3-", "O1-", -0.2516706987], + ["O1-", "Tc3-", -0.2516706987], + ["Tc3-", "F1-", 0.1364988089], + ["F1-", "Tc3-", 0.1364988089], + ["Tc3-", "Na1+", -0.1194547815], + ["Na1+", "Tc3-", -0.1194547815], + ["Tc3-", "Si1-", -0.0789256883], + ["Si1-", "Tc3-", -0.0789256883], + ["Tc3-", "P1+", -0.0342642538], + ["P1+", "Tc3-", -0.0342642538], + ["Tc3-", "P1-", 0.0552539205], + ["P1-", "Tc3-", 0.0552539205], + ["Tc3-", "S1-", 0.0234221384], + ["S1-", "Tc3-", 0.0234221384], + ["Tc3-", "S1+", -0.0448737988], + ["S1+", "Tc3-", -0.0448737988], + ["Tc3-", "Cl1-", 0.2480300144], + ["Cl1-", "Tc3-", 0.2480300144], + ["Tc3-", "K1+", -0.1194829468], + ["K1+", "Tc3-", -0.1194829468], + ["Tc3-", "Sc1+", -0.0186954669], + ["Sc1+", "Tc3-", -0.0186954669], + ["Tc3-", "Mn1+", -0.2042205153], + ["Mn1+", "Tc3-", -0.2042205153], + ["Tc3-", "Fe1+", 0.0938659608], + ["Fe1+", "Tc3-", 0.0938659608], + ["Tc3-", "Co1+", 0.097401395], + ["Co1+", "Tc3-", 0.097401395], + ["Tc3-", "Ni1+", 0.1294865081], + ["Ni1+", "Tc3-", 0.1294865081], + ["Tc3-", "Cu1+", 0.0510908629], + ["Cu1+", "Tc3-", 0.0510908629], + ["Tc3-", "Ga1+", -0.0410761927], + ["Ga1+", "Tc3-", -0.0410761927], + ["Tc3-", "As1-", 0.0967882544], + ["As1-", "Tc3-", 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0.0252829761], + ["Tc6+", "Ac3+", -0.1185737737], + ["Ac3+", "Tc6+", -0.1185737737], + ["Tc6+", "Th4+", 0.1796383033], + ["Th4+", "Tc6+", 0.1796383033], + ["Tc6+", "Th3+", 0.0540194767], + ["Th3+", "Tc6+", 0.0540194767], + ["Tc6+", "Pa4+", -0.1018477458], + ["Pa4+", "Tc6+", -0.1018477458], + ["Tc6+", "Pa5+", 0.0806137939], + ["Pa5+", "Tc6+", 0.0806137939], + ["Tc6+", "Pa3+", -0.11589421], + ["Pa3+", "Tc6+", -0.11589421], + ["Tc6+", "U6+", -0.0297585654], + ["U6+", "Tc6+", -0.0297585654], + ["Tc6+", "U4+", 0.1723694904], + ["U4+", "Tc6+", 0.1723694904], + ["Tc6+", "U3+", 0.0903483105], + ["U3+", "Tc6+", 0.0903483105], + ["Tc6+", "U2+", 0.1168066994], + ["U2+", "Tc6+", 0.1168066994], + ["Tc6+", "U5+", 0.0894248345], + ["U5+", "Tc6+", 0.0894248345], + ["Tc6+", "Np6+", 0.136120184], + ["Np6+", "Tc6+", 0.136120184], + ["Tc6+", "Np4+", 0.2148668438], + ["Np4+", "Tc6+", 0.2148668438], + ["Tc6+", "Np3+", -0.1574688064], + ["Np3+", "Tc6+", -0.1574688064], + ["Tc6+", "Np7+", -0.1402264714], + ["Np7+", "Tc6+", -0.1402264714], + ["Tc6+", "Np5+", 0.0133628997], + ["Np5+", "Tc6+", 0.0133628997], + ["Tc6+", "Pu7+", -0.1179615409], + ["Pu7+", "Tc6+", -0.1179615409], + ["Tc6+", "Pu6+", -0.0714816753], + ["Pu6+", "Tc6+", -0.0714816753], + ["Tc6+", "Pu3+", -0.038123905], + ["Pu3+", "Tc6+", -0.038123905], + ["Tc6+", "Pu4+", 0.0904012399], + ["Pu4+", "Tc6+", 0.0904012399], + ["Tc6+", "Pu5+", -0.009438986], + ["Pu5+", "Tc6+", -0.009438986], + ["Tc6+", "H1+", 0.1567771553], + ["H1+", "Tc6+", 0.1567771553], + ["Tc6+", "H1-", -0.0885900925], + ["H1-", "Tc6+", -0.0885900925], + ["Tc6+", "Li1+", 0.0784954541], + ["Li1+", "Tc6+", 0.0784954541], + ["Tc6+", "B1+", -0.0434954309], + ["B1+", "Tc6+", -0.0434954309], + ["Tc6+", "B1-", -0.1673310823], + ["B1-", "Tc6+", -0.1673310823], + ["Tc6+", "C1-", 0.0761499295], + ["C1-", "Tc6+", 0.0761499295], + ["Tc6+", "C1+", 0.2605552721], + ["C1+", "Tc6+", 0.2605552721], + ["Tc6+", "N1-", 0.0151353035], + ["N1-", "Tc6+", 0.0151353035], + ["Tc6+", "N1+", 0.0039654607], + ["N1+", "Tc6+", 0.0039654607], + ["Tc6+", "O1-", -0.0649378856], + ["O1-", "Tc6+", -0.0649378856], + ["Tc6+", "F1-", -0.1743302453], + ["F1-", "Tc6+", -0.1743302453], + ["Tc6+", "Na1+", -0.0968257935], + ["Na1+", "Tc6+", -0.0968257935], + ["Tc6+", "Si1-", -0.1670799482], + ["Si1-", "Tc6+", -0.1670799482], + ["Tc6+", "P1+", 0.0291347872], + ["P1+", "Tc6+", 0.0291347872], + ["Tc6+", "P1-", -0.1450155434], + ["P1-", "Tc6+", -0.1450155434], + ["Tc6+", "S1-", 0.0736146713], + ["S1-", "Tc6+", 0.0736146713], + ["Tc6+", "S1+", 0.18707707], + ["S1+", "Tc6+", 0.18707707], + ["Tc6+", "Cl1-", -0.0254064191], + ["Cl1-", "Tc6+", -0.0254064191], + ["Tc6+", "K1+", 0.1057414818], + ["K1+", "Tc6+", 0.1057414818], + ["Tc6+", "Sc1+", 0.0030667752], + ["Sc1+", "Tc6+", 0.0030667752], + ["Tc6+", "Mn1+", -0.1781340316], + ["Mn1+", "Tc6+", -0.1781340316], + ["Tc6+", "Fe1+", -0.1502379112], + ["Fe1+", "Tc6+", -0.1502379112], + ["Tc6+", "Co1+", -0.1270188306], + ["Co1+", "Tc6+", -0.1270188306], + ["Tc6+", "Ni1+", -0.1136019953], + ["Ni1+", "Tc6+", -0.1136019953], + ["Tc6+", "Cu1+", -0.1642479338], + ["Cu1+", "Tc6+", -0.1642479338], + ["Tc6+", "Ga1+", 0.0413178059], + ["Ga1+", "Tc6+", 0.0413178059], + ["Tc6+", "As1-", -0.2502165813], + ["As1-", "Tc6+", -0.2502165813], + ["Tc6+", "As1+", -0.1591265496], + ["As1+", "Tc6+", -0.1591265496], + ["Tc6+", "Se1-", 0.091896015], + ["Se1-", "Tc6+", 0.091896015], + ["Tc6+", "Se1+", -0.0285618017], + ["Se1+", "Tc6+", -0.0285618017], + ["Tc6+", "Br1-", -0.0352502144], + ["Br1-", "Tc6+", -0.0352502144], + ["Tc6+", "Br1+", 0.2792511], + ["Br1+", "Tc6+", 0.2792511], + ["Tc6+", "Rb1+", -0.0028210408], + ["Rb1+", "Tc6+", -0.0028210408], + ["Tc6+", "Y1+", 0.07550531], + ["Y1+", "Tc6+", 0.07550531], + ["Tc6+", "Zr1+", -0.049289741], + ["Zr1+", "Tc6+", -0.049289741], + ["Tc6+", "Nb1+", -0.0016796728], + ["Nb1+", "Tc6+", -0.0016796728], + ["Tc6+", "Tc1-", -0.0761302259], + ["Tc1-", "Tc6+", -0.0761302259], + ["Tc6+", "Tc1+", -0.0912478426], + ["Tc1+", "Tc6+", -0.0912478426], + ["Tc6+", "Rh1+", -0.1929300703], + ["Rh1+", "Tc6+", -0.1929300703], + ["Tc6+", "Ag1+", -0.0517550279], + ["Ag1+", "Tc6+", -0.0517550279], + ["Tc6+", "In1+", 0.0534234857], + ["In1+", "Tc6+", 0.0534234857], + ["Tc6+", "Sb1-", -0.0903031351], + ["Sb1-", "Tc6+", -0.0903031351], + ["Tc6+", "Sb1+", 0.3463497685], + ["Sb1+", "Tc6+", 0.3463497685], + ["Tc6+", "Te1-", 0.0501838008], + ["Te1-", "Tc6+", 0.0501838008], + ["Tc6+", "Te1+", 0.1434923395], + ["Te1+", "Tc6+", 0.1434923395], + ["Tc6+", "I1-", -0.1204009805], + ["I1-", "Tc6+", -0.1204009805], + ["Tc6+", "I1+", 0.2339438696], + ["I1+", "Tc6+", 0.2339438696], + ["Tc6+", "Cs1+", 0.0368716338], + ["Cs1+", "Tc6+", 0.0368716338], + ["Tc6+", "La1+", -0.2344930013], + ["La1+", "Tc6+", -0.2344930013], + ["Tc6+", "Tb1+", 0.0622562603], + ["Tb1+", "Tc6+", 0.0622562603], + ["Tc6+", "Ta1+", -0.0680194984], + ["Ta1+", "Tc6+", -0.0680194984], + ["Tc6+", "Os1-", -0.0538179463], + ["Os1-", "Tc6+", -0.0538179463], + ["Tc6+", "Os1+", 0.3682422226], + ["Os1+", "Tc6+", 0.3682422226], + ["Tc6+", "Pt1-", -0.0046602228], + ["Pt1-", "Tc6+", -0.0046602228], + ["Tc6+", "Pt1+", -0.0592410122], + ["Pt1+", "Tc6+", -0.0592410122], + ["Tc6+", "Au1-", 0.0992508723], + ["Au1-", "Tc6+", 0.0992508723], + ["Tc6+", "Au1+", 0.0514908182], + ["Au1+", "Tc6+", 0.0514908182], + ["Tc6+", "Hg1+", 0.0950351557], + ["Hg1+", "Tc6+", 0.0950351557], + ["Tc6+", "Tl1+", 0.1456820588], + ["Tl1+", "Tc6+", 0.1456820588], + ["Tc6+", "Bi1+", -0.1404108226], + ["Bi1+", "Tc6+", -0.1404108226], + ["Tc2-", "Tc2-", 1.0], + ["Tc2-", "Tc2+", 0.0273904413], + ["Tc2+", "Tc2-", 0.0273904413], + ["Tc2-", "Ru2+", 0.1501353153], + ["Ru2+", "Tc2-", 0.1501353153], + ["Tc2-", "Ru6+", -0.1497576357], + ["Ru6+", "Tc2-", -0.1497576357], + ["Tc2-", "Ru4+", -0.2190017889], + ["Ru4+", "Tc2-", -0.2190017889], + ["Tc2-", "Ru5+", -0.0156503362], + ["Ru5+", "Tc2-", -0.0156503362], + ["Tc2-", "Ru3+", 0.1130702302], + ["Ru3+", "Tc2-", 0.1130702302], + ["Tc2-", "Rh4+", 0.1056073635], + ["Rh4+", "Tc2-", 0.1056073635], + ["Tc2-", "Rh3+", 0.0867754848], + ["Rh3+", "Tc2-", 0.0867754848], + ["Tc2-", "Pd2+", 0.2024471726], + ["Pd2+", "Tc2-", 0.2024471726], + ["Tc2-", "Pd4+", -0.0165802132], + ["Pd4+", "Tc2-", -0.0165802132], + ["Tc2-", "Pd3+", 0.2460055782], + ["Pd3+", "Tc2-", 0.2460055782], + ["Tc2-", "Ag3+", -0.0173383982], + ["Ag3+", "Tc2-", -0.0173383982], + ["Tc2-", "Ag2+", -0.04037767], + ["Ag2+", "Tc2-", -0.04037767], + ["Tc2-", "Cd2+", -0.0031848058], + ["Cd2+", "Tc2-", -0.0031848058], + ["Tc2-", "In3+", 0.1714747126], + ["In3+", "Tc2-", 0.1714747126], + ["Tc2-", "In2+", 0.1540019545], + ["In2+", "Tc2-", 0.1540019545], + ["Tc2-", "Sn4+", -0.0348065348], + ["Sn4+", "Tc2-", -0.0348065348], + ["Tc2-", "Sn3+", -0.0198293145], + ["Sn3+", "Tc2-", -0.0198293145], + ["Tc2-", "Sn2+", 0.1362333253], + ["Sn2+", "Tc2-", 0.1362333253], + ["Tc2-", "Sb5+", -0.19743732], + ["Sb5+", "Tc2-", -0.19743732], + ["Tc2-", "Sb2-", 0.1825484322], + ["Sb2-", "Tc2-", 0.1825484322], + ["Tc2-", "Sb3-", 0.1893487257], + ["Sb3-", "Tc2-", 0.1893487257], + ["Tc2-", "Sb3+", 0.0654114081], + ["Sb3+", "Tc2-", 0.0654114081], + ["Tc2-", "Sb4+", 0.012339568], + ["Sb4+", "Tc2-", 0.012339568], + ["Tc2-", "Te2-", 0.2423925143], + ["Te2-", "Tc2-", 0.2423925143], + ["Tc2-", "Te4+", -0.1552447777], + ["Te4+", "Tc2-", -0.1552447777], + ["Tc2-", "Te6+", -0.1284328868], + ["Te6+", "Tc2-", -0.1284328868], + ["Tc2-", "Te2+", 0.1161079093], + ["Te2+", "Tc2-", 0.1161079093], + ["Tc2-", "Te5+", 0.0572184045], + ["Te5+", "Tc2-", 0.0572184045], + ["Tc2-", "I3+", -0.2116944963], + ["I3+", "Tc2-", -0.2116944963], + ["Tc2-", "I7+", -0.0836656589], + ["I7+", "Tc2-", -0.0836656589], + ["Tc2-", "I5+", -0.3065695139], + ["I5+", "Tc2-", -0.3065695139], + ["Tc2-", "I2+", -0.0316923305], + ["I2+", "Tc2-", -0.0316923305], + ["Tc2-", "Ba2+", -0.007644962], + ["Ba2+", "Tc2-", -0.007644962], + ["Tc2-", "La3+", 0.0883870335], + ["La3+", "Tc2-", 0.0883870335], + ["Tc2-", "La2+", 0.1897585622], + ["La2+", "Tc2-", 0.1897585622], + ["Tc2-", "Ce3+", 0.2253571576], + ["Ce3+", "Tc2-", 0.2253571576], + ["Tc2-", "Ce2+", 0.2787165604], + ["Ce2+", "Tc2-", 0.2787165604], + ["Tc2-", "Ce4+", 0.2652232125], + ["Ce4+", "Tc2-", 0.2652232125], + ["Tc2-", "Pr3+", 0.3130318716], + ["Pr3+", "Tc2-", 0.3130318716], + ["Tc2-", "Pr4+", 0.0130827254], + ["Pr4+", "Tc2-", 0.0130827254], + ["Tc2-", "Pr2+", 0.115187452], + ["Pr2+", "Tc2-", 0.115187452], + ["Tc2-", "Nd3+", 0.1010194515], + ["Nd3+", "Tc2-", 0.1010194515], + ["Tc2-", "Nd2+", 0.1667789368], + ["Nd2+", "Tc2-", 0.1667789368], + ["Tc2-", "Pm3+", 0.1597355432], + ["Pm3+", "Tc2-", 0.1597355432], + ["Tc2-", "Sm3+", 0.1218404802], + ["Sm3+", "Tc2-", 0.1218404802], + ["Tc2-", "Sm2+", 0.11927587], + ["Sm2+", "Tc2-", 0.11927587], + ["Tc2-", "Eu2+", -0.0155489506], + ["Eu2+", "Tc2-", -0.0155489506], + ["Tc2-", "Eu3+", 0.0846148607], + ["Eu3+", "Tc2-", 0.0846148607], + ["Tc2-", "Gd2+", 0.074078012], + ["Gd2+", "Tc2-", 0.074078012], + ["Tc2-", "Gd3+", 0.0602238096], + ["Gd3+", "Tc2-", 0.0602238096], + ["Tc2-", "Tb3+", 0.2558201467], + ["Tb3+", "Tc2-", 0.2558201467], + ["Tc2-", "Tb2+", 0.3343434315], + ["Tb2+", "Tc2-", 0.3343434315], + ["Tc2-", "Tb4+", 0.3359326025], + ["Tb4+", "Tc2-", 0.3359326025], + ["Tc2-", "Dy3+", 0.1110153331], + ["Dy3+", "Tc2-", 0.1110153331], + ["Tc2-", "Dy2+", 0.1716885542], + ["Dy2+", "Tc2-", 0.1716885542], + ["Tc2-", "Ho3+", 0.0960937478], + ["Ho3+", "Tc2-", 0.0960937478], + ["Tc2-", "Ho2+", 0.1298218424], + ["Ho2+", "Tc2-", 0.1298218424], + ["Tc2-", "Er3+", 0.2273012052], + ["Er3+", "Tc2-", 0.2273012052], + ["Tc2-", "Tm3+", 0.056694054], + ["Tm3+", "Tc2-", 0.056694054], + ["Tc2-", "Tm2+", 0.2593451442], + ["Tm2+", "Tc2-", 0.2593451442], + ["Tc2-", "Yb3+", 0.1293765625], + ["Yb3+", "Tc2-", 0.1293765625], + ["Tc2-", "Yb2+", 0.2147870887], + ["Yb2+", "Tc2-", 0.2147870887], + ["Tc2-", "Lu3+", 0.0604861406], + ["Lu3+", "Tc2-", 0.0604861406], + ["Tc2-", "Hf3+", 0.024402432], + ["Hf3+", "Tc2-", 0.024402432], + ["Tc2-", "Hf2+", -0.288760622], + ["Hf2+", "Tc2-", -0.288760622], + ["Tc2-", "Hf4+", 0.2690151504], + ["Hf4+", "Tc2-", 0.2690151504], + ["Tc2-", "Ta5+", 0.1791215527], + ["Ta5+", "Tc2-", 0.1791215527], + ["Tc2-", "Ta3+", 0.1514563991], + ["Ta3+", "Tc2-", 0.1514563991], + ["Tc2-", "Ta4+", 0.1967302723], + ["Ta4+", "Tc2-", 0.1967302723], + ["Tc2-", "Ta2+", 0.2159381068], + ["Ta2+", "Tc2-", 0.2159381068], + ["Tc2-", "W6+", -0.1857197885], + ["W6+", "Tc2-", -0.1857197885], + ["Tc2-", "W4+", 0.0546229302], + ["W4+", "Tc2-", 0.0546229302], + ["Tc2-", "W2+", 0.0450670557], + ["W2+", "Tc2-", 0.0450670557], + ["Tc2-", "W3+", -0.2845579127], + ["W3+", "Tc2-", -0.2845579127], + ["Tc2-", "W5+", 0.0026786739], + ["W5+", "Tc2-", 0.0026786739], + ["Tc2-", "Re5+", 0.2263125252], + ["Re5+", "Tc2-", 0.2263125252], + ["Tc2-", "Re3+", 0.2045099476], + ["Re3+", "Tc2-", 0.2045099476], + ["Tc2-", "Re6+", 0.0831757497], + ["Re6+", "Tc2-", 0.0831757497], + ["Tc2-", "Re2+", 0.0525921058], + ["Re2+", "Tc2-", 0.0525921058], + ["Tc2-", "Re4+", 0.0948773746], + ["Re4+", "Tc2-", 0.0948773746], + ["Tc2-", "Re7+", -0.0981295608], + ["Re7+", "Tc2-", -0.0981295608], + ["Tc2-", "Os7+", -0.2471024978], + ["Os7+", "Tc2-", -0.2471024978], + ["Tc2-", "Os6+", 0.0540607759], + ["Os6+", "Tc2-", 0.0540607759], + ["Tc2-", "Os5+", 0.0799140592], + ["Os5+", "Tc2-", 0.0799140592], + ["Tc2-", "Os2-", 0.3101045634], + ["Os2-", "Tc2-", 0.3101045634], + ["Tc2-", "Os3+", 0.1904826179], + ["Os3+", "Tc2-", 0.1904826179], + ["Tc2-", "Os4+", 0.1360801489], + ["Os4+", "Tc2-", 0.1360801489], + ["Tc2-", "Os8+", -0.0650089757], + ["Os8+", "Tc2-", -0.0650089757], + ["Tc2-", "Os2+", -0.0508732702], + ["Os2+", "Tc2-", -0.0508732702], + ["Tc2-", "Ir3+", -0.0710823142], + ["Ir3+", "Tc2-", -0.0710823142], + ["Tc2-", "Ir4+", -0.046088224], + ["Ir4+", "Tc2-", -0.046088224], + ["Tc2-", "Ir5+", 0.0092678619], + ["Ir5+", "Tc2-", 0.0092678619], + ["Tc2-", "Ir6+", 0.0113030053], + ["Ir6+", "Tc2-", 0.0113030053], + ["Tc2-", "Pt2+", -0.0727683226], + ["Pt2+", "Tc2-", -0.0727683226], + ["Tc2-", "Pt2-", 0.1404669772], + ["Pt2-", "Tc2-", 0.1404669772], + ["Tc2-", "Pt4+", -0.1300048703], + ["Pt4+", "Tc2-", -0.1300048703], + ["Tc2-", "Pt3+", -0.0071865348], + ["Pt3+", "Tc2-", -0.0071865348], + ["Tc2-", "Pt5+", -0.0774740563], + ["Pt5+", "Tc2-", -0.0774740563], + ["Tc2-", "Pt6+", -0.2800457878], + ["Pt6+", "Tc2-", -0.2800457878], + ["Tc2-", "Au2+", 0.0263137778], + ["Au2+", "Tc2-", 0.0263137778], + ["Tc2-", "Au3+", -0.0220899942], + ["Au3+", "Tc2-", -0.0220899942], + ["Tc2-", "Au5+", -0.16935532], + ["Au5+", "Tc2-", -0.16935532], + ["Tc2-", "Au4+", 0.023681051], + ["Au4+", "Tc2-", 0.023681051], + ["Tc2-", "Hg2+", -0.0029138212], + ["Hg2+", "Tc2-", -0.0029138212], + ["Tc2-", "Tl3+", 0.0286053435], + ["Tl3+", "Tc2-", 0.0286053435], + ["Tc2-", "Tl2+", -0.0714685156], + ["Tl2+", "Tc2-", -0.0714685156], + ["Tc2-", "Pb2+", -0.0138151874], + ["Pb2+", "Tc2-", -0.0138151874], + ["Tc2-", "Pb3+", -0.1486747925], + ["Pb3+", "Tc2-", -0.1486747925], + ["Tc2-", "Pb4+", -0.2037788828], + ["Pb4+", "Tc2-", -0.2037788828], + ["Tc2-", "Bi3+", 0.0419342978], + ["Bi3+", "Tc2-", 0.0419342978], + ["Tc2-", "Bi5+", -0.1675642329], + ["Bi5+", "Tc2-", -0.1675642329], + ["Tc2-", "Bi2+", 0.0675706469], + ["Bi2+", "Tc2-", 0.0675706469], + ["Tc2-", "Bi3-", 0.2818071664], + ["Bi3-", "Tc2-", 0.2818071664], + ["Tc2-", "Bi4+", -0.1270015318], + ["Bi4+", "Tc2-", -0.1270015318], + ["Tc2-", "Ac3+", 0.0170661384], + ["Ac3+", "Tc2-", 0.0170661384], + ["Tc2-", "Th4+", 0.4262358933], + ["Th4+", "Tc2-", 0.4262358933], + ["Tc2-", "Th3+", 0.0864784269], + ["Th3+", "Tc2-", 0.0864784269], + ["Tc2-", "Pa4+", -0.0769183509], + ["Pa4+", "Tc2-", -0.0769183509], + ["Tc2-", "Pa5+", -0.1185621469], + ["Pa5+", "Tc2-", -0.1185621469], + ["Tc2-", "Pa3+", -0.0175805289], + ["Pa3+", "Tc2-", -0.0175805289], + ["Tc2-", "U6+", -0.0261794594], + ["U6+", "Tc2-", -0.0261794594], + ["Tc2-", "U4+", 0.243254096], + ["U4+", "Tc2-", 0.243254096], + ["Tc2-", "U3+", 0.1158052987], + ["U3+", "Tc2-", 0.1158052987], + ["Tc2-", "U2+", 0.1726955858], + ["U2+", "Tc2-", 0.1726955858], + ["Tc2-", "U5+", 0.1609117725], + ["U5+", "Tc2-", 0.1609117725], + ["Tc2-", "Np6+", 0.0205288182], + ["Np6+", "Tc2-", 0.0205288182], + ["Tc2-", "Np4+", 0.0188095343], + ["Np4+", "Tc2-", 0.0188095343], + ["Tc2-", "Np3+", -0.0198062044], + ["Np3+", "Tc2-", -0.0198062044], + ["Tc2-", "Np7+", -0.2485967262], + ["Np7+", "Tc2-", -0.2485967262], + ["Tc2-", "Np5+", 0.0608051463], + ["Np5+", "Tc2-", 0.0608051463], + ["Tc2-", "Pu7+", -0.2450648737], + ["Pu7+", "Tc2-", -0.2450648737], + ["Tc2-", "Pu6+", 0.0100964335], + ["Pu6+", "Tc2-", 0.0100964335], + ["Tc2-", "Pu3+", 0.0083953132], + ["Pu3+", "Tc2-", 0.0083953132], + ["Tc2-", "Pu4+", -0.023628108], + ["Pu4+", "Tc2-", -0.023628108], + ["Tc2-", "Pu5+", 0.0262153403], + ["Pu5+", "Tc2-", 0.0262153403], + ["Tc2-", "H1+", -0.3099040883], + ["H1+", "Tc2-", -0.3099040883], + ["Tc2-", "H1-", -0.2616799156], + ["H1-", "Tc2-", -0.2616799156], + ["Tc2-", "Li1+", -0.1488789805], + ["Li1+", "Tc2-", -0.1488789805], + ["Tc2-", "B1+", -0.2297788093], + ["B1+", "Tc2-", -0.2297788093], + ["Tc2-", "B1-", 0.2437581509], + ["B1-", "Tc2-", 0.2437581509], + ["Tc2-", "C1-", -0.0780801002], + ["C1-", "Tc2-", -0.0780801002], + ["Tc2-", "C1+", -0.1232178284], + ["C1+", "Tc2-", -0.1232178284], + ["Tc2-", "N1-", -0.3095850314], + ["N1-", "Tc2-", -0.3095850314], + ["Tc2-", "N1+", -0.3080797799], + ["N1+", "Tc2-", -0.3080797799], + ["Tc2-", "O1-", 0.076871688], + ["O1-", "Tc2-", 0.076871688], + ["Tc2-", "F1-", 0.2981689594], + ["F1-", "Tc2-", 0.2981689594], + ["Tc2-", "Na1+", -0.1012453162], + ["Na1+", "Tc2-", -0.1012453162], + ["Tc2-", "Si1-", 0.1278605479], + ["Si1-", "Tc2-", 0.1278605479], + ["Tc2-", "P1+", 0.1219095224], + ["P1+", "Tc2-", 0.1219095224], + ["Tc2-", "P1-", 0.0833403915], + ["P1-", "Tc2-", 0.0833403915], + ["Tc2-", "S1-", 0.1154051052], + ["S1-", "Tc2-", 0.1154051052], + ["Tc2-", "S1+", -0.2542559667], + ["S1+", "Tc2-", -0.2542559667], + ["Tc2-", "Cl1-", 0.1345042135], + ["Cl1-", "Tc2-", 0.1345042135], + ["Tc2-", "K1+", 0.0018405863], + ["K1+", "Tc2-", 0.0018405863], + ["Tc2-", "Sc1+", 0.2225340207], + ["Sc1+", "Tc2-", 0.2225340207], + ["Tc2-", "Mn1+", 0.1531490434], + ["Mn1+", "Tc2-", 0.1531490434], + ["Tc2-", "Fe1+", 0.0899728772], + ["Fe1+", "Tc2-", 0.0899728772], + ["Tc2-", "Co1+", 0.0809137985], + ["Co1+", "Tc2-", 0.0809137985], + ["Tc2-", "Ni1+", 0.0518048229], + ["Ni1+", "Tc2-", 0.0518048229], + ["Tc2-", "Cu1+", 0.2291166272], + ["Cu1+", "Tc2-", 0.2291166272], + ["Tc2-", "Ga1+", 0.1722804102], + ["Ga1+", "Tc2-", 0.1722804102], + ["Tc2-", "As1-", 0.0349406047], + ["As1-", "Tc2-", 0.0349406047], + ["Tc2-", "As1+", 0.0736103886], + ["As1+", "Tc2-", 0.0736103886], + ["Tc2-", "Se1-", 0.269933403], + ["Se1-", "Tc2-", 0.269933403], + ["Tc2-", "Se1+", -0.1313053316], + ["Se1+", "Tc2-", -0.1313053316], + ["Tc2-", "Br1-", 0.1895190041], + ["Br1-", "Tc2-", 0.1895190041], + ["Tc2-", "Br1+", -0.1847467783], + ["Br1+", "Tc2-", -0.1847467783], + ["Tc2-", "Rb1+", -0.1165512831], + ["Rb1+", "Tc2-", -0.1165512831], + ["Tc2-", "Y1+", 0.1404173449], + ["Y1+", "Tc2-", 0.1404173449], + ["Tc2-", "Zr1+", 0.1280415702], + ["Zr1+", "Tc2-", 0.1280415702], + ["Tc2-", "Nb1+", 0.2368954966], + ["Nb1+", "Tc2-", 0.2368954966], + ["Tc2-", "Tc1-", 0.0421578837], + ["Tc1-", "Tc2-", 0.0421578837], + ["Tc2-", "Tc1+", -0.1253226575], + ["Tc1+", "Tc2-", -0.1253226575], + ["Tc2-", "Rh1+", 0.31729088], + ["Rh1+", "Tc2-", 0.31729088], + ["Tc2-", "Ag1+", 0.119182053], + ["Ag1+", "Tc2-", 0.119182053], + ["Tc2-", "In1+", 0.3421859765], + ["In1+", "Tc2-", 0.3421859765], + ["Tc2-", "Sb1-", 0.0616793746], + ["Sb1-", "Tc2-", 0.0616793746], + ["Tc2-", "Sb1+", 0.1501004384], + ["Sb1+", "Tc2-", 0.1501004384], + ["Tc2-", "Te1-", 0.2355876916], + ["Te1-", "Tc2-", 0.2355876916], + ["Tc2-", "Te1+", -0.0087486163], + ["Te1+", "Tc2-", -0.0087486163], + ["Tc2-", "I1-", 0.1396335378], + ["I1-", "Tc2-", 0.1396335378], + ["Tc2-", "I1+", -0.1666555689], + ["I1+", "Tc2-", -0.1666555689], + ["Tc2-", "Cs1+", -0.0167755215], + ["Cs1+", "Tc2-", -0.0167755215], + ["Tc2-", "La1+", 0.1137795587], + ["La1+", "Tc2-", 0.1137795587], + ["Tc2-", "Tb1+", 0.1655108072], + ["Tb1+", "Tc2-", 0.1655108072], + ["Tc2-", "Ta1+", 0.3391412992], + ["Ta1+", "Tc2-", 0.3391412992], + ["Tc2-", "Os1-", 0.357421154], + ["Os1-", "Tc2-", 0.357421154], + ["Tc2-", "Os1+", -0.0336435826], + ["Os1+", "Tc2-", -0.0336435826], + ["Tc2-", "Pt1-", 0.5284752986], + ["Pt1-", "Tc2-", 0.5284752986], + ["Tc2-", "Pt1+", -0.0584751139], + ["Pt1+", "Tc2-", -0.0584751139], + ["Tc2-", "Au1-", 0.0246521788], + ["Au1-", "Tc2-", 0.0246521788], + ["Tc2-", "Au1+", -0.1909336926], + ["Au1+", "Tc2-", -0.1909336926], + ["Tc2-", "Hg1+", -0.0299922694], + ["Hg1+", "Tc2-", -0.0299922694], + ["Tc2-", "Tl1+", 0.1407261264], + ["Tl1+", "Tc2-", 0.1407261264], + ["Tc2-", "Bi1+", 0.0913167265], + ["Bi1+", "Tc2-", 0.0913167265], + ["Tc2+", "Tc2+", 1.0], + ["Tc2+", "Ru2+", 0.0061764055], + ["Ru2+", "Tc2+", 0.0061764055], + ["Tc2+", "Ru6+", 0.2974826904], + ["Ru6+", "Tc2+", 0.2974826904], + ["Tc2+", "Ru4+", 0.2748059938], + ["Ru4+", "Tc2+", 0.2748059938], + ["Tc2+", "Ru5+", 0.0636355482], + ["Ru5+", "Tc2+", 0.0636355482], + ["Tc2+", "Ru3+", 0.2160757135], + ["Ru3+", "Tc2+", 0.2160757135], + ["Tc2+", "Rh4+", 0.1673390728], + ["Rh4+", "Tc2+", 0.1673390728], + ["Tc2+", "Rh3+", 0.1565147867], + ["Rh3+", "Tc2+", 0.1565147867], + ["Tc2+", "Pd2+", 0.124390682], + ["Pd2+", "Tc2+", 0.124390682], + ["Tc2+", "Pd4+", 0.2440474589], + ["Pd4+", "Tc2+", 0.2440474589], + ["Tc2+", "Pd3+", 0.1880486801], + ["Pd3+", "Tc2+", 0.1880486801], + ["Tc2+", "Ag3+", -0.061089996], + ["Ag3+", "Tc2+", -0.061089996], + ["Tc2+", "Ag2+", 0.023976845], + ["Ag2+", "Tc2+", 0.023976845], + ["Tc2+", "Cd2+", 0.169634673], + ["Cd2+", "Tc2+", 0.169634673], + ["Tc2+", "In3+", 0.2503230169], + ["In3+", "Tc2+", 0.2503230169], + ["Tc2+", "In2+", 0.296975131], + ["In2+", "Tc2+", 0.296975131], + ["Tc2+", "Sn4+", 0.1803131291], + ["Sn4+", "Tc2+", 0.1803131291], + ["Tc2+", "Sn3+", -0.0390578649], + ["Sn3+", "Tc2+", -0.0390578649], + ["Tc2+", "Sn2+", 0.2043395517], + ["Sn2+", "Tc2+", 0.2043395517], + ["Tc2+", "Sb5+", 0.2191891256], + ["Sb5+", "Tc2+", 0.2191891256], + ["Tc2+", "Sb2-", 0.0771676824], + ["Sb2-", "Tc2+", 0.0771676824], + ["Tc2+", "Sb3-", -0.0160714701], + ["Sb3-", "Tc2+", -0.0160714701], + ["Tc2+", "Sb3+", 0.1965394535], + ["Sb3+", "Tc2+", 0.1965394535], + ["Tc2+", "Sb4+", 0.2483125714], + ["Sb4+", "Tc2+", 0.2483125714], + ["Tc2+", "Te2-", 0.1925952532], + ["Te2-", "Tc2+", 0.1925952532], + ["Tc2+", "Te4+", 0.4151125653], + ["Te4+", "Tc2+", 0.4151125653], + ["Tc2+", "Te6+", 0.2318904367], + ["Te6+", "Tc2+", 0.2318904367], + ["Tc2+", "Te2+", 0.2459098122], + ["Te2+", "Tc2+", 0.2459098122], + ["Tc2+", "Te5+", 0.290771183], + ["Te5+", "Tc2+", 0.290771183], + ["Tc2+", "I3+", 0.3460241237], + ["I3+", "Tc2+", 0.3460241237], + ["Tc2+", "I7+", -0.0149298748], + ["I7+", "Tc2+", -0.0149298748], + ["Tc2+", "I5+", 0.1844676337], + ["I5+", "Tc2+", 0.1844676337], + ["Tc2+", "I2+", 0.1075913324], + ["I2+", "Tc2+", 0.1075913324], + ["Tc2+", "Ba2+", 0.2271316115], + ["Ba2+", "Tc2+", 0.2271316115], + ["Tc2+", "La3+", 0.306507335], + ["La3+", "Tc2+", 0.306507335], + ["Tc2+", "La2+", 0.2889028673], + ["La2+", "Tc2+", 0.2889028673], + ["Tc2+", "Ce3+", 0.290860062], + ["Ce3+", "Tc2+", 0.290860062], + ["Tc2+", "Ce2+", 0.1648314022], + ["Ce2+", "Tc2+", 0.1648314022], + ["Tc2+", "Ce4+", 0.1328239356], + ["Ce4+", "Tc2+", 0.1328239356], + ["Tc2+", "Pr3+", 0.246386403], + ["Pr3+", "Tc2+", 0.246386403], + ["Tc2+", "Pr4+", 0.0470813185], + ["Pr4+", "Tc2+", 0.0470813185], + ["Tc2+", "Pr2+", 0.423956523], + ["Pr2+", "Tc2+", 0.423956523], + ["Tc2+", "Nd3+", 0.2706477024], + ["Nd3+", "Tc2+", 0.2706477024], + ["Tc2+", "Nd2+", 0.4226883984], + ["Nd2+", "Tc2+", 0.4226883984], + ["Tc2+", "Pm3+", 0.1028867061], + ["Pm3+", "Tc2+", 0.1028867061], + ["Tc2+", "Sm3+", 0.1725840632], + ["Sm3+", "Tc2+", 0.1725840632], + ["Tc2+", "Sm2+", 0.4275460272], + ["Sm2+", "Tc2+", 0.4275460272], + ["Tc2+", "Eu2+", 0.1986504732], + ["Eu2+", "Tc2+", 0.1986504732], + ["Tc2+", "Eu3+", 0.271232165], + ["Eu3+", "Tc2+", 0.271232165], + ["Tc2+", "Gd2+", 0.3854291068], + ["Gd2+", "Tc2+", 0.3854291068], + ["Tc2+", "Gd3+", 0.1889179337], + ["Gd3+", "Tc2+", 0.1889179337], + ["Tc2+", "Tb3+", 0.2011460426], + ["Tb3+", "Tc2+", 0.2011460426], + ["Tc2+", "Tb2+", 0.3927832775], + ["Tb2+", "Tc2+", 0.3927832775], + ["Tc2+", "Tb4+", 0.0688959608], + ["Tb4+", "Tc2+", 0.0688959608], + ["Tc2+", "Dy3+", 0.1157992247], + ["Dy3+", "Tc2+", 0.1157992247], + ["Tc2+", "Dy2+", 0.3601062937], + ["Dy2+", "Tc2+", 0.3601062937], + ["Tc2+", "Ho3+", 0.1058150029], + ["Ho3+", "Tc2+", 0.1058150029], + ["Tc2+", "Ho2+", 0.1900914541], + ["Ho2+", "Tc2+", 0.1900914541], + ["Tc2+", "Er3+", 0.1400518735], + ["Er3+", "Tc2+", 0.1400518735], + ["Tc2+", "Tm3+", 0.1735305068], + ["Tm3+", "Tc2+", 0.1735305068], + ["Tc2+", "Tm2+", 0.3666048065], + ["Tm2+", "Tc2+", 0.3666048065], + ["Tc2+", "Yb3+", 0.1725946526], + ["Yb3+", "Tc2+", 0.1725946526], + ["Tc2+", "Yb2+", 0.2328526802], + ["Yb2+", "Tc2+", 0.2328526802], + ["Tc2+", "Lu3+", 0.1184178822], + ["Lu3+", "Tc2+", 0.1184178822], + ["Tc2+", "Hf3+", -0.0047285177], + ["Hf3+", "Tc2+", -0.0047285177], + ["Tc2+", "Hf2+", 0.1057278628], + ["Hf2+", "Tc2+", 0.1057278628], + ["Tc2+", "Hf4+", 0.0559374999], + ["Hf4+", "Tc2+", 0.0559374999], + ["Tc2+", "Ta5+", 0.195879241], + ["Ta5+", "Tc2+", 0.195879241], + ["Tc2+", "Ta3+", 0.2582312775], + ["Ta3+", "Tc2+", 0.2582312775], + ["Tc2+", "Ta4+", 0.2279853066], + ["Ta4+", "Tc2+", 0.2279853066], + ["Tc2+", "Ta2+", 0.2631939134], + ["Ta2+", "Tc2+", 0.2631939134], + ["Tc2+", "W6+", 0.2657710679], + ["W6+", "Tc2+", 0.2657710679], + ["Tc2+", "W4+", 0.1812333729], + ["W4+", "Tc2+", 0.1812333729], + ["Tc2+", "W2+", 0.5339969016], + ["W2+", "Tc2+", 0.5339969016], + ["Tc2+", "W3+", 0.1865570945], + ["W3+", "Tc2+", 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["Sm3+", "Rh3+", 0.3058451729], + ["Rh3+", "Sm2+", 0.1720635655], + ["Sm2+", "Rh3+", 0.1720635655], + ["Rh3+", "Eu2+", 0.2374270453], + ["Eu2+", "Rh3+", 0.2374270453], + ["Rh3+", "Eu3+", 0.4574997157], + ["Eu3+", "Rh3+", 0.4574997157], + ["Rh3+", "Gd2+", 0.0739549714], + ["Gd2+", "Rh3+", 0.0739549714], + ["Rh3+", "Gd3+", 0.41901774], + ["Gd3+", "Rh3+", 0.41901774], + ["Rh3+", "Tb3+", 0.3701776458], + ["Tb3+", "Rh3+", 0.3701776458], + ["Rh3+", "Tb2+", 0.2276475558], + ["Tb2+", "Rh3+", 0.2276475558], + ["Rh3+", "Tb4+", 0.314372585], + ["Tb4+", "Rh3+", 0.314372585], + ["Rh3+", "Dy3+", 0.3645920701], + ["Dy3+", "Rh3+", 0.3645920701], + ["Rh3+", "Dy2+", 0.1912921401], + ["Dy2+", "Rh3+", 0.1912921401], + ["Rh3+", "Ho3+", 0.3658073003], + ["Ho3+", "Rh3+", 0.3658073003], + ["Rh3+", "Ho2+", 0.4626833105], + ["Ho2+", "Rh3+", 0.4626833105], + ["Rh3+", "Er3+", 0.5088304318], + ["Er3+", "Rh3+", 0.5088304318], + ["Rh3+", "Tm3+", 0.3291151901], + ["Tm3+", "Rh3+", 0.3291151901], + ["Rh3+", "Tm2+", 0.3627263996], + ["Tm2+", "Rh3+", 0.3627263996], + ["Rh3+", "Yb3+", 0.3948294226], + ["Yb3+", "Rh3+", 0.3948294226], + ["Rh3+", "Yb2+", 0.3169320929], + ["Yb2+", "Rh3+", 0.3169320929], + ["Rh3+", "Lu3+", 0.4113786936], + ["Lu3+", "Rh3+", 0.4113786936], + ["Rh3+", "Hf3+", 0.3224426196], + ["Hf3+", "Rh3+", 0.3224426196], + ["Rh3+", "Hf2+", 0.271212849], + ["Hf2+", "Rh3+", 0.271212849], + ["Rh3+", "Hf4+", 0.3189876771], + ["Hf4+", "Rh3+", 0.3189876771], + ["Rh3+", "Ta5+", 0.2991425594], + ["Ta5+", "Rh3+", 0.2991425594], + ["Rh3+", "Ta3+", 0.1975721612], + ["Ta3+", "Rh3+", 0.1975721612], + ["Rh3+", "Ta4+", 0.2022455944], + ["Ta4+", "Rh3+", 0.2022455944], + ["Rh3+", "Ta2+", 0.3380154731], + ["Ta2+", "Rh3+", 0.3380154731], + ["Rh3+", "W6+", 0.2368942931], + ["W6+", "Rh3+", 0.2368942931], + ["Rh3+", "W4+", 0.2516395212], + ["W4+", "Rh3+", 0.2516395212], + ["Rh3+", "W2+", 0.3018431781], + ["W2+", "Rh3+", 0.3018431781], + ["Rh3+", "W3+", 0.2845575979], + ["W3+", "Rh3+", 0.2845575979], + ["Rh3+", "W5+", 0.2507654416], + ["W5+", "Rh3+", 0.2507654416], + ["Rh3+", "Re5+", 0.3855603902], + ["Re5+", "Rh3+", 0.3855603902], + ["Rh3+", "Re3+", 0.2004272316], + ["Re3+", "Rh3+", 0.2004272316], + ["Rh3+", "Re6+", 0.1768040144], + ["Re6+", "Rh3+", 0.1768040144], + ["Rh3+", "Re2+", 0.0447756434], + ["Re2+", "Rh3+", 0.0447756434], + ["Rh3+", "Re4+", 0.3419600756], + ["Re4+", "Rh3+", 0.3419600756], + ["Rh3+", "Re7+", 0.3594053775], + ["Re7+", "Rh3+", 0.3594053775], + ["Rh3+", "Os7+", 0.0541058704], + ["Os7+", "Rh3+", 0.0541058704], + ["Rh3+", "Os6+", 0.1635670018], + ["Os6+", "Rh3+", 0.1635670018], + ["Rh3+", "Os5+", 0.2745869191], + ["Os5+", "Rh3+", 0.2745869191], + ["Rh3+", "Os2-", 0.089520747], + ["Os2-", "Rh3+", 0.089520747], + ["Rh3+", "Os3+", 0.1426154997], + ["Os3+", "Rh3+", 0.1426154997], + ["Rh3+", "Os4+", 0.3719259914], + ["Os4+", "Rh3+", 0.3719259914], + ["Rh3+", "Os8+", 0.2948408554], + ["Os8+", "Rh3+", 0.2948408554], + ["Rh3+", "Os2+", 0.1993249551], + ["Os2+", "Rh3+", 0.1993249551], + ["Rh3+", "Ir3+", 0.5677490509], + ["Ir3+", "Rh3+", 0.5677490509], + ["Rh3+", "Ir4+", 0.1674091008], + ["Ir4+", "Rh3+", 0.1674091008], + ["Rh3+", "Ir5+", 0.363761346], + ["Ir5+", "Rh3+", 0.363761346], + ["Rh3+", "Ir6+", 0.1231618481], + ["Ir6+", "Rh3+", 0.1231618481], + ["Rh3+", "Pt2+", 0.3527450908], + ["Pt2+", "Rh3+", 0.3527450908], + ["Rh3+", "Pt2-", 0.1576445029], + ["Pt2-", "Rh3+", 0.1576445029], + ["Rh3+", "Pt4+", 0.3571445377], + ["Pt4+", "Rh3+", 0.3571445377], + ["Rh3+", "Pt3+", 0.2150556094], + ["Pt3+", "Rh3+", 0.2150556094], + ["Rh3+", "Pt5+", 0.2572112418], + ["Pt5+", "Rh3+", 0.2572112418], + ["Rh3+", "Pt6+", 0.2995751663], + ["Pt6+", "Rh3+", 0.2995751663], + ["Rh3+", "Au2+", 0.2013287051], + ["Au2+", "Rh3+", 0.2013287051], + ["Rh3+", "Au3+", 0.2803755917], + ["Au3+", "Rh3+", 0.2803755917], + ["Rh3+", "Au5+", 0.2342683624], + ["Au5+", "Rh3+", 0.2342683624], + ["Rh3+", "Au4+", -0.0284147656], + ["Au4+", "Rh3+", -0.0284147656], + ["Rh3+", "Hg2+", 0.2804599189], + ["Hg2+", "Rh3+", 0.2804599189], + ["Rh3+", "Tl3+", 0.2797067299], + ["Tl3+", "Rh3+", 0.2797067299], + ["Rh3+", "Tl2+", 0.1432962083], + ["Tl2+", "Rh3+", 0.1432962083], + ["Rh3+", "Pb2+", 0.2832707002], + ["Pb2+", "Rh3+", 0.2832707002], + ["Rh3+", "Pb3+", 0.0385112304], + ["Pb3+", "Rh3+", 0.0385112304], + ["Rh3+", "Pb4+", -0.0635154892], + ["Pb4+", "Rh3+", -0.0635154892], + ["Rh3+", "Bi3+", 0.3464936429], + ["Bi3+", "Rh3+", 0.3464936429], + ["Rh3+", "Bi5+", 0.1150082375], + ["Bi5+", "Rh3+", 0.1150082375], + ["Rh3+", "Bi2+", 0.0907866588], + ["Bi2+", "Rh3+", 0.0907866588], + ["Rh3+", "Bi3-", 0.1664811821], + ["Bi3-", "Rh3+", 0.1664811821], + ["Rh3+", "Bi4+", 0.2082173663], + ["Bi4+", "Rh3+", 0.2082173663], + ["Rh3+", "Ac3+", 0.129399449], + ["Ac3+", "Rh3+", 0.129399449], + ["Rh3+", "Th4+", 0.1724616165], + ["Th4+", "Rh3+", 0.1724616165], + ["Rh3+", "Th3+", 0.1844338435], + ["Th3+", "Rh3+", 0.1844338435], + ["Rh3+", "Pa4+", 0.0798045958], + ["Pa4+", "Rh3+", 0.0798045958], + ["Rh3+", "Pa5+", 0.0370631562], + ["Pa5+", "Rh3+", 0.0370631562], + ["Rh3+", "Pa3+", 0.3214447906], + ["Pa3+", "Rh3+", 0.3214447906], + ["Rh3+", "U6+", 0.067473623], + ["U6+", "Rh3+", 0.067473623], + ["Rh3+", "U4+", 0.0899955866], + ["U4+", "Rh3+", 0.0899955866], + ["Rh3+", "U3+", 0.3339314349], + ["U3+", "Rh3+", 0.3339314349], + ["Rh3+", "U2+", 0.1993154405], + ["U2+", "Rh3+", 0.1993154405], + ["Rh3+", "U5+", 0.1502995641], + ["U5+", "Rh3+", 0.1502995641], + ["Rh3+", "Np6+", 0.0716393618], + ["Np6+", "Rh3+", 0.0716393618], + ["Rh3+", "Np4+", 0.2122895074], + ["Np4+", "Rh3+", 0.2122895074], + ["Rh3+", "Np3+", 0.3952901819], + ["Np3+", "Rh3+", 0.3952901819], + ["Rh3+", "Np7+", 0.145074773], + ["Np7+", "Rh3+", 0.145074773], + ["Rh3+", "Np5+", 0.3541033462], + ["Np5+", "Rh3+", 0.3541033462], + ["Rh3+", "Pu7+", 0.1155205864], + ["Pu7+", "Rh3+", 0.1155205864], + ["Rh3+", "Pu6+", 0.2297961996], + ["Pu6+", "Rh3+", 0.2297961996], + ["Rh3+", "Pu3+", 0.4032600858], + ["Pu3+", "Rh3+", 0.4032600858], + ["Rh3+", "Pu4+", 0.3570854411], + ["Pu4+", "Rh3+", 0.3570854411], + ["Rh3+", "Pu5+", 0.2122014471], + ["Pu5+", "Rh3+", 0.2122014471], + ["Rh3+", "H1+", 0.2139301936], + ["H1+", "Rh3+", 0.2139301936], + ["Rh3+", "H1-", 0.2725317872], + ["H1-", "Rh3+", 0.2725317872], + ["Rh3+", "Li1+", 0.3011370293], + ["Li1+", "Rh3+", 0.3011370293], + ["Rh3+", "B1+", 0.2068523229], + ["B1+", "Rh3+", 0.2068523229], + ["Rh3+", "B1-", 0.0299146431], + ["B1-", "Rh3+", 0.0299146431], + ["Rh3+", "C1-", 0.0642780627], + ["C1-", "Rh3+", 0.0642780627], + ["Rh3+", "C1+", 0.3628084006], + ["C1+", "Rh3+", 0.3628084006], + ["Rh3+", "N1-", 0.1380481931], + ["N1-", "Rh3+", 0.1380481931], + ["Rh3+", "N1+", 0.0496376455], + ["N1+", "Rh3+", 0.0496376455], + ["Rh3+", "O1-", -0.0931451584], + ["O1-", "Rh3+", -0.0931451584], + ["Rh3+", "F1-", 0.1528752161], + ["F1-", "Rh3+", 0.1528752161], + ["Rh3+", "Na1+", 0.2940454885], + ["Na1+", "Rh3+", 0.2940454885], + ["Rh3+", "Si1-", 0.0147238657], + ["Si1-", "Rh3+", 0.0147238657], + ["Rh3+", "P1+", -0.0237344154], + ["P1+", "Rh3+", -0.0237344154], + ["Rh3+", "P1-", -0.0431559799], + ["P1-", "Rh3+", -0.0431559799], + ["Rh3+", "S1-", 0.0278702958], + ["S1-", "Rh3+", 0.0278702958], + ["Rh3+", "S1+", 0.1157884012], + ["S1+", "Rh3+", 0.1157884012], + ["Rh3+", "Cl1-", 0.2363702557], + ["Cl1-", "Rh3+", 0.2363702557], + ["Rh3+", "K1+", 0.3001406895], + ["K1+", "Rh3+", 0.3001406895], + ["Rh3+", "Sc1+", 0.2482682455], + ["Sc1+", "Rh3+", 0.2482682455], + ["Rh3+", "Mn1+", 0.4006555567], + ["Mn1+", "Rh3+", 0.4006555567], + ["Rh3+", "Fe1+", 0.1924469173], + ["Fe1+", "Rh3+", 0.1924469173], + ["Rh3+", "Co1+", 0.3061594883], + ["Co1+", "Rh3+", 0.3061594883], + ["Rh3+", "Ni1+", 0.3194833736], + ["Ni1+", "Rh3+", 0.3194833736], + ["Rh3+", "Cu1+", 0.2814926014], + ["Cu1+", "Rh3+", 0.2814926014], + ["Rh3+", "Ga1+", 0.2876930012], + ["Ga1+", "Rh3+", 0.2876930012], + ["Rh3+", "As1-", 0.0991214066], + ["As1-", "Rh3+", 0.0991214066], + ["Rh3+", "As1+", 0.2052468761], + ["As1+", "Rh3+", 0.2052468761], + ["Rh3+", "Se1-", 0.0279578978], + ["Se1-", "Rh3+", 0.0279578978], + ["Rh3+", "Se1+", 0.1673258239], + ["Se1+", "Rh3+", 0.1673258239], + ["Rh3+", "Br1-", 0.2003706804], + ["Br1-", "Rh3+", 0.2003706804], + ["Rh3+", "Br1+", 0.1537277854], + ["Br1+", "Rh3+", 0.1537277854], + ["Rh3+", "Rb1+", 0.2408672776], + ["Rb1+", "Rh3+", 0.2408672776], + ["Rh3+", "Y1+", 0.255964209], + ["Y1+", "Rh3+", 0.255964209], + ["Rh3+", "Zr1+", 0.2676987947], + ["Zr1+", "Rh3+", 0.2676987947], + ["Rh3+", "Nb1+", 0.3980740087], + ["Nb1+", "Rh3+", 0.3980740087], + ["Rh3+", "Tc1-", 0.2811884097], + ["Tc1-", "Rh3+", 0.2811884097], + ["Rh3+", "Tc1+", 0.3028127564], + ["Tc1+", "Rh3+", 0.3028127564], + ["Rh3+", "Rh1+", 0.3991563965], + ["Rh1+", "Rh3+", 0.3991563965], + ["Rh3+", "Ag1+", 0.3099184654], + ["Ag1+", "Rh3+", 0.3099184654], + ["Rh3+", "In1+", 0.3235337715], + ["In1+", "Rh3+", 0.3235337715], + ["Rh3+", "Sb1-", 0.0563338087], + ["Sb1-", "Rh3+", 0.0563338087], + ["Rh3+", "Sb1+", 0.0980783161], + ["Sb1+", "Rh3+", 0.0980783161], + ["Rh3+", "Te1-", -0.0033541213], + ["Te1-", "Rh3+", -0.0033541213], + ["Rh3+", "Te1+", 0.100040399], + ["Te1+", "Rh3+", 0.100040399], + ["Rh3+", "I1-", 0.153922506], + ["I1-", "Rh3+", 0.153922506], + ["Rh3+", "I1+", 0.0265386803], + ["I1+", "Rh3+", 0.0265386803], + ["Rh3+", "Cs1+", 0.2630146362], + ["Cs1+", "Rh3+", 0.2630146362], + ["Rh3+", "La1+", 0.2324788642], + ["La1+", "Rh3+", 0.2324788642], + ["Rh3+", "Tb1+", 0.088292792], + ["Tb1+", "Rh3+", 0.088292792], + ["Rh3+", "Ta1+", 0.3343347377], + ["Ta1+", "Rh3+", 0.3343347377], + ["Rh3+", "Os1-", 0.1408231163], + ["Os1-", "Rh3+", 0.1408231163], + ["Rh3+", "Os1+", 0.0892410869], + ["Os1+", "Rh3+", 0.0892410869], + ["Rh3+", "Pt1-", 0.1723676212], + ["Pt1-", "Rh3+", 0.1723676212], + ["Rh3+", "Pt1+", 0.1790298825], + ["Pt1+", "Rh3+", 0.1790298825], + ["Rh3+", "Au1-", -0.0957953816], + ["Au1-", "Rh3+", -0.0957953816], + ["Rh3+", "Au1+", 0.1955602181], + ["Au1+", "Rh3+", 0.1955602181], + ["Rh3+", "Hg1+", 0.2052197871], + ["Hg1+", "Rh3+", 0.2052197871], + ["Rh3+", "Tl1+", 0.2759086433], + ["Tl1+", "Rh3+", 0.2759086433], + ["Rh3+", "Bi1+", 0.0305590347], + ["Bi1+", "Rh3+", 0.0305590347], + ["Pd2+", "Pd2+", 1.0], + ["Pd2+", "Pd4+", 0.3350971202], + ["Pd4+", "Pd2+", 0.3350971202], + ["Pd2+", "Pd3+", 0.4282364312], + ["Pd3+", "Pd2+", 0.4282364312], + ["Pd2+", "Ag3+", 0.1520123659], + ["Ag3+", "Pd2+", 0.1520123659], + ["Pd2+", "Ag2+", 0.155069655], + ["Ag2+", "Pd2+", 0.155069655], + ["Pd2+", "Cd2+", 0.3887539588], + ["Cd2+", "Pd2+", 0.3887539588], + ["Pd2+", "In3+", 0.3091700855], + ["In3+", "Pd2+", 0.3091700855], + ["Pd2+", "In2+", 0.3975946068], + ["In2+", "Pd2+", 0.3975946068], + ["Pd2+", "Sn4+", 0.0913010825], + ["Sn4+", "Pd2+", 0.0913010825], + ["Pd2+", "Sn3+", 0.1806062922], + ["Sn3+", "Pd2+", 0.1806062922], + ["Pd2+", "Sn2+", 0.2810708794], + ["Sn2+", "Pd2+", 0.2810708794], + ["Pd2+", "Sb5+", 0.1926828193], + ["Sb5+", "Pd2+", 0.1926828193], + ["Pd2+", "Sb2-", -0.1002305837], + 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["Ag3+", "Ta1+", -0.2171676527], + ["Ta1+", "Ag3+", -0.2171676527], + ["Ag3+", "Os1-", -0.214836228], + ["Os1-", "Ag3+", -0.214836228], + ["Ag3+", "Os1+", 0.0527197541], + ["Os1+", "Ag3+", 0.0527197541], + ["Ag3+", "Pt1-", -0.0084172574], + ["Pt1-", "Ag3+", -0.0084172574], + ["Ag3+", "Pt1+", 0.0883118964], + ["Pt1+", "Ag3+", 0.0883118964], + ["Ag3+", "Au1-", -0.1325825647], + ["Au1-", "Ag3+", -0.1325825647], + ["Ag3+", "Au1+", -0.1187653325], + ["Au1+", "Ag3+", -0.1187653325], + ["Ag3+", "Hg1+", 0.2956573704], + ["Hg1+", "Ag3+", 0.2956573704], + ["Ag3+", "Tl1+", 0.2341433486], + ["Tl1+", "Ag3+", 0.2341433486], + ["Ag3+", "Bi1+", -0.1937481691], + ["Bi1+", "Ag3+", -0.1937481691], + ["Ag2+", "Ag2+", 1.0], + ["Ag2+", "Cd2+", 0.3710682999], + ["Cd2+", "Ag2+", 0.3710682999], + ["Ag2+", "In3+", 0.2257845728], + ["In3+", "Ag2+", 0.2257845728], + ["Ag2+", "In2+", 0.0896540058], + ["In2+", "Ag2+", 0.0896540058], + ["Ag2+", "Sn4+", 0.0820262463], + ["Sn4+", "Ag2+", 0.0820262463], + ["Ag2+", "Sn3+", 0.2381916045], + ["Sn3+", "Ag2+", 0.2381916045], + ["Ag2+", "Sn2+", 0.4316516248], + ["Sn2+", "Ag2+", 0.4316516248], + ["Ag2+", "Sb5+", 0.3226722532], + ["Sb5+", "Ag2+", 0.3226722532], + ["Ag2+", "Sb2-", -0.0167077968], + ["Sb2-", "Ag2+", -0.0167077968], + ["Ag2+", "Sb3-", -0.2172792578], + ["Sb3-", "Ag2+", -0.2172792578], + ["Ag2+", "Sb3+", 0.4137437407], + ["Sb3+", "Ag2+", 0.4137437407], + ["Ag2+", "Sb4+", 0.3234531907], + ["Sb4+", "Ag2+", 0.3234531907], + ["Ag2+", "Te2-", 0.0705080939], + ["Te2-", "Ag2+", 0.0705080939], + ["Ag2+", "Te4+", 0.2765771012], + ["Te4+", "Ag2+", 0.2765771012], + ["Ag2+", "Te6+", 0.4210442981], + ["Te6+", "Ag2+", 0.4210442981], + ["Ag2+", "Te2+", 0.061894717], + ["Te2+", "Ag2+", 0.061894717], + ["Ag2+", "Te5+", 0.1724892645], + ["Te5+", "Ag2+", 0.1724892645], + ["Ag2+", "I3+", 0.1840917692], + ["I3+", "Ag2+", 0.1840917692], + ["Ag2+", "I7+", 0.4030049229], + ["I7+", "Ag2+", 0.4030049229], + ["Ag2+", "I5+", 0.3362767232], + ["I5+", "Ag2+", 0.3362767232], + ["Ag2+", "I2+", 0.2809909816], + ["I2+", "Ag2+", 0.2809909816], + ["Ag2+", "Ba2+", 0.4427003214], + ["Ba2+", "Ag2+", 0.4427003214], + ["Ag2+", "La3+", 0.1830019977], + ["La3+", "Ag2+", 0.1830019977], + ["Ag2+", "La2+", 0.0589002091], + ["La2+", "Ag2+", 0.0589002091], + ["Ag2+", "Ce3+", 0.1163424923], + ["Ce3+", "Ag2+", 0.1163424923], + ["Ag2+", "Ce2+", -0.0666272175], + ["Ce2+", "Ag2+", -0.0666272175], + ["Ag2+", "Ce4+", 0.0679369606], + ["Ce4+", "Ag2+", 0.0679369606], + ["Ag2+", "Pr3+", 0.1647611855], + ["Pr3+", "Ag2+", 0.1647611855], + ["Ag2+", "Pr4+", 0.046611561], + ["Pr4+", "Ag2+", 0.046611561], + ["Ag2+", "Pr2+", 0.0743211859], + ["Pr2+", "Ag2+", 0.0743211859], + ["Ag2+", "Nd3+", 0.2697358326], + ["Nd3+", "Ag2+", 0.2697358326], + ["Ag2+", "Nd2+", -0.0819253869], + ["Nd2+", "Ag2+", -0.0819253869], + ["Ag2+", "Pm3+", 0.1508806945], + ["Pm3+", "Ag2+", 0.1508806945], + ["Ag2+", "Sm3+", 0.2009855064], + ["Sm3+", "Ag2+", 0.2009855064], + ["Ag2+", "Sm2+", -0.0311072976], + ["Sm2+", "Ag2+", -0.0311072976], + ["Ag2+", "Eu2+", 0.2602284878], + ["Eu2+", "Ag2+", 0.2602284878], + ["Ag2+", "Eu3+", 0.2154244368], + ["Eu3+", "Ag2+", 0.2154244368], + ["Ag2+", "Gd2+", 0.0291104744], + ["Gd2+", "Ag2+", 0.0291104744], + ["Ag2+", "Gd3+", 0.3212799404], + ["Gd3+", "Ag2+", 0.3212799404], + ["Ag2+", "Tb3+", 0.2514155983], + ["Tb3+", "Ag2+", 0.2514155983], + ["Ag2+", "Tb2+", -0.0310825946], + ["Tb2+", "Ag2+", -0.0310825946], + ["Ag2+", "Tb4+", 0.3445430572], + ["Tb4+", "Ag2+", 0.3445430572], + ["Ag2+", "Dy3+", 0.2098500746], + ["Dy3+", "Ag2+", 0.2098500746], + ["Ag2+", "Dy2+", 0.0241963404], + ["Dy2+", "Ag2+", 0.0241963404], + ["Ag2+", "Ho3+", 0.2271035678], + ["Ho3+", "Ag2+", 0.2271035678], + ["Ag2+", "Ho2+", -0.0184419586], + ["Ho2+", "Ag2+", -0.0184419586], + ["Ag2+", "Er3+", 0.3300599456], + ["Er3+", "Ag2+", 0.3300599456], + ["Ag2+", "Tm3+", 0.2809254503], + ["Tm3+", "Ag2+", 0.2809254503], + ["Ag2+", "Tm2+", 0.0056243377], + ["Tm2+", "Ag2+", 0.0056243377], + ["Ag2+", "Yb3+", 0.2303906982], + ["Yb3+", "Ag2+", 0.2303906982], + ["Ag2+", "Yb2+", 0.0127876179], + ["Yb2+", "Ag2+", 0.0127876179], + ["Ag2+", "Lu3+", 0.2678873269], + ["Lu3+", "Ag2+", 0.2678873269], + ["Ag2+", "Hf3+", 0.01994561], + ["Hf3+", "Ag2+", 0.01994561], + ["Ag2+", "Hf2+", 0.012958948], + ["Hf2+", "Ag2+", 0.012958948], + ["Ag2+", "Hf4+", 0.2142958691], + ["Hf4+", "Ag2+", 0.2142958691], + ["Ag2+", "Ta5+", 0.2680485157], + ["Ta5+", "Ag2+", 0.2680485157], + ["Ag2+", "Ta3+", 0.2391458348], + ["Ta3+", "Ag2+", 0.2391458348], + ["Ag2+", "Ta4+", 0.0732357416], + ["Ta4+", "Ag2+", 0.0732357416], + ["Ag2+", "Ta2+", 0.0093160654], + ["Ta2+", "Ag2+", 0.0093160654], + ["Ag2+", "W6+", 0.2027754606], + ["W6+", "Ag2+", 0.2027754606], + ["Ag2+", "W4+", 0.2235344817], + ["W4+", "Ag2+", 0.2235344817], + ["Ag2+", "W2+", 0.0757222943], + ["W2+", "Ag2+", 0.0757222943], + ["Ag2+", "W3+", 0.235402448], + ["W3+", "Ag2+", 0.235402448], + ["Ag2+", "W5+", 0.1494932703], + ["W5+", "Ag2+", 0.1494932703], + ["Ag2+", "Re5+", 0.0436639974], + ["Re5+", "Ag2+", 0.0436639974], + ["Ag2+", "Re3+", 0.0448173974], + ["Re3+", "Ag2+", 0.0448173974], + ["Ag2+", "Re6+", -0.0371003924], + ["Re6+", "Ag2+", -0.0371003924], + ["Ag2+", "Re2+", -0.139940125], + ["Re2+", "Ag2+", -0.139940125], + ["Ag2+", "Re4+", 0.1367295501], + ["Re4+", "Ag2+", 0.1367295501], + ["Ag2+", "Re7+", 0.1121350052], + ["Re7+", "Ag2+", 0.1121350052], + ["Ag2+", "Os7+", 0.1584787143], + ["Os7+", "Ag2+", 0.1584787143], + ["Ag2+", "Os6+", 0.2217207385], + ["Os6+", "Ag2+", 0.2217207385], + ["Ag2+", "Os5+", 0.1897822128], + ["Os5+", "Ag2+", 0.1897822128], + ["Ag2+", "Os2-", -0.2333429065], + ["Os2-", "Ag2+", -0.2333429065], + ["Ag2+", "Os3+", -0.0071517352], + ["Os3+", "Ag2+", -0.0071517352], + ["Ag2+", "Os4+", 0.1068002366], + ["Os4+", "Ag2+", 0.1068002366], + ["Ag2+", "Os8+", 0.1839445313], + ["Os8+", "Ag2+", 0.1839445313], + ["Ag2+", "Os2+", -0.0609252188], + ["Os2+", "Ag2+", -0.0609252188], + ["Ag2+", "Ir3+", 0.2354541533], + ["Ir3+", "Ag2+", 0.2354541533], + ["Ag2+", "Ir4+", 0.1318199339], + ["Ir4+", "Ag2+", 0.1318199339], + ["Ag2+", "Ir5+", -0.0875245038], + ["Ir5+", "Ag2+", -0.0875245038], + ["Ag2+", "Ir6+", 0.2628088628], + ["Ir6+", "Ag2+", 0.2628088628], + ["Ag2+", "Pt2+", 0.046072706], + ["Pt2+", "Ag2+", 0.046072706], + ["Ag2+", "Pt2-", -0.0936649611], + ["Pt2-", "Ag2+", -0.0936649611], + ["Ag2+", "Pt4+", 0.2891652995], + ["Pt4+", "Ag2+", 0.2891652995], + ["Ag2+", "Pt3+", 0.1252757581], + ["Pt3+", "Ag2+", 0.1252757581], + ["Ag2+", "Pt5+", 0.2488366715], + ["Pt5+", "Ag2+", 0.2488366715], + ["Ag2+", "Pt6+", 0.1777767411], + ["Pt6+", "Ag2+", 0.1777767411], + ["Ag2+", "Au2+", 0.2056981468], + ["Au2+", "Ag2+", 0.2056981468], + ["Ag2+", "Au3+", 0.2411589429], + ["Au3+", "Ag2+", 0.2411589429], + ["Ag2+", "Au5+", 0.3394308039], + ["Au5+", "Ag2+", 0.3394308039], + ["Ag2+", "Au4+", 0.2724320317], + ["Au4+", "Ag2+", 0.2724320317], + ["Ag2+", "Hg2+", 0.302373296], + ["Hg2+", "Ag2+", 0.302373296], + ["Ag2+", "Tl3+", 0.3197294859], + ["Tl3+", "Ag2+", 0.3197294859], + ["Ag2+", "Tl2+", 0.2909677094], + ["Tl2+", "Ag2+", 0.2909677094], + ["Ag2+", "Pb2+", 0.3175761244], + ["Pb2+", "Ag2+", 0.3175761244], + ["Ag2+", "Pb3+", 0.2317379894], + ["Pb3+", "Ag2+", 0.2317379894], + ["Ag2+", "Pb4+", 0.1776571024], + ["Pb4+", "Ag2+", 0.1776571024], + ["Ag2+", "Bi3+", 0.3923303454], + ["Bi3+", "Ag2+", 0.3923303454], + ["Ag2+", "Bi5+", 0.2382882209], + ["Bi5+", "Ag2+", 0.2382882209], + ["Ag2+", "Bi2+", 0.0808622206], + ["Bi2+", "Ag2+", 0.0808622206], + ["Ag2+", "Bi3-", -0.1313227177], + ["Bi3-", "Ag2+", -0.1313227177], + ["Ag2+", "Bi4+", 0.1761363507], + ["Bi4+", "Ag2+", 0.1761363507], + ["Ag2+", "Ac3+", 0.168607496], + ["Ac3+", "Ag2+", 0.168607496], + ["Ag2+", "Th4+", 0.3508755401], + ["Th4+", "Ag2+", 0.3508755401], + ["Ag2+", "Th3+", 0.1293066321], + ["Th3+", "Ag2+", 0.1293066321], + ["Ag2+", "Pa4+", 0.0120658058], + ["Pa4+", "Ag2+", 0.0120658058], + ["Ag2+", "Pa5+", 0.327577805], + ["Pa5+", "Ag2+", 0.327577805], + ["Ag2+", "Pa3+", 0.2122837959], + ["Pa3+", "Ag2+", 0.2122837959], + ["Ag2+", "U6+", 0.211665964], + ["U6+", "Ag2+", 0.211665964], + ["Ag2+", "U4+", 0.2843423138], + ["U4+", "Ag2+", 0.2843423138], + ["Ag2+", "U3+", 0.1027531502], + ["U3+", "Ag2+", 0.1027531502], + ["Ag2+", "U2+", 0.0809503975], + ["U2+", "Ag2+", 0.0809503975], + ["Ag2+", "U5+", 0.1422176604], + ["U5+", "Ag2+", 0.1422176604], + ["Ag2+", "Np6+", 0.2375102815], + ["Np6+", "Ag2+", 0.2375102815], + ["Ag2+", "Np4+", 0.2953508055], + ["Np4+", "Ag2+", 0.2953508055], + ["Ag2+", "Np3+", 0.2376651575], + ["Np3+", "Ag2+", 0.2376651575], + ["Ag2+", "Np7+", 0.1526475402], + ["Np7+", "Ag2+", 0.1526475402], + ["Ag2+", "Np5+", 0.2902451132], + ["Np5+", "Ag2+", 0.2902451132], + ["Ag2+", "Pu7+", 0.1133687478], + ["Pu7+", "Ag2+", 0.1133687478], + ["Ag2+", "Pu6+", -0.0220296321], + ["Pu6+", "Ag2+", -0.0220296321], + ["Ag2+", "Pu3+", 0.0372120742], + ["Pu3+", "Ag2+", 0.0372120742], + ["Ag2+", "Pu4+", 0.190556964], + ["Pu4+", "Ag2+", 0.190556964], + ["Ag2+", "Pu5+", 0.1183159643], + ["Pu5+", "Ag2+", 0.1183159643], + ["Ag2+", "H1+", -0.0658116558], + ["H1+", "Ag2+", -0.0658116558], + ["Ag2+", "H1-", -0.2057551102], + ["H1-", "Ag2+", -0.2057551102], + ["Ag2+", "Li1+", 0.3668859929], + ["Li1+", "Ag2+", 0.3668859929], + ["Ag2+", "B1+", 0.2030221693], + ["B1+", "Ag2+", 0.2030221693], + ["Ag2+", "B1-", -0.1133698429], + ["B1-", "Ag2+", -0.1133698429], + ["Ag2+", "C1-", 0.0152882802], + ["C1-", "Ag2+", 0.0152882802], + ["Ag2+", "C1+", 0.1884092272], + ["C1+", "Ag2+", 0.1884092272], + ["Ag2+", "N1-", 0.0475880951], + ["N1-", "Ag2+", 0.0475880951], + ["Ag2+", "N1+", 0.3667685941], + ["N1+", "Ag2+", 0.3667685941], + ["Ag2+", "O1-", 0.3389853042], + ["O1-", "Ag2+", 0.3389853042], + ["Ag2+", "F1-", 0.0837514012], + ["F1-", "Ag2+", 0.0837514012], + ["Ag2+", "Na1+", 0.2869456641], + ["Na1+", "Ag2+", 0.2869456641], + ["Ag2+", "Si1-", -0.0862607208], + ["Si1-", "Ag2+", -0.0862607208], + ["Ag2+", "P1+", 0.2274863786], + ["P1+", "Ag2+", 0.2274863786], + ["Ag2+", "P1-", 0.1610661632], + ["P1-", "Ag2+", 0.1610661632], + ["Ag2+", "S1-", 0.2264263166], + ["S1-", "Ag2+", 0.2264263166], + ["Ag2+", "S1+", 0.0971830402], + ["S1+", "Ag2+", 0.0971830402], + ["Ag2+", "Cl1-", 0.0734548891], + ["Cl1-", "Ag2+", 0.0734548891], + ["Ag2+", "K1+", 0.3954628983], + ["K1+", "Ag2+", 0.3954628983], + ["Ag2+", "Sc1+", 0.0502404687], + ["Sc1+", "Ag2+", 0.0502404687], + ["Ag2+", "Mn1+", 0.1711864789], + ["Mn1+", "Ag2+", 0.1711864789], + ["Ag2+", "Fe1+", -0.1019764303], + ["Fe1+", "Ag2+", -0.1019764303], + ["Ag2+", "Co1+", -0.1353526323], + ["Co1+", "Ag2+", -0.1353526323], + ["Ag2+", "Ni1+", -0.0820346946], + ["Ni1+", "Ag2+", -0.0820346946], + ["Ag2+", "Cu1+", 0.1561765748], + ["Cu1+", "Ag2+", 0.1561765748], + ["Ag2+", "Ga1+", 0.1456481965], + ["Ga1+", "Ag2+", 0.1456481965], + ["Ag2+", "As1-", 0.1189432033], + ["As1-", "Ag2+", 0.1189432033], + ["Ag2+", "As1+", 0.0922789544], + ["As1+", "Ag2+", 0.0922789544], + ["Ag2+", "Se1-", 0.0500958833], + ["Se1-", "Ag2+", 0.0500958833], + ["Ag2+", "Se1+", 0.1133880755], + ["Se1+", "Ag2+", 0.1133880755], + ["Ag2+", "Br1-", 0.0457983264], + ["Br1-", "Ag2+", 0.0457983264], + ["Ag2+", "Br1+", 0.0489950547], + ["Br1+", "Ag2+", 0.0489950547], + ["Ag2+", "Rb1+", 0.3596230409], + ["Rb1+", "Ag2+", 0.3596230409], + ["Ag2+", "Y1+", 0.1292784629], + ["Y1+", "Ag2+", 0.1292784629], + ["Ag2+", "Zr1+", 0.0957031972], + ["Zr1+", "Ag2+", 0.0957031972], + ["Ag2+", "Nb1+", 0.0405804851], + ["Nb1+", "Ag2+", 0.0405804851], + ["Ag2+", "Tc1-", -0.0175743285], + ["Tc1-", "Ag2+", -0.0175743285], + ["Ag2+", "Tc1+", 0.244339552], + ["Tc1+", "Ag2+", 0.244339552], + ["Ag2+", "Rh1+", -0.0167769662], + ["Rh1+", "Ag2+", -0.0167769662], + ["Ag2+", "Ag1+", 0.3686222473], + ["Ag1+", "Ag2+", 0.3686222473], + ["Ag2+", "In1+", 0.0946673056], + ["In1+", "Ag2+", 0.0946673056], + ["Ag2+", "Sb1-", 0.032774143], + ["Sb1-", "Ag2+", 0.032774143], + ["Ag2+", "Sb1+", 0.1460833944], + ["Sb1+", "Ag2+", 0.1460833944], + ["Ag2+", "Te1-", 0.1152727013], + ["Te1-", "Ag2+", 0.1152727013], + ["Ag2+", "Te1+", 0.2312041609], + ["Te1+", "Ag2+", 0.2312041609], + ["Ag2+", "I1-", 0.1618869962], + ["I1-", "Ag2+", 0.1618869962], + ["Ag2+", "I1+", 0.1931801255], + ["I1+", "Ag2+", 0.1931801255], + ["Ag2+", "Cs1+", 0.3093296521], + ["Cs1+", "Ag2+", 0.3093296521], + ["Ag2+", "La1+", -0.0713401575], + ["La1+", "Ag2+", -0.0713401575], + ["Ag2+", "Tb1+", 0.0392953526], + ["Tb1+", "Ag2+", 0.0392953526], + ["Ag2+", "Ta1+", -0.0346047255], + ["Ta1+", "Ag2+", -0.0346047255], + ["Ag2+", "Os1-", -0.0341791349], + ["Os1-", "Ag2+", -0.0341791349], + ["Ag2+", "Os1+", 0.1641145556], + ["Os1+", "Ag2+", 0.1641145556], + ["Ag2+", "Pt1-", -0.0359228439], + ["Pt1-", "Ag2+", -0.0359228439], + ["Ag2+", "Pt1+", 0.2585090578], + ["Pt1+", "Ag2+", 0.2585090578], + ["Ag2+", "Au1-", -0.0434503819], + ["Au1-", "Ag2+", -0.0434503819], + ["Ag2+", "Au1+", 0.1726185641], + ["Au1+", "Ag2+", 0.1726185641], + ["Ag2+", "Hg1+", 0.3939401961], + ["Hg1+", "Ag2+", 0.3939401961], + ["Ag2+", "Tl1+", 0.381095063], + ["Tl1+", "Ag2+", 0.381095063], + ["Ag2+", "Bi1+", -0.0939323053], + ["Bi1+", "Ag2+", -0.0939323053], + ["Cd2+", "Cd2+", 1.0], + ["Cd2+", "In3+", 0.6043817792], + ["In3+", "Cd2+", 0.6043817792], + ["Cd2+", "In2+", 0.4023794342], + ["In2+", "Cd2+", 0.4023794342], + ["Cd2+", "Sn4+", 0.3622186968], + ["Sn4+", "Cd2+", 0.3622186968], + ["Cd2+", "Sn3+", 0.3196778505], + ["Sn3+", "Cd2+", 0.3196778505], + ["Cd2+", "Sn2+", 0.4981222035], + ["Sn2+", "Cd2+", 0.4981222035], + ["Cd2+", "Sb5+", 0.1943683363], + ["Sb5+", "Cd2+", 0.1943683363], + ["Cd2+", "Sb2-", -0.1194763632], + ["Sb2-", "Cd2+", -0.1194763632], + ["Cd2+", "Sb3-", 0.0012015726], + ["Sb3-", "Cd2+", 0.0012015726], + ["Cd2+", "Sb3+", 0.4634409619], + ["Sb3+", "Cd2+", 0.4634409619], + ["Cd2+", "Sb4+", 0.149076157], + ["Sb4+", "Cd2+", 0.149076157], + ["Cd2+", "Te2-", 0.2080709532], + ["Te2-", "Cd2+", 0.2080709532], + ["Cd2+", "Te4+", 0.4470719648], + ["Te4+", "Cd2+", 0.4470719648], + ["Cd2+", "Te6+", 0.1168475179], + ["Te6+", "Cd2+", 0.1168475179], + ["Cd2+", "Te2+", 0.3488634849], + ["Te2+", "Cd2+", 0.3488634849], + ["Cd2+", "Te5+", 0.3230125212], + ["Te5+", "Cd2+", 0.3230125212], + ["Cd2+", "I3+", 0.1457361696], + ["I3+", "Cd2+", 0.1457361696], + ["Cd2+", "I7+", 0.1603422251], + ["I7+", "Cd2+", 0.1603422251], + ["Cd2+", "I5+", 0.1839781533], + ["I5+", "Cd2+", 0.1839781533], + ["Cd2+", "I2+", 0.1783178569], + ["I2+", "Cd2+", 0.1783178569], + ["Cd2+", "Ba2+", 0.6495430928], + ["Ba2+", "Cd2+", 0.6495430928], + ["Cd2+", "La3+", 0.542077069], + ["La3+", "Cd2+", 0.542077069], + ["Cd2+", "La2+", 0.3739593257], + ["La2+", "Cd2+", 0.3739593257], + ["Cd2+", "Ce3+", 0.4242189167], + ["Ce3+", "Cd2+", 0.4242189167], + ["Cd2+", "Ce2+", 0.390032331], + ["Ce2+", "Cd2+", 0.390032331], + ["Cd2+", "Ce4+", 0.2649017045], + ["Ce4+", "Cd2+", 0.2649017045], + ["Cd2+", "Pr3+", 0.4142522453], + ["Pr3+", "Cd2+", 0.4142522453], + ["Cd2+", "Pr4+", 0.1966948237], + ["Pr4+", "Cd2+", 0.1966948237], + ["Cd2+", "Pr2+", 0.269713045], + ["Pr2+", "Cd2+", 0.269713045], + ["Cd2+", "Nd3+", 0.4067562052], + ["Nd3+", "Cd2+", 0.4067562052], + ["Cd2+", "Nd2+", 0.1786105948], + ["Nd2+", "Cd2+", 0.1786105948], + ["Cd2+", "Pm3+", 0.3540420322], + ["Pm3+", "Cd2+", 0.3540420322], + ["Cd2+", "Sm3+", 0.3107109938], + ["Sm3+", "Cd2+", 0.3107109938], + ["Cd2+", "Sm2+", 0.1988765762], + ["Sm2+", "Cd2+", 0.1988765762], + ["Cd2+", "Eu2+", 0.5320299062], + ["Eu2+", "Cd2+", 0.5320299062], + ["Cd2+", "Eu3+", 0.3685390916], + ["Eu3+", "Cd2+", 0.3685390916], + ["Cd2+", "Gd2+", 0.1486968493], + ["Gd2+", "Cd2+", 0.1486968493], + ["Cd2+", "Gd3+", 0.3391089451], + ["Gd3+", "Cd2+", 0.3391089451], + ["Cd2+", "Tb3+", 0.2622606277], + ["Tb3+", "Cd2+", 0.2622606277], + ["Cd2+", "Tb2+", 0.1061068639], + ["Tb2+", "Cd2+", 0.1061068639], + ["Cd2+", "Tb4+", 0.1613131422], + ["Tb4+", "Cd2+", 0.1613131422], + ["Cd2+", "Dy3+", 0.2721264043], + ["Dy3+", "Cd2+", 0.2721264043], + ["Cd2+", "Dy2+", 0.1925532946], + ["Dy2+", "Cd2+", 0.1925532946], + ["Cd2+", "Ho3+", 0.2860999729], + ["Ho3+", "Cd2+", 0.2860999729], + ["Cd2+", "Ho2+", 0.2237494574], + ["Ho2+", "Cd2+", 0.2237494574], + ["Cd2+", "Er3+", 0.293395942], + ["Er3+", "Cd2+", 0.293395942], + ["Cd2+", "Tm3+", 0.2247994812], + ["Tm3+", "Cd2+", 0.2247994812], + ["Cd2+", "Tm2+", 0.2984560177], + ["Tm2+", "Cd2+", 0.2984560177], + ["Cd2+", "Yb3+", 0.2259313311], + ["Yb3+", "Cd2+", 0.2259313311], + ["Cd2+", "Yb2+", 0.217432816], + ["Yb2+", "Cd2+", 0.217432816], + ["Cd2+", "Lu3+", 0.1201102739], + ["Lu3+", "Cd2+", 0.1201102739], + ["Cd2+", "Hf3+", 0.3940161344], + ["Hf3+", "Cd2+", 0.3940161344], + ["Cd2+", "Hf2+", 0.2142362846], + ["Hf2+", "Cd2+", 0.2142362846], + ["Cd2+", "Hf4+", 0.2060467125], + ["Hf4+", "Cd2+", 0.2060467125], + ["Cd2+", "Ta5+", 0.3515713947], + ["Ta5+", "Cd2+", 0.3515713947], + ["Cd2+", "Ta3+", 0.2321700395], + ["Ta3+", "Cd2+", 0.2321700395], + ["Cd2+", "Ta4+", 0.2716219023], + ["Ta4+", "Cd2+", 0.2716219023], + ["Cd2+", "Ta2+", 0.3011656813], + ["Ta2+", "Cd2+", 0.3011656813], + ["Cd2+", "W6+", 0.2168879407], + ["W6+", "Cd2+", 0.2168879407], + ["Cd2+", "W4+", 0.3909111379], + ["W4+", "Cd2+", 0.3909111379], + ["Cd2+", "W2+", 0.3636238374], + ["W2+", "Cd2+", 0.3636238374], + ["Cd2+", "W3+", 0.3598015715], + ["W3+", "Cd2+", 0.3598015715], + ["Cd2+", "W5+", 0.3259575084], + ["W5+", "Cd2+", 0.3259575084], + ["Cd2+", "Re5+", 0.2428395597], + ["Re5+", "Cd2+", 0.2428395597], + ["Cd2+", "Re3+", 0.2609642035], + ["Re3+", "Cd2+", 0.2609642035], + ["Cd2+", "Re6+", 0.1412133764], + ["Re6+", "Cd2+", 0.1412133764], + ["Cd2+", "Re2+", 0.0334422622], + ["Re2+", "Cd2+", 0.0334422622], + ["Cd2+", "Re4+", 0.413944939], + ["Re4+", "Cd2+", 0.413944939], + ["Cd2+", "Re7+", 0.1014420258], + ["Re7+", "Cd2+", 0.1014420258], + ["Cd2+", "Os7+", 0.0485559293], + ["Os7+", "Cd2+", 0.0485559293], + ["Cd2+", "Os6+", -0.0293752329], + ["Os6+", "Cd2+", -0.0293752329], + ["Cd2+", "Os5+", 0.3667371507], + ["Os5+", "Cd2+", 0.3667371507], + ["Cd2+", "Os2-", 0.0261569077], + ["Os2-", "Cd2+", 0.0261569077], + ["Cd2+", "Os3+", 0.217672839], + ["Os3+", "Cd2+", 0.217672839], + ["Cd2+", "Os4+", 0.3014156274], + ["Os4+", "Cd2+", 0.3014156274], + ["Cd2+", "Os8+", 0.0891088203], + ["Os8+", "Cd2+", 0.0891088203], + ["Cd2+", "Os2+", 0.200234824], + ["Os2+", "Cd2+", 0.200234824], + ["Cd2+", "Ir3+", 0.2906240084], + ["Ir3+", "Cd2+", 0.2906240084], + ["Cd2+", "Ir4+", 0.3622666616], + ["Ir4+", "Cd2+", 0.3622666616], + ["Cd2+", "Ir5+", 0.3391396724], + ["Ir5+", "Cd2+", 0.3391396724], + ["Cd2+", "Ir6+", 0.1910788553], + ["Ir6+", "Cd2+", 0.1910788553], + ["Cd2+", "Pt2+", 0.365855343], + ["Pt2+", "Cd2+", 0.365855343], + ["Cd2+", "Pt2-", 0.1666995208], + ["Pt2-", "Cd2+", 0.1666995208], + ["Cd2+", "Pt4+", 0.4468844805], + ["Pt4+", "Cd2+", 0.4468844805], + ["Cd2+", "Pt3+", 0.1948784022], + ["Pt3+", "Cd2+", 0.1948784022], + ["Cd2+", "Pt5+", 0.444234602], + ["Pt5+", "Cd2+", 0.444234602], + ["Cd2+", "Pt6+", 0.2775547003], + ["Pt6+", "Cd2+", 0.2775547003], + ["Cd2+", "Au2+", 0.2540193417], + ["Au2+", "Cd2+", 0.2540193417], + ["Cd2+", "Au3+", 0.4523047724], + ["Au3+", "Cd2+", 0.4523047724], + ["Cd2+", "Au5+", 0.2632496158], + ["Au5+", "Cd2+", 0.2632496158], + ["Cd2+", "Au4+", 0.0897145344], + ["Au4+", "Cd2+", 0.0897145344], + ["Cd2+", "Hg2+", 0.5661915916], + ["Hg2+", "Cd2+", 0.5661915916], + ["Cd2+", "Tl3+", 0.3920521215], + ["Tl3+", "Cd2+", 0.3920521215], + ["Cd2+", "Tl2+", 0.3144778596], + ["Tl2+", "Cd2+", 0.3144778596], + ["Cd2+", "Pb2+", 0.4545075368], + ["Pb2+", "Cd2+", 0.4545075368], + ["Cd2+", "Pb3+", 0.227535734], + ["Pb3+", "Cd2+", 0.227535734], + ["Cd2+", "Pb4+", 0.2467124958], + ["Pb4+", "Cd2+", 0.2467124958], + ["Cd2+", "Bi3+", 0.6028293801], + ["Bi3+", "Cd2+", 0.6028293801], + ["Cd2+", "Bi5+", 0.1852163315], + ["Bi5+", "Cd2+", 0.1852163315], + ["Cd2+", "Bi2+", 0.161467249], + ["Bi2+", "Cd2+", 0.161467249], + ["Cd2+", "Bi3-", 0.1753695011], + ["Bi3-", "Cd2+", 0.1753695011], + ["Cd2+", "Bi4+", 0.0849851053], + ["Bi4+", "Cd2+", 0.0849851053], + ["Cd2+", "Ac3+", 0.2894504639], + ["Ac3+", "Cd2+", 0.2894504639], + ["Cd2+", "Th4+", 0.2443373752], + ["Th4+", "Cd2+", 0.2443373752], + ["Cd2+", "Th3+", 0.2414241328], + ["Th3+", "Cd2+", 0.2414241328], + ["Cd2+", "Pa4+", 0.2966769609], + ["Pa4+", "Cd2+", 0.2966769609], + ["Cd2+", "Pa5+", 0.2042349032], + ["Pa5+", "Cd2+", 0.2042349032], + ["Cd2+", "Pa3+", 0.357724756], + ["Pa3+", "Cd2+", 0.357724756], + ["Cd2+", "U6+", 0.1152617658], + ["U6+", "Cd2+", 0.1152617658], + ["Cd2+", "U4+", 0.2115822431], + ["U4+", "Cd2+", 0.2115822431], + ["Cd2+", "U3+", 0.2619700726], + ["U3+", "Cd2+", 0.2619700726], + ["Cd2+", "U2+", 0.3221594749], + ["U2+", "Cd2+", 0.3221594749], + ["Cd2+", "U5+", 0.0912751657], + ["U5+", "Cd2+", 0.0912751657], + ["Cd2+", "Np6+", 0.2489499549], + ["Np6+", "Cd2+", 0.2489499549], + ["Cd2+", "Np4+", 0.1231775532], + ["Np4+", "Cd2+", 0.1231775532], + ["Cd2+", "Np3+", 0.381949364], + ["Np3+", "Cd2+", 0.381949364], + ["Cd2+", "Np7+", 0.2745045816], + ["Np7+", "Cd2+", 0.2745045816], + ["Cd2+", "Np5+", 0.4636961345], + ["Np5+", "Cd2+", 0.4636961345], + ["Cd2+", "Pu7+", 0.1305000196], + ["Pu7+", "Cd2+", 0.1305000196], + ["Cd2+", "Pu6+", 0.162827846], + ["Pu6+", "Cd2+", 0.162827846], + ["Cd2+", "Pu3+", 0.2414863513], + ["Pu3+", "Cd2+", 0.2414863513], + ["Cd2+", "Pu4+", 0.053901878], + ["Pu4+", "Cd2+", 0.053901878], + ["Cd2+", "Pu5+", 0.2342351031], + ["Pu5+", "Cd2+", 0.2342351031], + ["Cd2+", "H1+", -0.0446861566], + ["H1+", "Cd2+", -0.0446861566], + ["Cd2+", "H1-", 0.1370125445], + ["H1-", "Cd2+", 0.1370125445], + ["Cd2+", "Li1+", 0.3371325115], + ["Li1+", "Cd2+", 0.3371325115], + ["Cd2+", "B1+", 0.1802399373], + ["B1+", "Cd2+", 0.1802399373], + ["Cd2+", "B1-", -0.2296276612], + ["B1-", "Cd2+", -0.2296276612], + ["Cd2+", "C1-", 0.1849700212], + ["C1-", "Cd2+", 0.1849700212], + ["Cd2+", "C1+", 0.2566678032], + ["C1+", "Cd2+", 0.2566678032], + ["Cd2+", "N1-", 0.0936708868], + ["N1-", "Cd2+", 0.0936708868], + ["Cd2+", "N1+", 0.1930550982], + ["N1+", "Cd2+", 0.1930550982], + ["Cd2+", "O1-", 0.1791864284], + ["O1-", "Cd2+", 0.1791864284], + ["Cd2+", "F1-", 0.1325758583], + ["F1-", "Cd2+", 0.1325758583], + ["Cd2+", "Na1+", 0.4994514814], + ["Na1+", "Cd2+", 0.4994514814], + ["Cd2+", "Si1-", 0.0410325605], + ["Si1-", "Cd2+", 0.0410325605], + ["Cd2+", "P1+", 0.0867827021], + ["P1+", "Cd2+", 0.0867827021], + ["Cd2+", "P1-", 0.1218619972], + ["P1-", "Cd2+", 0.1218619972], + ["Cd2+", "S1-", 0.1117611829], + ["S1-", "Cd2+", 0.1117611829], + ["Cd2+", "S1+", 0.1684745816], + ["S1+", "Cd2+", 0.1684745816], + ["Cd2+", "Cl1-", 0.1798831683], + ["Cl1-", "Cd2+", 0.1798831683], + ["Cd2+", "K1+", 0.5965634997], + ["K1+", "Cd2+", 0.5965634997], + ["Cd2+", "Sc1+", 0.2272166192], + ["Sc1+", "Cd2+", 0.2272166192], + ["Cd2+", "Mn1+", 0.2786799929], + ["Mn1+", "Cd2+", 0.2786799929], + ["Cd2+", "Fe1+", 0.1927160485], + ["Fe1+", "Cd2+", 0.1927160485], + ["Cd2+", "Co1+", 0.2992816629], + ["Co1+", "Cd2+", 0.2992816629], + ["Cd2+", "Ni1+", 0.2962814898], + ["Ni1+", "Cd2+", 0.2962814898], + ["Cd2+", "Cu1+", 0.5696463824], + ["Cu1+", "Cd2+", 0.5696463824], + ["Cd2+", "Ga1+", 0.3085526126], + ["Ga1+", "Cd2+", 0.3085526126], + ["Cd2+", "As1-", 0.1381814761], + ["As1-", "Cd2+", 0.1381814761], + ["Cd2+", "As1+", 0.3134498812], + ["As1+", "Cd2+", 0.3134498812], + ["Cd2+", "Se1-", 0.1516984443], + ["Se1-", "Cd2+", 0.1516984443], + ["Cd2+", "Se1+", 0.2598057739], + ["Se1+", "Cd2+", 0.2598057739], + ["Cd2+", "Br1-", 0.160336827], + ["Br1-", "Cd2+", 0.160336827], + ["Cd2+", "Br1+", 0.1583199823], + ["Br1+", "Cd2+", 0.1583199823], + ["Cd2+", "Rb1+", 0.5039794115], + ["Rb1+", "Cd2+", 0.5039794115], + ["Cd2+", "Y1+", 0.0752636334], + ["Y1+", "Cd2+", 0.0752636334], + ["Cd2+", "Zr1+", 0.2008582525], + ["Zr1+", "Cd2+", 0.2008582525], + ["Cd2+", "Nb1+", 0.3949956726], + ["Nb1+", "Cd2+", 0.3949956726], + ["Cd2+", "Tc1-", 0.1891800161], + ["Tc1-", "Cd2+", 0.1891800161], + ["Cd2+", "Tc1+", 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["Sn4+", "Sm3+", 0.5174172394], + ["Sm3+", "Sn4+", 0.5174172394], + ["Sn4+", "Sm2+", 0.0742743238], + ["Sm2+", "Sn4+", 0.0742743238], + ["Sn4+", "Eu2+", 0.3091496435], + ["Eu2+", "Sn4+", 0.3091496435], + ["Sn4+", "Eu3+", 0.3523445585], + ["Eu3+", "Sn4+", 0.3523445585], + ["Sn4+", "Gd2+", 0.1780966091], + ["Gd2+", "Sn4+", 0.1780966091], + ["Sn4+", "Gd3+", 0.4773256594], + ["Gd3+", "Sn4+", 0.4773256594], + ["Sn4+", "Tb3+", 0.4598471225], + ["Tb3+", "Sn4+", 0.4598471225], + ["Sn4+", "Tb2+", 0.0940399039], + ["Tb2+", "Sn4+", 0.0940399039], + ["Sn4+", "Tb4+", 0.1123152289], + ["Tb4+", "Sn4+", 0.1123152289], + ["Sn4+", "Dy3+", 0.4266126911], + ["Dy3+", "Sn4+", 0.4266126911], + ["Sn4+", "Dy2+", 0.0814197239], + ["Dy2+", "Sn4+", 0.0814197239], + ["Sn4+", "Ho3+", 0.4631518629], + ["Ho3+", "Sn4+", 0.4631518629], + ["Sn4+", "Ho2+", 0.2184953627], + ["Ho2+", "Sn4+", 0.2184953627], + ["Sn4+", "Er3+", 0.3283771525], + ["Er3+", "Sn4+", 0.3283771525], + ["Sn4+", "Tm3+", 0.4064090729], + ["Tm3+", "Sn4+", 0.4064090729], + ["Sn4+", "Tm2+", 0.2089592516], + ["Tm2+", "Sn4+", 0.2089592516], + ["Sn4+", "Yb3+", 0.3118323704], + ["Yb3+", "Sn4+", 0.3118323704], + ["Sn4+", "Yb2+", 0.2327604735], + ["Yb2+", "Sn4+", 0.2327604735], + ["Sn4+", "Lu3+", 0.2656755899], + ["Lu3+", "Sn4+", 0.2656755899], + ["Sn4+", "Hf3+", 0.2521076465], + ["Hf3+", "Sn4+", 0.2521076465], + ["Sn4+", "Hf2+", 0.0847514461], + ["Hf2+", "Sn4+", 0.0847514461], + ["Sn4+", "Hf4+", 0.3552682851], + ["Hf4+", "Sn4+", 0.3552682851], + ["Sn4+", "Ta5+", 0.5190771944], + ["Ta5+", "Sn4+", 0.5190771944], + ["Sn4+", "Ta3+", 0.0487298974], + ["Ta3+", "Sn4+", 0.0487298974], + ["Sn4+", "Ta4+", 0.4459474051], + ["Ta4+", "Sn4+", 0.4459474051], + ["Sn4+", "Ta2+", 0.0134851839], + ["Ta2+", "Sn4+", 0.0134851839], + ["Sn4+", "W6+", 0.5163287253], + ["W6+", "Sn4+", 0.5163287253], + ["Sn4+", "W4+", 0.388689438], + ["W4+", "Sn4+", 0.388689438], + ["Sn4+", "W2+", 0.4177574016], + ["W2+", "Sn4+", 0.4177574016], + ["Sn4+", "W3+", 0.3304676724], + ["W3+", "Sn4+", 0.3304676724], + ["Sn4+", "W5+", 0.4267271518], + ["W5+", "Sn4+", 0.4267271518], + ["Sn4+", "Re5+", 0.3982255973], + ["Re5+", "Sn4+", 0.3982255973], + ["Sn4+", "Re3+", 0.240138649], + ["Re3+", "Sn4+", 0.240138649], + ["Sn4+", "Re6+", 0.2405990802], + ["Re6+", "Sn4+", 0.2405990802], + ["Sn4+", "Re2+", 0.3381444152], + ["Re2+", "Sn4+", 0.3381444152], + ["Sn4+", "Re4+", 0.255406916], + ["Re4+", "Sn4+", 0.255406916], + ["Sn4+", "Re7+", 0.4056457702], + ["Re7+", "Sn4+", 0.4056457702], + ["Sn4+", "Os7+", 0.2097079454], + ["Os7+", "Sn4+", 0.2097079454], + ["Sn4+", "Os6+", 0.0399447082], + ["Os6+", "Sn4+", 0.0399447082], + ["Sn4+", "Os5+", 0.3434663351], + ["Os5+", "Sn4+", 0.3434663351], + ["Sn4+", "Os2-", 0.1870557433], + ["Os2-", "Sn4+", 0.1870557433], + ["Sn4+", "Os3+", 0.212570939], + ["Os3+", "Sn4+", 0.212570939], + ["Sn4+", "Os4+", 0.1758441189], + ["Os4+", "Sn4+", 0.1758441189], + ["Sn4+", "Os8+", 0.1107698882], + ["Os8+", "Sn4+", 0.1107698882], + ["Sn4+", "Os2+", 0.2259650281], + ["Os2+", "Sn4+", 0.2259650281], + ["Sn4+", "Ir3+", -0.0631310583], + ["Ir3+", "Sn4+", -0.0631310583], + ["Sn4+", "Ir4+", 0.3430301857], + ["Ir4+", "Sn4+", 0.3430301857], + ["Sn4+", "Ir5+", 0.5190798094], + ["Ir5+", "Sn4+", 0.5190798094], + ["Sn4+", "Ir6+", 0.241023219], + ["Ir6+", "Sn4+", 0.241023219], + ["Sn4+", "Pt2+", 0.263125937], + ["Pt2+", "Sn4+", 0.263125937], + ["Sn4+", "Pt2-", -0.0182936454], + ["Pt2-", "Sn4+", -0.0182936454], + ["Sn4+", "Pt4+", 0.235721028], + ["Pt4+", "Sn4+", 0.235721028], + ["Sn4+", "Pt3+", 0.1908090924], + ["Pt3+", "Sn4+", 0.1908090924], + ["Sn4+", "Pt5+", 0.2252595865], + ["Pt5+", "Sn4+", 0.2252595865], + ["Sn4+", "Pt6+", 0.1260590338], + ["Pt6+", "Sn4+", 0.1260590338], + ["Sn4+", "Au2+", 0.1324976285], + ["Au2+", "Sn4+", 0.1324976285], + ["Sn4+", "Au3+", 0.141481111], + ["Au3+", "Sn4+", 0.141481111], + ["Sn4+", "Au5+", 0.0770047323], + ["Au5+", "Sn4+", 0.0770047323], + ["Sn4+", "Au4+", 0.0800751006], + ["Au4+", "Sn4+", 0.0800751006], + ["Sn4+", "Hg2+", 0.3522391104], + ["Hg2+", "Sn4+", 0.3522391104], + ["Sn4+", "Tl3+", 0.2370220668], + ["Tl3+", "Sn4+", 0.2370220668], + ["Sn4+", "Tl2+", 0.3641694161], + ["Tl2+", "Sn4+", 0.3641694161], + ["Sn4+", "Pb2+", 0.4719760267], + ["Pb2+", "Sn4+", 0.4719760267], + ["Sn4+", "Pb3+", 0.2307992192], + ["Pb3+", "Sn4+", 0.2307992192], + ["Sn4+", "Pb4+", 0.3337454203], + ["Pb4+", "Sn4+", 0.3337454203], + ["Sn4+", "Bi3+", 0.5943915793], + ["Bi3+", "Sn4+", 0.5943915793], + ["Sn4+", "Bi5+", 0.2376775023], + ["Bi5+", "Sn4+", 0.2376775023], + ["Sn4+", "Bi2+", 0.5122031985], + ["Bi2+", "Sn4+", 0.5122031985], + ["Sn4+", "Bi3-", 0.0489337331], + ["Bi3-", "Sn4+", 0.0489337331], + ["Sn4+", "Bi4+", 0.2288325584], + ["Bi4+", "Sn4+", 0.2288325584], + ["Sn4+", "Ac3+", 0.2945239933], + ["Ac3+", "Sn4+", 0.2945239933], + ["Sn4+", "Th4+", 0.1177634268], + ["Th4+", "Sn4+", 0.1177634268], + ["Sn4+", "Th3+", 0.2405604972], + ["Th3+", "Sn4+", 0.2405604972], + ["Sn4+", "Pa4+", 0.2399003767], + ["Pa4+", "Sn4+", 0.2399003767], + ["Sn4+", "Pa5+", 0.3051931267], + ["Pa5+", "Sn4+", 0.3051931267], + ["Sn4+", "Pa3+", 0.0065315074], + ["Pa3+", "Sn4+", 0.0065315074], + ["Sn4+", "U6+", 0.4257459833], + ["U6+", "Sn4+", 0.4257459833], + ["Sn4+", "U4+", 0.174400614], + ["U4+", "Sn4+", 0.174400614], + ["Sn4+", "U3+", 0.0502700094], + ["U3+", "Sn4+", 0.0502700094], + ["Sn4+", "U2+", 0.2650061076], + ["U2+", "Sn4+", 0.2650061076], + ["Sn4+", "U5+", 0.1109988281], + ["U5+", "Sn4+", 0.1109988281], + ["Sn4+", "Np6+", 0.1413244573], + ["Np6+", "Sn4+", 0.1413244573], + ["Sn4+", "Np4+", 0.1317469968], + ["Np4+", "Sn4+", 0.1317469968], + ["Sn4+", "Np3+", 0.191637839], + ["Np3+", "Sn4+", 0.191637839], + ["Sn4+", "Np7+", 0.3718857768], + ["Np7+", "Sn4+", 0.3718857768], + ["Sn4+", "Np5+", 0.4001562891], + ["Np5+", "Sn4+", 0.4001562891], + ["Sn4+", "Pu7+", 0.3882044067], + ["Pu7+", "Sn4+", 0.3882044067], + ["Sn4+", "Pu6+", 0.2232011159], + ["Pu6+", "Sn4+", 0.2232011159], + ["Sn4+", "Pu3+", 0.4730140355], + ["Pu3+", "Sn4+", 0.4730140355], + ["Sn4+", "Pu4+", 0.2344177873], + ["Pu4+", "Sn4+", 0.2344177873], + ["Sn4+", "Pu5+", 0.308988368], + ["Pu5+", "Sn4+", 0.308988368], + ["Sn4+", "H1+", 0.3393488318], + ["H1+", "Sn4+", 0.3393488318], + ["Sn4+", "H1-", 0.1629158733], + ["H1-", "Sn4+", 0.1629158733], + ["Sn4+", "Li1+", 0.3741623643], + ["Li1+", "Sn4+", 0.3741623643], + ["Sn4+", "B1+", 0.0591892394], + ["B1+", "Sn4+", 0.0591892394], + ["Sn4+", "B1-", -0.1198881951], + ["B1-", "Sn4+", -0.1198881951], + ["Sn4+", "C1-", 0.1045117494], + ["C1-", "Sn4+", 0.1045117494], + ["Sn4+", "C1+", 0.0861532661], + ["C1+", "Sn4+", 0.0861532661], + ["Sn4+", "N1-", 0.2132860332], + ["N1-", "Sn4+", 0.2132860332], + ["Sn4+", "N1+", 0.1665400546], + ["N1+", "Sn4+", 0.1665400546], + ["Sn4+", "O1-", 0.0787609792], + ["O1-", "Sn4+", 0.0787609792], + ["Sn4+", "F1-", 0.1342846732], + ["F1-", "Sn4+", 0.1342846732], + ["Sn4+", "Na1+", 0.550519683], + ["Na1+", "Sn4+", 0.550519683], + ["Sn4+", "Si1-", 0.0260045305], + ["Si1-", "Sn4+", 0.0260045305], + ["Sn4+", "P1+", 0.0816084149], + ["P1+", "Sn4+", 0.0816084149], + ["Sn4+", "P1-", -0.1438641249], + ["P1-", "Sn4+", -0.1438641249], + ["Sn4+", "S1-", 0.2927565502], + ["S1-", "Sn4+", 0.2927565502], + ["Sn4+", "S1+", 0.1658197478], + ["S1+", "Sn4+", 0.1658197478], + ["Sn4+", "Cl1-", 0.1346426785], + ["Cl1-", "Sn4+", 0.1346426785], + ["Sn4+", "K1+", 0.4363219624], + ["K1+", "Sn4+", 0.4363219624], + ["Sn4+", "Sc1+", -0.0703582231], + ["Sc1+", "Sn4+", -0.0703582231], + ["Sn4+", "Mn1+", 0.0744171625], + ["Mn1+", "Sn4+", 0.0744171625], + ["Sn4+", "Fe1+", 0.1251533052], + ["Fe1+", "Sn4+", 0.1251533052], + ["Sn4+", "Co1+", 0.1070011364], + ["Co1+", "Sn4+", 0.1070011364], + ["Sn4+", "Ni1+", 0.1438446306], + ["Ni1+", "Sn4+", 0.1438446306], + ["Sn4+", "Cu1+", 0.4142389917], + ["Cu1+", "Sn4+", 0.4142389917], + ["Sn4+", "Ga1+", -0.0601538375], + ["Ga1+", "Sn4+", -0.0601538375], + ["Sn4+", "As1-", -0.0370521584], + ["As1-", "Sn4+", -0.0370521584], + ["Sn4+", "As1+", 0.4354807267], + ["As1+", "Sn4+", 0.4354807267], + ["Sn4+", "Se1-", 0.17470558], + ["Se1-", "Sn4+", 0.17470558], + ["Sn4+", "Se1+", 0.3064060085], + ["Se1+", "Sn4+", 0.3064060085], + ["Sn4+", "Br1-", 0.1454897129], + ["Br1-", "Sn4+", 0.1454897129], + ["Sn4+", "Br1+", 0.1830446556], + ["Br1+", "Sn4+", 0.1830446556], + ["Sn4+", "Rb1+", 0.3658540194], + ["Rb1+", "Sn4+", 0.3658540194], + ["Sn4+", "Y1+", 0.0902731737], + ["Y1+", "Sn4+", 0.0902731737], + ["Sn4+", "Zr1+", -0.1056823055], + ["Zr1+", "Sn4+", -0.1056823055], + ["Sn4+", "Nb1+", 0.0782458247], + ["Nb1+", "Sn4+", 0.0782458247], + ["Sn4+", "Tc1-", 0.086120316], + ["Tc1-", "Sn4+", 0.086120316], + ["Sn4+", "Tc1+", 0.2450891406], + ["Tc1+", "Sn4+", 0.2450891406], + ["Sn4+", "Rh1+", -0.0636441742], + ["Rh1+", "Sn4+", -0.0636441742], + ["Sn4+", "Ag1+", 0.5137710238], + ["Ag1+", "Sn4+", 0.5137710238], + ["Sn4+", "In1+", 0.1202834624], + ["In1+", "Sn4+", 0.1202834624], + ["Sn4+", "Sb1-", -0.0557984462], + ["Sb1-", "Sn4+", -0.0557984462], + ["Sn4+", "Sb1+", 0.2550087109], + ["Sb1+", "Sn4+", 0.2550087109], + ["Sn4+", "Te1-", 0.1455863926], + ["Te1-", "Sn4+", 0.1455863926], + ["Sn4+", "Te1+", 0.1486294588], + ["Te1+", "Sn4+", 0.1486294588], + ["Sn4+", "I1-", -0.0112719627], + ["I1-", "Sn4+", -0.0112719627], + ["Sn4+", "I1+", 0.1611404456], + ["I1+", "Sn4+", 0.1611404456], + ["Sn4+", "Cs1+", 0.4635923007], + ["Cs1+", "Sn4+", 0.4635923007], + ["Sn4+", "La1+", -0.0744658864], + ["La1+", "Sn4+", -0.0744658864], + ["Sn4+", "Tb1+", -0.0257987978], + ["Tb1+", "Sn4+", -0.0257987978], + ["Sn4+", "Ta1+", 0.2215193864], + ["Ta1+", "Sn4+", 0.2215193864], + ["Sn4+", "Os1-", 0.1319437746], + ["Os1-", "Sn4+", 0.1319437746], + ["Sn4+", "Os1+", -0.1274746636], + ["Os1+", "Sn4+", -0.1274746636], + ["Sn4+", "Pt1-", 0.1388166756], + ["Pt1-", "Sn4+", 0.1388166756], + ["Sn4+", "Pt1+", 0.0222983382], + ["Pt1+", "Sn4+", 0.0222983382], + ["Sn4+", "Au1-", -0.0719723434], + ["Au1-", "Sn4+", -0.0719723434], + ["Sn4+", "Au1+", 0.1886694825], + ["Au1+", "Sn4+", 0.1886694825], + ["Sn4+", "Hg1+", 0.1890560931], + ["Hg1+", "Sn4+", 0.1890560931], + ["Sn4+", "Tl1+", 0.4975295365], + ["Tl1+", "Sn4+", 0.4975295365], + ["Sn4+", "Bi1+", 0.2966480938], + ["Bi1+", "Sn4+", 0.2966480938], + ["Sn3+", "Sn3+", 1.0], + ["Sn3+", "Sn2+", 0.3852007053], + ["Sn2+", "Sn3+", 0.3852007053], + ["Sn3+", "Sb5+", 0.4077779909], + ["Sb5+", "Sn3+", 0.4077779909], + ["Sn3+", "Sb2-", -0.0307578346], + ["Sb2-", "Sn3+", -0.0307578346], + ["Sn3+", "Sb3-", -0.0426526977], + ["Sb3-", "Sn3+", -0.0426526977], + ["Sn3+", "Sb3+", 0.3520521426], + ["Sb3+", "Sn3+", 0.3520521426], + ["Sn3+", "Sb4+", 0.3057649348], + ["Sb4+", "Sn3+", 0.3057649348], + ["Sn3+", "Te2-", 0.0412254653], + ["Te2-", "Sn3+", 0.0412254653], + ["Sn3+", "Te4+", 0.4417361472], + ["Te4+", "Sn3+", 0.4417361472], + ["Sn3+", "Te6+", 0.2909742603], + ["Te6+", "Sn3+", 0.2909742603], + ["Sn3+", "Te2+", 0.2204026549], + ["Te2+", "Sn3+", 0.2204026549], + ["Sn3+", "Te5+", 0.4050556467], + ["Te5+", "Sn3+", 0.4050556467], + ["Sn3+", "I3+", 0.2317706009], + ["I3+", "Sn3+", 0.2317706009], + ["Sn3+", "I7+", 0.3770082107], + ["I7+", "Sn3+", 0.3770082107], + ["Sn3+", "I5+", 0.4094340049], + ["I5+", "Sn3+", 0.4094340049], + ["Sn3+", "I2+", 0.3519373824], + ["I2+", "Sn3+", 0.3519373824], + ["Sn3+", "Ba2+", 0.4784422576], + ["Ba2+", "Sn3+", 0.4784422576], + ["Sn3+", "La3+", 0.4552060004], + ["La3+", "Sn3+", 0.4552060004], + ["Sn3+", "La2+", 0.3086241825], + ["La2+", "Sn3+", 0.3086241825], + ["Sn3+", "Ce3+", 0.2222315108], + ["Ce3+", "Sn3+", 0.2222315108], + ["Sn3+", "Ce2+", 0.1615390009], + ["Ce2+", "Sn3+", 0.1615390009], + ["Sn3+", "Ce4+", 0.2246007912], + ["Ce4+", "Sn3+", 0.2246007912], + ["Sn3+", "Pr3+", 0.2988453709], + ["Pr3+", "Sn3+", 0.2988453709], + ["Sn3+", "Pr4+", 0.2563571112], + ["Pr4+", "Sn3+", 0.2563571112], + ["Sn3+", "Pr2+", 0.1233795406], + ["Pr2+", "Sn3+", 0.1233795406], + ["Sn3+", "Nd3+", 0.2259640634], + ["Nd3+", "Sn3+", 0.2259640634], + ["Sn3+", "Nd2+", 0.2921265975], + ["Nd2+", "Sn3+", 0.2921265975], + ["Sn3+", "Pm3+", 0.3695773309], + ["Pm3+", "Sn3+", 0.3695773309], + ["Sn3+", "Sm3+", 0.3112457805], + ["Sm3+", "Sn3+", 0.3112457805], + ["Sn3+", "Sm2+", 0.1035156596], + ["Sm2+", "Sn3+", 0.1035156596], + ["Sn3+", "Eu2+", 0.3798183587], + ["Eu2+", "Sn3+", 0.3798183587], + ["Sn3+", "Eu3+", 0.4340701614], + ["Eu3+", "Sn3+", 0.4340701614], + ["Sn3+", "Gd2+", 0.1081985575], + ["Gd2+", "Sn3+", 0.1081985575], + ["Sn3+", "Gd3+", 0.448998585], + ["Gd3+", "Sn3+", 0.448998585], + ["Sn3+", "Tb3+", 0.2714528162], + ["Tb3+", "Sn3+", 0.2714528162], + ["Sn3+", "Tb2+", 0.142080881], + ["Tb2+", "Sn3+", 0.142080881], + ["Sn3+", "Tb4+", 0.23929373], + ["Tb4+", "Sn3+", 0.23929373], + ["Sn3+", "Dy3+", 0.3318548228], + ["Dy3+", "Sn3+", 0.3318548228], + ["Sn3+", "Dy2+", 0.0733238832], + ["Dy2+", "Sn3+", 0.0733238832], + ["Sn3+", "Ho3+", 0.3548431907], + ["Ho3+", "Sn3+", 0.3548431907], + ["Sn3+", "Ho2+", 0.2132040458], + ["Ho2+", "Sn3+", 0.2132040458], + ["Sn3+", "Er3+", 0.2912172803], + ["Er3+", "Sn3+", 0.2912172803], + ["Sn3+", "Tm3+", 0.3638692056], + ["Tm3+", "Sn3+", 0.3638692056], + ["Sn3+", "Tm2+", 0.0341585653], + ["Tm2+", "Sn3+", 0.0341585653], + ["Sn3+", "Yb3+", 0.3177940907], + ["Yb3+", "Sn3+", 0.3177940907], + ["Sn3+", "Yb2+", 0.0777841749], + ["Yb2+", "Sn3+", 0.0777841749], + ["Sn3+", "Lu3+", 0.3012024598], + ["Lu3+", "Sn3+", 0.3012024598], + ["Sn3+", "Hf3+", 0.0276031898], + ["Hf3+", "Sn3+", 0.0276031898], + ["Sn3+", "Hf2+", 0.1215504025], + ["Hf2+", "Sn3+", 0.1215504025], + ["Sn3+", "Hf4+", 0.308891268], + ["Hf4+", "Sn3+", 0.308891268], + ["Sn3+", "Ta5+", 0.3906182716], + ["Ta5+", "Sn3+", 0.3906182716], + ["Sn3+", "Ta3+", -0.1302345975], + ["Ta3+", "Sn3+", -0.1302345975], + ["Sn3+", "Ta4+", 0.1862389149], + ["Ta4+", "Sn3+", 0.1862389149], + ["Sn3+", "Ta2+", -0.1198608213], + ["Ta2+", "Sn3+", -0.1198608213], + ["Sn3+", "W6+", 0.3168266509], + ["W6+", "Sn3+", 0.3168266509], + ["Sn3+", "W4+", 0.3412904051], + ["W4+", "Sn3+", 0.3412904051], + ["Sn3+", "W2+", 0.1007557526], + ["W2+", "Sn3+", 0.1007557526], + ["Sn3+", "W3+", 0.1435470732], + ["W3+", "Sn3+", 0.1435470732], + ["Sn3+", "W5+", 0.3497642158], + ["W5+", "Sn3+", 0.3497642158], + ["Sn3+", "Re5+", 0.1525886599], + ["Re5+", "Sn3+", 0.1525886599], + ["Sn3+", "Re3+", -0.0309995547], + ["Re3+", "Sn3+", -0.0309995547], + ["Sn3+", "Re6+", 0.1496640305], + ["Re6+", "Sn3+", 0.1496640305], + ["Sn3+", "Re2+", 0.1973410819], + ["Re2+", "Sn3+", 0.1973410819], + ["Sn3+", "Re4+", -0.0498685403], + ["Re4+", "Sn3+", -0.0498685403], + ["Sn3+", "Re7+", 0.3277703342], + ["Re7+", "Sn3+", 0.3277703342], + ["Sn3+", "Os7+", 0.2689732278], + ["Os7+", "Sn3+", 0.2689732278], + ["Sn3+", "Os6+", 0.0337399129], + ["Os6+", "Sn3+", 0.0337399129], + ["Sn3+", "Os5+", 0.2993553908], + ["Os5+", "Sn3+", 0.2993553908], + ["Sn3+", "Os2-", -0.1061230272], + ["Os2-", "Sn3+", -0.1061230272], + ["Sn3+", "Os3+", -0.0453536328], + ["Os3+", "Sn3+", -0.0453536328], + ["Sn3+", "Os4+", -0.0072551675], + ["Os4+", "Sn3+", -0.0072551675], + ["Sn3+", "Os8+", -0.0300512449], + ["Os8+", "Sn3+", -0.0300512449], + ["Sn3+", "Os2+", 0.1970707783], + ["Os2+", "Sn3+", 0.1970707783], + ["Sn3+", "Ir3+", -0.0056749426], + ["Ir3+", "Sn3+", -0.0056749426], + ["Sn3+", "Ir4+", 0.1171671074], + ["Ir4+", "Sn3+", 0.1171671074], + ["Sn3+", "Ir5+", 0.2441334057], + ["Ir5+", "Sn3+", 0.2441334057], + ["Sn3+", "Ir6+", 0.2037170126], + ["Ir6+", "Sn3+", 0.2037170126], + ["Sn3+", "Pt2+", 0.1083106638], + ["Pt2+", "Sn3+", 0.1083106638], + ["Sn3+", "Pt2-", -0.066138094], + ["Pt2-", "Sn3+", -0.066138094], + ["Sn3+", "Pt4+", 0.2119279734], + ["Pt4+", "Sn3+", 0.2119279734], + ["Sn3+", "Pt3+", 0.1701039461], + ["Pt3+", "Sn3+", 0.1701039461], + ["Sn3+", "Pt5+", 0.1259279944], + ["Pt5+", "Sn3+", 0.1259279944], + ["Sn3+", "Pt6+", 0.1150502431], + ["Pt6+", "Sn3+", 0.1150502431], + ["Sn3+", "Au2+", 0.2007254719], + ["Au2+", "Sn3+", 0.2007254719], + ["Sn3+", "Au3+", 0.1726033753], + ["Au3+", "Sn3+", 0.1726033753], + ["Sn3+", "Au5+", 0.1099011473], + ["Au5+", "Sn3+", 0.1099011473], + ["Sn3+", "Au4+", -0.0087989211], + ["Au4+", "Sn3+", -0.0087989211], + ["Sn3+", "Hg2+", 0.2537265616], + ["Hg2+", "Sn3+", 0.2537265616], + ["Sn3+", "Tl3+", 0.2937291408], + ["Tl3+", "Sn3+", 0.2937291408], + ["Sn3+", "Tl2+", 0.3695099382], + ["Tl2+", "Sn3+", 0.3695099382], + ["Sn3+", "Pb2+", 0.3322201992], + ["Pb2+", "Sn3+", 0.3322201992], + ["Sn3+", "Pb3+", 0.2398938473], + ["Pb3+", "Sn3+", 0.2398938473], + ["Sn3+", "Pb4+", 0.3340254586], + ["Pb4+", "Sn3+", 0.3340254586], + ["Sn3+", "Bi3+", 0.466596371], + ["Bi3+", "Sn3+", 0.466596371], + ["Sn3+", "Bi5+", 0.3440427825], + ["Bi5+", "Sn3+", 0.3440427825], + ["Sn3+", "Bi2+", 0.3491638189], + ["Bi2+", "Sn3+", 0.3491638189], + ["Sn3+", "Bi3-", 0.1953150047], + ["Bi3-", "Sn3+", 0.1953150047], + ["Sn3+", "Bi4+", 0.3283340563], + ["Bi4+", "Sn3+", 0.3283340563], + ["Sn3+", "Ac3+", 0.1911072032], + ["Ac3+", "Sn3+", 0.1911072032], + ["Sn3+", "Th4+", 0.1861727988], + ["Th4+", "Sn3+", 0.1861727988], + ["Sn3+", "Th3+", -0.0381596816], + ["Th3+", "Sn3+", -0.0381596816], + ["Sn3+", "Pa4+", 0.1632062634], + ["Pa4+", "Sn3+", 0.1632062634], + ["Sn3+", "Pa5+", 0.4009976226], + ["Pa5+", "Sn3+", 0.4009976226], + ["Sn3+", "Pa3+", 0.1459466189], + ["Pa3+", "Sn3+", 0.1459466189], + ["Sn3+", "U6+", 0.2762590783], + ["U6+", "Sn3+", 0.2762590783], + ["Sn3+", "U4+", 0.1078250041], + ["U4+", "Sn3+", 0.1078250041], + ["Sn3+", "U3+", -0.0270876691], + ["U3+", "Sn3+", -0.0270876691], + ["Sn3+", "U2+", -0.0088607336], + ["U2+", "Sn3+", -0.0088607336], + ["Sn3+", "U5+", 0.1192509391], + ["U5+", "Sn3+", 0.1192509391], + ["Sn3+", "Np6+", 0.32353051], + ["Np6+", "Sn3+", 0.32353051], + ["Sn3+", "Np4+", 0.1857893845], + ["Np4+", "Sn3+", 0.1857893845], + ["Sn3+", "Np3+", 0.0515387542], + ["Np3+", "Sn3+", 0.0515387542], + ["Sn3+", "Np7+", 0.3407638544], + ["Np7+", "Sn3+", 0.3407638544], + ["Sn3+", "Np5+", 0.2784396666], + ["Np5+", "Sn3+", 0.2784396666], + ["Sn3+", "Pu7+", 0.3766444535], + ["Pu7+", "Sn3+", 0.3766444535], + ["Sn3+", "Pu6+", 0.1353113061], + ["Pu6+", "Sn3+", 0.1353113061], + ["Sn3+", "Pu3+", 0.169904734], + ["Pu3+", "Sn3+", 0.169904734], + ["Sn3+", "Pu4+", 0.1878096807], + ["Pu4+", "Sn3+", 0.1878096807], + ["Sn3+", "Pu5+", 0.3069309781], + ["Pu5+", "Sn3+", 0.3069309781], + ["Sn3+", "H1+", 0.1372836926], + ["H1+", "Sn3+", 0.1372836926], + ["Sn3+", "H1-", 0.0351966672], + ["H1-", "Sn3+", 0.0351966672], + ["Sn3+", "Li1+", 0.5473416989], + ["Li1+", "Sn3+", 0.5473416989], + ["Sn3+", "B1+", 0.0504640204], + ["B1+", "Sn3+", 0.0504640204], + ["Sn3+", "B1-", -0.0567572266], + ["B1-", "Sn3+", -0.0567572266], + ["Sn3+", "C1-", -0.0149660188], + ["C1-", "Sn3+", -0.0149660188], + ["Sn3+", "C1+", 0.1628661249], + ["C1+", "Sn3+", 0.1628661249], + ["Sn3+", "N1-", 0.0853948414], + ["N1-", "Sn3+", 0.0853948414], + ["Sn3+", "N1+", 0.228371955], + ["N1+", "Sn3+", 0.228371955], + ["Sn3+", "O1-", 0.0472695472], + ["O1-", "Sn3+", 0.0472695472], + ["Sn3+", "F1-", 0.1553858039], + ["F1-", "Sn3+", 0.1553858039], + ["Sn3+", "Na1+", 0.5234876041], + ["Na1+", "Sn3+", 0.5234876041], + ["Sn3+", "Si1-", 0.0221416741], + ["Si1-", "Sn3+", 0.0221416741], + ["Sn3+", "P1+", 0.0178656196], + ["P1+", "Sn3+", 0.0178656196], + ["Sn3+", "P1-", 0.0365602216], + ["P1-", "Sn3+", 0.0365602216], + ["Sn3+", "S1-", 0.2348446959], + ["S1-", "Sn3+", 0.2348446959], + ["Sn3+", "S1+", 0.1123494948], + ["S1+", "Sn3+", 0.1123494948], + ["Sn3+", "Cl1-", 0.0233552757], + ["Cl1-", "Sn3+", 0.0233552757], + ["Sn3+", "K1+", 0.4511852414], + ["K1+", "Sn3+", 0.4511852414], + ["Sn3+", "Sc1+", -0.001409833], + ["Sc1+", "Sn3+", -0.001409833], + ["Sn3+", "Mn1+", 0.3764601555], + ["Mn1+", "Sn3+", 0.3764601555], + ["Sn3+", "Fe1+", 0.0332278559], + ["Fe1+", "Sn3+", 0.0332278559], + ["Sn3+", "Co1+", 0.0303658285], + ["Co1+", "Sn3+", 0.0303658285], + ["Sn3+", "Ni1+", 0.0926032074], + ["Ni1+", "Sn3+", 0.0926032074], + ["Sn3+", "Cu1+", 0.2628379543], + ["Cu1+", "Sn3+", 0.2628379543], + ["Sn3+", "Ga1+", -0.0224111868], + ["Ga1+", "Sn3+", -0.0224111868], + ["Sn3+", "As1-", 0.0506836228], + ["As1-", "Sn3+", 0.0506836228], + ["Sn3+", "As1+", 0.3234954175], + ["As1+", "Sn3+", 0.3234954175], + ["Sn3+", "Se1-", -0.0004342844], + ["Se1-", "Sn3+", -0.0004342844], + ["Sn3+", "Se1+", 0.1389918754], + ["Se1+", "Sn3+", 0.1389918754], + ["Sn3+", "Br1-", 0.1208800497], + ["Br1-", "Sn3+", 0.1208800497], + ["Sn3+", "Br1+", 0.0735103169], + ["Br1+", "Sn3+", 0.0735103169], + ["Sn3+", "Rb1+", 0.3197221145], + ["Rb1+", "Sn3+", 0.3197221145], + ["Sn3+", "Y1+", 0.1894663631], + ["Y1+", "Sn3+", 0.1894663631], + ["Sn3+", "Zr1+", -0.0403255176], + ["Zr1+", "Sn3+", -0.0403255176], + ["Sn3+", "Nb1+", 0.1500682368], + ["Nb1+", "Sn3+", 0.1500682368], + ["Sn3+", "Tc1-", -0.0468107694], + ["Tc1-", "Sn3+", -0.0468107694], + ["Sn3+", "Tc1+", 0.2308668052], + ["Tc1+", "Sn3+", 0.2308668052], + ["Sn3+", "Rh1+", 0.0511817804], + ["Rh1+", "Sn3+", 0.0511817804], + ["Sn3+", "Ag1+", 0.3570178357], + ["Ag1+", "Sn3+", 0.3570178357], + ["Sn3+", "In1+", 0.1131469029], + ["In1+", "Sn3+", 0.1131469029], + ["Sn3+", "Sb1-", 0.0217182755], + ["Sb1-", "Sn3+", 0.0217182755], + ["Sn3+", "Sb1+", 0.285909217], + ["Sb1+", "Sn3+", 0.285909217], + ["Sn3+", "Te1-", -0.0099447801], + ["Te1-", "Sn3+", -0.0099447801], + ["Sn3+", "Te1+", 0.0674851132], + ["Te1+", "Sn3+", 0.0674851132], + ["Sn3+", "I1-", 0.0977715021], + ["I1-", "Sn3+", 0.0977715021], + ["Sn3+", "I1+", 0.0825799305], + ["I1+", "Sn3+", 0.0825799305], + ["Sn3+", "Cs1+", 0.3285833837], + ["Cs1+", "Sn3+", 0.3285833837], + ["Sn3+", "La1+", -0.0953645413], + ["La1+", "Sn3+", -0.0953645413], + ["Sn3+", "Tb1+", -0.062106715], + ["Tb1+", "Sn3+", -0.062106715], + ["Sn3+", "Ta1+", 0.0678209384], + ["Ta1+", "Sn3+", 0.0678209384], + ["Sn3+", "Os1-", -0.0600676197], + ["Os1-", "Sn3+", -0.0600676197], + ["Sn3+", "Os1+", -0.0820119293], + ["Os1+", "Sn3+", -0.0820119293], + ["Sn3+", "Pt1-", -0.0388302141], + ["Pt1-", "Sn3+", -0.0388302141], + ["Sn3+", "Pt1+", 0.0902625735], + ["Pt1+", "Sn3+", 0.0902625735], + ["Sn3+", "Au1-", -0.0685025845], + ["Au1-", "Sn3+", -0.0685025845], + ["Sn3+", "Au1+", 0.0609066478], + ["Au1+", "Sn3+", 0.0609066478], + ["Sn3+", "Hg1+", 0.3051572979], + ["Hg1+", "Sn3+", 0.3051572979], + ["Sn3+", "Tl1+", 0.3851996114], + ["Tl1+", "Sn3+", 0.3851996114], + ["Sn3+", "Bi1+", 0.0953403531], + ["Bi1+", "Sn3+", 0.0953403531], + ["Sn2+", "Sn2+", 1.0], + ["Sn2+", "Sb5+", 0.4320055537], + ["Sb5+", "Sn2+", 0.4320055537], + ["Sn2+", "Sb2-", 0.0963281616], + ["Sb2-", "Sn2+", 0.0963281616], + ["Sn2+", "Sb3-", -0.0390473207], + ["Sb3-", "Sn2+", -0.0390473207], + ["Sn2+", "Sb3+", 0.4928585789], + ["Sb3+", "Sn2+", 0.4928585789], + ["Sn2+", "Sb4+", 0.1210707047], + ["Sb4+", "Sn2+", 0.1210707047], + ["Sn2+", "Te2-", 0.1904023211], + ["Te2-", "Sn2+", 0.1904023211], + ["Sn2+", "Te4+", 0.4321031134], + ["Te4+", "Sn2+", 0.4321031134], + ["Sn2+", "Te6+", 0.2981610956], + ["Te6+", "Sn2+", 0.2981610956], + ["Sn2+", "Te2+", 0.2672873969], + ["Te2+", "Sn2+", 0.2672873969], + ["Sn2+", "Te5+", 0.2752098009], + ["Te5+", "Sn2+", 0.2752098009], + ["Sn2+", "I3+", 0.1901101542], + ["I3+", "Sn2+", 0.1901101542], + ["Sn2+", "I7+", 0.2487206556], + ["I7+", "Sn2+", 0.2487206556], + ["Sn2+", "I5+", 0.1708450644], + ["I5+", "Sn2+", 0.1708450644], + ["Sn2+", "I2+", 0.2281921338], + ["I2+", "Sn2+", 0.2281921338], + ["Sn2+", "Ba2+", 0.6133574469], + ["Ba2+", "Sn2+", 0.6133574469], + ["Sn2+", "La3+", 0.4318792113], + ["La3+", "Sn2+", 0.4318792113], + ["Sn2+", "La2+", 0.202343022], + ["La2+", "Sn2+", 0.202343022], + ["Sn2+", "Ce3+", 0.442339322], + ["Ce3+", "Sn2+", 0.442339322], + ["Sn2+", "Ce2+", 0.1753633221], + ["Ce2+", "Sn2+", 0.1753633221], + ["Sn2+", "Ce4+", 0.3152579182], + ["Ce4+", "Sn2+", 0.3152579182], + ["Sn2+", "Pr3+", 0.4351955615], + ["Pr3+", "Sn2+", 0.4351955615], + ["Sn2+", "Pr4+", 0.0626216325], + ["Pr4+", "Sn2+", 0.0626216325], + ["Sn2+", "Pr2+", 0.2460213225], + ["Pr2+", "Sn2+", 0.2460213225], + ["Sn2+", "Nd3+", 0.3278230817], + ["Nd3+", "Sn2+", 0.3278230817], + ["Sn2+", "Nd2+", 0.1580159632], + ["Nd2+", "Sn2+", 0.1580159632], + ["Sn2+", "Pm3+", 0.3004743378], + ["Pm3+", "Sn2+", 0.3004743378], + ["Sn2+", "Sm3+", 0.3450751305], + ["Sm3+", "Sn2+", 0.3450751305], + ["Sn2+", "Sm2+", 0.0957390934], + ["Sm2+", "Sn2+", 0.0957390934], + ["Sn2+", "Eu2+", 0.4314303164], + ["Eu2+", "Sn2+", 0.4314303164], + ["Sn2+", "Eu3+", 0.2858603723], + ["Eu3+", "Sn2+", 0.2858603723], + ["Sn2+", "Gd2+", 0.2058368814], + ["Gd2+", "Sn2+", 0.2058368814], + ["Sn2+", "Gd3+", 0.233200541], + ["Gd3+", "Sn2+", 0.233200541], + ["Sn2+", "Tb3+", 0.3973868116], + ["Tb3+", "Sn2+", 0.3973868116], + ["Sn2+", "Tb2+", 0.1387298501], + ["Tb2+", "Sn2+", 0.1387298501], + ["Sn2+", "Tb4+", 0.1006183931], + ["Tb4+", "Sn2+", 0.1006183931], + ["Sn2+", "Dy3+", 0.266459427], + ["Dy3+", "Sn2+", 0.266459427], + ["Sn2+", "Dy2+", 0.1087616116], + ["Dy2+", "Sn2+", 0.1087616116], + ["Sn2+", "Ho3+", 0.1872835079], + ["Ho3+", "Sn2+", 0.1872835079], + ["Sn2+", "Ho2+", 0.1646791045], + ["Ho2+", "Sn2+", 0.1646791045], + ["Sn2+", "Er3+", 0.2699633269], + ["Er3+", "Sn2+", 0.2699633269], + ["Sn2+", "Tm3+", 0.3074019758], + ["Tm3+", "Sn2+", 0.3074019758], + ["Sn2+", "Tm2+", 0.1354567289], + ["Tm2+", "Sn2+", 0.1354567289], + ["Sn2+", "Yb3+", 0.2325706331], + ["Yb3+", "Sn2+", 0.2325706331], + ["Sn2+", "Yb2+", 0.1536314352], + ["Yb2+", "Sn2+", 0.1536314352], + ["Sn2+", "Lu3+", 0.0890983495], + ["Lu3+", "Sn2+", 0.0890983495], + ["Sn2+", "Hf3+", 0.159749924], + ["Hf3+", "Sn2+", 0.159749924], + ["Sn2+", "Hf2+", 0.0460223884], + ["Hf2+", "Sn2+", 0.0460223884], + ["Sn2+", "Hf4+", 0.3115055228], + ["Hf4+", "Sn2+", 0.3115055228], + ["Sn2+", "Ta5+", 0.4635027877], + ["Ta5+", "Sn2+", 0.4635027877], + ["Sn2+", "Ta3+", 0.274011256], + ["Ta3+", "Sn2+", 0.274011256], + ["Sn2+", "Ta4+", 0.3380296296], + ["Ta4+", "Sn2+", 0.3380296296], + ["Sn2+", "Ta2+", 0.1289164151], + ["Ta2+", "Sn2+", 0.1289164151], + ["Sn2+", "W6+", 0.2985181023], + ["W6+", "Sn2+", 0.2985181023], + ["Sn2+", "W4+", 0.3094065574], + ["W4+", "Sn2+", 0.3094065574], + ["Sn2+", "W2+", 0.2645092243], + ["W2+", "Sn2+", 0.2645092243], + ["Sn2+", "W3+", 0.1345181047], + ["W3+", "Sn2+", 0.1345181047], + ["Sn2+", "W5+", 0.3315961475], + ["W5+", "Sn2+", 0.3315961475], + ["Sn2+", "Re5+", 0.2023718397], + ["Re5+", "Sn2+", 0.2023718397], + ["Sn2+", "Re3+", 0.2974999193], + ["Re3+", "Sn2+", 0.2974999193], + ["Sn2+", "Re6+", 0.2640812449], + ["Re6+", "Sn2+", 0.2640812449], + ["Sn2+", "Re2+", 0.0056573987], + ["Re2+", "Sn2+", 0.0056573987], + ["Sn2+", "Re4+", 0.2892167076], + ["Re4+", "Sn2+", 0.2892167076], + ["Sn2+", "Re7+", 0.1598457114], + ["Re7+", "Sn2+", 0.1598457114], + ["Sn2+", "Os7+", 0.144201445], + ["Os7+", "Sn2+", 0.144201445], + ["Sn2+", "Os6+", 0.2072075283], + ["Os6+", "Sn2+", 0.2072075283], + ["Sn2+", "Os5+", 0.3521325576], + ["Os5+", "Sn2+", 0.3521325576], + ["Sn2+", "Os2-", -0.0263119058], + ["Os2-", "Sn2+", -0.0263119058], + ["Sn2+", "Os3+", 0.3065133982], + ["Os3+", "Sn2+", 0.3065133982], + ["Sn2+", "Os4+", 0.3227082365], + ["Os4+", "Sn2+", 0.3227082365], + ["Sn2+", "Os8+", 0.1768667352], + ["Os8+", "Sn2+", 0.1768667352], + ["Sn2+", "Os2+", 0.1247674451], + ["Os2+", "Sn2+", 0.1247674451], + ["Sn2+", "Ir3+", 0.2459471392], + ["Ir3+", "Sn2+", 0.2459471392], + ["Sn2+", "Ir4+", 0.2785319369], + ["Ir4+", "Sn2+", 0.2785319369], + ["Sn2+", "Ir5+", 0.2920074644], + ["Ir5+", "Sn2+", 0.2920074644], + ["Sn2+", "Ir6+", 0.365353672], + ["Ir6+", "Sn2+", 0.365353672], + ["Sn2+", "Pt2+", 0.326461361], + ["Pt2+", "Sn2+", 0.326461361], + ["Sn2+", "Pt2-", 0.0846490197], + ["Pt2-", "Sn2+", 0.0846490197], + ["Sn2+", "Pt4+", 0.4134150938], + ["Pt4+", "Sn2+", 0.4134150938], + ["Sn2+", "Pt3+", 0.0762751341], + ["Pt3+", "Sn2+", 0.0762751341], + ["Sn2+", "Pt5+", 0.3020629036], + ["Pt5+", "Sn2+", 0.3020629036], + ["Sn2+", "Pt6+", 0.2809502626], + ["Pt6+", "Sn2+", 0.2809502626], + ["Sn2+", "Au2+", 0.1957049761], + ["Au2+", "Sn2+", 0.1957049761], + ["Sn2+", "Au3+", 0.4403530086], + ["Au3+", "Sn2+", 0.4403530086], + ["Sn2+", "Au5+", 0.3229134757], + ["Au5+", "Sn2+", 0.3229134757], + ["Sn2+", "Au4+", 0.3885309777], + ["Au4+", "Sn2+", 0.3885309777], + ["Sn2+", "Hg2+", 0.522420352], + ["Hg2+", "Sn2+", 0.522420352], + ["Sn2+", "Tl3+", 0.3415908453], + ["Tl3+", "Sn2+", 0.3415908453], + ["Sn2+", "Tl2+", 0.2547207268], + ["Tl2+", "Sn2+", 0.2547207268], + ["Sn2+", "Pb2+", 0.4863997479], + ["Pb2+", "Sn2+", 0.4863997479], + ["Sn2+", "Pb3+", 0.1961323903], + ["Pb3+", "Sn2+", 0.1961323903], + ["Sn2+", "Pb4+", 0.2807897449], + ["Pb4+", "Sn2+", 0.2807897449], + ["Sn2+", "Bi3+", 0.5152602566], + ["Bi3+", "Sn2+", 0.5152602566], + ["Sn2+", "Bi5+", 0.1703308114], + ["Bi5+", "Sn2+", 0.1703308114], + ["Sn2+", "Bi2+", 0.3123558972], + ["Bi2+", "Sn2+", 0.3123558972], + ["Sn2+", "Bi3-", 0.1513975577], + ["Bi3-", "Sn2+", 0.1513975577], + ["Sn2+", "Bi4+", 0.2199214396], + ["Bi4+", "Sn2+", 0.2199214396], + ["Sn2+", "Ac3+", 0.1886667256], + ["Ac3+", "Sn2+", 0.1886667256], + ["Sn2+", "Th4+", 0.4038501568], + ["Th4+", "Sn2+", 0.4038501568], + ["Sn2+", "Th3+", 0.229587674], + ["Th3+", "Sn2+", 0.229587674], + ["Sn2+", "Pa4+", 0.2152516287], + ["Pa4+", "Sn2+", 0.2152516287], + ["Sn2+", "Pa5+", 0.3543833927], + ["Pa5+", "Sn2+", 0.3543833927], + ["Sn2+", "Pa3+", 0.1768446875], + ["Pa3+", "Sn2+", 0.1768446875], + ["Sn2+", "U6+", 0.1736400619], + ["U6+", "Sn2+", 0.1736400619], + ["Sn2+", "U4+", 0.2254186369], + ["U4+", "Sn2+", 0.2254186369], + ["Sn2+", "U3+", 0.2329849782], + ["U3+", "Sn2+", 0.2329849782], + ["Sn2+", "U2+", 0.2351127864], + ["U2+", "Sn2+", 0.2351127864], + ["Sn2+", "U5+", 0.1474849664], + ["U5+", "Sn2+", 0.1474849664], + ["Sn2+", "Np6+", 0.2271237536], + ["Np6+", "Sn2+", 0.2271237536], + ["Sn2+", "Np4+", 0.1803569595], + ["Np4+", "Sn2+", 0.1803569595], + ["Sn2+", "Np3+", 0.277307663], + ["Np3+", "Sn2+", 0.277307663], + ["Sn2+", "Np7+", 0.2226358947], + ["Np7+", "Sn2+", 0.2226358947], + ["Sn2+", "Np5+", 0.4442669981], + ["Np5+", "Sn2+", 0.4442669981], + ["Sn2+", "Pu7+", 0.1259605092], + ["Pu7+", "Sn2+", 0.1259605092], + ["Sn2+", "Pu6+", 0.0946906756], + ["Pu6+", "Sn2+", 0.0946906756], + ["Sn2+", "Pu3+", 0.2102478285], + ["Pu3+", "Sn2+", 0.2102478285], + ["Sn2+", "Pu4+", 0.1647026823], + ["Pu4+", "Sn2+", 0.1647026823], + ["Sn2+", "Pu5+", 0.2163066175], + ["Pu5+", "Sn2+", 0.2163066175], + ["Sn2+", "H1+", -0.0113698485], + ["H1+", "Sn2+", -0.0113698485], + ["Sn2+", "H1-", -0.1114555518], + ["H1-", "Sn2+", -0.1114555518], + ["Sn2+", "Li1+", 0.3943480729], + ["Li1+", "Sn2+", 0.3943480729], + ["Sn2+", "B1+", 0.0297416643], + ["B1+", "Sn2+", 0.0297416643], + ["Sn2+", "B1-", -0.1709000901], + ["B1-", "Sn2+", -0.1709000901], + ["Sn2+", "C1-", 0.1038827218], + ["C1-", "Sn2+", 0.1038827218], + ["Sn2+", "C1+", 0.3042953276], + ["C1+", "Sn2+", 0.3042953276], + ["Sn2+", "N1-", 0.0923145275], + ["N1-", "Sn2+", 0.0923145275], + ["Sn2+", "N1+", 0.1995574131], + ["N1+", "Sn2+", 0.1995574131], + ["Sn2+", "O1-", 0.043934259], + ["O1-", "Sn2+", 0.043934259], + ["Sn2+", "F1-", 0.1848328518], + ["F1-", "Sn2+", 0.1848328518], + ["Sn2+", "Na1+", 0.4159642863], + ["Na1+", "Sn2+", 0.4159642863], + ["Sn2+", "Si1-", -0.0394028125], + ["Si1-", "Sn2+", -0.0394028125], + ["Sn2+", "P1+", 0.1217401831], + ["P1+", "Sn2+", 0.1217401831], + ["Sn2+", "P1-", 0.1004575688], + ["P1-", "Sn2+", 0.1004575688], + ["Sn2+", "S1-", 0.2617132708], + ["S1-", "Sn2+", 0.2617132708], + ["Sn2+", "S1+", 0.2153525477], + ["S1+", "Sn2+", 0.2153525477], + ["Sn2+", "Cl1-", 0.1025507894], + ["Cl1-", "Sn2+", 0.1025507894], + ["Sn2+", "K1+", 0.5016349495], + ["K1+", "Sn2+", 0.5016349495], + ["Sn2+", "Sc1+", 0.1475312241], + ["Sc1+", "Sn2+", 0.1475312241], + ["Sn2+", "Mn1+", 0.2362290714], + ["Mn1+", "Sn2+", 0.2362290714], + ["Sn2+", "Fe1+", -0.0249178702], + ["Fe1+", "Sn2+", -0.0249178702], + ["Sn2+", "Co1+", 0.042277731], + ["Co1+", "Sn2+", 0.042277731], + ["Sn2+", "Ni1+", 0.1686860161], + ["Ni1+", "Sn2+", 0.1686860161], + ["Sn2+", "Cu1+", 0.2891458333], + ["Cu1+", "Sn2+", 0.2891458333], + ["Sn2+", "Ga1+", 0.2496588943], + ["Ga1+", "Sn2+", 0.2496588943], + ["Sn2+", "As1-", 0.1676754632], + ["As1-", "Sn2+", 0.1676754632], + ["Sn2+", "As1+", 0.2638038417], + ["As1+", "Sn2+", 0.2638038417], + ["Sn2+", "Se1-", 0.1662684051], + ["Se1-", "Sn2+", 0.1662684051], + ["Sn2+", "Se1+", 0.1588921045], + ["Se1+", "Sn2+", 0.1588921045], + ["Sn2+", "Br1-", 0.1383934552], + ["Br1-", "Sn2+", 0.1383934552], + ["Sn2+", "Br1+", 0.0645307272], + ["Br1+", "Sn2+", 0.0645307272], + ["Sn2+", "Rb1+", 0.5150363644], + ["Rb1+", "Sn2+", 0.5150363644], + ["Sn2+", "Y1+", 0.0541781706], + ["Y1+", "Sn2+", 0.0541781706], + ["Sn2+", "Zr1+", 0.0928639457], + ["Zr1+", "Sn2+", 0.0928639457], + ["Sn2+", "Nb1+", 0.2949750789], + ["Nb1+", "Sn2+", 0.2949750789], + ["Sn2+", "Tc1-", 0.0100157541], + ["Tc1-", "Sn2+", 0.0100157541], + ["Sn2+", "Tc1+", 0.3964732095], + ["Tc1+", "Sn2+", 0.3964732095], + ["Sn2+", "Rh1+", 0.1191948209], + ["Rh1+", "Sn2+", 0.1191948209], + ["Sn2+", "Ag1+", 0.4754472876], + ["Ag1+", "Sn2+", 0.4754472876], + ["Sn2+", "In1+", 0.3859940068], + ["In1+", "Sn2+", 0.3859940068], + ["Sn2+", "Sb1-", 0.3079551466], + ["Sb1-", "Sn2+", 0.3079551466], + ["Sn2+", "Sb1+", 0.2915325405], + ["Sb1+", "Sn2+", 0.2915325405], + ["Sn2+", "Te1-", 0.3022534734], + ["Te1-", "Sn2+", 0.3022534734], + ["Sn2+", "Te1+", 0.337659681], + ["Te1+", "Sn2+", 0.337659681], + ["Sn2+", "I1-", 0.1545852479], + ["I1-", "Sn2+", 0.1545852479], + ["Sn2+", "I1+", 0.2021398987], + ["I1+", "Sn2+", 0.2021398987], + ["Sn2+", "Cs1+", 0.5520547732], + ["Cs1+", "Sn2+", 0.5520547732], + ["Sn2+", "La1+", -0.1340463025], + ["La1+", "Sn2+", -0.1340463025], + ["Sn2+", "Tb1+", 0.0858876702], + ["Tb1+", "Sn2+", 0.0858876702], + ["Sn2+", "Ta1+", 0.2479730718], + ["Ta1+", "Sn2+", 0.2479730718], + ["Sn2+", "Os1-", 0.071455151], + ["Os1-", "Sn2+", 0.071455151], + ["Sn2+", "Os1+", 0.1993026759], + ["Os1+", "Sn2+", 0.1993026759], + ["Sn2+", "Pt1-", 0.1757275806], + ["Pt1-", "Sn2+", 0.1757275806], + ["Sn2+", "Pt1+", 0.134415339], + ["Pt1+", "Sn2+", 0.134415339], + ["Sn2+", "Au1-", -0.0535773453], + ["Au1-", "Sn2+", -0.0535773453], + ["Sn2+", "Au1+", 0.2711736745], + ["Au1+", "Sn2+", 0.2711736745], + ["Sn2+", "Hg1+", 0.4369056755], + ["Hg1+", "Sn2+", 0.4369056755], + ["Sn2+", "Tl1+", 0.6075750795], + ["Tl1+", "Sn2+", 0.6075750795], + ["Sn2+", "Bi1+", 0.1450723536], + ["Bi1+", "Sn2+", 0.1450723536], + ["Sb5+", "Sb5+", 1.0], + ["Sb5+", "Sb2-", -0.0786054641], + ["Sb2-", "Sb5+", -0.0786054641], + ["Sb5+", "Sb3-", -0.1774034015], + ["Sb3-", "Sb5+", -0.1774034015], + ["Sb5+", "Sb3+", 0.4928647997], + ["Sb3+", "Sb5+", 0.4928647997], + ["Sb5+", "Sb4+", 0.4416654841], + ["Sb4+", "Sb5+", 0.4416654841], + ["Sb5+", "Te2-", 0.2676689658], + ["Te2-", "Sb5+", 0.2676689658], + ["Sb5+", "Te4+", 0.5807709954], + ["Te4+", "Sb5+", 0.5807709954], + ["Sb5+", "Te6+", 0.5279092721], + ["Te6+", "Sb5+", 0.5279092721], + ["Sb5+", "Te2+", 0.1140605775], + ["Te2+", "Sb5+", 0.1140605775], + ["Sb5+", "Te5+", 0.1602314283], + ["Te5+", "Sb5+", 0.1602314283], + ["Sb5+", "I3+", 0.4888081952], + ["I3+", "Sb5+", 0.4888081952], + ["Sb5+", "I7+", 0.3756065458], + ["I7+", "Sb5+", 0.3756065458], + ["Sb5+", "I5+", 0.5588489469], + ["I5+", "Sb5+", 0.5588489469], + ["Sb5+", "I2+", 0.2902628578], + ["I2+", "Sb5+", 0.2902628578], + ["Sb5+", "Ba2+", 0.483698246], + ["Ba2+", "Sb5+", 0.483698246], + ["Sb5+", "La3+", 0.2157622543], + ["La3+", "Sb5+", 0.2157622543], + ["Sb5+", "La2+", -0.0497214607], + ["La2+", "Sb5+", -0.0497214607], + ["Sb5+", "Ce3+", 0.1336802922], + ["Ce3+", "Sb5+", 0.1336802922], + ["Sb5+", "Ce2+", -0.1897667617], + ["Ce2+", "Sb5+", -0.1897667617], + ["Sb5+", "Ce4+", 0.1302107111], + ["Ce4+", "Sb5+", 0.1302107111], + ["Sb5+", "Pr3+", 0.1859603499], + ["Pr3+", "Sb5+", 0.1859603499], + ["Sb5+", "Pr4+", 0.1703097219], + ["Pr4+", "Sb5+", 0.1703097219], + ["Sb5+", "Pr2+", 0.0669852195], + ["Pr2+", "Sb5+", 0.0669852195], + ["Sb5+", "Nd3+", 0.2618028877], + ["Nd3+", "Sb5+", 0.2618028877], + ["Sb5+", "Nd2+", 0.1050764617], + ["Nd2+", "Sb5+", 0.1050764617], + ["Sb5+", "Pm3+", 0.0945210678], + ["Pm3+", "Sb5+", 0.0945210678], + ["Sb5+", "Sm3+", 0.2028096152], + ["Sm3+", "Sb5+", 0.2028096152], + ["Sb5+", "Sm2+", -0.0136974359], + ["Sm2+", "Sb5+", -0.0136974359], + ["Sb5+", "Eu2+", 0.1397356294], + ["Eu2+", "Sb5+", 0.1397356294], + ["Sb5+", "Eu3+", 0.3947521686], + ["Eu3+", "Sb5+", 0.3947521686], + ["Sb5+", "Gd2+", 0.110777941], + ["Gd2+", "Sb5+", 0.110777941], + ["Sb5+", "Gd3+", 0.3248527957], + ["Gd3+", "Sb5+", 0.3248527957], + ["Sb5+", "Tb3+", 0.1920822563], + ["Tb3+", "Sb5+", 0.1920822563], + ["Sb5+", "Tb2+", -0.0644743703], + ["Tb2+", "Sb5+", -0.0644743703], + ["Sb5+", "Tb4+", 0.1638606944], + ["Tb4+", "Sb5+", 0.1638606944], + ["Sb5+", "Dy3+", 0.1107702188], + ["Dy3+", "Sb5+", 0.1107702188], + ["Sb5+", "Dy2+", -0.0012605378], + ["Dy2+", "Sb5+", -0.0012605378], + ["Sb5+", "Ho3+", 0.2203038026], + ["Ho3+", "Sb5+", 0.2203038026], + ["Sb5+", "Ho2+", 0.1043741077], + ["Ho2+", "Sb5+", 0.1043741077], + ["Sb5+", "Er3+", 0.2697835057], + ["Er3+", "Sb5+", 0.2697835057], + ["Sb5+", "Tm3+", 0.2337166443], + ["Tm3+", "Sb5+", 0.2337166443], + ["Sb5+", "Tm2+", -0.0179326248], + ["Tm2+", "Sb5+", -0.0179326248], + ["Sb5+", "Yb3+", 0.2877440639], + ["Yb3+", "Sb5+", 0.2877440639], + ["Sb5+", "Yb2+", -0.0264828146], + ["Yb2+", "Sb5+", -0.0264828146], + ["Sb5+", "Lu3+", 0.2432196272], + ["Lu3+", "Sb5+", 0.2432196272], + ["Sb5+", "Hf3+", 0.004626071], + ["Hf3+", "Sb5+", 0.004626071], + ["Sb5+", "Hf2+", 0.187945739], + ["Hf2+", "Sb5+", 0.187945739], + ["Sb5+", "Hf4+", 0.3066893354], + ["Hf4+", "Sb5+", 0.3066893354], + ["Sb5+", "Ta5+", 0.462644505], + ["Ta5+", "Sb5+", 0.462644505], + ["Sb5+", "Ta3+", 0.2346593124], + ["Ta3+", "Sb5+", 0.2346593124], + ["Sb5+", "Ta4+", 0.1734065192], + ["Ta4+", "Sb5+", 0.1734065192], + ["Sb5+", "Ta2+", -0.0771810215], + ["Ta2+", "Sb5+", -0.0771810215], + ["Sb5+", "W6+", 0.6204027129], + ["W6+", "Sb5+", 0.6204027129], + ["Sb5+", "W4+", 0.3539341193], + ["W4+", "Sb5+", 0.3539341193], + ["Sb5+", "W2+", 0.192094623], + ["W2+", "Sb5+", 0.192094623], + ["Sb5+", "W3+", 0.3519595991], + ["W3+", "Sb5+", 0.3519595991], + ["Sb5+", "W5+", 0.5886930961], + ["W5+", "Sb5+", 0.5886930961], + ["Sb5+", "Re5+", 0.318590497], + ["Re5+", "Sb5+", 0.318590497], + ["Sb5+", "Re3+", 0.0921249252], + ["Re3+", "Sb5+", 0.0921249252], + ["Sb5+", "Re6+", 0.491092881], + ["Re6+", "Sb5+", 0.491092881], + ["Sb5+", "Re2+", 0.3042106641], + ["Re2+", "Sb5+", 0.3042106641], + ["Sb5+", "Re4+", 0.3049966559], + ["Re4+", "Sb5+", 0.3049966559], + ["Sb5+", "Re7+", 0.5407490499], + ["Re7+", "Sb5+", 0.5407490499], + ["Sb5+", "Os7+", 0.4235095583], + ["Os7+", "Sb5+", 0.4235095583], + ["Sb5+", "Os6+", 0.5616380903], + ["Os6+", "Sb5+", 0.5616380903], + ["Sb5+", "Os5+", 0.2638040708], + ["Os5+", "Sb5+", 0.2638040708], + ["Sb5+", "Os2-", -0.1784007777], + ["Os2-", "Sb5+", -0.1784007777], + ["Sb5+", "Os3+", 0.1884352734], + ["Os3+", "Sb5+", 0.1884352734], + ["Sb5+", "Os4+", 0.261151037], + ["Os4+", "Sb5+", 0.261151037], + ["Sb5+", "Os8+", 0.3625533445], + ["Os8+", "Sb5+", 0.3625533445], + ["Sb5+", "Os2+", 0.2539247289], + ["Os2+", "Sb5+", 0.2539247289], + ["Sb5+", "Ir3+", 0.2928642979], + ["Ir3+", "Sb5+", 0.2928642979], + ["Sb5+", "Ir4+", 0.3088346412], + ["Ir4+", "Sb5+", 0.3088346412], + ["Sb5+", "Ir5+", 0.2786672977], + ["Ir5+", "Sb5+", 0.2786672977], + ["Sb5+", "Ir6+", 0.4812868069], + ["Ir6+", "Sb5+", 0.4812868069], + ["Sb5+", "Pt2+", 0.16699042], + ["Pt2+", "Sb5+", 0.16699042], + ["Sb5+", "Pt2-", -0.2842476982], + ["Pt2-", "Sb5+", -0.2842476982], + ["Sb5+", "Pt4+", 0.4499446359], + ["Pt4+", "Sb5+", 0.4499446359], + ["Sb5+", "Pt3+", 0.1097584911], + ["Pt3+", "Sb5+", 0.1097584911], + ["Sb5+", "Pt5+", 0.1397656527], + ["Pt5+", "Sb5+", 0.1397656527], + ["Sb5+", "Pt6+", 0.4903613569], + ["Pt6+", "Sb5+", 0.4903613569], + ["Sb5+", "Au2+", 0.1725868446], + ["Au2+", "Sb5+", 0.1725868446], + ["Sb5+", "Au3+", 0.4265130221], + ["Au3+", "Sb5+", 0.4265130221], + ["Sb5+", "Au5+", 0.3437728546], + ["Au5+", "Sb5+", 0.3437728546], + ["Sb5+", "Au4+", 0.2880038292], + ["Au4+", "Sb5+", 0.2880038292], + ["Sb5+", "Hg2+", 0.2837191079], + ["Hg2+", "Sb5+", 0.2837191079], + ["Sb5+", "Tl3+", 0.3756044521], + ["Tl3+", "Sb5+", 0.3756044521], + ["Sb5+", "Tl2+", 0.3936070811], + ["Tl2+", "Sb5+", 0.3936070811], + ["Sb5+", "Pb2+", 0.5392610329], + ["Pb2+", "Sb5+", 0.5392610329], + ["Sb5+", "Pb3+", 0.4107517723], + ["Pb3+", "Sb5+", 0.4107517723], + ["Sb5+", "Pb4+", 0.4321006176], + ["Pb4+", "Sb5+", 0.4321006176], + ["Sb5+", "Bi3+", 0.4864810273], + ["Bi3+", "Sb5+", 0.4864810273], + ["Sb5+", "Bi5+", 0.486926], + ["Bi5+", "Sb5+", 0.486926], + ["Sb5+", "Bi2+", 0.2912536156], + ["Bi2+", "Sb5+", 0.2912536156], + ["Sb5+", "Bi3-", -0.0114995189], + ["Bi3-", "Sb5+", -0.0114995189], + ["Sb5+", "Bi4+", 0.3967243582], + ["Bi4+", "Sb5+", 0.3967243582], + ["Sb5+", "Ac3+", 0.2746583924], + ["Ac3+", "Sb5+", 0.2746583924], + ["Sb5+", "Th4+", 0.1756498726], + ["Th4+", "Sb5+", 0.1756498726], + ["Sb5+", "Th3+", 0.1438650039], + ["Th3+", "Sb5+", 0.1438650039], + ["Sb5+", "Pa4+", 0.1919501836], + ["Pa4+", "Sb5+", 0.1919501836], + ["Sb5+", "Pa5+", 0.4943029614], + ["Pa5+", "Sb5+", 0.4943029614], + ["Sb5+", "Pa3+", -0.0068916461], + ["Pa3+", "Sb5+", -0.0068916461], + ["Sb5+", "U6+", 0.3033856536], + ["U6+", "Sb5+", 0.3033856536], + ["Sb5+", "U4+", 0.1625359534], + ["U4+", "Sb5+", 0.1625359534], + ["Sb5+", "U3+", -0.0401548033], + ["U3+", "Sb5+", -0.0401548033], + ["Sb5+", "U2+", -0.0254988099], + ["U2+", "Sb5+", -0.0254988099], + ["Sb5+", "U5+", 0.3636915], + ["U5+", "Sb5+", 0.3636915], + ["Sb5+", "Np6+", 0.2218845669], + ["Np6+", "Sb5+", 0.2218845669], + ["Sb5+", "Np4+", 0.3701740374], + ["Np4+", "Sb5+", 0.3701740374], + ["Sb5+", "Np3+", 0.0163686544], + ["Np3+", "Sb5+", 0.0163686544], + ["Sb5+", "Np7+", 0.3674223905], + ["Np7+", "Sb5+", 0.3674223905], + ["Sb5+", "Np5+", 0.3689716409], + ["Np5+", "Sb5+", 0.3689716409], + ["Sb5+", "Pu7+", 0.3729447319], + ["Pu7+", "Sb5+", 0.3729447319], + ["Sb5+", "Pu6+", 0.227100682], + ["Pu6+", "Sb5+", 0.227100682], + ["Sb5+", "Pu3+", 0.2600603062], + ["Pu3+", "Sb5+", 0.2600603062], + ["Sb5+", "Pu4+", 0.3628266006], + ["Pu4+", "Sb5+", 0.3628266006], + ["Sb5+", "Pu5+", 0.2359768358], + ["Pu5+", "Sb5+", 0.2359768358], + ["Sb5+", "H1+", 0.5189083248], + ["H1+", "Sb5+", 0.5189083248], + ["Sb5+", "H1-", 0.114899402], + ["H1-", "Sb5+", 0.114899402], + ["Sb5+", "Li1+", 0.5822158667], + ["Li1+", "Sb5+", 0.5822158667], + ["Sb5+", "B1+", 0.2949474215], + ["B1+", "Sb5+", 0.2949474215], + ["Sb5+", "B1-", -0.0117439073], + ["B1-", "Sb5+", -0.0117439073], + ["Sb5+", "C1-", 0.2460373538], + ["C1-", "Sb5+", 0.2460373538], + ["Sb5+", "C1+", 0.5414594237], + ["C1+", "Sb5+", 0.5414594237], + ["Sb5+", "N1-", 0.3039802333], + ["N1-", "Sb5+", 0.3039802333], + ["Sb5+", "N1+", 0.4474912481], + ["N1+", "Sb5+", 0.4474912481], + ["Sb5+", "O1-", 0.1587574521], + ["O1-", "Sb5+", 0.1587574521], + ["Sb5+", "F1-", 0.1461172233], + ["F1-", "Sb5+", 0.1461172233], + ["Sb5+", "Na1+", 0.5199291351], + ["Na1+", "Sb5+", 0.5199291351], + ["Sb5+", "Si1-", -0.0159112889], + ["Si1-", "Sb5+", -0.0159112889], + ["Sb5+", "P1+", -0.03009841], + ["P1+", "Sb5+", -0.03009841], + ["Sb5+", "P1-", -0.0319085091], + ["P1-", "Sb5+", -0.0319085091], + ["Sb5+", "S1-", 0.207695466], + ["S1-", "Sb5+", 0.207695466], + ["Sb5+", "S1+", 0.3342155164], + ["S1+", "Sb5+", 0.3342155164], + ["Sb5+", "Cl1-", 0.2058960125], + ["Cl1-", "Sb5+", 0.2058960125], + ["Sb5+", "K1+", 0.5458447747], + ["K1+", "Sb5+", 0.5458447747], + ["Sb5+", "Sc1+", 0.1171929084], + ["Sc1+", "Sb5+", 0.1171929084], + ["Sb5+", "Mn1+", 0.0917482558], + ["Mn1+", "Sb5+", 0.0917482558], + ["Sb5+", "Fe1+", -0.1402947662], + ["Fe1+", "Sb5+", -0.1402947662], + ["Sb5+", "Co1+", -0.1011772342], + ["Co1+", "Sb5+", -0.1011772342], + ["Sb5+", "Ni1+", -0.0767769225], + ["Ni1+", "Sb5+", -0.0767769225], + ["Sb5+", "Cu1+", 0.0155904938], + ["Cu1+", "Sb5+", 0.0155904938], + ["Sb5+", "Ga1+", 0.0909168421], + ["Ga1+", "Sb5+", 0.0909168421], + ["Sb5+", "As1-", -0.0903179615], + ["As1-", "Sb5+", -0.0903179615], + ["Sb5+", "As1+", 0.1235900824], + ["As1+", "Sb5+", 0.1235900824], + ["Sb5+", "Se1-", 0.0892507176], + ["Se1-", "Sb5+", 0.0892507176], + ["Sb5+", "Se1+", 0.3620336205], + ["Se1+", "Sb5+", 0.3620336205], + ["Sb5+", "Br1-", 0.1563276748], + ["Br1-", "Sb5+", 0.1563276748], + ["Sb5+", "Br1+", 0.4373531826], + ["Br1+", "Sb5+", 0.4373531826], + ["Sb5+", "Rb1+", 0.5485282086], + ["Rb1+", "Sb5+", 0.5485282086], + ["Sb5+", "Y1+", 0.0688492077], + ["Y1+", "Sb5+", 0.0688492077], + ["Sb5+", "Zr1+", -0.1430199138], + ["Zr1+", "Sb5+", -0.1430199138], + ["Sb5+", "Nb1+", 0.0449450815], + ["Nb1+", "Sb5+", 0.0449450815], + ["Sb5+", "Tc1-", -0.0170520364], + ["Tc1-", "Sb5+", -0.0170520364], + ["Sb5+", "Tc1+", 0.1528045116], + ["Tc1+", "Sb5+", 0.1528045116], + ["Sb5+", "Rh1+", -0.1217505548], + ["Rh1+", "Sb5+", -0.1217505548], + ["Sb5+", "Ag1+", 0.2330924782], + ["Ag1+", "Sb5+", 0.2330924782], + ["Sb5+", "In1+", 0.1516421484], + ["In1+", "Sb5+", 0.1516421484], + ["Sb5+", "Sb1-", -0.0486897169], + ["Sb1-", "Sb5+", -0.0486897169], + ["Sb5+", "Sb1+", 0.271337684], + ["Sb1+", "Sb5+", 0.271337684], + ["Sb5+", "Te1-", 0.2458043457], + ["Te1-", "Sb5+", 0.2458043457], + ["Sb5+", "Te1+", 0.282894161], + ["Te1+", "Sb5+", 0.282894161], + ["Sb5+", "I1-", 0.0097107595], + ["I1-", "Sb5+", 0.0097107595], + ["Sb5+", "I1+", 0.5337314637], + ["I1+", "Sb5+", 0.5337314637], + ["Sb5+", "Cs1+", 0.5318982328], + ["Cs1+", "Sb5+", 0.5318982328], + ["Sb5+", "La1+", -0.0551625735], + ["La1+", "Sb5+", -0.0551625735], + ["Sb5+", "Tb1+", -0.0720871056], + ["Tb1+", "Sb5+", -0.0720871056], + ["Sb5+", "Ta1+", -0.1472450137], + ["Ta1+", "Sb5+", -0.1472450137], + ["Sb5+", "Os1-", -0.0862791454], + ["Os1-", "Sb5+", -0.0862791454], + ["Sb5+", "Os1+", 0.3486880725], + ["Os1+", "Sb5+", 0.3486880725], + ["Sb5+", "Pt1-", -0.3230610137], + ["Pt1-", "Sb5+", -0.3230610137], + ["Sb5+", "Pt1+", 0.1913220904], + ["Pt1+", "Sb5+", 0.1913220904], + ["Sb5+", "Au1-", -0.0073754144], + ["Au1-", "Sb5+", -0.0073754144], + ["Sb5+", "Au1+", 0.2365428988], + ["Au1+", "Sb5+", 0.2365428988], + ["Sb5+", "Hg1+", 0.4656508939], + ["Hg1+", "Sb5+", 0.4656508939], + ["Sb5+", "Tl1+", 0.504835697], + ["Tl1+", "Sb5+", 0.504835697], + ["Sb5+", "Bi1+", 0.0584458809], + ["Bi1+", "Sb5+", 0.0584458809], + ["Sb2-", "Sb2-", 1.0], + ["Sb2-", "Sb3-", 0.6744482021], + ["Sb3-", "Sb2-", 0.6744482021], + ["Sb2-", "Sb3+", -0.2529392009], + ["Sb3+", "Sb2-", -0.2529392009], + ["Sb2-", "Sb4+", 0.0398435355], + ["Sb4+", "Sb2-", 0.0398435355], + ["Sb2-", "Te2-", 0.2017688931], + ["Te2-", "Sb2-", 0.2017688931], + ["Sb2-", "Te4+", -0.0900596872], + ["Te4+", "Sb2-", -0.0900596872], + ["Sb2-", "Te6+", 0.0457529549], + ["Te6+", "Sb2-", 0.0457529549], + ["Sb2-", "Te2+", -0.0532800698], + ["Te2+", "Sb2-", -0.0532800698], + ["Sb2-", "Te5+", 0.0106240892], + ["Te5+", "Sb2-", 0.0106240892], + ["Sb2-", "I3+", -0.0594923968], + ["I3+", "Sb2-", -0.0594923968], + ["Sb2-", "I7+", 0.1542976612], + ["I7+", "Sb2-", 0.1542976612], + ["Sb2-", "I5+", 0.0048361548], + ["I5+", "Sb2-", 0.0048361548], + ["Sb2-", "I2+", 0.1481976803], + ["I2+", "Sb2-", 0.1481976803], + ["Sb2-", "Ba2+", 0.0092231497], + ["Ba2+", "Sb2-", 0.0092231497], + ["Sb2-", "La3+", -0.0280730048], + ["La3+", "Sb2-", -0.0280730048], + ["Sb2-", "La2+", -0.0189355664], + ["La2+", "Sb2-", -0.0189355664], + ["Sb2-", "Ce3+", 0.0231564952], + ["Ce3+", "Sb2-", 0.0231564952], + ["Sb2-", "Ce2+", -0.0231043716], + ["Ce2+", "Sb2-", -0.0231043716], + ["Sb2-", "Ce4+", 0.1047651039], + ["Ce4+", "Sb2-", 0.1047651039], + ["Sb2-", "Pr3+", -0.028194773], + ["Pr3+", "Sb2-", -0.028194773], + ["Sb2-", "Pr4+", -0.1948423358], + ["Pr4+", "Sb2-", -0.1948423358], + ["Sb2-", "Pr2+", -0.1584732101], + ["Pr2+", "Sb2-", -0.1584732101], + ["Sb2-", "Nd3+", -0.0343990352], + ["Nd3+", "Sb2-", -0.0343990352], + ["Sb2-", "Nd2+", -0.0720753946], + ["Nd2+", "Sb2-", -0.0720753946], + ["Sb2-", "Pm3+", -0.0957105775], + ["Pm3+", "Sb2-", -0.0957105775], + ["Sb2-", "Sm3+", -0.0749460742], + ["Sm3+", "Sb2-", -0.0749460742], + ["Sb2-", "Sm2+", 0.0259600293], + ["Sm2+", "Sb2-", 0.0259600293], + ["Sb2-", "Eu2+", 0.0230048927], + ["Eu2+", "Sb2-", 0.0230048927], + ["Sb2-", "Eu3+", 0.0541974069], + ["Eu3+", "Sb2-", 0.0541974069], + ["Sb2-", "Gd2+", -0.1405540356], + ["Gd2+", "Sb2-", -0.1405540356], + ["Sb2-", "Gd3+", -0.2389453114], + ["Gd3+", "Sb2-", -0.2389453114], + ["Sb2-", "Tb3+", -0.1189406039], + ["Tb3+", "Sb2-", -0.1189406039], + ["Sb2-", "Tb2+", 0.0091968899], + ["Tb2+", "Sb2-", 0.0091968899], + ["Sb2-", "Tb4+", -0.1032303872], + ["Tb4+", "Sb2-", -0.1032303872], + ["Sb2-", "Dy3+", -0.1288053112], + ["Dy3+", "Sb2-", -0.1288053112], + ["Sb2-", "Dy2+", -0.1169123784], + ["Dy2+", "Sb2-", -0.1169123784], + ["Sb2-", "Ho3+", -0.2699690967], + ["Ho3+", "Sb2-", -0.2699690967], + ["Sb2-", "Ho2+", -0.1178797216], + ["Ho2+", "Sb2-", -0.1178797216], + ["Sb2-", "Er3+", -0.2471576724], + ["Er3+", "Sb2-", -0.2471576724], + ["Sb2-", "Tm3+", -0.127509218], + ["Tm3+", "Sb2-", -0.127509218], + ["Sb2-", "Tm2+", -0.1683602473], + ["Tm2+", "Sb2-", -0.1683602473], + ["Sb2-", "Yb3+", 0.0303609522], + ["Yb3+", "Sb2-", 0.0303609522], + ["Sb2-", "Yb2+", -0.070988579], + ["Yb2+", "Sb2-", -0.070988579], + ["Sb2-", "Lu3+", -0.2517011856], + ["Lu3+", "Sb2-", -0.2517011856], + ["Sb2-", "Hf3+", -0.0833147612], + ["Hf3+", "Sb2-", -0.0833147612], + ["Sb2-", "Hf2+", -0.0589466199], + ["Hf2+", "Sb2-", -0.0589466199], + ["Sb2-", "Hf4+", 0.1199431605], + ["Hf4+", "Sb2-", 0.1199431605], + ["Sb2-", "Ta5+", -0.1759711568], + ["Ta5+", "Sb2-", -0.1759711568], + ["Sb2-", "Ta3+", -0.1351417808], + ["Ta3+", "Sb2-", -0.1351417808], + ["Sb2-", "Ta4+", -0.1959987199], + ["Ta4+", "Sb2-", -0.1959987199], + ["Sb2-", "Ta2+", -0.3303656988], + ["Ta2+", "Sb2-", -0.3303656988], + ["Sb2-", "W6+", -0.061115135], + ["W6+", "Sb2-", -0.061115135], + ["Sb2-", "W4+", -0.2914599839], + ["W4+", "Sb2-", -0.2914599839], + ["Sb2-", "W2+", -0.3471172147], + ["W2+", "Sb2-", -0.3471172147], + ["Sb2-", "W3+", -0.3002930659], + ["W3+", "Sb2-", -0.3002930659], + ["Sb2-", "W5+", -0.1215272596], + ["W5+", "Sb2-", -0.1215272596], + ["Sb2-", "Re5+", -0.1991765856], + ["Re5+", "Sb2-", -0.1991765856], + ["Sb2-", "Re3+", -0.3517118624], + ["Re3+", "Sb2-", -0.3517118624], + ["Sb2-", "Re6+", -0.0332122936], + ["Re6+", "Sb2-", -0.0332122936], + ["Sb2-", "Re2+", -0.2057904994], + ["Re2+", "Sb2-", -0.2057904994], + ["Sb2-", "Re4+", -0.290163447], + ["Re4+", "Sb2-", -0.290163447], + ["Sb2-", "Re7+", -0.1755632497], + ["Re7+", "Sb2-", -0.1755632497], + ["Sb2-", "Os7+", 0.0246625438], + ["Os7+", "Sb2-", 0.0246625438], + ["Sb2-", "Os6+", 0.0097060925], + ["Os6+", "Sb2-", 0.0097060925], + ["Sb2-", "Os5+", -0.0666832403], + ["Os5+", "Sb2-", -0.0666832403], + ["Sb2-", "Os2-", -0.1617774237], + ["Os2-", "Sb2-", -0.1617774237], + ["Sb2-", "Os3+", -0.0941596053], + ["Os3+", "Sb2-", -0.0941596053], + ["Sb2-", "Os4+", -0.1986956391], + ["Os4+", "Sb2-", -0.1986956391], + ["Sb2-", "Os8+", 0.0354491221], + ["Os8+", "Sb2-", 0.0354491221], + ["Sb2-", "Os2+", -0.1889564882], + ["Os2+", "Sb2-", -0.1889564882], + ["Sb2-", "Ir3+", -0.1775136606], + ["Ir3+", "Sb2-", -0.1775136606], + ["Sb2-", "Ir4+", -0.0379483464], + ["Ir4+", "Sb2-", -0.0379483464], + ["Sb2-", "Ir5+", -0.0881379505], + ["Ir5+", "Sb2-", -0.0881379505], + ["Sb2-", "Ir6+", 0.0133104557], + ["Ir6+", "Sb2-", 0.0133104557], + ["Sb2-", "Pt2+", -0.0634303605], + ["Pt2+", "Sb2-", -0.0634303605], + ["Sb2-", "Pt2-", 0.0137393619], + ["Pt2-", "Sb2-", 0.0137393619], + ["Sb2-", "Pt4+", -0.1301202418], + ["Pt4+", "Sb2-", -0.1301202418], + ["Sb2-", "Pt3+", -0.0777109644], + ["Pt3+", "Sb2-", -0.0777109644], + ["Sb2-", "Pt5+", 0.0543695535], + ["Pt5+", "Sb2-", 0.0543695535], + ["Sb2-", "Pt6+", 0.0298864238], + ["Pt6+", "Sb2-", 0.0298864238], + ["Sb2-", "Au2+", 0.0848687123], + ["Au2+", "Sb2-", 0.0848687123], + ["Sb2-", "Au3+", -0.1380560343], + ["Au3+", "Sb2-", -0.1380560343], + ["Sb2-", "Au5+", -0.2582231432], + ["Au5+", "Sb2-", -0.2582231432], + ["Sb2-", "Au4+", 0.0174734956], + ["Au4+", "Sb2-", 0.0174734956], + ["Sb2-", "Hg2+", 0.0363652717], + ["Hg2+", "Sb2-", 0.0363652717], + ["Sb2-", "Tl3+", 0.0152973561], + ["Tl3+", "Sb2-", 0.0152973561], + ["Sb2-", "Tl2+", -0.1008703756], + ["Tl2+", "Sb2-", -0.1008703756], + ["Sb2-", "Pb2+", -0.0115631516], + ["Pb2+", "Sb2-", -0.0115631516], + ["Sb2-", "Pb3+", 0.057950362], + ["Pb3+", "Sb2-", 0.057950362], + ["Sb2-", "Pb4+", -0.0528687687], + ["Pb4+", "Sb2-", -0.0528687687], + ["Sb2-", "Bi3+", -0.1219880766], + ["Bi3+", "Sb2-", -0.1219880766], + ["Sb2-", "Bi5+", -0.0485591578], + ["Bi5+", "Sb2-", -0.0485591578], + ["Sb2-", "Bi2+", -0.0252849572], + ["Bi2+", "Sb2-", -0.0252849572], + ["Sb2-", "Bi3-", 0.433024096], + ["Bi3-", "Sb2-", 0.433024096], + ["Sb2-", "Bi4+", 0.0706145858], + ["Bi4+", "Sb2-", 0.0706145858], + ["Sb2-", "Ac3+", -0.0603053969], + ["Ac3+", "Sb2-", -0.0603053969], + ["Sb2-", "Th4+", 0.057398224], + ["Th4+", "Sb2-", 0.057398224], + ["Sb2-", "Th3+", -0.0273519449], + ["Th3+", "Sb2-", -0.0273519449], + ["Sb2-", "Pa4+", -0.0487547611], + ["Pa4+", "Sb2-", -0.0487547611], + ["Sb2-", "Pa5+", -0.0155245779], + ["Pa5+", "Sb2-", -0.0155245779], + ["Sb2-", "Pa3+", -0.2105375265], + ["Pa3+", "Sb2-", -0.2105375265], + ["Sb2-", "U6+", 0.0210414331], + ["U6+", "Sb2-", 0.0210414331], + ["Sb2-", "U4+", -0.1026610101], + ["U4+", "Sb2-", -0.1026610101], + ["Sb2-", "U3+", -0.1433347984], + ["U3+", "Sb2-", -0.1433347984], + ["Sb2-", "U2+", -0.03849118], + ["U2+", "Sb2-", -0.03849118], + ["Sb2-", "U5+", -0.0412335265], + ["U5+", "Sb2-", -0.0412335265], + ["Sb2-", "Np6+", 0.0514830476], + ["Np6+", "Sb2-", 0.0514830476], + ["Sb2-", "Np4+", -0.0387762446], + ["Np4+", "Sb2-", -0.0387762446], + ["Sb2-", "Np3+", -0.1713720808], + ["Np3+", "Sb2-", -0.1713720808], + ["Sb2-", "Np7+", 0.0129560726], + ["Np7+", "Sb2-", 0.0129560726], + ["Sb2-", "Np5+", -0.1161086792], + ["Np5+", "Sb2-", -0.1161086792], + ["Sb2-", "Pu7+", 0.0810556828], + ["Pu7+", "Sb2-", 0.0810556828], + ["Sb2-", "Pu6+", -0.0801294549], + ["Pu6+", "Sb2-", -0.0801294549], + ["Sb2-", "Pu3+", -0.273967294], + ["Pu3+", "Sb2-", -0.273967294], + ["Sb2-", "Pu4+", -0.041583305], + ["Pu4+", "Sb2-", -0.041583305], + ["Sb2-", "Pu5+", -0.1014542875], + ["Pu5+", "Sb2-", -0.1014542875], + ["Sb2-", "H1+", -0.0563190129], + ["H1+", "Sb2-", -0.0563190129], + ["Sb2-", "H1-", -0.045559703], + ["H1-", "Sb2-", -0.045559703], + ["Sb2-", "Li1+", 0.1074651951], + ["Li1+", "Sb2-", 0.1074651951], + ["Sb2-", "B1+", -0.2778086446], + ["B1+", "Sb2-", -0.2778086446], + ["Sb2-", "B1-", 0.0691928668], + ["B1-", "Sb2-", 0.0691928668], + ["Sb2-", "C1-", -0.0960432894], + ["C1-", "Sb2-", -0.0960432894], + ["Sb2-", "C1+", -0.10243766], + ["C1+", "Sb2-", -0.10243766], + ["Sb2-", "N1-", 0.0668479186], + ["N1-", "Sb2-", 0.0668479186], + ["Sb2-", "N1+", -0.0215987035], + ["N1+", "Sb2-", -0.0215987035], + ["Sb2-", "O1-", 0.1898800101], + ["O1-", "Sb2-", 0.1898800101], + ["Sb2-", "F1-", 0.2134606088], + ["F1-", "Sb2-", 0.2134606088], + ["Sb2-", "Na1+", 0.0683648044], + ["Na1+", "Sb2-", 0.0683648044], + ["Sb2-", "Si1-", 0.104785591], + ["Si1-", "Sb2-", 0.104785591], + ["Sb2-", "P1+", -0.0981772523], + ["P1+", "Sb2-", -0.0981772523], + ["Sb2-", "P1-", 0.2447258772], + ["P1-", "Sb2-", 0.2447258772], + ["Sb2-", "S1-", 0.1227532839], + ["S1-", "Sb2-", 0.1227532839], + ["Sb2-", "S1+", -0.0041768515], + ["S1+", "Sb2-", -0.0041768515], + ["Sb2-", "Cl1-", 0.1268579432], + ["Cl1-", "Sb2-", 0.1268579432], + ["Sb2-", "K1+", 0.0397855781], + ["K1+", "Sb2-", 0.0397855781], + ["Sb2-", "Sc1+", 0.0041425578], + ["Sc1+", "Sb2-", 0.0041425578], + ["Sb2-", "Mn1+", 0.1061664791], + ["Mn1+", "Sb2-", 0.1061664791], + ["Sb2-", "Fe1+", -0.3725651233], + ["Fe1+", "Sb2-", -0.3725651233], + ["Sb2-", "Co1+", -0.2882089045], + ["Co1+", "Sb2-", -0.2882089045], + ["Sb2-", "Ni1+", -0.3073116647], + ["Ni1+", "Sb2-", -0.3073116647], + ["Sb2-", "Cu1+", -0.0784829137], + ["Cu1+", "Sb2-", -0.0784829137], + ["Sb2-", "Ga1+", -0.1245271308], + ["Ga1+", "Sb2-", -0.1245271308], + ["Sb2-", "As1-", 0.2095554558], + ["As1-", "Sb2-", 0.2095554558], + ["Sb2-", "As1+", -0.0474343057], + ["As1+", "Sb2-", -0.0474343057], + ["Sb2-", "Se1-", 0.1474341779], + ["Se1-", "Sb2-", 0.1474341779], + ["Sb2-", "Se1+", 0.0538950652], + ["Se1+", "Sb2-", 0.0538950652], + ["Sb2-", "Br1-", 0.2826272989], + ["Br1-", "Sb2-", 0.2826272989], + ["Sb2-", "Br1+", -0.0885489412], + ["Br1+", "Sb2-", -0.0885489412], + ["Sb2-", "Rb1+", -0.0017784383], + ["Rb1+", "Sb2-", -0.0017784383], + ["Sb2-", "Y1+", 0.084207918], + ["Y1+", "Sb2-", 0.084207918], + ["Sb2-", "Zr1+", -0.1257862304], + ["Zr1+", "Sb2-", -0.1257862304], + ["Sb2-", "Nb1+", -0.2356989768], + ["Nb1+", "Sb2-", -0.2356989768], + ["Sb2-", "Tc1-", 0.1652456377], + ["Tc1-", "Sb2-", 0.1652456377], + ["Sb2-", "Tc1+", -0.067152408], + ["Tc1+", "Sb2-", -0.067152408], + ["Sb2-", "Rh1+", -0.0821595029], + ["Rh1+", "Sb2-", -0.0821595029], + ["Sb2-", "Ag1+", -0.0019261105], + ["Ag1+", "Sb2-", -0.0019261105], + ["Sb2-", "In1+", 0.0553954132], + ["In1+", "Sb2-", 0.0553954132], + ["Sb2-", "Sb1-", 0.498948285], + ["Sb1-", "Sb2-", 0.498948285], + ["Sb2-", "Sb1+", 0.0230543329], + ["Sb1+", "Sb2-", 0.0230543329], + ["Sb2-", "Te1-", 0.1993182004], + ["Te1-", "Sb2-", 0.1993182004], + ["Sb2-", "Te1+", -0.0186769576], + ["Te1+", "Sb2-", -0.0186769576], + ["Sb2-", "I1-", 0.2110739587], + ["I1-", "Sb2-", 0.2110739587], + ["Sb2-", "I1+", 0.0274846489], + ["I1+", "Sb2-", 0.0274846489], + ["Sb2-", "Cs1+", -0.103684067], + ["Cs1+", "Sb2-", -0.103684067], + ["Sb2-", "La1+", -0.0375884165], + ["La1+", "Sb2-", -0.0375884165], + ["Sb2-", "Tb1+", 0.0168718095], + ["Tb1+", "Sb2-", 0.0168718095], + ["Sb2-", "Ta1+", -0.2308655436], + ["Ta1+", "Sb2-", -0.2308655436], + ["Sb2-", "Os1-", -0.2451506514], + ["Os1-", "Sb2-", -0.2451506514], + ["Sb2-", "Os1+", -0.0196765906], + ["Os1+", "Sb2-", -0.0196765906], + ["Sb2-", "Pt1-", 0.1906218008], + ["Pt1-", "Sb2-", 0.1906218008], + ["Sb2-", "Pt1+", -0.2256212094], + ["Pt1+", "Sb2-", -0.2256212094], + ["Sb2-", "Au1-", 0.1578064734], + ["Au1-", "Sb2-", 0.1578064734], + ["Sb2-", "Au1+", -0.0528281186], + ["Au1+", "Sb2-", -0.0528281186], + ["Sb2-", "Hg1+", 0.1251374218], + ["Hg1+", "Sb2-", 0.1251374218], + ["Sb2-", "Tl1+", -0.001216182], + ["Tl1+", "Sb2-", -0.001216182], + ["Sb2-", "Bi1+", -0.1330661555], + ["Bi1+", "Sb2-", -0.1330661555], + ["Sb3-", "Sb3-", 1.0], + ["Sb3-", "Sb3+", -0.247116496], + ["Sb3+", "Sb3-", -0.247116496], + ["Sb3-", "Sb4+", -0.1352717742], + ["Sb4+", "Sb3-", -0.1352717742], + ["Sb3-", "Te2-", 0.3592360359], + ["Te2-", "Sb3-", 0.3592360359], + ["Sb3-", "Te4+", -0.1943762467], + ["Te4+", "Sb3-", -0.1943762467], + ["Sb3-", "Te6+", -0.190863754], + ["Te6+", "Sb3-", -0.190863754], + ["Sb3-", "Te2+", -0.0090327973], + ["Te2+", "Sb3-", -0.0090327973], + ["Sb3-", "Te5+", -0.1061432234], + ["Te5+", "Sb3-", -0.1061432234], + ["Sb3-", "I3+", -0.0724403341], + ["I3+", "Sb3-", -0.0724403341], + ["Sb3-", "I7+", -0.0188648531], + ["I7+", "Sb3-", -0.0188648531], + ["Sb3-", "I5+", -0.0535612167], + ["I5+", "Sb3-", -0.0535612167], + ["Sb3-", "I2+", 0.1052198542], + ["I2+", "Sb3-", 0.1052198542], + ["Sb3-", "Ba2+", -0.0204033776], + ["Ba2+", "Sb3-", -0.0204033776], + ["Sb3-", "La3+", -0.0687775361], + ["La3+", "Sb3-", -0.0687775361], + ["Sb3-", "La2+", 0.0656856941], + ["La2+", "Sb3-", 0.0656856941], + ["Sb3-", "Ce3+", 0.0469207975], + ["Ce3+", "Sb3-", 0.0469207975], + ["Sb3-", "Ce2+", 0.1290689217], + ["Ce2+", "Sb3-", 0.1290689217], + ["Sb3-", "Ce4+", -0.016483901], + ["Ce4+", "Sb3-", -0.016483901], + ["Sb3-", "Pr3+", -0.081451795], + ["Pr3+", "Sb3-", -0.081451795], + ["Sb3-", "Pr4+", -0.221206469], + ["Pr4+", "Sb3-", -0.221206469], + ["Sb3-", "Pr2+", -0.2078660244], + ["Pr2+", "Sb3-", -0.2078660244], + ["Sb3-", "Nd3+", -0.0955790988], + ["Nd3+", "Sb3-", -0.0955790988], + ["Sb3-", "Nd2+", 0.0058890215], + ["Nd2+", "Sb3-", 0.0058890215], + ["Sb3-", "Pm3+", -0.0436791558], + ["Pm3+", "Sb3-", -0.0436791558], + ["Sb3-", "Sm3+", -0.0632420554], + ["Sm3+", "Sb3-", -0.0632420554], + ["Sb3-", "Sm2+", 0.1557467602], + ["Sm2+", "Sb3-", 0.1557467602], + ["Sb3-", "Eu2+", 0.1240143581], + ["Eu2+", "Sb3-", 0.1240143581], + ["Sb3-", "Eu3+", -0.0086576112], + ["Eu3+", "Sb3-", -0.0086576112], + ["Sb3-", "Gd2+", -0.1085506164], + ["Gd2+", "Sb3-", -0.1085506164], + ["Sb3-", "Gd3+", -0.2082533953], + ["Gd3+", "Sb3-", -0.2082533953], + ["Sb3-", "Tb3+", -0.1814722864], + ["Tb3+", "Sb3-", -0.1814722864], + ["Sb3-", "Tb2+", 0.0112027035], + ["Tb2+", "Sb3-", 0.0112027035], + ["Sb3-", "Tb4+", -0.1381902692], + ["Tb4+", "Sb3-", -0.1381902692], + ["Sb3-", "Dy3+", -0.1263891348], + ["Dy3+", "Sb3-", -0.1263891348], + ["Sb3-", "Dy2+", -0.0006328578], + ["Dy2+", "Sb3-", -0.0006328578], + ["Sb3-", "Ho3+", -0.1757064973], + ["Ho3+", "Sb3-", -0.1757064973], + ["Sb3-", "Ho2+", 0.0453882576], + ["Ho2+", "Sb3-", 0.0453882576], + ["Sb3-", "Er3+", -0.1827551091], + ["Er3+", "Sb3-", -0.1827551091], + ["Sb3-", "Tm3+", -0.1188604769], + ["Tm3+", "Sb3-", -0.1188604769], + ["Sb3-", "Tm2+", 0.0077516508], + ["Tm2+", "Sb3-", 0.0077516508], + ["Sb3-", "Yb3+", 0.0742721223], + ["Yb3+", "Sb3-", 0.0742721223], + ["Sb3-", "Yb2+", 0.1294135706], + ["Yb2+", "Sb3-", 0.1294135706], + ["Sb3-", "Lu3+", -0.2220048015], + ["Lu3+", "Sb3-", -0.2220048015], + ["Sb3-", "Hf3+", 0.0304830953], + ["Hf3+", "Sb3-", 0.0304830953], + ["Sb3-", "Hf2+", 0.1309245484], + ["Hf2+", "Sb3-", 0.1309245484], + ["Sb3-", "Hf4+", -0.0081549056], + ["Hf4+", "Sb3-", -0.0081549056], + ["Sb3-", "Ta5+", -0.2252036365], + ["Ta5+", "Sb3-", -0.2252036365], + ["Sb3-", "Ta3+", -0.1483745239], + ["Ta3+", "Sb3-", -0.1483745239], + ["Sb3-", "Ta4+", -0.086210136], + ["Ta4+", "Sb3-", -0.086210136], + ["Sb3-", "Ta2+", -0.1466039018], + ["Ta2+", "Sb3-", -0.1466039018], + ["Sb3-", "W6+", -0.1353195002], + ["W6+", "Sb3-", -0.1353195002], + ["Sb3-", "W4+", -0.2661042564], + ["W4+", "Sb3-", -0.2661042564], + ["Sb3-", "W2+", -0.2492350893], + ["W2+", "Sb3-", -0.2492350893], + ["Sb3-", "W3+", -0.2191490513], + ["W3+", "Sb3-", -0.2191490513], + ["Sb3-", "W5+", -0.2323639696], + ["W5+", "Sb3-", -0.2323639696], + ["Sb3-", "Re5+", -0.0590778987], + ["Re5+", "Sb3-", -0.0590778987], + ["Sb3-", "Re3+", -0.283232211], + ["Re3+", "Sb3-", -0.283232211], + ["Sb3-", "Re6+", 0.00002754], + ["Re6+", "Sb3-", 0.00002754], + ["Sb3-", "Re2+", -0.0663802474], + ["Re2+", "Sb3-", -0.0663802474], + ["Sb3-", "Re4+", -0.1690175553], + ["Re4+", "Sb3-", -0.1690175553], + ["Sb3-", "Re7+", -0.0978151464], + ["Re7+", "Sb3-", -0.0978151464], + ["Sb3-", "Os7+", 0.0156242064], + ["Os7+", "Sb3-", 0.0156242064], + ["Sb3-", "Os6+", -0.0608553441], + ["Os6+", "Sb3-", -0.0608553441], + ["Sb3-", "Os5+", -0.037446966], + ["Os5+", "Sb3-", -0.037446966], + ["Sb3-", "Os2-", 0.1064405363], + ["Os2-", "Sb3-", 0.1064405363], + ["Sb3-", "Os3+", -0.0454070899], + ["Os3+", "Sb3-", -0.0454070899], + ["Sb3-", "Os4+", -0.2713323146], + ["Os4+", "Sb3-", -0.2713323146], + ["Sb3-", "Os8+", -0.0144768711], + ["Os8+", "Sb3-", -0.0144768711], + ["Sb3-", "Os2+", -0.0756505189], + ["Os2+", "Sb3-", -0.0756505189], + ["Sb3-", "Ir3+", -0.1506766492], + ["Ir3+", "Sb3-", -0.1506766492], + ["Sb3-", "Ir4+", -0.1139847326], + ["Ir4+", "Sb3-", -0.1139847326], + ["Sb3-", "Ir5+", -0.0440789313], + ["Ir5+", "Sb3-", -0.0440789313], + ["Sb3-", "Ir6+", -0.1292830873], + ["Ir6+", "Sb3-", -0.1292830873], + ["Sb3-", "Pt2+", 0.0667063205], + ["Pt2+", "Sb3-", 0.0667063205], + ["Sb3-", "Pt2-", 0.0846669397], + ["Pt2-", "Sb3-", 0.0846669397], + ["Sb3-", "Pt4+", -0.1039391773], + ["Pt4+", "Sb3-", -0.1039391773], + ["Sb3-", "Pt3+", -0.0087323134], + ["Pt3+", "Sb3-", -0.0087323134], + ["Sb3-", "Pt5+", 0.1565277284], + ["Pt5+", "Sb3-", 0.1565277284], + ["Sb3-", "Pt6+", -0.0676884927], + ["Pt6+", "Sb3-", -0.0676884927], + ["Sb3-", "Au2+", 0.1007407322], + ["Au2+", "Sb3-", 0.1007407322], + ["Sb3-", "Au3+", -0.1034948412], + ["Au3+", "Sb3-", -0.1034948412], + ["Sb3-", "Au5+", -0.1987059705], + ["Au5+", "Sb3-", -0.1987059705], + ["Sb3-", "Au4+", -0.13717709], + ["Au4+", "Sb3-", -0.13717709], + ["Sb3-", "Hg2+", 0.0116039597], + ["Hg2+", "Sb3-", 0.0116039597], + ["Sb3-", "Tl3+", -0.1243616598], + ["Tl3+", "Sb3-", -0.1243616598], + ["Sb3-", "Tl2+", -0.108959604], + ["Tl2+", "Sb3-", -0.108959604], + ["Sb3-", "Pb2+", -0.0758695303], + ["Pb2+", "Sb3-", -0.0758695303], + ["Sb3-", "Pb3+", -0.0597682705], + ["Pb3+", "Sb3-", -0.0597682705], + ["Sb3-", "Pb4+", -0.124378686], + ["Pb4+", "Sb3-", -0.124378686], + ["Sb3-", "Bi3+", -0.1593581393], + ["Bi3+", "Sb3-", -0.1593581393], + ["Sb3-", "Bi5+", -0.177066918], + ["Bi5+", "Sb3-", -0.177066918], + ["Sb3-", "Bi2+", -0.0426412879], + ["Bi2+", "Sb3-", -0.0426412879], + ["Sb3-", "Bi3-", 0.5655565308], + ["Bi3-", "Sb3-", 0.5655565308], + ["Sb3-", "Bi4+", -0.0862719822], + ["Bi4+", "Sb3-", -0.0862719822], + ["Sb3-", "Ac3+", 0.0204601841], + ["Ac3+", "Sb3-", 0.0204601841], + ["Sb3-", "Th4+", -0.0298557576], + ["Th4+", "Sb3-", -0.0298557576], + ["Sb3-", "Th3+", 0.0055533019], + ["Th3+", "Sb3-", 0.0055533019], + ["Sb3-", "Pa4+", 0.0681652737], + ["Pa4+", "Sb3-", 0.0681652737], + ["Sb3-", "Pa5+", -0.1397641333], + ["Pa5+", "Sb3-", -0.1397641333], + ["Sb3-", "Pa3+", -0.1441296051], + ["Pa3+", "Sb3-", -0.1441296051], + ["Sb3-", "U6+", -0.0206704875], + ["U6+", "Sb3-", -0.0206704875], + ["Sb3-", "U4+", 0.0599975942], + ["U4+", "Sb3-", 0.0599975942], + ["Sb3-", "U3+", 0.000291683], + ["U3+", "Sb3-", 0.000291683], + ["Sb3-", "U2+", 0.2062177731], + ["U2+", "Sb3-", 0.2062177731], + ["Sb3-", "U5+", -0.1221140777], + ["U5+", "Sb3-", -0.1221140777], + ["Sb3-", "Np6+", 0.1088200334], + ["Np6+", "Sb3-", 0.1088200334], + ["Sb3-", "Np4+", -0.1145693869], + ["Np4+", "Sb3-", -0.1145693869], + ["Sb3-", "Np3+", -0.1591230418], + ["Np3+", "Sb3-", -0.1591230418], + ["Sb3-", "Np7+", -0.0325235109], + ["Np7+", "Sb3-", -0.0325235109], + ["Sb3-", "Np5+", -0.0967635954], + ["Np5+", "Sb3-", -0.0967635954], + ["Sb3-", "Pu7+", -0.0335573655], + ["Pu7+", "Sb3-", -0.0335573655], + ["Sb3-", "Pu6+", 0.052039144], + ["Pu6+", "Sb3-", 0.052039144], + ["Sb3-", "Pu3+", -0.1302645107], + ["Pu3+", "Sb3-", -0.1302645107], + ["Sb3-", "Pu4+", -0.1092972136], + ["Pu4+", "Sb3-", -0.1092972136], + ["Sb3-", "Pu5+", -0.0853860049], + ["Pu5+", "Sb3-", -0.0853860049], + ["Sb3-", "H1+", -0.1287069361], + ["H1+", "Sb3-", -0.1287069361], + ["Sb3-", "H1-", 0.2304110826], + ["H1-", "Sb3-", 0.2304110826], + ["Sb3-", "Li1+", -0.0289175007], + ["Li1+", "Sb3-", -0.0289175007], + ["Sb3-", "B1+", -0.2196193359], + ["B1+", "Sb3-", -0.2196193359], + ["Sb3-", "B1-", 0.1831581581], + ["B1-", "Sb3-", 0.1831581581], + ["Sb3-", "C1-", 0.0738372599], + ["C1-", "Sb3-", 0.0738372599], + ["Sb3-", "C1+", -0.0797209802], + ["C1+", "Sb3-", -0.0797209802], + ["Sb3-", "N1-", 0.2058429568], + ["N1-", "Sb3-", 0.2058429568], + ["Sb3-", "N1+", -0.0602536666], + ["N1+", "Sb3-", -0.0602536666], + ["Sb3-", "O1-", 0.2156517068], + ["O1-", "Sb3-", 0.2156517068], + ["Sb3-", "F1-", 0.3305914222], + ["F1-", "Sb3-", 0.3305914222], + ["Sb3-", "Na1+", 0.0440104604], + ["Na1+", "Sb3-", 0.0440104604], + ["Sb3-", "Si1-", 0.2981136157], + ["Si1-", "Sb3-", 0.2981136157], + ["Sb3-", "P1+", -0.0599935467], + ["P1+", "Sb3-", -0.0599935467], + ["Sb3-", "P1-", 0.1398292069], + ["P1-", "Sb3-", 0.1398292069], + ["Sb3-", "S1-", 0.2109470129], + ["S1-", "Sb3-", 0.2109470129], + ["Sb3-", "S1+", -0.0470583987], + ["S1+", "Sb3-", -0.0470583987], + ["Sb3-", "Cl1-", 0.3007008415], + ["Cl1-", "Sb3-", 0.3007008415], + ["Sb3-", "K1+", 0.0193804156], + ["K1+", "Sb3-", 0.0193804156], + ["Sb3-", "Sc1+", 0.1192335741], + ["Sc1+", "Sb3-", 0.1192335741], + ["Sb3-", "Mn1+", 0.0934189231], + ["Mn1+", "Sb3-", 0.0934189231], + ["Sb3-", "Fe1+", -0.0707192649], + ["Fe1+", "Sb3-", -0.0707192649], + ["Sb3-", "Co1+", 0.0572163415], + ["Co1+", "Sb3-", 0.0572163415], + ["Sb3-", "Ni1+", 0.0115918456], + ["Ni1+", "Sb3-", 0.0115918456], + ["Sb3-", "Cu1+", 0.1595142428], + ["Cu1+", "Sb3-", 0.1595142428], + ["Sb3-", "Ga1+", -0.0039224487], + ["Ga1+", "Sb3-", -0.0039224487], + ["Sb3-", "As1-", 0.1437986976], + ["As1-", "Sb3-", 0.1437986976], + ["Sb3-", "As1+", -0.0100520952], + ["As1+", "Sb3-", -0.0100520952], + ["Sb3-", "Se1-", 0.2092744818], + ["Se1-", "Sb3-", 0.2092744818], + ["Sb3-", "Se1+", -0.0128700647], + ["Se1+", "Sb3-", -0.0128700647], + ["Sb3-", "Br1-", 0.3700118469], + ["Br1-", "Sb3-", 0.3700118469], + ["Sb3-", "Br1+", 0.0600920532], + ["Br1+", "Sb3-", 0.0600920532], + ["Sb3-", "Rb1+", -0.0306007957], + ["Rb1+", "Sb3-", -0.0306007957], + ["Sb3-", "Y1+", 0.1291942426], + ["Y1+", "Sb3-", 0.1291942426], + ["Sb3-", "Zr1+", 0.0925171741], + ["Zr1+", "Sb3-", 0.0925171741], + ["Sb3-", "Nb1+", -0.0409864974], + ["Nb1+", "Sb3-", -0.0409864974], + ["Sb3-", "Tc1-", 0.3338977409], + ["Tc1-", "Sb3-", 0.3338977409], + ["Sb3-", "Tc1+", -0.0610796133], + ["Tc1+", "Sb3-", -0.0610796133], + ["Sb3-", "Rh1+", 0.1892032612], + ["Rh1+", "Sb3-", 0.1892032612], + ["Sb3-", "Ag1+", 0.1377774956], + ["Ag1+", "Sb3-", 0.1377774956], + ["Sb3-", "In1+", -0.0017718984], + ["In1+", "Sb3-", -0.0017718984], + ["Sb3-", "Sb1-", 0.3330907288], + ["Sb1-", "Sb3-", 0.3330907288], + ["Sb3-", "Sb1+", -0.0084766921], + ["Sb1+", "Sb3-", -0.0084766921], + ["Sb3-", "Te1-", 0.2094694812], + ["Te1-", "Sb3-", 0.2094694812], + ["Sb3-", "Te1+", -0.0164761947], + ["Te1+", "Sb3-", -0.0164761947], + ["Sb3-", "I1-", 0.2775991921], + ["I1-", "Sb3-", 0.2775991921], + ["Sb3-", "I1+", 0.0080938607], + ["I1+", "Sb3-", 0.0080938607], + ["Sb3-", "Cs1+", -0.0690366644], + ["Cs1+", "Sb3-", -0.0690366644], + ["Sb3-", "La1+", 0.1619753501], + ["La1+", "Sb3-", 0.1619753501], + ["Sb3-", "Tb1+", 0.1227632503], + ["Tb1+", "Sb3-", 0.1227632503], + ["Sb3-", "Ta1+", 0.0126541714], + ["Ta1+", "Sb3-", 0.0126541714], + ["Sb3-", "Os1-", 0.0364592134], + ["Os1-", "Sb3-", 0.0364592134], + ["Sb3-", "Os1+", -0.1055396754], + ["Os1+", "Sb3-", -0.1055396754], + ["Sb3-", "Pt1-", 0.1311980562], + ["Pt1-", "Sb3-", 0.1311980562], + ["Sb3-", "Pt1+", -0.2237343603], + ["Pt1+", "Sb3-", -0.2237343603], + ["Sb3-", "Au1-", 0.13323024], + ["Au1-", "Sb3-", 0.13323024], + ["Sb3-", "Au1+", 0.1203319671], + ["Au1+", "Sb3-", 0.1203319671], + ["Sb3-", "Hg1+", 0.0386548137], + ["Hg1+", "Sb3-", 0.0386548137], + ["Sb3-", "Tl1+", 0.036569913], + ["Tl1+", "Sb3-", 0.036569913], + ["Sb3-", "Bi1+", -0.0077856248], + ["Bi1+", "Sb3-", -0.0077856248], + ["Sb3+", "Sb3+", 1.0], + ["Sb3+", "Sb4+", 0.317480692], + ["Sb4+", "Sb3+", 0.317480692], + ["Sb3+", "Te2-", 0.2296528841], + ["Te2-", "Sb3+", 0.2296528841], + ["Sb3+", "Te4+", 0.4873404594], + ["Te4+", "Sb3+", 0.4873404594], + ["Sb3+", "Te6+", 0.2367983524], + ["Te6+", "Sb3+", 0.2367983524], + ["Sb3+", "Te2+", 0.271025215], + ["Te2+", "Sb3+", 0.271025215], + ["Sb3+", "Te5+", 0.223322331], + ["Te5+", "Sb3+", 0.223322331], + ["Sb3+", "I3+", 0.1265155662], + ["I3+", "Sb3+", 0.1265155662], + ["Sb3+", "I7+", 0.1882324485], + ["I7+", "Sb3+", 0.1882324485], + ["Sb3+", "I5+", 0.1826170563], + ["I5+", "Sb3+", 0.1826170563], + ["Sb3+", "I2+", 0.2829352274], + ["I2+", "Sb3+", 0.2829352274], + ["Sb3+", "Ba2+", 0.5339271069], + ["Ba2+", "Sb3+", 0.5339271069], + ["Sb3+", "La3+", 0.4195748422], + ["La3+", "Sb3+", 0.4195748422], + ["Sb3+", "La2+", 0.0326854301], + ["La2+", "Sb3+", 0.0326854301], + ["Sb3+", "Ce3+", 0.3590131828], + ["Ce3+", "Sb3+", 0.3590131828], + ["Sb3+", "Ce2+", 0.1551331502], + ["Ce2+", "Sb3+", 0.1551331502], + ["Sb3+", "Ce4+", 0.1040022474], + ["Ce4+", "Sb3+", 0.1040022474], + ["Sb3+", "Pr3+", 0.3423715272], + ["Pr3+", "Sb3+", 0.3423715272], + ["Sb3+", "Pr4+", 0.1589950067], + ["Pr4+", "Sb3+", 0.1589950067], + ["Sb3+", "Pr2+", 0.1312140076], + ["Pr2+", "Sb3+", 0.1312140076], + ["Sb3+", "Nd3+", 0.3959657565], + ["Nd3+", "Sb3+", 0.3959657565], + ["Sb3+", "Nd2+", 0.0475380006], + ["Nd2+", "Sb3+", 0.0475380006], + ["Sb3+", "Pm3+", 0.4534060784], + ["Pm3+", "Sb3+", 0.4534060784], + ["Sb3+", "Sm3+", 0.296668449], + ["Sm3+", "Sb3+", 0.296668449], + ["Sb3+", "Sm2+", 0.2182273849], + ["Sm2+", "Sb3+", 0.2182273849], + ["Sb3+", "Eu2+", 0.2133591007], + ["Eu2+", "Sb3+", 0.2133591007], + ["Sb3+", "Eu3+", 0.2116885166], + ["Eu3+", "Sb3+", 0.2116885166], + ["Sb3+", "Gd2+", 0.142229081], + ["Gd2+", "Sb3+", 0.142229081], + ["Sb3+", "Gd3+", 0.3960978339], + ["Gd3+", "Sb3+", 0.3960978339], + ["Sb3+", "Tb3+", 0.3987636591], + ["Tb3+", "Sb3+", 0.3987636591], + ["Sb3+", "Tb2+", -0.0593471366], + ["Tb2+", "Sb3+", -0.0593471366], + ["Sb3+", "Tb4+", 0.1770731668], + ["Tb4+", "Sb3+", 0.1770731668], + ["Sb3+", "Dy3+", 0.3412317929], + ["Dy3+", "Sb3+", 0.3412317929], + ["Sb3+", "Dy2+", 0.0431931057], + ["Dy2+", "Sb3+", 0.0431931057], + ["Sb3+", "Ho3+", 0.4020867888], + ["Ho3+", "Sb3+", 0.4020867888], + ["Sb3+", "Ho2+", 0.0663222687], + ["Ho2+", "Sb3+", 0.0663222687], + ["Sb3+", "Er3+", 0.4628465875], + ["Er3+", "Sb3+", 0.4628465875], + ["Sb3+", "Tm3+", 0.4041069385], + ["Tm3+", "Sb3+", 0.4041069385], + ["Sb3+", "Tm2+", 0.1303217172], + ["Tm2+", "Sb3+", 0.1303217172], + ["Sb3+", "Yb3+", 0.2947505269], + ["Yb3+", "Sb3+", 0.2947505269], + ["Sb3+", "Yb2+", 0.2245026404], + ["Yb2+", "Sb3+", 0.2245026404], + ["Sb3+", "Lu3+", 0.3597772434], + ["Lu3+", "Sb3+", 0.3597772434], + ["Sb3+", "Hf3+", 0.0829397919], + ["Hf3+", "Sb3+", 0.0829397919], + ["Sb3+", "Hf2+", -0.1536155036], + ["Hf2+", "Sb3+", -0.1536155036], + ["Sb3+", "Hf4+", 0.2543568665], + ["Hf4+", "Sb3+", 0.2543568665], + ["Sb3+", "Ta5+", 0.4366626539], + ["Ta5+", "Sb3+", 0.4366626539], + ["Sb3+", "Ta3+", 0.4420762755], + ["Ta3+", "Sb3+", 0.4420762755], + ["Sb3+", "Ta4+", 0.4135416272], + ["Ta4+", "Sb3+", 0.4135416272], + ["Sb3+", "Ta2+", 0.1974302751], + ["Ta2+", "Sb3+", 0.1974302751], + ["Sb3+", "W6+", 0.3146256468], + ["W6+", "Sb3+", 0.3146256468], + ["Sb3+", "W4+", 0.4989430388], + ["W4+", "Sb3+", 0.4989430388], + ["Sb3+", "W2+", 0.4252554184], + ["W2+", "Sb3+", 0.4252554184], + ["Sb3+", "W3+", 0.44233747], + ["W3+", "Sb3+", 0.44233747], + ["Sb3+", "W5+", 0.4526621865], + ["W5+", "Sb3+", 0.4526621865], + ["Sb3+", "Re5+", 0.2902753748], + ["Re5+", "Sb3+", 0.2902753748], + ["Sb3+", "Re3+", 0.4499710501], + ["Re3+", "Sb3+", 0.4499710501], + ["Sb3+", "Re6+", 0.2466318778], + ["Re6+", "Sb3+", 0.2466318778], + ["Sb3+", "Re2+", 0.2334594199], + ["Re2+", "Sb3+", 0.2334594199], + ["Sb3+", "Re4+", 0.4433277278], + ["Re4+", "Sb3+", 0.4433277278], + ["Sb3+", "Re7+", 0.2328458891], + ["Re7+", "Sb3+", 0.2328458891], + ["Sb3+", "Os7+", 0.1725618167], + ["Os7+", "Sb3+", 0.1725618167], + ["Sb3+", "Os6+", 0.2772335403], + ["Os6+", "Sb3+", 0.2772335403], + ["Sb3+", "Os5+", 0.3571171926], + ["Os5+", "Sb3+", 0.3571171926], + ["Sb3+", "Os2-", 0.1123492502], + ["Os2-", "Sb3+", 0.1123492502], + ["Sb3+", "Os3+", 0.247770755], + ["Os3+", "Sb3+", 0.247770755], + ["Sb3+", "Os4+", 0.2441737349], + ["Os4+", "Sb3+", 0.2441737349], + ["Sb3+", "Os8+", 0.3060806224], + ["Os8+", "Sb3+", 0.3060806224], + ["Sb3+", "Os2+", 0.070120409], + ["Os2+", "Sb3+", 0.070120409], + ["Sb3+", "Ir3+", 0.2011278417], + ["Ir3+", "Sb3+", 0.2011278417], + ["Sb3+", "Ir4+", 0.3566030966], + ["Ir4+", "Sb3+", 0.3566030966], + ["Sb3+", "Ir5+", 0.3338675774], + ["Ir5+", "Sb3+", 0.3338675774], + ["Sb3+", "Ir6+", 0.2921347665], + ["Ir6+", "Sb3+", 0.2921347665], + ["Sb3+", "Pt2+", 0.1859611367], + ["Pt2+", "Sb3+", 0.1859611367], + ["Sb3+", "Pt2-", 0.0764136172], + ["Pt2-", "Sb3+", 0.0764136172], + ["Sb3+", "Pt4+", 0.3202490998], + ["Pt4+", "Sb3+", 0.3202490998], + ["Sb3+", "Pt3+", 0.0853958767], + ["Pt3+", "Sb3+", 0.0853958767], + ["Sb3+", "Pt5+", 0.2810275892], + ["Pt5+", "Sb3+", 0.2810275892], + ["Sb3+", "Pt6+", 0.2201943831], + ["Pt6+", "Sb3+", 0.2201943831], + ["Sb3+", "Au2+", 0.2630611041], + ["Au2+", "Sb3+", 0.2630611041], + ["Sb3+", "Au3+", 0.3380419735], + ["Au3+", "Sb3+", 0.3380419735], + ["Sb3+", "Au5+", 0.4085632312], + ["Au5+", "Sb3+", 0.4085632312], + ["Sb3+", "Au4+", 0.4097779944], + ["Au4+", "Sb3+", 0.4097779944], + ["Sb3+", "Hg2+", 0.3765764494], + ["Hg2+", "Sb3+", 0.3765764494], + ["Sb3+", "Tl3+", 0.425853404], + ["Tl3+", "Sb3+", 0.425853404], + ["Sb3+", "Tl2+", 0.4532585871], + ["Tl2+", "Sb3+", 0.4532585871], + ["Sb3+", "Pb2+", 0.6853270313], + ["Pb2+", "Sb3+", 0.6853270313], + ["Sb3+", "Pb3+", 0.2644337871], + ["Pb3+", "Sb3+", 0.2644337871], + ["Sb3+", "Pb4+", 0.3353793032], + ["Pb4+", "Sb3+", 0.3353793032], + ["Sb3+", "Bi3+", 0.7487242819], + ["Bi3+", "Sb3+", 0.7487242819], + ["Sb3+", "Bi5+", 0.2157009626], + ["Bi5+", "Sb3+", 0.2157009626], + ["Sb3+", "Bi2+", 0.380565461], + ["Bi2+", "Sb3+", 0.380565461], + ["Sb3+", "Bi3-", -0.0741469713], + ["Bi3-", "Sb3+", -0.0741469713], + ["Sb3+", "Bi4+", 0.1670989955], + ["Bi4+", "Sb3+", 0.1670989955], + ["Sb3+", "Ac3+", 0.4973741913], + ["Ac3+", "Sb3+", 0.4973741913], + ["Sb3+", "Th4+", 0.360307305], + ["Th4+", "Sb3+", 0.360307305], + ["Sb3+", "Th3+", 0.3453898425], + ["Th3+", "Sb3+", 0.3453898425], + ["Sb3+", "Pa4+", 0.0540078265], + ["Pa4+", "Sb3+", 0.0540078265], + ["Sb3+", "Pa5+", 0.3844398324], + ["Pa5+", "Sb3+", 0.3844398324], + ["Sb3+", "Pa3+", 0.2355869888], + ["Pa3+", "Sb3+", 0.2355869888], + ["Sb3+", "U6+", 0.191289138], + ["U6+", "Sb3+", 0.191289138], + ["Sb3+", "U4+", 0.4778926065], + ["U4+", "Sb3+", 0.4778926065], + ["Sb3+", "U3+", 0.2987875025], + ["U3+", "Sb3+", 0.2987875025], + ["Sb3+", "U2+", 0.2301370107], + ["U2+", "Sb3+", 0.2301370107], + ["Sb3+", "U5+", 0.1375621927], + ["U5+", "Sb3+", 0.1375621927], + ["Sb3+", "Np6+", 0.2808329973], + ["Np6+", "Sb3+", 0.2808329973], + ["Sb3+", "Np4+", 0.3676603261], + ["Np4+", "Sb3+", 0.3676603261], + ["Sb3+", "Np3+", 0.4074653888], + ["Np3+", "Sb3+", 0.4074653888], + ["Sb3+", "Np7+", 0.2142076038], + ["Np7+", "Sb3+", 0.2142076038], + ["Sb3+", "Np5+", 0.5008532168], + ["Np5+", "Sb3+", 0.5008532168], + ["Sb3+", "Pu7+", 0.0141243122], + ["Pu7+", "Sb3+", 0.0141243122], + ["Sb3+", "Pu6+", 0.1891265529], + ["Pu6+", "Sb3+", 0.1891265529], + ["Sb3+", "Pu3+", 0.5381935925], + ["Pu3+", "Sb3+", 0.5381935925], + ["Sb3+", "Pu4+", 0.2914795951], + ["Pu4+", "Sb3+", 0.2914795951], + ["Sb3+", "Pu5+", 0.1621907158], + ["Pu5+", "Sb3+", 0.1621907158], + ["Sb3+", "H1+", 0.0215414545], + ["H1+", "Sb3+", 0.0215414545], + ["Sb3+", "H1-", 0.0011249225], + ["H1-", "Sb3+", 0.0011249225], + ["Sb3+", "Li1+", 0.3365042811], + ["Li1+", "Sb3+", 0.3365042811], + ["Sb3+", "B1+", 0.3202478568], + ["B1+", "Sb3+", 0.3202478568], + ["Sb3+", "B1-", -0.0256127166], + ["B1-", "Sb3+", -0.0256127166], + ["Sb3+", "C1-", 0.1490887259], + ["C1-", "Sb3+", 0.1490887259], + ["Sb3+", "C1+", 0.2646020475], + ["C1+", "Sb3+", 0.2646020475], + ["Sb3+", "N1-", 0.0998419276], + ["N1-", "Sb3+", 0.0998419276], + ["Sb3+", "N1+", 0.3055074221], + ["N1+", "Sb3+", 0.3055074221], + ["Sb3+", "O1-", 0.0970868028], + ["O1-", "Sb3+", 0.0970868028], + ["Sb3+", "F1-", 0.1528830826], + ["F1-", "Sb3+", 0.1528830826], + ["Sb3+", "Na1+", 0.3788683913], + ["Na1+", "Sb3+", 0.3788683913], + ["Sb3+", "Si1-", 0.037729854], + ["Si1-", "Sb3+", 0.037729854], + ["Sb3+", "P1+", 0.2220014605], + ["P1+", "Sb3+", 0.2220014605], + ["Sb3+", "P1-", -0.1140770541], + ["P1-", "Sb3+", -0.1140770541], + ["Sb3+", "S1-", 0.3208446058], + ["S1-", "Sb3+", 0.3208446058], + ["Sb3+", "S1+", 0.1340651411], + ["S1+", "Sb3+", 0.1340651411], + ["Sb3+", "Cl1-", 0.2047013964], + ["Cl1-", "Sb3+", 0.2047013964], + ["Sb3+", "K1+", 0.5164055961], + ["K1+", "Sb3+", 0.5164055961], + ["Sb3+", "Sc1+", 0.0636783767], + ["Sc1+", "Sb3+", 0.0636783767], + ["Sb3+", "Mn1+", -0.0438056851], + ["Mn1+", "Sb3+", -0.0438056851], + ["Sb3+", "Fe1+", -0.0865611724], + ["Fe1+", "Sb3+", -0.0865611724], + ["Sb3+", "Co1+", -0.1844616929], + ["Co1+", "Sb3+", -0.1844616929], + ["Sb3+", "Ni1+", -0.0726001892], + ["Ni1+", "Sb3+", -0.0726001892], + ["Sb3+", "Cu1+", 0.3978190862], + ["Cu1+", "Sb3+", 0.3978190862], + ["Sb3+", "Ga1+", 0.1155114267], + ["Ga1+", "Sb3+", 0.1155114267], + ["Sb3+", "As1-", 0.0806408778], + ["As1-", "Sb3+", 0.0806408778], + ["Sb3+", "As1+", 0.4090750513], + ["As1+", "Sb3+", 0.4090750513], + ["Sb3+", "Se1-", 0.293842884], + ["Se1-", "Sb3+", 0.293842884], + ["Sb3+", "Se1+", 0.1118896819], + ["Se1+", "Sb3+", 0.1118896819], + ["Sb3+", "Br1-", 0.0910965816], + ["Br1-", "Sb3+", 0.0910965816], + ["Sb3+", "Br1+", 0.1217289832], + ["Br1+", "Sb3+", 0.1217289832], + ["Sb3+", "Rb1+", 0.4952246891], + ["Rb1+", "Sb3+", 0.4952246891], + ["Sb3+", "Y1+", -0.0072228078], + ["Y1+", "Sb3+", -0.0072228078], + ["Sb3+", "Zr1+", -0.0082169756], + ["Zr1+", "Sb3+", -0.0082169756], + ["Sb3+", "Nb1+", 0.205193101], + ["Nb1+", "Sb3+", 0.205193101], + ["Sb3+", "Tc1-", 0.089902465], + ["Tc1-", "Sb3+", 0.089902465], + ["Sb3+", "Tc1+", 0.3875061367], + ["Tc1+", "Sb3+", 0.3875061367], + ["Sb3+", "Rh1+", -0.0195726423], + ["Rh1+", "Sb3+", -0.0195726423], + ["Sb3+", "Ag1+", 0.5553805427], + ["Ag1+", "Sb3+", 0.5553805427], + ["Sb3+", "In1+", 0.2905244074], + ["In1+", "Sb3+", 0.2905244074], + ["Sb3+", "Sb1-", 0.0272996034], + ["Sb1-", "Sb3+", 0.0272996034], + ["Sb3+", "Sb1+", 0.4408382413], + ["Sb1+", "Sb3+", 0.4408382413], + ["Sb3+", "Te1-", 0.347594968], + ["Te1-", "Sb3+", 0.347594968], + ["Sb3+", "Te1+", 0.3933226063], + ["Te1+", "Sb3+", 0.3933226063], + ["Sb3+", "I1-", 0.156208791], + ["I1-", "Sb3+", 0.156208791], + ["Sb3+", "I1+", 0.1407201554], + ["I1+", "Sb3+", 0.1407201554], + ["Sb3+", "Cs1+", 0.648151407], + ["Cs1+", "Sb3+", 0.648151407], + ["Sb3+", "La1+", -0.0543692578], + ["La1+", "Sb3+", -0.0543692578], + ["Sb3+", "Tb1+", -0.050219773], + ["Tb1+", "Sb3+", -0.050219773], + ["Sb3+", "Ta1+", 0.1892141763], + ["Ta1+", "Sb3+", 0.1892141763], + ["Sb3+", "Os1-", 0.3018937457], + ["Os1-", "Sb3+", 0.3018937457], + ["Sb3+", "Os1+", 0.1698559771], + ["Os1+", "Sb3+", 0.1698559771], + ["Sb3+", "Pt1-", 0.1594551922], + ["Pt1-", "Sb3+", 0.1594551922], + ["Sb3+", "Pt1+", 0.2248199981], + ["Pt1+", "Sb3+", 0.2248199981], + ["Sb3+", "Au1-", 0.0412335258], + ["Au1-", "Sb3+", 0.0412335258], + ["Sb3+", "Au1+", 0.3474713438], + ["Au1+", "Sb3+", 0.3474713438], + ["Sb3+", "Hg1+", 0.3227993293], + ["Hg1+", "Sb3+", 0.3227993293], + ["Sb3+", "Tl1+", 0.7592450182], + ["Tl1+", "Sb3+", 0.7592450182], + ["Sb3+", "Bi1+", 0.3150688845], + ["Bi1+", "Sb3+", 0.3150688845], + ["Sb4+", "Sb4+", 1.0], + ["Sb4+", "Te2-", 0.1174127432], + ["Te2-", "Sb4+", 0.1174127432], + ["Sb4+", "Te4+", 0.5160005567], + ["Te4+", "Sb4+", 0.5160005567], + ["Sb4+", "Te6+", 0.5170987085], + ["Te6+", "Sb4+", 0.5170987085], + ["Sb4+", "Te2+", 0.180262991], + ["Te2+", "Sb4+", 0.180262991], + ["Sb4+", "Te5+", 0.4266173495], + ["Te5+", "Sb4+", 0.4266173495], + ["Sb4+", "I3+", 0.34396522], + ["I3+", "Sb4+", 0.34396522], + ["Sb4+", "I7+", 0.402449925], + ["I7+", "Sb4+", 0.402449925], + ["Sb4+", "I5+", 0.5543678257], + ["I5+", "Sb4+", 0.5543678257], + ["Sb4+", "I2+", 0.3225137637], + ["I2+", "Sb4+", 0.3225137637], + ["Sb4+", "Ba2+", 0.3260276123], + ["Ba2+", "Sb4+", 0.3260276123], + ["Sb4+", "La3+", 0.2357660658], + ["La3+", "Sb4+", 0.2357660658], + ["Sb4+", "La2+", 0.1677934422], + ["La2+", "Sb4+", 0.1677934422], + ["Sb4+", "Ce3+", 0.0501445569], + ["Ce3+", "Sb4+", 0.0501445569], + ["Sb4+", "Ce2+", -0.0297525212], + ["Ce2+", "Sb4+", -0.0297525212], + ["Sb4+", "Ce4+", 0.190692639], + ["Ce4+", "Sb4+", 0.190692639], + ["Sb4+", "Pr3+", 0.1126956818], + ["Pr3+", "Sb4+", 0.1126956818], + ["Sb4+", "Pr4+", 0.1264178648], + ["Pr4+", "Sb4+", 0.1264178648], + ["Sb4+", "Pr2+", 0.188477717], + ["Pr2+", "Sb4+", 0.188477717], + ["Sb4+", "Nd3+", 0.1770033437], + ["Nd3+", "Sb4+", 0.1770033437], + ["Sb4+", "Nd2+", 0.2644479557], + ["Nd2+", "Sb4+", 0.2644479557], + ["Sb4+", "Pm3+", 0.0712294599], + ["Pm3+", "Sb4+", 0.0712294599], + ["Sb4+", "Sm3+", 0.1247263271], + ["Sm3+", "Sb4+", 0.1247263271], + ["Sb4+", "Sm2+", 0.1786910897], + ["Sm2+", "Sb4+", 0.1786910897], + ["Sb4+", "Eu2+", 0.1083505634], + ["Eu2+", "Sb4+", 0.1083505634], + ["Sb4+", "Eu3+", 0.3227376863], + ["Eu3+", "Sb4+", 0.3227376863], + ["Sb4+", "Gd2+", 0.0619604482], + ["Gd2+", "Sb4+", 0.0619604482], + ["Sb4+", "Gd3+", 0.2835176785], + ["Gd3+", "Sb4+", 0.2835176785], + ["Sb4+", "Tb3+", 0.2366893723], + ["Tb3+", "Sb4+", 0.2366893723], + ["Sb4+", "Tb2+", 0.1395549666], + ["Tb2+", "Sb4+", 0.1395549666], + ["Sb4+", "Tb4+", 0.3131284961], + ["Tb4+", "Sb4+", 0.3131284961], + ["Sb4+", "Dy3+", 0.2315363701], + ["Dy3+", "Sb4+", 0.2315363701], + ["Sb4+", "Dy2+", 0.1450953068], + ["Dy2+", "Sb4+", 0.1450953068], + ["Sb4+", "Ho3+", 0.2031609638], + ["Ho3+", "Sb4+", 0.2031609638], + ["Sb4+", "Ho2+", 0.0826007234], + ["Ho2+", "Sb4+", 0.0826007234], + ["Sb4+", "Er3+", 0.1852691772], + ["Er3+", "Sb4+", 0.1852691772], + ["Sb4+", "Tm3+", 0.2496731508], + ["Tm3+", "Sb4+", 0.2496731508], + ["Sb4+", "Tm2+", 0.0739913986], + ["Tm2+", "Sb4+", 0.0739913986], + ["Sb4+", "Yb3+", 0.2243786788], + ["Yb3+", "Sb4+", 0.2243786788], + ["Sb4+", "Yb2+", -0.073595629], + ["Yb2+", "Sb4+", -0.073595629], + ["Sb4+", "Lu3+", 0.2978520763], + ["Lu3+", "Sb4+", 0.2978520763], + ["Sb4+", "Hf3+", -0.1842485065], + ["Hf3+", "Sb4+", -0.1842485065], + ["Sb4+", "Hf2+", 0.0574141096], + ["Hf2+", "Sb4+", 0.0574141096], + ["Sb4+", "Hf4+", 0.247708311], + ["Hf4+", "Sb4+", 0.247708311], + ["Sb4+", "Ta5+", 0.3608520379], + ["Ta5+", "Sb4+", 0.3608520379], + ["Sb4+", "Ta3+", -0.0158564126], + ["Ta3+", "Sb4+", -0.0158564126], + ["Sb4+", "Ta4+", 0.0576980889], + ["Ta4+", "Sb4+", 0.0576980889], + ["Sb4+", "Ta2+", -0.0544812777], + ["Ta2+", "Sb4+", -0.0544812777], + ["Sb4+", "W6+", 0.4058753373], + ["W6+", "Sb4+", 0.4058753373], + ["Sb4+", "W4+", 0.3047543443], + ["W4+", "Sb4+", 0.3047543443], + ["Sb4+", "W2+", 0.2058143053], + ["W2+", "Sb4+", 0.2058143053], + ["Sb4+", "W3+", 0.1894341707], + ["W3+", "Sb4+", 0.1894341707], + ["Sb4+", "W5+", 0.5160203439], + ["W5+", "Sb4+", 0.5160203439], + ["Sb4+", "Re5+", 0.1856286495], + ["Re5+", "Sb4+", 0.1856286495], + ["Sb4+", "Re3+", -0.1553763611], + ["Re3+", "Sb4+", -0.1553763611], + ["Sb4+", "Re6+", 0.0710823698], + ["Re6+", "Sb4+", 0.0710823698], + ["Sb4+", "Re2+", 0.2241110177], + ["Re2+", "Sb4+", 0.2241110177], + ["Sb4+", "Re4+", 0.00612977], + ["Re4+", "Sb4+", 0.00612977], + ["Sb4+", "Re7+", 0.293159832], + ["Re7+", "Sb4+", 0.293159832], + ["Sb4+", "Os7+", 0.1470821746], + ["Os7+", "Sb4+", 0.1470821746], + ["Sb4+", "Os6+", 0.0924884239], + ["Os6+", "Sb4+", 0.0924884239], + ["Sb4+", "Os5+", 0.1098142955], + ["Os5+", "Sb4+", 0.1098142955], + ["Sb4+", "Os2-", -0.3288524033], + ["Os2-", "Sb4+", -0.3288524033], + ["Sb4+", "Os3+", 0.0186605236], + ["Os3+", "Sb4+", 0.0186605236], + ["Sb4+", "Os4+", 0.0660082801], + ["Os4+", "Sb4+", 0.0660082801], + ["Sb4+", "Os8+", 0.1790905398], + ["Os8+", "Sb4+", 0.1790905398], + ["Sb4+", "Os2+", 0.195902186], + ["Os2+", "Sb4+", 0.195902186], + ["Sb4+", "Ir3+", -0.0349334667], + ["Ir3+", "Sb4+", -0.0349334667], + ["Sb4+", "Ir4+", 0.2056742263], + ["Ir4+", "Sb4+", 0.2056742263], + ["Sb4+", "Ir5+", 0.1005275945], + ["Ir5+", "Sb4+", 0.1005275945], + ["Sb4+", "Ir6+", 0.38324443], + ["Ir6+", "Sb4+", 0.38324443], + ["Sb4+", "Pt2+", -0.1660339595], + ["Pt2+", "Sb4+", -0.1660339595], + ["Sb4+", "Pt2-", -0.3168428013], + ["Pt2-", "Sb4+", -0.3168428013], + ["Sb4+", "Pt4+", 0.3475877889], + ["Pt4+", "Sb4+", 0.3475877889], + ["Sb4+", "Pt3+", 0.2414280306], + ["Pt3+", "Sb4+", 0.2414280306], + ["Sb4+", "Pt5+", 0.1705287011], + ["Pt5+", "Sb4+", 0.1705287011], + ["Sb4+", "Pt6+", 0.2634386492], + ["Pt6+", "Sb4+", 0.2634386492], + ["Sb4+", "Au2+", 0.2585389395], + ["Au2+", "Sb4+", 0.2585389395], + ["Sb4+", "Au3+", 0.2087908525], + ["Au3+", "Sb4+", 0.2087908525], + ["Sb4+", "Au5+", 0.0732676253], + ["Au5+", "Sb4+", 0.0732676253], + ["Sb4+", "Au4+", 0.1950721515], + ["Au4+", "Sb4+", 0.1950721515], + ["Sb4+", "Hg2+", 0.1309027031], + ["Hg2+", "Sb4+", 0.1309027031], + ["Sb4+", "Tl3+", 0.4829279384], + ["Tl3+", "Sb4+", 0.4829279384], + ["Sb4+", "Tl2+", 0.2956471429], + ["Tl2+", "Sb4+", 0.2956471429], + ["Sb4+", "Pb2+", 0.3728010355], + ["Pb2+", "Sb4+", 0.3728010355], + ["Sb4+", "Pb3+", 0.4341472008], + ["Pb3+", "Sb4+", 0.4341472008], + ["Sb4+", "Pb4+", 0.3225449307], + ["Pb4+", "Sb4+", 0.3225449307], + ["Sb4+", "Bi3+", 0.4598905324], + ["Bi3+", "Sb4+", 0.4598905324], + ["Sb4+", "Bi5+", 0.5517558422], + ["Bi5+", "Sb4+", 0.5517558422], + ["Sb4+", "Bi2+", 0.3082461503], + ["Bi2+", "Sb4+", 0.3082461503], + ["Sb4+", "Bi3-", 0.0501339003], + ["Bi3-", "Sb4+", 0.0501339003], + ["Sb4+", "Bi4+", 0.3356105359], + ["Bi4+", "Sb4+", 0.3356105359], + ["Sb4+", "Ac3+", 0.1103126181], + ["Ac3+", "Sb4+", 0.1103126181], + ["Sb4+", "Th4+", 0.2311027478], + ["Th4+", "Sb4+", 0.2311027478], + ["Sb4+", "Th3+", 0.0128661907], + ["Th3+", "Sb4+", 0.0128661907], + ["Sb4+", "Pa4+", 0.145436104], + ["Pa4+", "Sb4+", 0.145436104], + ["Sb4+", "Pa5+", 0.4302590225], + ["Pa5+", "Sb4+", 0.4302590225], + ["Sb4+", "Pa3+", -0.0644293299], + ["Pa3+", "Sb4+", -0.0644293299], + ["Sb4+", "U6+", 0.4368554596], + ["U6+", "Sb4+", 0.4368554596], + ["Sb4+", "U4+", 0.0407634086], + ["U4+", "Sb4+", 0.0407634086], + ["Sb4+", "U3+", -0.0928361229], + ["U3+", "Sb4+", -0.0928361229], + ["Sb4+", "U2+", -0.1468058725], + ["U2+", "Sb4+", -0.1468058725], + ["Sb4+", "U5+", 0.3179415465], + ["U5+", "Sb4+", 0.3179415465], + ["Sb4+", "Np6+", 0.2109275443], + ["Np6+", "Sb4+", 0.2109275443], + ["Sb4+", "Np4+", 0.267124404], + ["Np4+", "Sb4+", 0.267124404], + ["Sb4+", "Np3+", 0.0161965187], + ["Np3+", "Sb4+", 0.0161965187], + ["Sb4+", "Np7+", 0.3522105684], + ["Np7+", "Sb4+", 0.3522105684], + ["Sb4+", "Np5+", 0.2053878334], + ["Np5+", "Sb4+", 0.2053878334], + ["Sb4+", "Pu7+", 0.4482456479], + ["Pu7+", "Sb4+", 0.4482456479], + ["Sb4+", "Pu6+", 0.1354798368], + ["Pu6+", "Sb4+", 0.1354798368], + ["Sb4+", "Pu3+", 0.0905247765], + ["Pu3+", "Sb4+", 0.0905247765], + ["Sb4+", "Pu4+", 0.4079860957], + ["Pu4+", "Sb4+", 0.4079860957], + ["Sb4+", "Pu5+", 0.3709112284], + ["Pu5+", "Sb4+", 0.3709112284], + ["Sb4+", "H1+", 0.396365587], + ["H1+", "Sb4+", 0.396365587], + ["Sb4+", "H1-", -0.1024954475], + ["H1-", "Sb4+", -0.1024954475], + ["Sb4+", "Li1+", 0.4648720158], + ["Li1+", "Sb4+", 0.4648720158], + ["Sb4+", "B1+", 0.3262324609], + ["B1+", "Sb4+", 0.3262324609], + ["Sb4+", "B1-", 0.0345352272], + ["B1-", "Sb4+", 0.0345352272], + ["Sb4+", "C1-", -0.0255798625], + ["C1-", "Sb4+", -0.0255798625], + ["Sb4+", "C1+", 0.2039992328], + ["C1+", "Sb4+", 0.2039992328], + ["Sb4+", "N1-", 0.1208296499], + ["N1-", "Sb4+", 0.1208296499], + ["Sb4+", "N1+", 0.3252348041], + ["N1+", "Sb4+", 0.3252348041], + ["Sb4+", "O1-", 0.2680429265], + ["O1-", "Sb4+", 0.2680429265], + ["Sb4+", "F1-", 0.1431506917], + ["F1-", "Sb4+", 0.1431506917], + ["Sb4+", "Na1+", 0.5097464464], + ["Na1+", "Sb4+", 0.5097464464], + ["Sb4+", "Si1-", -0.0048333221], + ["Si1-", "Sb4+", -0.0048333221], + ["Sb4+", "P1+", 0.0031116932], + ["P1+", "Sb4+", 0.0031116932], + ["Sb4+", "P1-", -0.075413487], + ["P1-", "Sb4+", -0.075413487], + ["Sb4+", "S1-", 0.0306874621], + ["S1-", "Sb4+", 0.0306874621], + ["Sb4+", "S1+", 0.0625670201], + ["S1+", "Sb4+", 0.0625670201], + ["Sb4+", "Cl1-", 0.2116067061], + ["Cl1-", "Sb4+", 0.2116067061], + ["Sb4+", "K1+", 0.357432027], + ["K1+", "Sb4+", 0.357432027], + ["Sb4+", "Sc1+", 0.0446984561], + ["Sc1+", "Sb4+", 0.0446984561], + ["Sb4+", "Mn1+", 0.2251337142], + ["Mn1+", "Sb4+", 0.2251337142], + ["Sb4+", "Fe1+", -0.1771478007], + ["Fe1+", "Sb4+", -0.1771478007], + ["Sb4+", "Co1+", -0.1795392003], + ["Co1+", "Sb4+", -0.1795392003], + ["Sb4+", "Ni1+", -0.2358490175], + ["Ni1+", "Sb4+", -0.2358490175], + ["Sb4+", "Cu1+", 0.0066158311], + ["Cu1+", "Sb4+", 0.0066158311], + ["Sb4+", "Ga1+", -0.0033148385], + ["Ga1+", "Sb4+", -0.0033148385], + ["Sb4+", "As1-", -0.0096367531], + ["As1-", "Sb4+", -0.0096367531], + ["Sb4+", "As1+", 0.0349517729], + ["As1+", "Sb4+", 0.0349517729], + ["Sb4+", "Se1-", 0.1802943392], + ["Se1-", "Sb4+", 0.1802943392], + ["Sb4+", "Se1+", 0.2693156015], + ["Se1+", "Sb4+", 0.2693156015], + ["Sb4+", "Br1-", 0.2163944608], + ["Br1-", "Sb4+", 0.2163944608], + ["Sb4+", "Br1+", 0.1310140078], + ["Br1+", "Sb4+", 0.1310140078], + ["Sb4+", "Rb1+", 0.3318429006], + ["Rb1+", "Sb4+", 0.3318429006], + ["Sb4+", "Y1+", 0.1947690161], + ["Y1+", "Sb4+", 0.1947690161], + ["Sb4+", "Zr1+", -0.1860121222], + ["Zr1+", "Sb4+", -0.1860121222], + ["Sb4+", "Nb1+", -0.0738003555], + ["Nb1+", "Sb4+", -0.0738003555], + ["Sb4+", "Tc1-", -0.1823003334], + ["Tc1-", "Sb4+", -0.1823003334], + ["Sb4+", "Tc1+", 0.0070719248], + ["Tc1+", "Sb4+", 0.0070719248], + ["Sb4+", "Rh1+", -0.1676938098], + ["Rh1+", "Sb4+", -0.1676938098], + ["Sb4+", "Ag1+", 0.1886164958], + ["Ag1+", "Sb4+", 0.1886164958], + ["Sb4+", "In1+", 0.0199933592], + ["In1+", "Sb4+", 0.0199933592], + ["Sb4+", "Sb1-", -0.0359841659], + ["Sb1-", "Sb4+", -0.0359841659], + ["Sb4+", "Sb1+", 0.1660108795], + ["Sb1+", "Sb4+", 0.1660108795], + ["Sb4+", "Te1-", 0.15577128], + ["Te1-", "Sb4+", 0.15577128], + ["Sb4+", "Te1+", 0.0835674684], + ["Te1+", "Sb4+", 0.0835674684], + ["Sb4+", "I1-", 0.1856713889], + ["I1-", "Sb4+", 0.1856713889], + ["Sb4+", "I1+", 0.2114765207], + ["I1+", "Sb4+", 0.2114765207], + ["Sb4+", "Cs1+", 0.2767750422], + ["Cs1+", "Sb4+", 0.2767750422], + ["Sb4+", "La1+", 0.0483887079], + ["La1+", "Sb4+", 0.0483887079], + ["Sb4+", "Tb1+", 0.0696784382], + ["Tb1+", "Sb4+", 0.0696784382], + ["Sb4+", "Ta1+", -0.2486691272], + ["Ta1+", "Sb4+", -0.2486691272], + ["Sb4+", "Os1-", -0.1844706656], + ["Os1-", "Sb4+", -0.1844706656], + ["Sb4+", "Os1+", 0.2028326126], + ["Os1+", "Sb4+", 0.2028326126], + ["Sb4+", "Pt1-", -0.1916296151], + ["Pt1-", "Sb4+", -0.1916296151], + ["Sb4+", "Pt1+", 0.1244120073], + ["Pt1+", "Sb4+", 0.1244120073], + ["Sb4+", "Au1-", -0.1010640772], + ["Au1-", "Sb4+", -0.1010640772], + ["Sb4+", "Au1+", -0.0731891241], + ["Au1+", "Sb4+", -0.0731891241], + ["Sb4+", "Hg1+", 0.5433142189], + ["Hg1+", "Sb4+", 0.5433142189], + ["Sb4+", "Tl1+", 0.2774809496], + ["Tl1+", "Sb4+", 0.2774809496], + ["Sb4+", "Bi1+", 0.1510937386], + ["Bi1+", "Sb4+", 0.1510937386], + ["Te2-", "Te2-", 1.0], + ["Te2-", "Te4+", 0.0349725946], + ["Te4+", "Te2-", 0.0349725946], + ["Te2-", "Te6+", -0.0957091951], + ["Te6+", "Te2-", -0.0957091951], + ["Te2-", "Te2+", 0.0702551684], + ["Te2+", "Te2-", 0.0702551684], + ["Te2-", "Te5+", 0.0416376017], + ["Te5+", "Te2-", 0.0416376017], + ["Te2-", "I3+", 0.108858107], + ["I3+", "Te2-", 0.108858107], + ["Te2-", "I7+", 0.0796075635], + ["I7+", "Te2-", 0.0796075635], + ["Te2-", "I5+", 0.1505739336], + ["I5+", "Te2-", 0.1505739336], + ["Te2-", "I2+", 0.3140231031], + ["I2+", "Te2-", 0.3140231031], + ["Te2-", "Ba2+", 0.1173248775], + ["Ba2+", "Te2-", 0.1173248775], + ["Te2-", "La3+", 0.1248148725], + ["La3+", "Te2-", 0.1248148725], + ["Te2-", "La2+", -0.0461293591], + ["La2+", "Te2-", -0.0461293591], + ["Te2-", "Ce3+", 0.2128672305], + ["Ce3+", "Te2-", 0.2128672305], + ["Te2-", "Ce2+", -0.0019421838], + ["Ce2+", "Te2-", -0.0019421838], + ["Te2-", "Ce4+", -0.001912837], + ["Ce4+", "Te2-", -0.001912837], + ["Te2-", "Pr3+", 0.1007033502], + ["Pr3+", "Te2-", 0.1007033502], + ["Te2-", "Pr4+", 0.0309930591], + ["Pr4+", "Te2-", 0.0309930591], + ["Te2-", "Pr2+", -0.0445026852], + ["Pr2+", "Te2-", -0.0445026852], + ["Te2-", "Nd3+", 0.0156130007], + ["Nd3+", "Te2-", 0.0156130007], + ["Te2-", "Nd2+", 0.0665325662], + ["Nd2+", "Te2-", 0.0665325662], + ["Te2-", "Pm3+", 0.0851593908], + ["Pm3+", "Te2-", 0.0851593908], + ["Te2-", "Sm3+", 0.0459087929], + ["Sm3+", "Te2-", 0.0459087929], + ["Te2-", "Sm2+", 0.1221636335], + ["Sm2+", "Te2-", 0.1221636335], + ["Te2-", "Eu2+", 0.0942924398], + ["Eu2+", "Te2-", 0.0942924398], + ["Te2-", "Eu3+", 0.1810880404], + ["Eu3+", "Te2-", 0.1810880404], + ["Te2-", "Gd2+", -0.0557250976], + ["Gd2+", "Te2-", -0.0557250976], + ["Te2-", "Gd3+", 0.072169304], + ["Gd3+", "Te2-", 0.072169304], + ["Te2-", "Tb3+", 0.1287413281], + ["Tb3+", "Te2-", 0.1287413281], + ["Te2-", "Tb2+", -0.0474095262], + ["Tb2+", "Te2-", -0.0474095262], + ["Te2-", "Tb4+", 0.1015203429], + ["Tb4+", "Te2-", 0.1015203429], + ["Te2-", "Dy3+", 0.0790474952], + ["Dy3+", "Te2-", 0.0790474952], + ["Te2-", "Dy2+", 0.1310681206], + ["Dy2+", "Te2-", 0.1310681206], + ["Te2-", "Ho3+", 0.1105086054], + ["Ho3+", "Te2-", 0.1105086054], + ["Te2-", "Ho2+", 0.1048221649], + ["Ho2+", "Te2-", 0.1048221649], + ["Te2-", "Er3+", 0.1615731603], + ["Er3+", "Te2-", 0.1615731603], + ["Te2-", "Tm3+", 0.178208291], + ["Tm3+", "Te2-", 0.178208291], + ["Te2-", "Tm2+", 0.1845092038], + ["Tm2+", "Te2-", 0.1845092038], + ["Te2-", "Yb3+", 0.1614923184], + ["Yb3+", "Te2-", 0.1614923184], + ["Te2-", "Yb2+", 0.0673696587], + ["Yb2+", "Te2-", 0.0673696587], + ["Te2-", "Lu3+", 0.0587533996], + ["Lu3+", "Te2-", 0.0587533996], + ["Te2-", "Hf3+", -0.057706067], + ["Hf3+", "Te2-", -0.057706067], + ["Te2-", "Hf2+", -0.0644120661], + ["Hf2+", "Te2-", -0.0644120661], + ["Te2-", "Hf4+", 0.1668700389], + ["Hf4+", "Te2-", 0.1668700389], + ["Te2-", "Ta5+", 0.2370774667], + ["Ta5+", "Te2-", 0.2370774667], + ["Te2-", "Ta3+", 0.1033296943], + ["Ta3+", "Te2-", 0.1033296943], + ["Te2-", "Ta4+", 0.1960884788], + ["Ta4+", "Te2-", 0.1960884788], + ["Te2-", "Ta2+", 0.1051083244], + ["Ta2+", "Te2-", 0.1051083244], + ["Te2-", "W6+", 0.0937070393], + ["W6+", "Te2-", 0.0937070393], + ["Te2-", "W4+", 0.1254813363], + ["W4+", "Te2-", 0.1254813363], + ["Te2-", "W2+", 0.1721414887], + ["W2+", "Te2-", 0.1721414887], + ["Te2-", "W3+", 0.169838779], + ["W3+", "Te2-", 0.169838779], + ["Te2-", "W5+", 0.037044966], + ["W5+", "Te2-", 0.037044966], + ["Te2-", "Re5+", 0.3286306314], + ["Re5+", "Te2-", 0.3286306314], + ["Te2-", "Re3+", 0.107708009], + ["Re3+", "Te2-", 0.107708009], + ["Te2-", "Re6+", 0.1917658276], + ["Re6+", "Te2-", 0.1917658276], + ["Te2-", "Re2+", 0.2441851506], + ["Re2+", "Te2-", 0.2441851506], + ["Te2-", "Re4+", 0.2234858686], + ["Re4+", "Te2-", 0.2234858686], + ["Te2-", "Re7+", 0.2411650667], + ["Re7+", "Te2-", 0.2411650667], + ["Te2-", "Os7+", 0.0461807607], + ["Os7+", "Te2-", 0.0461807607], + ["Te2-", "Os6+", 0.3261396054], + ["Os6+", "Te2-", 0.3261396054], + ["Te2-", "Os5+", 0.0924052], + ["Os5+", "Te2-", 0.0924052], + ["Te2-", "Os2-", -0.0909461482], + ["Os2-", "Te2-", -0.0909461482], + ["Te2-", "Os3+", 0.1342402302], + ["Os3+", "Te2-", 0.1342402302], + ["Te2-", "Os4+", 0.2347291979], + ["Os4+", "Te2-", 0.2347291979], + ["Te2-", "Os8+", 0.1712830977], + ["Os8+", "Te2-", 0.1712830977], + ["Te2-", "Os2+", 0.0753932414], + ["Os2+", "Te2-", 0.0753932414], + ["Te2-", "Ir3+", 0.1186311016], + ["Ir3+", "Te2-", 0.1186311016], + ["Te2-", "Ir4+", 0.1911717721], + ["Ir4+", "Te2-", 0.1911717721], + ["Te2-", "Ir5+", 0.1026980783], + ["Ir5+", "Te2-", 0.1026980783], + ["Te2-", "Ir6+", 0.127786398], + ["Ir6+", "Te2-", 0.127786398], + ["Te2-", "Pt2+", 0.2478412675], + ["Pt2+", "Te2-", 0.2478412675], + ["Te2-", "Pt2-", 0.213390915], + ["Pt2-", "Te2-", 0.213390915], + ["Te2-", "Pt4+", 0.0501671176], + ["Pt4+", "Te2-", 0.0501671176], + ["Te2-", "Pt3+", 0.140931889], + ["Pt3+", "Te2-", 0.140931889], + ["Te2-", "Pt5+", 0.0241208536], + ["Pt5+", "Te2-", 0.0241208536], + ["Te2-", "Pt6+", 0.0773887158], + 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0.0664590742], + ["Er3+", "K1+", 0.2857989728], + ["K1+", "Er3+", 0.2857989728], + ["Er3+", "Sc1+", 0.2890919694], + ["Sc1+", "Er3+", 0.2890919694], + ["Er3+", "Mn1+", 0.4333022694], + ["Mn1+", "Er3+", 0.4333022694], + ["Er3+", "Fe1+", 0.1725867674], + ["Fe1+", "Er3+", 0.1725867674], + ["Er3+", "Co1+", 0.1876370535], + ["Co1+", "Er3+", 0.1876370535], + ["Er3+", "Ni1+", 0.3238764131], + ["Ni1+", "Er3+", 0.3238764131], + ["Er3+", "Cu1+", 0.459371895], + ["Cu1+", "Er3+", 0.459371895], + ["Er3+", "Ga1+", 0.2097480296], + ["Ga1+", "Er3+", 0.2097480296], + ["Er3+", "As1-", 0.1235233346], + ["As1-", "Er3+", 0.1235233346], + ["Er3+", "As1+", 0.3524144132], + ["As1+", "Er3+", 0.3524144132], + ["Er3+", "Se1-", -0.0061016854], + ["Se1-", "Er3+", -0.0061016854], + ["Er3+", "Se1+", 0.0165970026], + ["Se1+", "Er3+", 0.0165970026], + ["Er3+", "Br1-", 0.0321329706], + ["Br1-", "Er3+", 0.0321329706], + ["Er3+", "Br1+", 0.0554101241], + ["Br1+", "Er3+", 0.0554101241], + ["Er3+", "Rb1+", 0.2080979041], + ["Rb1+", "Er3+", 0.2080979041], + ["Er3+", "Y1+", 0.3559322587], + ["Y1+", "Er3+", 0.3559322587], + ["Er3+", "Zr1+", 0.3728464013], + ["Zr1+", "Er3+", 0.3728464013], + ["Er3+", "Nb1+", 0.4136328126], + ["Nb1+", "Er3+", 0.4136328126], + ["Er3+", "Tc1-", 0.059862499], + ["Tc1-", "Er3+", 0.059862499], + ["Er3+", "Tc1+", 0.184993413], + ["Tc1+", "Er3+", 0.184993413], + ["Er3+", "Rh1+", 0.4119045364], + ["Rh1+", "Er3+", 0.4119045364], + ["Er3+", "Ag1+", 0.4796120774], + ["Ag1+", "Er3+", 0.4796120774], + ["Er3+", "In1+", 0.1899999887], + ["In1+", "Er3+", 0.1899999887], + ["Er3+", "Sb1-", -0.1164477397], + ["Sb1-", "Er3+", -0.1164477397], + ["Er3+", "Sb1+", 0.1933718986], + ["Sb1+", "Er3+", 0.1933718986], + ["Er3+", "Te1-", 0.1111603884], + ["Te1-", "Er3+", 0.1111603884], + ["Er3+", "Te1+", 0.0227302364], + ["Te1+", "Er3+", 0.0227302364], + ["Er3+", "I1-", 0.0463946918], + ["I1-", "Er3+", 0.0463946918], + ["Er3+", "I1+", -0.0266310982], + ["I1+", "Er3+", -0.0266310982], + ["Er3+", "Cs1+", 0.2535167177], + ["Cs1+", "Er3+", 0.2535167177], + ["Er3+", "La1+", 0.2644667195], + ["La1+", "Er3+", 0.2644667195], + ["Er3+", "Tb1+", 0.2179993518], + ["Tb1+", "Er3+", 0.2179993518], + ["Er3+", "Ta1+", 0.4155394586], + ["Ta1+", "Er3+", 0.4155394586], + ["Er3+", "Os1-", 0.2282897787], + ["Os1-", "Er3+", 0.2282897787], + ["Er3+", "Os1+", -0.0671472372], + ["Os1+", "Er3+", -0.0671472372], + ["Er3+", "Pt1-", 0.1761260499], + ["Pt1-", "Er3+", 0.1761260499], + ["Er3+", "Pt1+", 0.2991030352], + ["Pt1+", "Er3+", 0.2991030352], + ["Er3+", "Au1-", -0.0366827712], + ["Au1-", "Er3+", -0.0366827712], + ["Er3+", "Au1+", 0.1882773167], + ["Au1+", "Er3+", 0.1882773167], + ["Er3+", "Hg1+", 0.1136026326], + ["Hg1+", "Er3+", 0.1136026326], + ["Er3+", "Tl1+", 0.3548576275], + ["Tl1+", "Er3+", 0.3548576275], + ["Er3+", "Bi1+", 0.1169227963], + ["Bi1+", "Er3+", 0.1169227963], + ["Tm3+", "Tm3+", 1.0], + ["Tm3+", "Tm2+", 0.3468793269], + ["Tm2+", "Tm3+", 0.3468793269], + ["Tm3+", "Yb3+", 0.6068998563], + 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0.3512831604], + ["Re5+", "Tm3+", 0.3512831604], + ["Tm3+", "Re3+", 0.2782884974], + ["Re3+", "Tm3+", 0.2782884974], + ["Tm3+", "Re6+", -0.005734785], + ["Re6+", "Tm3+", -0.005734785], + ["Tm3+", "Re2+", 0.1525762131], + ["Re2+", "Tm3+", 0.1525762131], + ["Tm3+", "Re4+", 0.2701206295], + ["Re4+", "Tm3+", 0.2701206295], + ["Tm3+", "Re7+", 0.3861741778], + ["Re7+", "Tm3+", 0.3861741778], + ["Tm3+", "Os7+", 0.0021271469], + ["Os7+", "Tm3+", 0.0021271469], + ["Tm3+", "Os6+", 0.109933876], + ["Os6+", "Tm3+", 0.109933876], + ["Tm3+", "Os5+", 0.1297487125], + ["Os5+", "Tm3+", 0.1297487125], + ["Tm3+", "Os2-", 0.0510009135], + ["Os2-", "Tm3+", 0.0510009135], + ["Tm3+", "Os3+", -0.0817250529], + ["Os3+", "Tm3+", -0.0817250529], + ["Tm3+", "Os4+", 0.2060701823], + ["Os4+", "Tm3+", 0.2060701823], + ["Tm3+", "Os8+", 0.1123475201], + ["Os8+", "Tm3+", 0.1123475201], + ["Tm3+", "Os2+", 0.3116876346], + ["Os2+", "Tm3+", 0.3116876346], + ["Tm3+", "Ir3+", 0.0699406708], + ["Ir3+", "Tm3+", 0.0699406708], + ["Tm3+", "Ir4+", 0.3483981939], + ["Ir4+", "Tm3+", 0.3483981939], + ["Tm3+", "Ir5+", 0.2175730619], + ["Ir5+", "Tm3+", 0.2175730619], + ["Tm3+", "Ir6+", 0.1877884884], + ["Ir6+", "Tm3+", 0.1877884884], + ["Tm3+", "Pt2+", 0.2173594955], + ["Pt2+", "Tm3+", 0.2173594955], + ["Tm3+", "Pt2-", 0.0270808015], + ["Pt2-", "Tm3+", 0.0270808015], + ["Tm3+", "Pt4+", 0.135260088], + ["Pt4+", "Tm3+", 0.135260088], + ["Tm3+", "Pt3+", 0.3841018834], + ["Pt3+", "Tm3+", 0.3841018834], + ["Tm3+", "Pt5+", 0.1966699001], + ["Pt5+", "Tm3+", 0.1966699001], + ["Tm3+", "Pt6+", -0.0619775058], + ["Pt6+", "Tm3+", -0.0619775058], + ["Tm3+", "Au2+", 0.2544004168], + ["Au2+", "Tm3+", 0.2544004168], + ["Tm3+", "Au3+", 0.1064083133], + ["Au3+", "Tm3+", 0.1064083133], + ["Tm3+", "Au5+", 0.283732657], + ["Au5+", "Tm3+", 0.283732657], + ["Tm3+", "Au4+", -0.0168035929], + ["Au4+", "Tm3+", -0.0168035929], + ["Tm3+", "Hg2+", 0.3519367799], + ["Hg2+", "Tm3+", 0.3519367799], + ["Tm3+", "Tl3+", 0.3594652789], + ["Tl3+", 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0.3083639134], + ["Pa3+", "Tm3+", 0.3083639134], + ["Tm3+", "U6+", 0.3781622932], + ["U6+", "Tm3+", 0.3781622932], + ["Tm3+", "U4+", 0.424968875], + ["U4+", "Tm3+", 0.424968875], + ["Tm3+", "U3+", 0.2930070889], + ["U3+", "Tm3+", 0.2930070889], + ["Tm3+", "U2+", 0.294677317], + ["U2+", "Tm3+", 0.294677317], + ["Tm3+", "U5+", 0.2779248061], + ["U5+", "Tm3+", 0.2779248061], + ["Tm3+", "Np6+", 0.3099349976], + ["Np6+", "Tm3+", 0.3099349976], + ["Tm3+", "Np4+", 0.1364998253], + ["Np4+", "Tm3+", 0.1364998253], + ["Tm3+", "Np3+", 0.4907361311], + ["Np3+", "Tm3+", 0.4907361311], + ["Tm3+", "Np7+", 0.3233058936], + ["Np7+", "Tm3+", 0.3233058936], + ["Tm3+", "Np5+", 0.5705013048], + ["Np5+", "Tm3+", 0.5705013048], + ["Tm3+", "Pu7+", 0.3507582294], + ["Pu7+", "Tm3+", 0.3507582294], + ["Tm3+", "Pu6+", 0.3387453808], + ["Pu6+", "Tm3+", 0.3387453808], + ["Tm3+", "Pu3+", 0.5063123231], + ["Pu3+", "Tm3+", 0.5063123231], + ["Tm3+", "Pu4+", 0.2872871013], + ["Pu4+", "Tm3+", 0.2872871013], + ["Tm3+", 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0.0005885448], + ["Os7+", "Se1-", 0.037868451], + ["Se1-", "Os7+", 0.037868451], + ["Os7+", "Se1+", 0.0926722083], + ["Se1+", "Os7+", 0.0926722083], + ["Os7+", "Br1-", 0.1203390153], + ["Br1-", "Os7+", 0.1203390153], + ["Os7+", "Br1+", 0.4520640938], + ["Br1+", "Os7+", 0.4520640938], + ["Os7+", "Rb1+", 0.2002745432], + ["Rb1+", "Os7+", 0.2002745432], + ["Os7+", "Y1+", 0.0146027514], + ["Y1+", "Os7+", 0.0146027514], + ["Os7+", "Zr1+", -0.16480182], + ["Zr1+", "Os7+", -0.16480182], + ["Os7+", "Nb1+", -0.0575008641], + ["Nb1+", "Os7+", -0.0575008641], + ["Os7+", "Tc1-", -0.122372603], + ["Tc1-", "Os7+", -0.122372603], + ["Os7+", "Tc1+", 0.0880612614], + ["Tc1+", "Os7+", 0.0880612614], + ["Os7+", "Rh1+", -0.2165248663], + ["Rh1+", "Os7+", -0.2165248663], + ["Os7+", "Ag1+", 0.0505637636], + ["Ag1+", "Os7+", 0.0505637636], + ["Os7+", "In1+", -0.0056510289], + ["In1+", "Os7+", -0.0056510289], + ["Os7+", "Sb1-", 0.0035254466], + ["Sb1-", "Os7+", 0.0035254466], + ["Os7+", "Sb1+", 0.2416231569], 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0.2088787328], + ["Os6+", "Y1+", 0.0315720907], + ["Y1+", "Os6+", 0.0315720907], + ["Os6+", "Zr1+", 0.0104587514], + ["Zr1+", "Os6+", 0.0104587514], + ["Os6+", "Nb1+", 0.1699200272], + ["Nb1+", "Os6+", 0.1699200272], + ["Os6+", "Tc1-", 0.1093085891], + ["Tc1-", "Os6+", 0.1093085891], + ["Os6+", "Tc1+", 0.0072987587], + ["Tc1+", "Os6+", 0.0072987587], + ["Os6+", "Rh1+", 0.0019608056], + ["Rh1+", "Os6+", 0.0019608056], + ["Os6+", "Ag1+", 0.0995225504], + ["Ag1+", "Os6+", 0.0995225504], + ["Os6+", "In1+", 0.2102159423], + ["In1+", "Os6+", 0.2102159423], + ["Os6+", "Sb1-", -0.0892775812], + ["Sb1-", "Os6+", -0.0892775812], + ["Os6+", "Sb1+", 0.2365985503], + ["Sb1+", "Os6+", 0.2365985503], + ["Os6+", "Te1-", 0.1881487141], + ["Te1-", "Os6+", 0.1881487141], + ["Os6+", "Te1+", 0.2027804176], + ["Te1+", "Os6+", 0.2027804176], + ["Os6+", "I1-", -0.0326573878], + ["I1-", "Os6+", -0.0326573878], + ["Os6+", "I1+", 0.5112822615], + ["I1+", "Os6+", 0.5112822615], + ["Os6+", "Cs1+", 0.174218868], + 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0.2517751346], + ["Th4+", "Os5+", 0.2517751346], + ["Os5+", "Th3+", 0.1587838518], + ["Th3+", "Os5+", 0.1587838518], + ["Os5+", "Pa4+", 0.0454854911], + ["Pa4+", "Os5+", 0.0454854911], + ["Os5+", "Pa5+", 0.1032203798], + ["Pa5+", "Os5+", 0.1032203798], + ["Os5+", "Pa3+", 0.0624204646], + ["Pa3+", "Os5+", 0.0624204646], + ["Os5+", "U6+", 0.1069765843], + ["U6+", "Os5+", 0.1069765843], + ["Os5+", "U4+", 0.1644737426], + ["U4+", "Os5+", 0.1644737426], + ["Os5+", "U3+", 0.1731550025], + ["U3+", "Os5+", 0.1731550025], + ["Os5+", "U2+", 0.0954047142], + ["U2+", "Os5+", 0.0954047142], + ["Os5+", "U5+", 0.1701603202], + ["U5+", "Os5+", 0.1701603202], + ["Os5+", "Np6+", 0.322993819], + ["Np6+", "Os5+", 0.322993819], + ["Os5+", "Np4+", 0.2034859581], + ["Np4+", "Os5+", 0.2034859581], + ["Os5+", "Np3+", 0.117733961], + ["Np3+", "Os5+", 0.117733961], + ["Os5+", "Np7+", 0.1996603982], + ["Np7+", "Os5+", 0.1996603982], + ["Os5+", "Np5+", 0.3617015581], + ["Np5+", "Os5+", 0.3617015581], + ["Os5+", 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["S1-", "Os8+", 0.0766794887], + ["Os8+", "S1+", 0.1385210067], + ["S1+", "Os8+", 0.1385210067], + ["Os8+", "Cl1-", 0.1380746239], + ["Cl1-", "Os8+", 0.1380746239], + ["Os8+", "K1+", 0.1689115962], + ["K1+", "Os8+", 0.1689115962], + ["Os8+", "Sc1+", 0.1357489098], + ["Sc1+", "Os8+", 0.1357489098], + ["Os8+", "Mn1+", 0.0356506632], + ["Mn1+", "Os8+", 0.0356506632], + ["Os8+", "Fe1+", -0.072637477], + ["Fe1+", "Os8+", -0.072637477], + ["Os8+", "Co1+", 0.0236697876], + ["Co1+", "Os8+", 0.0236697876], + ["Os8+", "Ni1+", -0.0507979264], + ["Ni1+", "Os8+", -0.0507979264], + ["Os8+", "Cu1+", 0.0858843158], + ["Cu1+", "Os8+", 0.0858843158], + ["Os8+", "Ga1+", 0.1924352083], + ["Ga1+", "Os8+", 0.1924352083], + ["Os8+", "As1-", -0.008247486], + ["As1-", "Os8+", -0.008247486], + ["Os8+", "As1+", 0.0800091996], + ["As1+", "Os8+", 0.0800091996], + ["Os8+", "Se1-", 0.0687445532], + ["Se1-", "Os8+", 0.0687445532], + ["Os8+", "Se1+", 0.2635376027], + ["Se1+", "Os8+", 0.2635376027], + ["Os8+", "Br1-", 0.0877790264], + ["Br1-", "Os8+", 0.0877790264], + ["Os8+", "Br1+", 0.284602635], + ["Br1+", "Os8+", 0.284602635], + ["Os8+", "Rb1+", 0.2944051805], + ["Rb1+", "Os8+", 0.2944051805], + ["Os8+", "Y1+", -0.138769348], + ["Y1+", "Os8+", -0.138769348], + ["Os8+", "Zr1+", -0.1168375789], + ["Zr1+", "Os8+", -0.1168375789], + ["Os8+", "Nb1+", 0.0930184226], + ["Nb1+", "Os8+", 0.0930184226], + ["Os8+", "Tc1-", 0.1256562909], + ["Tc1-", "Os8+", 0.1256562909], + ["Os8+", "Tc1+", 0.1975124374], + ["Tc1+", "Os8+", 0.1975124374], + ["Os8+", "Rh1+", 0.0958293814], + ["Rh1+", "Os8+", 0.0958293814], + ["Os8+", "Ag1+", 0.1937823382], + ["Ag1+", "Os8+", 0.1937823382], + ["Os8+", "In1+", 0.1903058228], + ["In1+", "Os8+", 0.1903058228], + ["Os8+", "Sb1-", 0.1082807396], + ["Sb1-", "Os8+", 0.1082807396], + ["Os8+", "Sb1+", 0.0831961173], + ["Sb1+", "Os8+", 0.0831961173], + ["Os8+", "Te1-", 0.1199370651], + ["Te1-", "Os8+", 0.1199370651], + ["Os8+", "Te1+", 0.3847283492], + ["Te1+", "Os8+", 0.3847283492], + ["Os8+", "I1-", -0.0248958052], + ["I1-", "Os8+", -0.0248958052], + ["Os8+", "I1+", 0.2904912599], + ["I1+", "Os8+", 0.2904912599], + ["Os8+", "Cs1+", 0.2056987854], + ["Cs1+", "Os8+", 0.2056987854], + ["Os8+", "La1+", 0.0056256635], + ["La1+", "Os8+", 0.0056256635], + ["Os8+", "Tb1+", 0.064818459], + ["Tb1+", "Os8+", 0.064818459], + ["Os8+", "Ta1+", -0.0395956048], + ["Ta1+", "Os8+", -0.0395956048], + ["Os8+", "Os1-", 0.0688362067], + ["Os1-", "Os8+", 0.0688362067], + ["Os8+", "Os1+", 0.4049697913], + ["Os1+", "Os8+", 0.4049697913], + ["Os8+", "Pt1-", -0.0573473059], + ["Pt1-", "Os8+", -0.0573473059], + ["Os8+", "Pt1+", 0.2270679878], + ["Pt1+", "Os8+", 0.2270679878], + ["Os8+", "Au1-", 0.1016757881], + ["Au1-", "Os8+", 0.1016757881], + ["Os8+", "Au1+", 0.310782187], + ["Au1+", "Os8+", 0.310782187], + ["Os8+", "Hg1+", 0.2989057668], + ["Hg1+", "Os8+", 0.2989057668], + ["Os8+", "Tl1+", 0.2429876884], + ["Tl1+", "Os8+", 0.2429876884], + ["Os8+", "Bi1+", 0.0224490606], + ["Bi1+", "Os8+", 0.0224490606], + ["Os2+", "Os2+", 1.0], + ["Os2+", "Ir3+", 0.0166692806], + ["Ir3+", "Os2+", 0.0166692806], + ["Os2+", "Ir4+", 0.2138732548], + ["Ir4+", "Os2+", 0.2138732548], + ["Os2+", "Ir5+", 0.2738101858], + ["Ir5+", "Os2+", 0.2738101858], + ["Os2+", "Ir6+", 0.2178638743], + ["Ir6+", "Os2+", 0.2178638743], + ["Os2+", "Pt2+", 0.2055943531], + ["Pt2+", "Os2+", 0.2055943531], + ["Os2+", "Pt2-", -0.0858376324], + ["Pt2-", "Os2+", -0.0858376324], + ["Os2+", "Pt4+", 0.1250032703], + ["Pt4+", "Os2+", 0.1250032703], + ["Os2+", "Pt3+", 0.215881287], + ["Pt3+", "Os2+", 0.215881287], + ["Os2+", "Pt5+", 0.1667029299], + ["Pt5+", "Os2+", 0.1667029299], + ["Os2+", "Pt6+", 0.2014486377], + ["Pt6+", "Os2+", 0.2014486377], + ["Os2+", "Au2+", 0.1886839776], + ["Au2+", "Os2+", 0.1886839776], + ["Os2+", "Au3+", 0.198854366], + ["Au3+", "Os2+", 0.198854366], + ["Os2+", "Au5+", 0.1394632631], + ["Au5+", "Os2+", 0.1394632631], + ["Os2+", "Au4+", -0.0577185798], + ["Au4+", "Os2+", -0.0577185798], + ["Os2+", "Hg2+", 0.2909518934], + ["Hg2+", "Os2+", 0.2909518934], + ["Os2+", "Tl3+", 0.2795578594], + ["Tl3+", "Os2+", 0.2795578594], + ["Os2+", "Tl2+", 0.0824896024], + ["Tl2+", "Os2+", 0.0824896024], + ["Os2+", "Pb2+", 0.164564657], + ["Pb2+", "Os2+", 0.164564657], + ["Os2+", "Pb3+", 0.1833858813], + ["Pb3+", "Os2+", 0.1833858813], + ["Os2+", "Pb4+", 0.2150707043], + ["Pb4+", "Os2+", 0.2150707043], + ["Os2+", "Bi3+", 0.2230059072], + ["Bi3+", "Os2+", 0.2230059072], + ["Os2+", "Bi5+", 0.1141622645], + ["Bi5+", "Os2+", 0.1141622645], + ["Os2+", "Bi2+", 0.2374081091], + ["Bi2+", "Os2+", 0.2374081091], + ["Os2+", "Bi3-", 0.0117776936], + ["Bi3-", "Os2+", 0.0117776936], + ["Os2+", "Bi4+", 0.0221518304], + ["Bi4+", "Os2+", 0.0221518304], + ["Os2+", "Ac3+", 0.0452003497], + ["Ac3+", "Os2+", 0.0452003497], + ["Os2+", "Th4+", 0.0550306317], + ["Th4+", "Os2+", 0.0550306317], + ["Os2+", "Th3+", 0.1032025388], + ["Th3+", "Os2+", 0.1032025388], + ["Os2+", "Pa4+", 0.3380859913], + ["Pa4+", "Os2+", 0.3380859913], + ["Os2+", "Pa5+", 0.1344165941], + ["Pa5+", "Os2+", 0.1344165941], + ["Os2+", "Pa3+", 0.0981715668], + ["Pa3+", "Os2+", 0.0981715668], + ["Os2+", "U6+", 0.2758483973], + ["U6+", "Os2+", 0.2758483973], + ["Os2+", "U4+", 0.0635110668], + ["U4+", "Os2+", 0.0635110668], + ["Os2+", "U3+", 0.0927413158], + ["U3+", "Os2+", 0.0927413158], + ["Os2+", "U2+", 0.1892934852], + ["U2+", "Os2+", 0.1892934852], + ["Os2+", "U5+", 0.2923355866], + ["U5+", "Os2+", 0.2923355866], + ["Os2+", "Np6+", 0.0947620945], + ["Np6+", "Os2+", 0.0947620945], + ["Os2+", "Np4+", 0.0558999107], + ["Np4+", "Os2+", 0.0558999107], + ["Os2+", "Np3+", 0.1360329825], + ["Np3+", "Os2+", 0.1360329825], + ["Os2+", "Np7+", 0.2688998137], + ["Np7+", "Os2+", 0.2688998137], + ["Os2+", "Np5+", 0.3188103813], + ["Np5+", "Os2+", 0.3188103813], + ["Os2+", "Pu7+", 0.2617036327], + ["Pu7+", "Os2+", 0.2617036327], + ["Os2+", "Pu6+", 0.2607000976], + ["Pu6+", "Os2+", 0.2607000976], + ["Os2+", "Pu3+", 0.1967705676], + ["Pu3+", "Os2+", 0.1967705676], + ["Os2+", "Pu4+", 0.2595791914], + ["Pu4+", "Os2+", 0.2595791914], + ["Os2+", "Pu5+", 0.2577427356], + ["Pu5+", "Os2+", 0.2577427356], + ["Os2+", "H1+", 0.2038271314], + ["H1+", "Os2+", 0.2038271314], + ["Os2+", "H1-", 0.0696358325], + ["H1-", "Os2+", 0.0696358325], + ["Os2+", "Li1+", 0.123131173], + ["Li1+", "Os2+", 0.123131173], + ["Os2+", "B1+", 0.2716118497], + ["B1+", "Os2+", 0.2716118497], + ["Os2+", "B1-", 0.0500131321], + ["B1-", "Os2+", 0.0500131321], + ["Os2+", "C1-", -0.0057478072], + ["C1-", "Os2+", -0.0057478072], + ["Os2+", "C1+", 0.1296059169], + ["C1+", "Os2+", 0.1296059169], + ["Os2+", "N1-", 0.0277901784], + ["N1-", "Os2+", 0.0277901784], + ["Os2+", "N1+", 0.0500092618], + ["N1+", "Os2+", 0.0500092618], + ["Os2+", "O1-", -0.0287085632], + ["O1-", "Os2+", -0.0287085632], + ["Os2+", "F1-", 0.0011065727], + ["F1-", "Os2+", 0.0011065727], + ["Os2+", "Na1+", 0.3046094318], + ["Na1+", "Os2+", 0.3046094318], + ["Os2+", "Si1-", 0.0871190122], + ["Si1-", "Os2+", 0.0871190122], + ["Os2+", "P1+", 0.0170862902], + ["P1+", "Os2+", 0.0170862902], + ["Os2+", "P1-", -0.0525273743], + ["P1-", "Os2+", -0.0525273743], + ["Os2+", "S1-", -0.1298215735], + ["S1-", "Os2+", -0.1298215735], + ["Os2+", "S1+", 0.218719308], + ["S1+", "Os2+", 0.218719308], + ["Os2+", "Cl1-", -0.0638141348], + ["Cl1-", "Os2+", -0.0638141348], + ["Os2+", "K1+", 0.1728896612], + ["K1+", "Os2+", 0.1728896612], + ["Os2+", "Sc1+", 0.2899324837], + ["Sc1+", "Os2+", 0.2899324837], + ["Os2+", "Mn1+", 0.2612885462], + ["Mn1+", "Os2+", 0.2612885462], + ["Os2+", "Fe1+", 0.124289603], + ["Fe1+", "Os2+", 0.124289603], + ["Os2+", "Co1+", 0.2643777], + ["Co1+", "Os2+", 0.2643777], + ["Os2+", "Ni1+", 0.248975204], + ["Ni1+", "Os2+", 0.248975204], + ["Os2+", "Cu1+", 0.2375035945], + ["Cu1+", "Os2+", 0.2375035945], + ["Os2+", "Ga1+", 0.104780546], + ["Ga1+", "Os2+", 0.104780546], + ["Os2+", "As1-", -0.0253493176], + ["As1-", "Os2+", -0.0253493176], + ["Os2+", "As1+", 0.1420913392], + ["As1+", "Os2+", 0.1420913392], + ["Os2+", "Se1-", -0.0832140934], + ["Se1-", "Os2+", -0.0832140934], + ["Os2+", "Se1+", 0.2729937092], + ["Se1+", "Os2+", 0.2729937092], + ["Os2+", "Br1-", -0.0456399159], + ["Br1-", "Os2+", -0.0456399159], + ["Os2+", "Br1+", 0.1953681375], + ["Br1+", "Os2+", 0.1953681375], + ["Os2+", "Rb1+", 0.3229057089], + ["Rb1+", "Os2+", 0.3229057089], + ["Os2+", "Y1+", 0.1902532661], + ["Y1+", "Os2+", 0.1902532661], + ["Os2+", "Zr1+", 0.1821862403], + ["Zr1+", "Os2+", 0.1821862403], + ["Os2+", "Nb1+", 0.1910470271], + ["Nb1+", "Os2+", 0.1910470271], + ["Os2+", "Tc1-", -0.0197260059], + ["Tc1-", "Os2+", -0.0197260059], + ["Os2+", "Tc1+", 0.0189962149], + ["Tc1+", "Os2+", 0.0189962149], + ["Os2+", "Rh1+", 0.2040539382], + ["Rh1+", "Os2+", 0.2040539382], + ["Os2+", "Ag1+", 0.0705127333], + ["Ag1+", "Os2+", 0.0705127333], + ["Os2+", "In1+", 0.1763184781], + ["In1+", "Os2+", 0.1763184781], + ["Os2+", "Sb1-", -0.0291594621], + ["Sb1-", "Os2+", -0.0291594621], + ["Os2+", "Sb1+", -0.1641507323], + ["Sb1+", "Os2+", -0.1641507323], + ["Os2+", "Te1-", -0.015155513], + ["Te1-", "Os2+", -0.015155513], + ["Os2+", "Te1+", 0.1156268917], + ["Te1+", "Os2+", 0.1156268917], + ["Os2+", "I1-", -0.0994429256], + ["I1-", "Os2+", -0.0994429256], + ["Os2+", "I1+", 0.1489229533], + ["I1+", "Os2+", 0.1489229533], + ["Os2+", "Cs1+", 0.2045496414], + ["Cs1+", "Os2+", 0.2045496414], + ["Os2+", "La1+", 0.2830955415], + ["La1+", "Os2+", 0.2830955415], + ["Os2+", "Tb1+", 0.2311154321], + ["Tb1+", "Os2+", 0.2311154321], + ["Os2+", "Ta1+", 0.1372614266], + ["Ta1+", "Os2+", 0.1372614266], + ["Os2+", "Os1-", 0.0764121242], + ["Os1-", "Os2+", 0.0764121242], + ["Os2+", "Os1+", 0.1679448544], + ["Os1+", "Os2+", 0.1679448544], + ["Os2+", "Pt1-", -0.1322968998], + ["Pt1-", "Os2+", -0.1322968998], + ["Os2+", "Pt1+", 0.1519687213], + ["Pt1+", "Os2+", 0.1519687213], + ["Os2+", "Au1-", -0.0902192688], + ["Au1-", "Os2+", -0.0902192688], + ["Os2+", "Au1+", 0.1388426766], + ["Au1+", "Os2+", 0.1388426766], + ["Os2+", "Hg1+", 0.2750418327], + ["Hg1+", "Os2+", 0.2750418327], + ["Os2+", "Tl1+", 0.0676545893], + ["Tl1+", "Os2+", 0.0676545893], + ["Os2+", "Bi1+", 0.3388487835], + ["Bi1+", "Os2+", 0.3388487835], + ["Ir3+", "Ir3+", 1.0], + ["Ir3+", "Ir4+", 0.0807284139], + ["Ir4+", "Ir3+", 0.0807284139], + ["Ir3+", "Ir5+", 0.0596084562], + ["Ir5+", "Ir3+", 0.0596084562], + ["Ir3+", "Ir6+", 0.1249306477], + ["Ir6+", "Ir3+", 0.1249306477], + ["Ir3+", "Pt2+", 0.2939963337], + ["Pt2+", "Ir3+", 0.2939963337], + ["Ir3+", "Pt2-", 0.1255572791], + ["Pt2-", "Ir3+", 0.1255572791], + ["Ir3+", "Pt4+", 0.3304804242], + ["Pt4+", "Ir3+", 0.3304804242], + ["Ir3+", "Pt3+", 0.0166150807], + ["Pt3+", "Ir3+", 0.0166150807], + ["Ir3+", "Pt5+", 0.2280504517], + ["Pt5+", "Ir3+", 0.2280504517], + ["Ir3+", "Pt6+", 0.2644929729], + ["Pt6+", "Ir3+", 0.2644929729], + ["Ir3+", "Au2+", 0.0847638269], + ["Au2+", "Ir3+", 0.0847638269], + ["Ir3+", "Au3+", 0.2802438038], + ["Au3+", "Ir3+", 0.2802438038], + ["Ir3+", "Au5+", 0.2891862597], + ["Au5+", "Ir3+", 0.2891862597], + ["Ir3+", "Au4+", 0.1456376771], + ["Au4+", "Ir3+", 0.1456376771], + ["Ir3+", "Hg2+", 0.212467904], + ["Hg2+", "Ir3+", 0.212467904], + ["Ir3+", "Tl3+", 0.084300668], + ["Tl3+", "Ir3+", 0.084300668], + ["Ir3+", "Tl2+", 0.0773075388], + ["Tl2+", "Ir3+", 0.0773075388], + ["Ir3+", "Pb2+", 0.2382599802], + ["Pb2+", "Ir3+", 0.2382599802], + ["Ir3+", "Pb3+", -0.0095295489], + ["Pb3+", "Ir3+", -0.0095295489], + ["Ir3+", "Pb4+", -0.0630969601], + ["Pb4+", "Ir3+", -0.0630969601], + ["Ir3+", "Bi3+", 0.1045069703], + ["Bi3+", "Ir3+", 0.1045069703], + ["Ir3+", "Bi5+", 0.0282073694], + ["Bi5+", "Ir3+", 0.0282073694], + ["Ir3+", "Bi2+", -0.1231150881], + ["Bi2+", "Ir3+", -0.1231150881], + ["Ir3+", "Bi3-", 0.0016974521], + ["Bi3-", "Ir3+", 0.0016974521], + ["Ir3+", "Bi4+", -0.1433821967], + ["Bi4+", "Ir3+", -0.1433821967], + ["Ir3+", "Ac3+", 0.1982890829], + ["Ac3+", "Ir3+", 0.1982890829], + ["Ir3+", "Th4+", 0.0686309083], + ["Th4+", "Ir3+", 0.0686309083], + ["Ir3+", "Th3+", 0.217905342], + ["Th3+", "Ir3+", 0.217905342], + ["Ir3+", "Pa4+", 0.0925569386], + ["Pa4+", "Ir3+", 0.0925569386], + ["Ir3+", "Pa5+", 0.0055262623], + ["Pa5+", "Ir3+", 0.0055262623], + ["Ir3+", "Pa3+", 0.3510821849], + ["Pa3+", "Ir3+", 0.3510821849], + ["Ir3+", "U6+", -0.1599211648], + ["U6+", "Ir3+", -0.1599211648], + ["Ir3+", "U4+", 0.1370904203], + ["U4+", "Ir3+", 0.1370904203], + ["Ir3+", "U3+", 0.2861788502], + ["U3+", "Ir3+", 0.2861788502], + ["Ir3+", "U2+", 0.2583632689], + ["U2+", "Ir3+", 0.2583632689], + ["Ir3+", "U5+", -0.0354477404], + ["U5+", "Ir3+", -0.0354477404], + ["Ir3+", "Np6+", 0.0605599147], + ["Np6+", "Ir3+", 0.0605599147], + ["Ir3+", "Np4+", 0.2020659123], + ["Np4+", "Ir3+", 0.2020659123], + ["Ir3+", "Np3+", 0.3294702941], + ["Np3+", "Ir3+", 0.3294702941], + ["Ir3+", "Np7+", -0.0326652766], + ["Np7+", "Ir3+", -0.0326652766], + ["Ir3+", "Np5+", 0.1594636395], + ["Np5+", "Ir3+", 0.1594636395], + ["Ir3+", "Pu7+", -0.1884732728], + ["Pu7+", "Ir3+", -0.1884732728], + ["Ir3+", "Pu6+", 0.1223782486], + ["Pu6+", "Ir3+", 0.1223782486], + ["Ir3+", "Pu3+", 0.2395108833], + ["Pu3+", "Ir3+", 0.2395108833], + ["Ir3+", "Pu4+", 0.0688430799], + ["Pu4+", "Ir3+", 0.0688430799], + ["Ir3+", "Pu5+", -0.0023504552], + ["Pu5+", "Ir3+", -0.0023504552], + ["Ir3+", "H1+", 0.0092314824], + ["H1+", "Ir3+", 0.0092314824], + ["Ir3+", "H1-", 0.1689498066], + ["H1-", "Ir3+", 0.1689498066], + ["Ir3+", "Li1+", 0.1920803463], + ["Li1+", "Ir3+", 0.1920803463], + ["Ir3+", "B1+", 0.189433914], + ["B1+", "Ir3+", 0.189433914], + ["Ir3+", "B1-", -0.0976273056], + ["B1-", "Ir3+", -0.0976273056], + ["Ir3+", "C1-", 0.0869942751], + ["C1-", "Ir3+", 0.0869942751], + ["Ir3+", "C1+", 0.4297291], + ["C1+", "Ir3+", 0.4297291], + ["Ir3+", "N1-", 0.1575864401], + ["N1-", "Ir3+", 0.1575864401], + ["Ir3+", "N1+", 0.1759509129], + ["N1+", "Ir3+", 0.1759509129], + ["Ir3+", "O1-", -0.0297423148], + ["O1-", "Ir3+", -0.0297423148], + ["Ir3+", "F1-", -0.0388850345], + ["F1-", "Ir3+", -0.0388850345], + ["Ir3+", "Na1+", -0.0327740075], + ["Na1+", "Ir3+", -0.0327740075], + ["Ir3+", "Si1-", -0.0898154873], + ["Si1-", "Ir3+", -0.0898154873], + ["Ir3+", "P1+", -0.0099861594], + ["P1+", "Ir3+", -0.0099861594], + ["Ir3+", "P1-", 0.0218982697], + ["P1-", "Ir3+", 0.0218982697], + ["Ir3+", "S1-", 0.0281175652], + ["S1-", "Ir3+", 0.0281175652], + ["Ir3+", "S1+", 0.1644361149], + ["S1+", "Ir3+", 0.1644361149], + ["Ir3+", "Cl1-", 0.1409880021], + ["Cl1-", "Ir3+", 0.1409880021], + ["Ir3+", "K1+", 0.169019415], + ["K1+", "Ir3+", 0.169019415], + ["Ir3+", "Sc1+", 0.358235168], + ["Sc1+", "Ir3+", 0.358235168], + ["Ir3+", "Mn1+", 0.2556899172], + ["Mn1+", "Ir3+", 0.2556899172], + ["Ir3+", "Fe1+", 0.2247420428], + ["Fe1+", "Ir3+", 0.2247420428], + ["Ir3+", "Co1+", 0.2772103127], + ["Co1+", "Ir3+", 0.2772103127], + ["Ir3+", "Ni1+", 0.3813462428], + ["Ni1+", "Ir3+", 0.3813462428], + ["Ir3+", "Cu1+", 0.1386082421], + ["Cu1+", "Ir3+", 0.1386082421], + ["Ir3+", "Ga1+", 0.533335641], + ["Ga1+", "Ir3+", 0.533335641], + ["Ir3+", "As1-", 0.0724438288], + ["As1-", "Ir3+", 0.0724438288], + ["Ir3+", "As1+", 0.0276589606], + ["As1+", "Ir3+", 0.0276589606], + ["Ir3+", "Se1-", -0.0111071018], + ["Se1-", "Ir3+", -0.0111071018], + ["Ir3+", "Se1+", 0.0951554417], + ["Se1+", "Ir3+", 0.0951554417], + ["Ir3+", "Br1-", 0.0863975822], + ["Br1-", "Ir3+", 0.0863975822], + ["Ir3+", "Br1+", 0.2181053629], + ["Br1+", "Ir3+", 0.2181053629], + ["Ir3+", "Rb1+", 0.1765355142], + ["Rb1+", "Ir3+", 0.1765355142], + ["Ir3+", "Y1+", 0.2202221687], + ["Y1+", "Ir3+", 0.2202221687], + ["Ir3+", "Zr1+", 0.3545014566], + ["Zr1+", "Ir3+", 0.3545014566], + ["Ir3+", "Nb1+", 0.3034221262], + ["Nb1+", "Ir3+", 0.3034221262], + ["Ir3+", "Tc1-", 0.2054186824], + ["Tc1-", "Ir3+", 0.2054186824], + ["Ir3+", "Tc1+", 0.2828434314], + ["Tc1+", "Ir3+", 0.2828434314], + ["Ir3+", "Rh1+", 0.3103107727], + ["Rh1+", "Ir3+", 0.3103107727], + ["Ir3+", "Ag1+", 0.2084365754], + ["Ag1+", "Ir3+", 0.2084365754], + ["Ir3+", "In1+", 0.2499348163], + ["In1+", "Ir3+", 0.2499348163], + ["Ir3+", "Sb1-", 0.0317922455], + ["Sb1-", "Ir3+", 0.0317922455], + ["Ir3+", "Sb1+", 0.0228397806], + ["Sb1+", "Ir3+", 0.0228397806], + ["Ir3+", "Te1-", -0.0384342208], + ["Te1-", "Ir3+", -0.0384342208], + ["Ir3+", "Te1+", 0.2354381443], + ["Te1+", "Ir3+", 0.2354381443], + ["Ir3+", "I1-", 0.0525715376], + ["I1-", "Ir3+", 0.0525715376], + ["Ir3+", "I1+", 0.2053728411], + ["I1+", "Ir3+", 0.2053728411], + ["Ir3+", "Cs1+", 0.2140812753], + ["Cs1+", "Ir3+", 0.2140812753], + ["Ir3+", "La1+", 0.1742936572], + ["La1+", "Ir3+", 0.1742936572], + ["Ir3+", "Tb1+", 0.2055582328], + ["Tb1+", "Ir3+", 0.2055582328], + ["Ir3+", "Ta1+", 0.255016293], + ["Ta1+", "Ir3+", 0.255016293], + ["Ir3+", "Os1-", 0.035033607], + ["Os1-", "Ir3+", 0.035033607], + ["Ir3+", "Os1+", 0.4058385353], + ["Os1+", "Ir3+", 0.4058385353], + ["Ir3+", "Pt1-", -0.0002924738], + ["Pt1-", "Ir3+", -0.0002924738], + ["Ir3+", "Pt1+", 0.2385299618], + ["Pt1+", "Ir3+", 0.2385299618], + ["Ir3+", "Au1-", -0.0146590809], + ["Au1-", "Ir3+", -0.0146590809], + ["Ir3+", "Au1+", 0.3692661283], + ["Au1+", "Ir3+", 0.3692661283], + ["Ir3+", "Hg1+", 0.187165763], + ["Hg1+", "Ir3+", 0.187165763], + ["Ir3+", "Tl1+", 0.2411731891], + ["Tl1+", "Ir3+", 0.2411731891], + ["Ir3+", "Bi1+", -0.109188192], + ["Bi1+", "Ir3+", -0.109188192], + ["Ir4+", "Ir4+", 1.0], + ["Ir4+", "Ir5+", 0.4380893502], + ["Ir5+", "Ir4+", 0.4380893502], + ["Ir4+", "Ir6+", 0.2461117351], + ["Ir6+", "Ir4+", 0.2461117351], + ["Ir4+", "Pt2+", 0.1889373153], + ["Pt2+", "Ir4+", 0.1889373153], + ["Ir4+", "Pt2-", -0.0048822396], + ["Pt2-", "Ir4+", -0.0048822396], + ["Ir4+", "Pt4+", 0.2337870672], + ["Pt4+", "Ir4+", 0.2337870672], + ["Ir4+", "Pt3+", 0.3251678975], + ["Pt3+", "Ir4+", 0.3251678975], + ["Ir4+", "Pt5+", 0.3414743058], + ["Pt5+", "Ir4+", 0.3414743058], + ["Ir4+", "Pt6+", 0.2161033574], + ["Pt6+", "Ir4+", 0.2161033574], + ["Ir4+", "Au2+", 0.0819976486], + ["Au2+", "Ir4+", 0.0819976486], + ["Ir4+", "Au3+", 0.1747717087], + ["Au3+", "Ir4+", 0.1747717087], + ["Ir4+", "Au5+", 0.1988698645], + ["Au5+", "Ir4+", 0.1988698645], + ["Ir4+", "Au4+", 0.0866951675], + ["Au4+", "Ir4+", 0.0866951675], + ["Ir4+", "Hg2+", 0.2789905292], + ["Hg2+", "Ir4+", 0.2789905292], + ["Ir4+", "Tl3+", 0.2776564797], + ["Tl3+", "Ir4+", 0.2776564797], + ["Ir4+", "Tl2+", 0.1225606857], + ["Tl2+", "Ir4+", 0.1225606857], + ["Ir4+", "Pb2+", 0.3345998302], + ["Pb2+", "Ir4+", 0.3345998302], + ["Ir4+", "Pb3+", 0.2564139786], + ["Pb3+", "Ir4+", 0.2564139786], + ["Ir4+", "Pb4+", 0.2765908599], + ["Pb4+", "Ir4+", 0.2765908599], + ["Ir4+", "Bi3+", 0.4687087626], + ["Bi3+", "Ir4+", 0.4687087626], + ["Ir4+", "Bi5+", 0.1799233593], + ["Bi5+", "Ir4+", 0.1799233593], + ["Ir4+", "Bi2+", 0.2419627472], + ["Bi2+", "Ir4+", 0.2419627472], + ["Ir4+", "Bi3-", -0.0964304123], + ["Bi3-", "Ir4+", -0.0964304123], + ["Ir4+", "Bi4+", 0.1900314026], + ["Bi4+", "Ir4+", 0.1900314026], + ["Ir4+", "Ac3+", 0.1376148838], + ["Ac3+", "Ir4+", 0.1376148838], + ["Ir4+", "Th4+", 0.2558443684], + ["Th4+", "Ir4+", 0.2558443684], + ["Ir4+", "Th3+", 0.2543758983], + ["Th3+", "Ir4+", 0.2543758983], + ["Ir4+", "Pa4+", 0.2478989508], + ["Pa4+", "Ir4+", 0.2478989508], + ["Ir4+", "Pa5+", 0.2420006643], + ["Pa5+", "Ir4+", 0.2420006643], + ["Ir4+", "Pa3+", 0.0989095216], + ["Pa3+", "Ir4+", 0.0989095216], + ["Ir4+", "U6+", 0.1982787687], + ["U6+", "Ir4+", 0.1982787687], + ["Ir4+", "U4+", 0.1422894793], + ["U4+", "Ir4+", 0.1422894793], + ["Ir4+", "U3+", 0.1288556774], + ["U3+", "Ir4+", 0.1288556774], + ["Ir4+", "U2+", 0.2387019948], + ["U2+", "Ir4+", 0.2387019948], + ["Ir4+", "U5+", 0.3626578231], + ["U5+", "Ir4+", 0.3626578231], + ["Ir4+", "Np6+", 0.2072522171], + ["Np6+", "Ir4+", 0.2072522171], + ["Ir4+", "Np4+", 0.1574482951], + ["Np4+", "Ir4+", 0.1574482951], + ["Ir4+", "Np3+", 0.3409088285], + ["Np3+", "Ir4+", 0.3409088285], + ["Ir4+", "Np7+", 0.3524366452], + ["Np7+", "Ir4+", 0.3524366452], + ["Ir4+", "Np5+", 0.4938961613], + ["Np5+", "Ir4+", 0.4938961613], + ["Ir4+", "Pu7+", 0.3832400475], + ["Pu7+", "Ir4+", 0.3832400475], + ["Ir4+", "Pu6+", 0.130269796], + ["Pu6+", "Ir4+", 0.130269796], + ["Ir4+", "Pu3+", 0.2358133384], + ["Pu3+", "Ir4+", 0.2358133384], + ["Ir4+", "Pu4+", 0.1237209001], + ["Pu4+", "Ir4+", 0.1237209001], + ["Ir4+", "Pu5+", 0.1488373503], + ["Pu5+", "Ir4+", 0.1488373503], + ["Ir4+", "H1+", 0.2444432469], + ["H1+", "Ir4+", 0.2444432469], + ["Ir4+", "H1-", -0.0887849307], + ["H1-", "Ir4+", -0.0887849307], + ["Ir4+", "Li1+", 0.357324542], + ["Li1+", "Ir4+", 0.357324542], + ["Ir4+", "B1+", 0.0194787143], + ["B1+", "Ir4+", 0.0194787143], + ["Ir4+", "B1-", -0.0302726704], + ["B1-", "Ir4+", -0.0302726704], + ["Ir4+", "C1-", 0.1690444135], + ["C1-", "Ir4+", 0.1690444135], + ["Ir4+", "C1+", 0.1254872189], + ["C1+", "Ir4+", 0.1254872189], + ["Ir4+", "N1-", 0.0807162395], + ["N1-", "Ir4+", 0.0807162395], + ["Ir4+", "N1+", 0.169655659], + ["N1+", "Ir4+", 0.169655659], + ["Ir4+", "O1-", 0.0597562385], + ["O1-", "Ir4+", 0.0597562385], + ["Ir4+", "F1-", -0.0444606054], + ["F1-", "Ir4+", -0.0444606054], + ["Ir4+", "Na1+", 0.487337002], + ["Na1+", "Ir4+", 0.487337002], + ["Ir4+", "Si1-", -0.0309370691], + ["Si1-", "Ir4+", -0.0309370691], + ["Ir4+", "P1+", 0.1749165927], + ["P1+", "Ir4+", 0.1749165927], + ["Ir4+", "P1-", 0.0110245582], + ["P1-", "Ir4+", 0.0110245582], + ["Ir4+", "S1-", 0.0066874087], + ["S1-", "Ir4+", 0.0066874087], + ["Ir4+", "S1+", 0.2713350852], + ["S1+", "Ir4+", 0.2713350852], + ["Ir4+", "Cl1-", 0.1751229111], + ["Cl1-", "Ir4+", 0.1751229111], + ["Ir4+", "K1+", 0.3944401673], + ["K1+", "Ir4+", 0.3944401673], + ["Ir4+", "Sc1+", 0.1020004561], + ["Sc1+", "Ir4+", 0.1020004561], + ["Ir4+", "Mn1+", 0.0208243267], + ["Mn1+", "Ir4+", 0.0208243267], + ["Ir4+", "Fe1+", -0.0468126932], + ["Fe1+", "Ir4+", -0.0468126932], + ["Ir4+", "Co1+", -0.0447686217], + ["Co1+", "Ir4+", -0.0447686217], + ["Ir4+", "Ni1+", 0.0223640181], + ["Ni1+", "Ir4+", 0.0223640181], + ["Ir4+", "Cu1+", 0.2153291051], + ["Cu1+", "Ir4+", 0.2153291051], + ["Ir4+", "Ga1+", -0.0717418635], + ["Ga1+", "Ir4+", -0.0717418635], + ["Ir4+", "As1-", 0.0025563662], + ["As1-", "Ir4+", 0.0025563662], + ["Ir4+", "As1+", 0.3625626616], + ["As1+", "Ir4+", 0.3625626616], + ["Ir4+", "Se1-", 0.0487785447], + ["Se1-", "Ir4+", 0.0487785447], + ["Ir4+", "Se1+", 0.2913117316], + ["Se1+", "Ir4+", 0.2913117316], + ["Ir4+", "Br1-", 0.1204693072], + ["Br1-", "Ir4+", 0.1204693072], + ["Ir4+", "Br1+", 0.1160584411], + ["Br1+", "Ir4+", 0.1160584411], + ["Ir4+", "Rb1+", 0.3456520233], + ["Rb1+", "Ir4+", 0.3456520233], + ["Ir4+", "Y1+", -0.04520617], + ["Y1+", "Ir4+", -0.04520617], + ["Ir4+", "Zr1+", -0.1094854593], + ["Zr1+", "Ir4+", -0.1094854593], + ["Ir4+", "Nb1+", 0.0478273663], + ["Nb1+", "Ir4+", 0.0478273663], + ["Ir4+", "Tc1-", -0.0443557474], + ["Tc1-", "Ir4+", -0.0443557474], + ["Ir4+", "Tc1+", 0.1529664731], + ["Tc1+", "Ir4+", 0.1529664731], + ["Ir4+", "Rh1+", 0.0003815775], + ["Rh1+", "Ir4+", 0.0003815775], + ["Ir4+", "Ag1+", 0.4013526042], + ["Ag1+", "Ir4+", 0.4013526042], + ["Ir4+", "In1+", 0.1419257665], + ["In1+", "Ir4+", 0.1419257665], + ["Ir4+", "Sb1-", 0.0314362859], + ["Sb1-", "Ir4+", 0.0314362859], + ["Ir4+", "Sb1+", 0.101489934], + ["Sb1+", "Ir4+", 0.101489934], + ["Ir4+", "Te1-", 0.1238728743], + ["Te1-", "Ir4+", 0.1238728743], + ["Ir4+", "Te1+", 0.2237498865], + ["Te1+", "Ir4+", 0.2237498865], + ["Ir4+", "I1-", 0.1069591216], + ["I1-", "Ir4+", 0.1069591216], + ["Ir4+", "I1+", 0.1174693282], + ["I1+", "Ir4+", 0.1174693282], + ["Ir4+", "Cs1+", 0.3319872142], + ["Cs1+", "Ir4+", 0.3319872142], + ["Ir4+", "La1+", -0.0019165715], + ["La1+", "Ir4+", -0.0019165715], + ["Ir4+", "Tb1+", 0.0932937656], + ["Tb1+", "Ir4+", 0.0932937656], + ["Ir4+", "Ta1+", 0.0966096972], + ["Ta1+", "Ir4+", 0.0966096972], + ["Ir4+", "Os1-", 0.0674027622], + ["Os1-", "Ir4+", 0.0674027622], + ["Ir4+", "Os1+", 0.1454266204], + ["Os1+", "Ir4+", 0.1454266204], + ["Ir4+", "Pt1-", 0.1323383401], + ["Pt1-", "Ir4+", 0.1323383401], + ["Ir4+", "Pt1+", 0.2771718754], + ["Pt1+", "Ir4+", 0.2771718754], + ["Ir4+", "Au1-", -0.1401235267], + ["Au1-", "Ir4+", -0.1401235267], + ["Ir4+", "Au1+", 0.2260797677], + ["Au1+", "Ir4+", 0.2260797677], + ["Ir4+", "Hg1+", 0.1502474283], + ["Hg1+", "Ir4+", 0.1502474283], + ["Ir4+", "Tl1+", 0.393056924], + ["Tl1+", "Ir4+", 0.393056924], + ["Ir4+", "Bi1+", 0.0801237175], + ["Bi1+", "Ir4+", 0.0801237175], + ["Ir5+", "Ir5+", 1.0], + ["Ir5+", "Ir6+", 0.2261529781], + ["Ir6+", "Ir5+", 0.2261529781], + ["Ir5+", "Pt2+", 0.2233721392], + ["Pt2+", "Ir5+", 0.2233721392], + ["Ir5+", "Pt2-", -0.0607730205], + ["Pt2-", "Ir5+", -0.0607730205], + ["Ir5+", "Pt4+", 0.1409672519], + ["Pt4+", "Ir5+", 0.1409672519], + ["Ir5+", "Pt3+", 0.1878049138], + ["Pt3+", "Ir5+", 0.1878049138], + ["Ir5+", "Pt5+", 0.2824105172], + ["Pt5+", "Ir5+", 0.2824105172], + ["Ir5+", "Pt6+", 0.2623663829], + ["Pt6+", "Ir5+", 0.2623663829], + ["Ir5+", "Au2+", 0.1332292509], + ["Au2+", "Ir5+", 0.1332292509], + ["Ir5+", "Au3+", 0.2825200387], + ["Au3+", "Ir5+", 0.2825200387], + ["Ir5+", "Au5+", 0.2132235457], + ["Au5+", "Ir5+", 0.2132235457], + ["Ir5+", "Au4+", 0.0366976148], + ["Au4+", "Ir5+", 0.0366976148], + ["Ir5+", "Hg2+", 0.3907532225], + ["Hg2+", "Ir5+", 0.3907532225], + ["Ir5+", "Tl3+", 0.170108271], + ["Tl3+", "Ir5+", 0.170108271], + ["Ir5+", "Tl2+", 0.0281448263], + ["Tl2+", "Ir5+", 0.0281448263], + ["Ir5+", "Pb2+", 0.2773433011], + ["Pb2+", "Ir5+", 0.2773433011], + ["Ir5+", "Pb3+", 0.0899936717], + ["Pb3+", "Ir5+", 0.0899936717], + ["Ir5+", "Pb4+", 0.234986319], + ["Pb4+", "Ir5+", 0.234986319], + ["Ir5+", "Bi3+", 0.3750476867], + ["Bi3+", "Ir5+", 0.3750476867], + ["Ir5+", "Bi5+", 0.1504659941], + ["Bi5+", "Ir5+", 0.1504659941], + ["Ir5+", "Bi2+", 0.3100879051], + ["Bi2+", "Ir5+", 0.3100879051], + ["Ir5+", "Bi3-", -0.0148776499], + ["Bi3-", "Ir5+", -0.0148776499], + ["Ir5+", "Bi4+", 0.1413217256], + ["Bi4+", "Ir5+", 0.1413217256], + ["Ir5+", "Ac3+", 0.0204653724], + ["Ac3+", "Ir5+", 0.0204653724], + ["Ir5+", "Th4+", 0.0792653892], + ["Th4+", "Ir5+", 0.0792653892], + ["Ir5+", "Th3+", 0.2277897201], + ["Th3+", "Ir5+", 0.2277897201], + ["Ir5+", "Pa4+", 0.279728911], + ["Pa4+", "Ir5+", 0.279728911], + ["Ir5+", "Pa5+", 0.1704805883], + ["Pa5+", "Ir5+", 0.1704805883], + ["Ir5+", "Pa3+", 0.0497739767], + ["Pa3+", "Ir5+", 0.0497739767], + ["Ir5+", "U6+", 0.1783131375], + ["U6+", "Ir5+", 0.1783131375], + ["Ir5+", "U4+", 0.1163962562], + ["U4+", "Ir5+", 0.1163962562], + ["Ir5+", "U3+", 0.1189467911], + ["U3+", "Ir5+", 0.1189467911], + ["Ir5+", "U2+", 0.2986529557], + ["U2+", "Ir5+", 0.2986529557], + ["Ir5+", "U5+", 0.3563790117], + ["U5+", "Ir5+", 0.3563790117], + ["Ir5+", "Np6+", 0.1051618045], + ["Np6+", "Ir5+", 0.1051618045], + ["Ir5+", "Np4+", 0.0847009448], + ["Np4+", "Ir5+", 0.0847009448], + ["Ir5+", "Np3+", 0.1894138271], + ["Np3+", "Ir5+", 0.1894138271], + ["Ir5+", "Np7+", 0.2268005208], + ["Np7+", "Ir5+", 0.2268005208], + ["Ir5+", "Np5+", 0.3114043532], + ["Np5+", "Ir5+", 0.3114043532], + ["Ir5+", "Pu7+", 0.2154525761], + ["Pu7+", "Ir5+", 0.2154525761], + ["Ir5+", "Pu6+", 0.2664320662], + ["Pu6+", "Ir5+", 0.2664320662], + ["Ir5+", "Pu3+", 0.3241877175], + ["Pu3+", "Ir5+", 0.3241877175], + ["Ir5+", "Pu4+", 0.2194670053], + ["Pu4+", "Ir5+", 0.2194670053], + ["Ir5+", "Pu5+", 0.3291218125], + ["Pu5+", "Ir5+", 0.3291218125], + ["Ir5+", "H1+", 0.3730520843], + ["H1+", "Ir5+", 0.3730520843], + ["Ir5+", "H1-", 0.0827305429], + ["H1-", "Ir5+", 0.0827305429], + ["Ir5+", "Li1+", 0.1603159553], + ["Li1+", "Ir5+", 0.1603159553], + ["Ir5+", "B1+", 0.0288065966], + ["B1+", "Ir5+", 0.0288065966], + ["Ir5+", "B1-", -0.0067748695], + ["B1-", "Ir5+", -0.0067748695], + ["Ir5+", "C1-", 0.1643686003], + ["C1-", "Ir5+", 0.1643686003], + ["Ir5+", "C1+", 0.0471904423], + ["C1+", "Ir5+", 0.0471904423], + ["Ir5+", "N1-", -0.0086577889], + ["N1-", "Ir5+", -0.0086577889], + ["Ir5+", "N1+", -0.0368109386], + ["N1+", "Ir5+", -0.0368109386], + ["Ir5+", "O1-", -0.0540710886], + ["O1-", "Ir5+", -0.0540710886], + ["Ir5+", "F1-", -0.0526270606], + ["F1-", "Ir5+", -0.0526270606], + ["Ir5+", "Na1+", 0.3779421867], + ["Na1+", "Ir5+", 0.3779421867], + ["Ir5+", "Si1-", -0.0089070683], + ["Si1-", "Ir5+", -0.0089070683], + ["Ir5+", "P1+", -0.0467038148], + ["P1+", "Ir5+", -0.0467038148], + ["Ir5+", "P1-", -0.1508020033], + ["P1-", "Ir5+", -0.1508020033], + ["Ir5+", "S1-", -0.0724930925], + ["S1-", "Ir5+", -0.0724930925], + ["Ir5+", "S1+", 0.2179725913], + ["S1+", "Ir5+", 0.2179725913], + ["Ir5+", "Cl1-", 0.0811560508], + ["Cl1-", "Ir5+", 0.0811560508], + ["Ir5+", "K1+", 0.320177782], + ["K1+", "Ir5+", 0.320177782], + ["Ir5+", "Sc1+", 0.2037165134], + ["Sc1+", "Ir5+", 0.2037165134], + ["Ir5+", "Mn1+", 0.0298523681], + ["Mn1+", "Ir5+", 0.0298523681], + ["Ir5+", "Fe1+", 0.2587674321], + ["Fe1+", "Ir5+", 0.2587674321], + ["Ir5+", "Co1+", 0.2740772507], + ["Co1+", "Ir5+", 0.2740772507], + ["Ir5+", "Ni1+", 0.193114692], + ["Ni1+", "Ir5+", 0.193114692], + ["Ir5+", "Cu1+", 0.2760898988], + ["Cu1+", "Ir5+", 0.2760898988], + ["Ir5+", "Ga1+", -0.0015690598], + ["Ga1+", "Ir5+", -0.0015690598], + ["Ir5+", "As1-", -0.1589215936], + ["As1-", "Ir5+", -0.1589215936], + ["Ir5+", "As1+", 0.172220152], + ["As1+", "Ir5+", 0.172220152], + ["Ir5+", "Se1-", -0.0683594549], + ["Se1-", "Ir5+", -0.0683594549], + ["Ir5+", "Se1+", 0.2249437453], + ["Se1+", "Ir5+", 0.2249437453], + ["Ir5+", "Br1-", 0.0319495115], + ["Br1-", "Ir5+", 0.0319495115], + ["Ir5+", "Br1+", 0.1422011465], + ["Br1+", "Ir5+", 0.1422011465], + ["Ir5+", "Rb1+", 0.273765735], + ["Rb1+", "Ir5+", 0.273765735], + ["Ir5+", "Y1+", 0.0902994182], + ["Y1+", "Ir5+", 0.0902994182], + ["Ir5+", "Zr1+", 0.0294603954], + ["Zr1+", "Ir5+", 0.0294603954], + ["Ir5+", "Nb1+", 0.2609963855], + ["Nb1+", "Ir5+", 0.2609963855], + ["Ir5+", "Tc1-", 0.0454672068], + ["Tc1-", "Ir5+", 0.0454672068], + ["Ir5+", "Tc1+", 0.2069579516], + ["Tc1+", "Ir5+", 0.2069579516], + ["Ir5+", "Rh1+", 0.1730183568], + ["Rh1+", "Ir5+", 0.1730183568], + ["Ir5+", "Ag1+", 0.321766854], + ["Ag1+", "Ir5+", 0.321766854], + ["Ir5+", "In1+", 0.1738554551], + ["In1+", "Ir5+", 0.1738554551], + ["Ir5+", "Sb1-", -0.1313019467], + ["Sb1-", "Ir5+", -0.1313019467], + ["Ir5+", "Sb1+", 0.1155815232], + ["Sb1+", "Ir5+", 0.1155815232], + ["Ir5+", "Te1-", 0.1164673384], + ["Te1-", "Ir5+", 0.1164673384], + ["Ir5+", "Te1+", 0.1041071264], + ["Te1+", "Ir5+", 0.1041071264], + ["Ir5+", "I1-", 0.0483833611], + ["I1-", "Ir5+", 0.0483833611], + ["Ir5+", "I1+", 0.1621411928], + ["I1+", "Ir5+", 0.1621411928], + ["Ir5+", "Cs1+", 0.4085331728], + ["Cs1+", "Ir5+", 0.4085331728], + ["Ir5+", "La1+", 0.1550822458], + ["La1+", "Ir5+", 0.1550822458], + ["Ir5+", "Tb1+", 0.1066266863], + ["Tb1+", "Ir5+", 0.1066266863], + ["Ir5+", "Ta1+", 0.2615948537], + ["Ta1+", "Ir5+", 0.2615948537], + ["Ir5+", "Os1-", 0.1445054493], + ["Os1-", "Ir5+", 0.1445054493], + ["Ir5+", "Os1+", -0.0183489936], + ["Os1+", "Ir5+", -0.0183489936], + ["Ir5+", "Pt1-", 0.0254692504], + ["Pt1-", "Ir5+", 0.0254692504], + ["Ir5+", "Pt1+", 0.2016013782], + ["Pt1+", "Ir5+", 0.2016013782], + ["Ir5+", "Au1-", -0.1306303791], + ["Au1-", "Ir5+", -0.1306303791], + ["Ir5+", "Au1+", 0.2290094438], + ["Au1+", "Ir5+", 0.2290094438], + ["Ir5+", "Hg1+", 0.1144507714], + ["Hg1+", "Ir5+", 0.1144507714], + ["Ir5+", "Tl1+", 0.2600847159], + ["Tl1+", "Ir5+", 0.2600847159], + ["Ir5+", "Bi1+", 0.3349602971], + ["Bi1+", "Ir5+", 0.3349602971], + ["Ir6+", "Ir6+", 1.0], + ["Ir6+", "Pt2+", 0.1126508544], + ["Pt2+", "Ir6+", 0.1126508544], + ["Ir6+", "Pt2-", -0.0057995077], + ["Pt2-", "Ir6+", -0.0057995077], + ["Ir6+", "Pt4+", 0.3260872777], + ["Pt4+", "Ir6+", 0.3260872777], + ["Ir6+", "Pt3+", 0.0793614228], + ["Pt3+", "Ir6+", 0.0793614228], + ["Ir6+", "Pt5+", 0.2531513345], + ["Pt5+", "Ir6+", 0.2531513345], + ["Ir6+", "Pt6+", 0.4488177706], + ["Pt6+", "Ir6+", 0.4488177706], + ["Ir6+", "Au2+", 0.2301813314], + ["Au2+", "Ir6+", 0.2301813314], + ["Ir6+", "Au3+", 0.3176529331], + ["Au3+", "Ir6+", 0.3176529331], + ["Ir6+", "Au5+", 0.2810997734], + ["Au5+", "Ir6+", 0.2810997734], + ["Ir6+", "Au4+", 0.3056387963], + ["Au4+", "Ir6+", 0.3056387963], + ["Ir6+", "Hg2+", 0.2602161372], + ["Hg2+", "Ir6+", 0.2602161372], + ["Ir6+", "Tl3+", 0.2458438102], + ["Tl3+", "Ir6+", 0.2458438102], + ["Ir6+", "Tl2+", 0.171905562], + ["Tl2+", "Ir6+", 0.171905562], + ["Ir6+", "Pb2+", 0.3385869529], + ["Pb2+", "Ir6+", 0.3385869529], + ["Ir6+", "Pb3+", 0.2770994979], + ["Pb3+", "Ir6+", 0.2770994979], + ["Ir6+", "Pb4+", 0.4040760079], + ["Pb4+", "Ir6+", 0.4040760079], + ["Ir6+", "Bi3+", 0.360847104], + ["Bi3+", "Ir6+", 0.360847104], + ["Ir6+", "Bi5+", 0.2293057492], + ["Bi5+", "Ir6+", 0.2293057492], + ["Ir6+", "Bi2+", 0.30253379], + ["Bi2+", "Ir6+", 0.30253379], + ["Ir6+", "Bi3-", -0.0290830447], + ["Bi3-", "Ir6+", -0.0290830447], + ["Ir6+", "Bi4+", 0.0451113424], + ["Bi4+", "Ir6+", 0.0451113424], + ["Ir6+", "Ac3+", 0.0375789441], + ["Ac3+", "Ir6+", 0.0375789441], + ["Ir6+", "Th4+", 0.2722228146], + ["Th4+", "Ir6+", 0.2722228146], + ["Ir6+", "Th3+", 0.1405864573], + ["Th3+", "Ir6+", 0.1405864573], + ["Ir6+", "Pa4+", 0.187617254], + ["Pa4+", "Ir6+", 0.187617254], + ["Ir6+", "Pa5+", 0.3787058541], + ["Pa5+", "Ir6+", 0.3787058541], + ["Ir6+", "Pa3+", -0.0892152858], + ["Pa3+", "Ir6+", -0.0892152858], + ["Ir6+", "U6+", 0.30809556], + ["U6+", "Ir6+", 0.30809556], + ["Ir6+", "U4+", 0.1554756609], + ["U4+", "Ir6+", 0.1554756609], + ["Ir6+", "U3+", -0.0930389851], + ["U3+", "Ir6+", -0.0930389851], + ["Ir6+", "U2+", 0.0458206737], + ["U2+", "Ir6+", 0.0458206737], + ["Ir6+", "U5+", 0.3048293672], + ["U5+", "Ir6+", 0.3048293672], + ["Ir6+", "Np6+", 0.1092052715], + ["Np6+", "Ir6+", 0.1092052715], + ["Ir6+", "Np4+", 0.119352554], + ["Np4+", "Ir6+", 0.119352554], + ["Ir6+", "Np3+", 0.1132523761], + ["Np3+", "Ir6+", 0.1132523761], + ["Ir6+", "Np7+", 0.2722846356], + ["Np7+", "Ir6+", 0.2722846356], + ["Ir6+", "Np5+", 0.2103621609], + ["Np5+", "Ir6+", 0.2103621609], + ["Ir6+", "Pu7+", 0.2437042437], + ["Pu7+", "Ir6+", 0.2437042437], + ["Ir6+", "Pu6+", 0.0975733497], + ["Pu6+", "Ir6+", 0.0975733497], + ["Ir6+", "Pu3+", 0.0881713897], + ["Pu3+", "Ir6+", 0.0881713897], + ["Ir6+", "Pu4+", 0.2446681905], + ["Pu4+", "Ir6+", 0.2446681905], + ["Ir6+", "Pu5+", 0.1710225961], + ["Pu5+", "Ir6+", 0.1710225961], + ["Ir6+", "H1+", 0.4165457636], + ["H1+", "Ir6+", 0.4165457636], + ["Ir6+", "H1-", -0.0074496674], + ["H1-", "Ir6+", -0.0074496674], + ["Ir6+", "Li1+", 0.2663129633], + ["Li1+", "Ir6+", 0.2663129633], + ["Ir6+", "B1+", 0.1119761342], + ["B1+", "Ir6+", 0.1119761342], + ["Ir6+", "B1-", 0.0449260791], + ["B1-", "Ir6+", 0.0449260791], + ["Ir6+", "C1-", 0.2797945237], + ["C1-", "Ir6+", 0.2797945237], + ["Ir6+", "C1+", 0.2876539396], + ["C1+", "Ir6+", 0.2876539396], + ["Ir6+", "N1-", 0.2579895216], + ["N1-", "Ir6+", 0.2579895216], + ["Ir6+", "N1+", 0.2229173242], + ["N1+", "Ir6+", 0.2229173242], + ["Ir6+", "O1-", 0.1919751895], + ["O1-", "Ir6+", 0.1919751895], + ["Ir6+", "F1-", 0.1558213714], + ["F1-", "Ir6+", 0.1558213714], + ["Ir6+", "Na1+", 0.3301448123], + ["Na1+", "Ir6+", 0.3301448123], + ["Ir6+", "Si1-", 0.0011128186], + ["Si1-", "Ir6+", 0.0011128186], + ["Ir6+", "P1+", 0.0910710631], + ["P1+", "Ir6+", 0.0910710631], + ["Ir6+", "P1-", 0.0161256034], + ["P1-", "Ir6+", 0.0161256034], + ["Ir6+", "S1-", 0.1199865776], + ["S1-", "Ir6+", 0.1199865776], + ["Ir6+", "S1+", 0.2279105027], + ["S1+", "Ir6+", 0.2279105027], + ["Ir6+", "Cl1-", 0.2132993478], + ["Cl1-", "Ir6+", 0.2132993478], + ["Ir6+", "K1+", 0.4030051839], + ["K1+", "Ir6+", 0.4030051839], + ["Ir6+", "Sc1+", 0.0192887816], + ["Sc1+", "Ir6+", 0.0192887816], + ["Ir6+", "Mn1+", 0.0414037106], + ["Mn1+", "Ir6+", 0.0414037106], + ["Ir6+", "Fe1+", -0.1298287377], + ["Fe1+", "Ir6+", -0.1298287377], + ["Ir6+", "Co1+", -0.1745443934], + ["Co1+", "Ir6+", -0.1745443934], + ["Ir6+", "Ni1+", -0.1648178413], + ["Ni1+", "Ir6+", -0.1648178413], + ["Ir6+", "Cu1+", 0.0992518339], + ["Cu1+", "Ir6+", 0.0992518339], + ["Ir6+", "Ga1+", 0.129877099], + ["Ga1+", "Ir6+", 0.129877099], + ["Ir6+", "As1-", -0.0020273648], + ["As1-", "Ir6+", -0.0020273648], + ["Ir6+", "As1+", 0.082247205], + ["As1+", "Ir6+", 0.082247205], + ["Ir6+", "Se1-", 0.2059316265], + ["Se1-", "Ir6+", 0.2059316265], + ["Ir6+", "Se1+", 0.3649095281], + ["Se1+", "Ir6+", 0.3649095281], + ["Ir6+", "Br1-", 0.2520628313], + ["Br1-", "Ir6+", 0.2520628313], + ["Ir6+", "Br1+", 0.3610834678], + ["Br1+", "Ir6+", 0.3610834678], + ["Ir6+", "Rb1+", 0.4550200657], + ["Rb1+", "Ir6+", 0.4550200657], + ["Ir6+", "Y1+", -0.0463435461], + ["Y1+", "Ir6+", -0.0463435461], + ["Ir6+", "Zr1+", -0.1080461576], + ["Zr1+", "Ir6+", -0.1080461576], + ["Ir6+", "Nb1+", -0.0202169116], + ["Nb1+", "Ir6+", -0.0202169116], + ["Ir6+", "Tc1-", -0.1316826047], + ["Tc1-", "Ir6+", -0.1316826047], + ["Ir6+", "Tc1+", -0.0433278536], + ["Tc1+", "Ir6+", -0.0433278536], + ["Ir6+", "Rh1+", -0.0335532388], + ["Rh1+", "Ir6+", -0.0335532388], + ["Ir6+", "Ag1+", 0.2371570111], + ["Ag1+", "Ir6+", 0.2371570111], + ["Ir6+", "In1+", 0.1561975575], + ["In1+", "Ir6+", 0.1561975575], + ["Ir6+", "Sb1-", 0.05408998], + ["Sb1-", "Ir6+", 0.05408998], + ["Ir6+", "Sb1+", 0.071647848], + ["Sb1+", "Ir6+", 0.071647848], + ["Ir6+", "Te1-", 0.2641944717], + ["Te1-", "Ir6+", 0.2641944717], + ["Ir6+", "Te1+", 0.2511668806], + ["Te1+", "Ir6+", 0.2511668806], + ["Ir6+", "I1-", 0.1927050095], + ["I1-", "Ir6+", 0.1927050095], + ["Ir6+", "I1+", 0.4090959667], + ["I1+", "Ir6+", 0.4090959667], + ["Ir6+", "Cs1+", 0.4405855802], + ["Cs1+", "Ir6+", 0.4405855802], + ["Ir6+", "La1+", -0.0431619858], + ["La1+", "Ir6+", -0.0431619858], + ["Ir6+", "Tb1+", 0.1449438562], + ["Tb1+", "Ir6+", 0.1449438562], + ["Ir6+", "Ta1+", -0.0846310544], + ["Ta1+", "Ir6+", -0.0846310544], + ["Ir6+", "Os1-", 0.0213707359], + ["Os1-", "Ir6+", 0.0213707359], + ["Ir6+", "Os1+", 0.2769156697], + ["Os1+", "Ir6+", 0.2769156697], + 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"Ni1+", 0.2153134224], + ["Ni1+", "Au1-", -0.118277425], + ["Au1-", "Ni1+", -0.118277425], + ["Ni1+", "Au1+", 0.1625237499], + ["Au1+", "Ni1+", 0.1625237499], + ["Ni1+", "Hg1+", -0.0087880269], + ["Hg1+", "Ni1+", -0.0087880269], + ["Ni1+", "Tl1+", 0.0028771696], + ["Tl1+", "Ni1+", 0.0028771696], + ["Ni1+", "Bi1+", 0.0580057121], + ["Bi1+", "Ni1+", 0.0580057121], + ["Cu1+", "Cu1+", 1.0], + ["Cu1+", "Ga1+", 0.3026775345], + ["Ga1+", "Cu1+", 0.3026775345], + ["Cu1+", "As1-", 0.1378294018], + ["As1-", "Cu1+", 0.1378294018], + ["Cu1+", "As1+", 0.416633306], + ["As1+", "Cu1+", 0.416633306], + ["Cu1+", "Se1-", 0.1743523866], + ["Se1-", "Cu1+", 0.1743523866], + ["Cu1+", "Se1+", 0.1591850263], + ["Se1+", "Cu1+", 0.1591850263], + ["Cu1+", "Br1-", 0.2089218774], + ["Br1-", "Cu1+", 0.2089218774], + ["Cu1+", "Br1+", 0.0737028015], + ["Br1+", "Cu1+", 0.0737028015], + ["Cu1+", "Rb1+", 0.4104353143], + ["Rb1+", "Cu1+", 0.4104353143], + ["Cu1+", "Y1+", 0.1084301727], + ["Y1+", "Cu1+", 0.1084301727], + ["Cu1+", "Zr1+", 0.3546747448], + ["Zr1+", "Cu1+", 0.3546747448], + ["Cu1+", "Nb1+", 0.4472737153], + ["Nb1+", "Cu1+", 0.4472737153], + ["Cu1+", "Tc1-", 0.0910149614], + ["Tc1-", "Cu1+", 0.0910149614], + ["Cu1+", "Tc1+", 0.3901695732], + ["Tc1+", "Cu1+", 0.3901695732], + ["Cu1+", "Rh1+", 0.5356852444], + ["Rh1+", "Cu1+", 0.5356852444], + ["Cu1+", "Ag1+", 0.7051210313], + ["Ag1+", "Cu1+", 0.7051210313], + ["Cu1+", "In1+", 0.2930550111], + ["In1+", "Cu1+", 0.2930550111], + ["Cu1+", "Sb1-", 0.0371361658], + ["Sb1-", "Cu1+", 0.0371361658], + ["Cu1+", "Sb1+", -0.0172721355], + ["Sb1+", "Cu1+", -0.0172721355], + ["Cu1+", "Te1-", 0.0694335004], + ["Te1-", "Cu1+", 0.0694335004], + ["Cu1+", "Te1+", 0.3021395012], + ["Te1+", "Cu1+", 0.3021395012], + ["Cu1+", "I1-", 0.1448272461], + ["I1-", "Cu1+", 0.1448272461], + ["Cu1+", "I1+", -0.0465015999], + ["I1+", "Cu1+", -0.0465015999], + ["Cu1+", "Cs1+", 0.3899553465], + ["Cs1+", "Cu1+", 0.3899553465], + ["Cu1+", "La1+", 0.138304147], + ["La1+", "Cu1+", 0.138304147], + ["Cu1+", "Tb1+", 0.2903640424], + ["Tb1+", "Cu1+", 0.2903640424], + ["Cu1+", "Ta1+", 0.5774091127], + ["Ta1+", "Cu1+", 0.5774091127], + ["Cu1+", "Os1-", 0.4051519055], + ["Os1-", "Cu1+", 0.4051519055], + ["Cu1+", "Os1+", -0.1336756146], + ["Os1+", "Cu1+", -0.1336756146], + ["Cu1+", "Pt1-", 0.3083188752], + ["Pt1-", "Cu1+", 0.3083188752], + ["Cu1+", "Pt1+", 0.1161796097], + ["Pt1+", "Cu1+", 0.1161796097], + ["Cu1+", "Au1-", 0.0060911905], + ["Au1-", "Cu1+", 0.0060911905], + ["Cu1+", "Au1+", 0.415615163], + ["Au1+", "Cu1+", 0.415615163], + ["Cu1+", "Hg1+", 0.1547379592], + ["Hg1+", "Cu1+", 0.1547379592], + ["Cu1+", "Tl1+", 0.4783855537], + ["Tl1+", "Cu1+", 0.4783855537], + ["Cu1+", "Bi1+", 0.2703586677], + ["Bi1+", "Cu1+", 0.2703586677], + ["Ga1+", "Ga1+", 1.0], + ["Ga1+", "As1-", 0.1164866519], + ["As1-", "Ga1+", 0.1164866519], + ["Ga1+", "As1+", -0.0902558245], + ["As1+", "Ga1+", -0.0902558245], + ["Ga1+", "Se1-", 0.1836954557], + ["Se1-", "Ga1+", 0.1836954557], + ["Ga1+", "Se1+", 0.1770223827], + ["Se1+", "Ga1+", 0.1770223827], + ["Ga1+", "Br1-", 0.1830711189], + ["Br1-", "Ga1+", 0.1830711189], + ["Ga1+", "Br1+", 0.3527147994], + ["Br1+", "Ga1+", 0.3527147994], + ["Ga1+", "Rb1+", 0.3392239701], + ["Rb1+", "Ga1+", 0.3392239701], + ["Ga1+", "Y1+", 0.1975745337], + ["Y1+", "Ga1+", 0.1975745337], + ["Ga1+", "Zr1+", 0.4860918688], + ["Zr1+", "Ga1+", 0.4860918688], + ["Ga1+", "Nb1+", 0.4573414752], + ["Nb1+", "Ga1+", 0.4573414752], + ["Ga1+", "Tc1-", 0.0731656167], + ["Tc1-", "Ga1+", 0.0731656167], + ["Ga1+", "Tc1+", 0.3363119754], + ["Tc1+", "Ga1+", 0.3363119754], + ["Ga1+", "Rh1+", 0.3691280835], + ["Rh1+", "Ga1+", 0.3691280835], + ["Ga1+", "Ag1+", 0.3023995555], + ["Ag1+", "Ga1+", 0.3023995555], + ["Ga1+", "In1+", 0.4154184796], + ["In1+", "Ga1+", 0.4154184796], + ["Ga1+", "Sb1-", 0.0762729601], + ["Sb1-", "Ga1+", 0.0762729601], + ["Ga1+", "Sb1+", -0.1630282951], + ["Sb1+", "Ga1+", -0.1630282951], + ["Ga1+", "Te1-", 0.0450654416], + ["Te1-", "Ga1+", 0.0450654416], + ["Ga1+", "Te1+", 0.2977432339], + ["Te1+", "Ga1+", 0.2977432339], + ["Ga1+", "I1-", 0.1445194905], + ["I1-", "Ga1+", 0.1445194905], + ["Ga1+", "I1+", 0.2071887058], + ["I1+", "Ga1+", 0.2071887058], + ["Ga1+", "Cs1+", 0.244683956], + ["Cs1+", "Ga1+", 0.244683956], + ["Ga1+", "La1+", 0.2834173031], + ["La1+", "Ga1+", 0.2834173031], + ["Ga1+", "Tb1+", 0.3697394126], + ["Tb1+", "Ga1+", 0.3697394126], + ["Ga1+", "Ta1+", 0.3044214027], + ["Ta1+", "Ga1+", 0.3044214027], + ["Ga1+", "Os1-", 0.0451326045], + ["Os1-", "Ga1+", 0.0451326045], + ["Ga1+", "Os1+", 0.2018110266], + ["Os1+", "Ga1+", 0.2018110266], + ["Ga1+", "Pt1-", 0.1060867403], + ["Pt1-", "Ga1+", 0.1060867403], + ["Ga1+", "Pt1+", 0.2266703754], + ["Pt1+", "Ga1+", 0.2266703754], + ["Ga1+", "Au1-", -0.0252754865], + ["Au1-", "Ga1+", -0.0252754865], + ["Ga1+", "Au1+", 0.2877854947], + ["Au1+", "Ga1+", 0.2877854947], + ["Ga1+", "Hg1+", 0.2966233407], + ["Hg1+", "Ga1+", 0.2966233407], + ["Ga1+", "Tl1+", 0.2741967821], + ["Tl1+", "Ga1+", 0.2741967821], + ["Ga1+", "Bi1+", -0.0117010404], + ["Bi1+", "Ga1+", -0.0117010404], + ["As1-", "As1-", 1.0], + ["As1-", "As1+", 0.2538761851], + ["As1+", "As1-", 0.2538761851], + ["As1-", "Se1-", 0.3862521417], + ["Se1-", "As1-", 0.3862521417], + ["As1-", "Se1+", 0.0613760124], + ["Se1+", "As1-", 0.0613760124], + ["As1-", "Br1-", 0.2245224897], + ["Br1-", "As1-", 0.2245224897], + ["As1-", "Br1+", -0.0157353264], + ["Br1+", "As1-", -0.0157353264], + ["As1-", "Rb1+", 0.1726757426], + ["Rb1+", "As1-", 0.1726757426], + ["As1-", "Y1+", -0.0344950176], + ["Y1+", "As1-", -0.0344950176], + ["As1-", "Zr1+", 0.0326210557], + ["Zr1+", "As1-", 0.0326210557], + ["As1-", "Nb1+", -0.0101684657], + ["Nb1+", "As1-", -0.0101684657], + ["As1-", "Tc1-", 0.3718654434], + ["Tc1-", "As1-", 0.3718654434], + ["As1-", "Tc1+", 0.1001209386], + ["Tc1+", "As1-", 0.1001209386], + ["As1-", "Rh1+", 0.0431370734], + ["Rh1+", "As1-", 0.0431370734], + ["As1-", "Ag1+", 0.1879022183], + ["Ag1+", "As1-", 0.1879022183], + ["As1-", "In1+", 0.2579346236], + ["In1+", "As1-", 0.2579346236], + ["As1-", "Sb1-", 0.4991224061], + ["Sb1-", "As1-", 0.4991224061], + ["As1-", "Sb1+", -0.0591630133], + ["Sb1+", "As1-", -0.0591630133], + ["As1-", "Te1-", 0.2933206796], + ["Te1-", "As1-", 0.2933206796], + ["As1-", "Te1+", 0.1083052475], + ["Te1+", "As1-", 0.1083052475], + ["As1-", "I1-", 0.3539818614], + ["I1-", "As1-", 0.3539818614], + ["As1-", "I1+", 0.0170859429], + ["I1+", "As1-", 0.0170859429], + ["As1-", "Cs1+", 0.1251792209], + ["Cs1+", "As1-", 0.1251792209], + ["As1-", "La1+", -0.0788206466], + ["La1+", "As1-", -0.0788206466], + ["As1-", "Tb1+", -0.0841455907], + ["Tb1+", "As1-", -0.0841455907], + ["As1-", "Ta1+", 0.0940749889], + ["Ta1+", "As1-", 0.0940749889], + ["As1-", "Os1-", 0.031543122], + ["Os1-", "As1-", 0.031543122], + ["As1-", "Os1+", -0.1467657375], + ["Os1+", "As1-", -0.1467657375], + ["As1-", "Pt1-", 0.3010768482], + ["Pt1-", "As1-", 0.3010768482], + ["As1-", "Pt1+", -0.0878711961], + ["Pt1+", "As1-", -0.0878711961], + ["As1-", "Au1-", -0.1180345184], + ["Au1-", "As1-", -0.1180345184], + ["As1-", "Au1+", 0.1429333766], + ["Au1+", "As1-", 0.1429333766], + ["As1-", "Hg1+", 0.0131661158], + ["Hg1+", "As1-", 0.0131661158], + ["As1-", "Tl1+", 0.1768724155], + ["Tl1+", "As1-", 0.1768724155], + ["As1-", "Bi1+", 0.0648320647], + ["Bi1+", "As1-", 0.0648320647], + ["As1+", "As1+", 1.0], + ["As1+", "Se1-", 0.1205716936], + ["Se1-", "As1+", 0.1205716936], + ["As1+", "Se1+", 0.1521357912], + ["Se1+", "As1+", 0.1521357912], + ["As1+", "Br1-", 0.1709582008], + ["Br1-", "As1+", 0.1709582008], + ["As1+", "Br1+", -0.0418575272], + ["Br1+", "As1+", -0.0418575272], + ["As1+", "Rb1+", 0.2223433321], + ["Rb1+", "As1+", 0.2223433321], + ["As1+", "Y1+", -0.0465154833], + ["Y1+", "As1+", -0.0465154833], + ["As1+", "Zr1+", -0.0641729425], + ["Zr1+", "As1+", -0.0641729425], + ["As1+", "Nb1+", 0.1446752052], + ["Nb1+", "As1+", 0.1446752052], + ["As1+", "Tc1-", 0.2341890011], + ["Tc1-", "As1+", 0.2341890011], + ["As1+", "Tc1+", 0.1742687709], + ["Tc1+", "As1+", 0.1742687709], + ["As1+", "Rh1+", 0.110009572], + ["Rh1+", "As1+", 0.110009572], + ["As1+", "Ag1+", 0.3997351511], + ["Ag1+", "As1+", 0.3997351511], + ["As1+", "In1+", 0.2777130271], + ["In1+", "As1+", 0.2777130271], + ["As1+", "Sb1-", 0.2654977258], + ["Sb1-", "As1+", 0.2654977258], + ["As1+", "Sb1+", 0.2998793527], + ["Sb1+", "As1+", 0.2998793527], + ["As1+", "Te1-", 0.0973563497], + ["Te1-", "As1+", 0.0973563497], + ["As1+", "Te1+", 0.0890937914], + ["Te1+", "As1+", 0.0890937914], + ["As1+", "I1-", 0.1436788471], + ["I1-", "As1+", 0.1436788471], + ["As1+", "I1+", -0.0239810319], + ["I1+", "As1+", -0.0239810319], + ["As1+", "Cs1+", 0.2437201571], + ["Cs1+", "As1+", 0.2437201571], + ["As1+", "La1+", -0.0076564666], + ["La1+", "As1+", -0.0076564666], + ["As1+", "Tb1+", -0.0754296117], + ["Tb1+", "As1+", -0.0754296117], + ["As1+", "Ta1+", 0.2912898221], + ["Ta1+", "As1+", 0.2912898221], + ["As1+", "Os1-", 0.2385471335], + ["Os1-", "As1+", 0.2385471335], + ["As1+", "Os1+", -0.0483524642], + ["Os1+", "As1+", -0.0483524642], + ["As1+", "Pt1-", 0.3304749204], + ["Pt1-", "As1+", 0.3304749204], + ["As1+", "Pt1+", 0.2484097286], + ["Pt1+", "As1+", 0.2484097286], + ["As1+", "Au1-", -0.0481976856], + ["Au1-", "As1+", -0.0481976856], + ["As1+", "Au1+", 0.036931309], + ["Au1+", "As1+", 0.036931309], + ["As1+", "Hg1+", 0.0130955351], + ["Hg1+", "As1+", 0.0130955351], + ["As1+", "Tl1+", 0.3771831629], + ["Tl1+", "As1+", 0.3771831629], + ["As1+", "Bi1+", 0.3548996031], + ["Bi1+", "As1+", 0.3548996031], + ["Se1-", "Se1-", 1.0], + ["Se1-", "Se1+", 0.1281937292], + ["Se1+", "Se1-", 0.1281937292], + ["Se1-", "Br1-", 0.443271623], + ["Br1-", "Se1-", 0.443271623], + ["Se1-", "Br1+", 0.1418149408], + ["Br1+", "Se1-", 0.1418149408], + ["Se1-", "Rb1+", 0.3345699151], + ["Rb1+", "Se1-", 0.3345699151], + ["Se1-", "Y1+", -0.1156378647], + ["Y1+", "Se1-", -0.1156378647], + ["Se1-", "Zr1+", -0.1364166928], + ["Zr1+", "Se1-", -0.1364166928], + ["Se1-", "Nb1+", -0.1064798257], + ["Nb1+", "Se1-", -0.1064798257], + ["Se1-", "Tc1-", 0.2780234023], + ["Tc1-", "Se1-", 0.2780234023], + ["Se1-", "Tc1+", 0.0457825634], + ["Tc1+", "Se1-", 0.0457825634], + ["Se1-", "Rh1+", 0.0331825788], + ["Rh1+", "Se1-", 0.0331825788], + ["Se1-", "Ag1+", 0.3519533095], + ["Ag1+", "Se1-", 0.3519533095], + ["Se1-", "In1+", 0.2199414727], + ["In1+", "Se1-", 0.2199414727], + ["Se1-", "Sb1-", 0.2975241056], + ["Sb1-", "Se1-", 0.2975241056], + ["Se1-", "Sb1+", 0.1289162073], + ["Sb1+", "Se1-", 0.1289162073], + ["Se1-", "Te1-", 0.5836840215], + ["Te1-", "Se1-", 0.5836840215], + ["Se1-", "Te1+", 0.247554309], + ["Te1+", "Se1-", 0.247554309], + ["Se1-", "I1-", 0.408784666], + ["I1-", "Se1-", 0.408784666], + ["Se1-", "I1+", 0.1772478791], + ["I1+", "Se1-", 0.1772478791], + ["Se1-", "Cs1+", 0.3882204095], + ["Cs1+", "Se1-", 0.3882204095], + ["Se1-", "La1+", -0.0032572375], + ["La1+", "Se1-", -0.0032572375], + ["Se1-", "Tb1+", 0.0492361178], + ["Tb1+", "Se1-", 0.0492361178], + ["Se1-", "Ta1+", -0.0840190626], + ["Ta1+", "Se1-", -0.0840190626], + ["Se1-", "Os1-", 0.1455080214], + ["Os1-", "Se1-", 0.1455080214], + ["Se1-", "Os1+", 0.0972099728], + ["Os1+", "Se1-", 0.0972099728], + ["Se1-", "Pt1-", 0.3474520654], + ["Pt1-", "Se1-", 0.3474520654], + ["Se1-", "Pt1+", -0.2155193605], + ["Pt1+", "Se1-", -0.2155193605], + ["Se1-", "Au1-", 0.0521488825], + ["Au1-", "Se1-", 0.0521488825], + ["Se1-", "Au1+", 0.2106328054], + ["Au1+", "Se1-", 0.2106328054], + ["Se1-", "Hg1+", 0.206310858], + ["Hg1+", "Se1-", 0.206310858], + ["Se1-", "Tl1+", 0.503555068], + ["Tl1+", "Se1-", 0.503555068], + ["Se1-", "Bi1+", 0.0847517315], + ["Bi1+", "Se1-", 0.0847517315], + ["Se1+", "Se1+", 1.0], + ["Se1+", "Br1-", 0.2868436259], + ["Br1-", "Se1+", 0.2868436259], + ["Se1+", "Br1+", 0.3228740191], + ["Br1+", "Se1+", 0.3228740191], + ["Se1+", "Rb1+", 0.3973931389], + ["Rb1+", "Se1+", 0.3973931389], + ["Se1+", "Y1+", 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["Te1+", "Ta1+", 0.0647111001], + ["Ta1+", "Te1+", 0.0647111001], + ["Te1+", "Os1-", -0.0035549341], + ["Os1-", "Te1+", -0.0035549341], + ["Te1+", "Os1+", 0.2872537291], + ["Os1+", "Te1+", 0.2872537291], + ["Te1+", "Pt1-", 0.0487532728], + ["Pt1-", "Te1+", 0.0487532728], + ["Te1+", "Pt1+", 0.0578415526], + ["Pt1+", "Te1+", 0.0578415526], + ["Te1+", "Au1-", 0.09161118], + ["Au1-", "Te1+", 0.09161118], + ["Te1+", "Au1+", 0.4384039717], + ["Au1+", "Te1+", 0.4384039717], + ["Te1+", "Hg1+", 0.3726071498], + ["Hg1+", "Te1+", 0.3726071498], + ["Te1+", "Tl1+", 0.447254243], + ["Tl1+", "Te1+", 0.447254243], + ["Te1+", "Bi1+", 0.2369796047], + ["Bi1+", "Te1+", 0.2369796047], + ["I1-", "I1-", 1.0], + ["I1-", "I1+", 0.1474053975], + ["I1+", "I1-", 0.1474053975], + ["I1-", "Cs1+", 0.2392198388], + ["Cs1+", "I1-", 0.2392198388], + ["I1-", "La1+", 0.1504152322], + ["La1+", "I1-", 0.1504152322], + ["I1-", "Tb1+", 0.0533946285], + ["Tb1+", "I1-", 0.0533946285], + ["I1-", "Ta1+", -0.0526083664], + ["Ta1+", "I1-", -0.0526083664], + ["I1-", "Os1-", 0.1064350892], + ["Os1-", "I1-", 0.1064350892], + ["I1-", "Os1+", -0.0524242463], + ["Os1+", "I1-", -0.0524242463], + ["I1-", "Pt1-", 0.1261480057], + ["Pt1-", "I1-", 0.1261480057], + ["I1-", "Pt1+", -0.0006039096], + ["Pt1+", "I1-", -0.0006039096], + ["I1-", "Au1-", -0.0797087644], + ["Au1-", "I1-", -0.0797087644], + ["I1-", "Au1+", 0.2000491457], + ["Au1+", "I1-", 0.2000491457], + ["I1-", "Hg1+", 0.3260217785], + ["Hg1+", "I1-", 0.3260217785], + ["I1-", "Tl1+", 0.4080605068], + ["Tl1+", "I1-", 0.4080605068], + ["I1-", "Bi1+", 0.1642477944], + ["Bi1+", "I1-", 0.1642477944], + ["I1+", "I1+", 1.0], + ["I1+", "Cs1+", 0.2969816011], + ["Cs1+", "I1+", 0.2969816011], + ["I1+", "La1+", -0.0412920822], + ["La1+", "I1+", -0.0412920822], + ["I1+", "Tb1+", 0.0704984525], + ["Tb1+", "I1+", 0.0704984525], + ["I1+", "Ta1+", -0.1622742359], + ["Ta1+", "I1+", -0.1622742359], + ["I1+", "Os1-", -0.1238578773], + ["Os1-", "I1+", -0.1238578773], + ["I1+", "Os1+", 0.349028501], + ["Os1+", "I1+", 0.349028501], + ["I1+", "Pt1-", -0.1968697769], + ["Pt1-", "I1+", -0.1968697769], + ["I1+", "Pt1+", 0.0489195801], + ["Pt1+", "I1+", 0.0489195801], + ["I1+", "Au1-", 0.153762997], + ["Au1-", "I1+", 0.153762997], + ["I1+", "Au1+", 0.1480166883], + ["Au1+", "I1+", 0.1480166883], + ["I1+", "Hg1+", 0.2652678239], + ["Hg1+", "I1+", 0.2652678239], + ["I1+", "Tl1+", 0.2765396845], + ["Tl1+", "I1+", 0.2765396845], + ["I1+", "Bi1+", 0.10142647], + ["Bi1+", "I1+", 0.10142647], + ["Cs1+", "Cs1+", 1.0], + ["Cs1+", "La1+", 0.0712480727], + ["La1+", "Cs1+", 0.0712480727], + ["Cs1+", "Tb1+", 0.0677070968], + ["Tb1+", "Cs1+", 0.0677070968], + ["Cs1+", "Ta1+", 0.168913316], + ["Ta1+", "Cs1+", 0.168913316], + ["Cs1+", "Os1-", 0.1968625071], + ["Os1-", "Cs1+", 0.1968625071], + ["Cs1+", "Os1+", 0.1891837077], + ["Os1+", "Cs1+", 0.1891837077], + ["Cs1+", "Pt1-", 0.0335560936], + ["Pt1-", "Cs1+", 0.0335560936], + ["Cs1+", "Pt1+", 0.196554621], + ["Pt1+", "Cs1+", 0.196554621], + ["Cs1+", "Au1-", 0.0616993172], + ["Au1-", "Cs1+", 0.0616993172], + ["Cs1+", "Au1+", 0.4101707206], + ["Au1+", "Cs1+", 0.4101707206], + ["Cs1+", "Hg1+", 0.4531598838], + ["Hg1+", "Cs1+", 0.4531598838], + ["Cs1+", "Tl1+", 0.701731157], + ["Tl1+", "Cs1+", 0.701731157], + ["Cs1+", "Bi1+", 0.2484421765], + ["Bi1+", "Cs1+", 0.2484421765], + ["La1+", "La1+", 1.0], + ["La1+", "Tb1+", 0.5723510687], + ["Tb1+", "La1+", 0.5723510687], + ["La1+", "Ta1+", 0.1323783224], + ["Ta1+", "La1+", 0.1323783224], + ["La1+", "Os1-", -0.0356870559], + ["Os1-", "La1+", -0.0356870559], + ["La1+", "Os1+", 0.0381421459], + ["Os1+", "La1+", 0.0381421459], + ["La1+", "Pt1-", -0.0949790484], + ["Pt1-", "La1+", -0.0949790484], + ["La1+", "Pt1+", 0.2839304964], + ["Pt1+", "La1+", 0.2839304964], + ["La1+", "Au1-", 0.0089676543], + ["Au1-", "La1+", 0.0089676543], + ["La1+", "Au1+", 0.201484105], + ["Au1+", "La1+", 0.201484105], + ["La1+", "Hg1+", 0.2474415783], + ["Hg1+", "La1+", 0.2474415783], + ["La1+", "Tl1+", 0.0183323506], + ["Tl1+", "La1+", 0.0183323506], + ["La1+", "Bi1+", 0.3142553226], + ["Bi1+", "La1+", 0.3142553226], + ["Tb1+", "Tb1+", 1.0], + ["Tb1+", "Ta1+", 0.1975792482], + ["Ta1+", "Tb1+", 0.1975792482], + ["Tb1+", "Os1-", -0.0547782983], + ["Os1-", "Tb1+", -0.0547782983], + ["Tb1+", "Os1+", 0.255760669], + ["Os1+", "Tb1+", 0.255760669], + ["Tb1+", "Pt1-", 0.0072925115], + ["Pt1-", "Tb1+", 0.0072925115], + ["Tb1+", "Pt1+", 0.1913027282], + ["Pt1+", "Tb1+", 0.1913027282], + ["Tb1+", "Au1-", 0.1305415177], + ["Au1-", "Tb1+", 0.1305415177], + ["Tb1+", "Au1+", 0.3428114598], + ["Au1+", "Tb1+", 0.3428114598], + ["Tb1+", "Hg1+", 0.3488841976], + ["Hg1+", "Tb1+", 0.3488841976], + ["Tb1+", "Tl1+", 0.0766049513], + ["Tl1+", "Tb1+", 0.0766049513], + ["Tb1+", "Bi1+", 0.2702105901], + ["Bi1+", "Tb1+", 0.2702105901], + ["Ta1+", "Ta1+", 1.0], + ["Ta1+", "Os1-", 0.4471494972], + ["Os1-", "Ta1+", 0.4471494972], + ["Ta1+", "Os1+", -0.1461842386], + ["Os1+", "Ta1+", -0.1461842386], + ["Ta1+", "Pt1-", 0.3169549732], + ["Pt1-", "Ta1+", 0.3169549732], + ["Ta1+", "Pt1+", 0.1642103992], + ["Pt1+", "Ta1+", 0.1642103992], + ["Ta1+", "Au1-", -0.1242017771], + ["Au1-", "Ta1+", -0.1242017771], + ["Ta1+", "Au1+", 0.1971914253], + ["Au1+", "Ta1+", 0.1971914253], + ["Ta1+", "Hg1+", -0.1627920262], + ["Hg1+", "Ta1+", -0.1627920262], + ["Ta1+", "Tl1+", 0.2388132471], + ["Tl1+", "Ta1+", 0.2388132471], + ["Ta1+", "Bi1+", 0.1429242487], + ["Bi1+", "Ta1+", 0.1429242487], + ["Os1-", "Os1-", 1.0], + ["Os1-", "Os1+", -0.0362431593], + ["Os1+", "Os1-", -0.0362431593], + ["Os1-", "Pt1-", 0.3174791947], + ["Pt1-", "Os1-", 0.3174791947], + ["Os1-", "Pt1+", 0.0666881378], + ["Pt1+", "Os1-", 0.0666881378], + ["Os1-", "Au1-", 0.1144647378], + ["Au1-", "Os1-", 0.1144647378], + ["Os1-", "Au1+", 0.2691830864], + ["Au1+", "Os1-", 0.2691830864], + ["Os1-", "Hg1+", -0.2352682821], + ["Hg1+", "Os1-", -0.2352682821], + ["Os1-", "Tl1+", 0.2297604992], + ["Tl1+", "Os1-", 0.2297604992], + ["Os1-", "Bi1+", 0.1771039405], + ["Bi1+", "Os1-", 0.1771039405], + ["Os1+", "Os1+", 1.0], + ["Os1+", "Pt1-", -0.0585763611], + ["Pt1-", "Os1+", -0.0585763611], + ["Os1+", "Pt1+", 0.2961884644], + ["Pt1+", "Os1+", 0.2961884644], + ["Os1+", "Au1-", 0.1861145192], + ["Au1-", "Os1+", 0.1861145192], + ["Os1+", "Au1+", 0.1893577605], + ["Au1+", "Os1+", 0.1893577605], + ["Os1+", "Hg1+", 0.4050224856], + ["Hg1+", "Os1+", 0.4050224856], + ["Os1+", "Tl1+", 0.2095513247], + ["Tl1+", "Os1+", 0.2095513247], + ["Os1+", "Bi1+", 0.1794991989], + ["Bi1+", "Os1+", 0.1794991989], + ["Pt1-", "Pt1-", 1.0], + ["Pt1-", "Pt1+", -0.1080473048], + ["Pt1+", "Pt1-", -0.1080473048], + ["Pt1-", "Au1-", 0.1263967269], + ["Au1-", "Pt1-", 0.1263967269], + ["Pt1-", "Au1+", -0.0861750161], + ["Au1+", "Pt1-", -0.0861750161], + ["Pt1-", "Hg1+", -0.1123578535], + ["Hg1+", "Pt1-", -0.1123578535], + ["Pt1-", "Tl1+", 0.2896729126], + ["Tl1+", "Pt1-", 0.2896729126], + ["Pt1-", "Bi1+", 0.1913819766], + ["Bi1+", "Pt1-", 0.1913819766], + ["Pt1+", "Pt1+", 1.0], + ["Pt1+", "Au1-", -0.0565861906], + ["Au1-", "Pt1+", -0.0565861906], + ["Pt1+", "Au1+", 0.1198806105], + ["Au1+", "Pt1+", 0.1198806105], + ["Pt1+", "Hg1+", 0.1656482731], + ["Hg1+", "Pt1+", 0.1656482731], + ["Pt1+", "Tl1+", 0.1456361595], + ["Tl1+", "Pt1+", 0.1456361595], + ["Pt1+", "Bi1+", 0.1719490882], + ["Bi1+", "Pt1+", 0.1719490882], + ["Au1-", "Au1-", 1.0], + ["Au1-", "Au1+", 0.1983581899], + ["Au1+", "Au1-", 0.1983581899], + ["Au1-", "Hg1+", 0.0070155973], + ["Hg1+", "Au1-", 0.0070155973], + ["Au1-", "Tl1+", 0.0767973909], + ["Tl1+", "Au1-", 0.0767973909], + ["Au1-", "Bi1+", 0.0459231554], + ["Bi1+", "Au1-", 0.0459231554], + ["Au1+", "Au1+", 1.0], + ["Au1+", "Hg1+", 0.2680031691], + ["Hg1+", "Au1+", 0.2680031691], + ["Au1+", "Tl1+", 0.4557389005], + ["Tl1+", "Au1+", 0.4557389005], + ["Au1+", "Bi1+", 0.0435993864], + ["Bi1+", "Au1+", 0.0435993864], + ["Hg1+", "Hg1+", 1.0], + ["Hg1+", "Tl1+", 0.5230959151], + ["Tl1+", "Hg1+", 0.5230959151], + ["Hg1+", "Bi1+", 0.2764185216], + ["Bi1+", "Hg1+", 0.2764185216], + ["Tl1+", "Tl1+", 1.0], + ["Tl1+", "Bi1+", 0.2612879459], + ["Bi1+", "Tl1+", 0.2612879459], + ["Bi1+", "Bi1+", 1.0] +] diff --git a/smact/data_loader.py b/smact/data_loader.py index 188404a1..c8fd8f4b 100644 --- a/smact/data_loader.py +++ b/smact/data_loader.py @@ -6,10 +6,12 @@ transparent data-caching system to avoid a large amount of I/O when naively constructing several of these objects. It also implements a switchable system to print verbose warning messages about possible -missing data (mainly for debugging purposes). In general these fuctions +missing data (mainly for debugging purposes). In general these functions are used in the background and it is not necessary to use them directly. """ +from __future__ import annotations + import csv import os @@ -23,22 +25,24 @@ def set_warnings(enable=True): - """Set verbose warning messages on and off. + """ + Set verbose warning messages on and off. In order to see any of the warnings, this function needs to be called _before_ the first call to the smact.Element() constructor. Args: + ---- enable (bool) : print verbose warning messages. - """ + """ global _print_warnings _print_warnings = enable def _get_data_rows(filename): - """Generator for datafile entries by row""" + """Generator for datafile entries by row.""" with open(filename) as file: for line in file: line = line.strip() @@ -65,6 +69,7 @@ def lookup_element_oxidation_states(symbol, copy=True): most exhaustive list. Args: + ---- symbol (str) : the atomic symbol of the element to look up. copy (Optional(bool)): if True (default), return a copy of the oxidation-state list, rather than a reference to the cached @@ -72,23 +77,20 @@ def lookup_element_oxidation_states(symbol, copy=True): and where the list will not be modified! Returns: + ------- list: List of known oxidation states for the element. Returns None if oxidation states for the Element were not found in the external data. - """ + """ global _el_ox_states if _el_ox_states is None: _el_ox_states = {} - for items in _get_data_rows( - os.path.join(data_directory, "oxidation_states.txt") - ): - _el_ox_states[items[0]] = [ - int(oxidationState) for oxidationState in items[1:] - ] + for items in _get_data_rows(os.path.join(data_directory, "oxidation_states.txt")): + _el_ox_states[items[0]] = [int(oxidationState) for oxidationState in items[1:]] if symbol in _el_ox_states: if copy: @@ -96,15 +98,12 @@ def lookup_element_oxidation_states(symbol, copy=True): # deep copy. The elements of the lists are integers, which are # "value types" in Python. - return [oxidationState for oxidationState in _el_ox_states[symbol]] + return list(_el_ox_states[symbol]) else: return _el_ox_states[symbol] else: if _print_warnings: - print( - "WARNING: Oxidation states for element {} " - "not found.".format(symbol) - ) + print(f"WARNING: Oxidation states for element {symbol} " "not found.") return None @@ -118,6 +117,7 @@ def lookup_element_oxidation_states_icsd(symbol, copy=True): in the ICSD (and judged to be non-spurious). Args: + ---- symbol (str) : the atomic symbol of the element to look up. copy (Optional(bool)): if True (default), return a copy of the oxidation-state list, rather than a reference to the cached @@ -125,39 +125,31 @@ def lookup_element_oxidation_states_icsd(symbol, copy=True): and where the list will not be modified! Returns: + ------- list: List of known oxidation states for the element. Return None if oxidation states for the Element were not found in the external data. - """ + """ global _el_ox_states_icsd if _el_ox_states_icsd is None: _el_ox_states_icsd = {} - for items in _get_data_rows( - os.path.join(data_directory, "oxidation_states_icsd.txt") - ): - _el_ox_states_icsd[items[0]] = [ - int(oxidationState) for oxidationState in items[1:] - ] + for items in _get_data_rows(os.path.join(data_directory, "oxidation_states_icsd.txt")): + _el_ox_states_icsd[items[0]] = [int(oxidationState) for oxidationState in items[1:]] if symbol in _el_ox_states_icsd: if copy: # _el_ox_states_icsd stores lists -> if copy is set, make an implicit # deep copy. The elements of the lists are integers, which are # "value types" in Python. - return [ - oxidationState for oxidationState in _el_ox_states_icsd[symbol] - ] + return list(_el_ox_states_icsd[symbol]) else: return _el_ox_states_icsd[symbol] else: if _print_warnings: - print( - "WARNING: Oxidation states for element {}" - "not found.".format(symbol) - ) + print(f"WARNING: Oxidation states for element {symbol}" "not found.") return None @@ -171,6 +163,7 @@ def lookup_element_oxidation_states_sp(symbol, copy=True): are in the Pymatgen default lambda table for structure prediction. Args: + ---- symbol (str) : the atomic symbol of the element to look up. copy (Optional(bool)): if True (default), return a copy of the oxidation-state list, rather than a reference to the cached @@ -178,23 +171,20 @@ def lookup_element_oxidation_states_sp(symbol, copy=True): and where the list will not be modified! Returns: + ------- list: List of known oxidation states for the element. Return None if oxidation states for the Element were not found in the external data. - """ + """ global _el_ox_states_sp if _el_ox_states_sp is None: _el_ox_states_sp = {} - for items in _get_data_rows( - os.path.join(data_directory, "oxidation_states_SP.txt") - ): - _el_ox_states_sp[items[0]] = [ - int(oxidationState) for oxidationState in items[1:] - ] + for items in _get_data_rows(os.path.join(data_directory, "oxidation_states_SP.txt")): + _el_ox_states_sp[items[0]] = [int(oxidationState) for oxidationState in items[1:]] if symbol in _el_ox_states_sp: if copy: @@ -202,17 +192,12 @@ def lookup_element_oxidation_states_sp(symbol, copy=True): # deep copy. The elements of the lists are integers, which are # "value types" in Python. - return [ - oxidationState for oxidationState in _el_ox_states_sp[symbol] - ] + return list(_el_ox_states_sp[symbol]) else: return _el_ox_states_sp[symbol] else: if _print_warnings: - print( - "WARNING: Oxidation states for element {} " - "not found.".format(symbol) - ) + print(f"WARNING: Oxidation states for element {symbol} " "not found.") return None @@ -226,6 +211,7 @@ def lookup_element_oxidation_states_wiki(symbol, copy=True): are on Wikipedia (https://en.wikipedia.org/wiki/Template:List_of_oxidation_states_of_the_elements). Args: + ---- symbol (str) : the atomic symbol of the element to look up. copy (Optional(bool)): if True (default), return a copy of the oxidation-state list, rather than a reference to the cached @@ -233,23 +219,20 @@ def lookup_element_oxidation_states_wiki(symbol, copy=True): and where the list will not be modified! Returns: + ------- list: List of known oxidation states for the element. Return None if oxidation states for the Element were not found in the external data. - """ + """ global _el_ox_states_wiki if _el_ox_states_wiki is None: _el_ox_states_wiki = {} - for items in _get_data_rows( - os.path.join(data_directory, "oxidation_states_wiki.txt") - ): - _el_ox_states_wiki[items[0]] = [ - int(oxidationState) for oxidationState in items[1:] - ] + for items in _get_data_rows(os.path.join(data_directory, "oxidation_states_wiki.txt")): + _el_ox_states_wiki[items[0]] = [int(oxidationState) for oxidationState in items[1:]] if symbol in _el_ox_states_wiki: if copy: @@ -257,17 +240,12 @@ def lookup_element_oxidation_states_wiki(symbol, copy=True): # deep copy. The elements of the lists are integers, which are # "value types" in Python. - return [ - oxidationState for oxidationState in _el_ox_states_wiki[symbol] - ] + return list(_el_ox_states_wiki[symbol]) else: return _el_ox_states_wiki[symbol] else: if _print_warnings: - print( - "WARNING: Oxidation states for element {} " - "not found.".format(symbol) - ) + print(f"WARNING: Oxidation states for element {symbol} " "not found.") return None @@ -280,28 +258,30 @@ def lookup_element_oxidation_states_custom(symbol, filepath, copy=True): The oxidation states list is specified by the user in a text file. Args: + ---- symbol (str) : the atomic symbol of the element to look up. + filepath (str) : the path to the text file containing the + oxidation states data. copy (Optional(bool)): if True (default), return a copy of the oxidation-state list, rather than a reference to the cached data -- only use copy=False in performance-sensitive code and where the list will not be modified! Returns: + ------- list: List of known oxidation states for the element. Return None if oxidation states for the Element were not found in the external data. - """ + """ global _el_ox_states_custom if _el_ox_states_custom is None: _el_ox_states_custom = {} for items in _get_data_rows(filepath): - _el_ox_states_custom[items[0]] = [ - int(oxidationState) for oxidationState in items[1:] - ] + _el_ox_states_custom[items[0]] = [int(oxidationState) for oxidationState in items[1:]] if symbol in _el_ox_states_custom: if copy: @@ -309,18 +289,12 @@ def lookup_element_oxidation_states_custom(symbol, filepath, copy=True): # deep copy. The elements of the lists are integers, which are # "value types" in Python. - return [ - oxidationState - for oxidationState in _el_ox_states_custom[symbol] - ] + return list(_el_ox_states_custom[symbol]) else: return _el_ox_states_custom[symbol] else: if _print_warnings: - print( - "WARNING: Oxidation states for element {} " - "not found.".format(symbol) - ) + print(f"WARNING: Oxidation states for element {symbol} " "not found.") return None @@ -334,15 +308,17 @@ def lookup_element_hhis(symbol): Retrieve the HHI_R and HHI_p scores for an element. Args: + ---- symbol : the atomic symbol of the element to look up. Returns: + ------- tuple : (HHI_p, HHI_R) Return None if values for the elements were not found in the external data. - """ + """ global _element_hhis if _element_hhis is None: @@ -364,9 +340,7 @@ def lookup_element_hhis(symbol): return _element_hhis[symbol] else: if _print_warnings: - print( - "WARNING: HHI data for element " "{} not found.".format(symbol) - ) + print(f"WARNING: HHI data for element {symbol} not found.") return None @@ -376,7 +350,7 @@ def lookup_element_hhis(symbol): _element_data = None -def lookup_element_data(symbol, copy=True): +def lookup_element_data(symbol: str, copy: bool = True): """ Retrieve tabulated data for an element. @@ -386,16 +360,18 @@ def lookup_element_data(symbol, copy=True): constructed from the data table and cached before returning it. Args: + ---- symbol (str) : Atomic symbol for lookup - - copy (Optional(bool)) : if True (default), return a copy of the + copy (bool) : if True (default), return a copy of the data dictionary, rather than a reference to the cached object -- only used copy=False in performance-sensitive code and where you are certain the dictionary will not be modified! - Returns (dict) : Dictionary of data for given element, keyed by - column headings from data/element_data.txt. + Returns: + ------- + dict: Dictionary of data for given element, keyed by column headings from data/element_data.txt. + """ global _element_data if _element_data is None: @@ -414,9 +390,7 @@ def lookup_element_data(symbol, copy=True): "ion_pot", "dipol", ) - for items in _get_data_rows( - os.path.join(data_directory, "element_data.txt") - ): + for items in _get_data_rows(os.path.join(data_directory, "element_data.txt")): # First two columns are strings and should be left intact # Everything else is numerical and should be cast to a float # or, if not clearly a number, to None @@ -437,7 +411,7 @@ def lookup_element_data(symbol, copy=True): return _element_data[symbol] else: if _print_warnings: - print("WARNING: Elemental data for {}" " not found.".format(symbol)) + print(f"WARNING: Elemental data for {symbol} not found.") print(_element_data) return None @@ -455,6 +429,7 @@ def lookup_element_shannon_radius_data(symbol, copy=True): environments of an element. Args: + ---- symbol (str) : the atomic symbol of the element to look up. copy (Optional(bool)): if True (default), return a copy of the data @@ -463,6 +438,7 @@ def lookup_element_shannon_radius_data(symbol, copy=True): you are certain the dictionary will not be modified! Returns: + ------- list: Shannon radii datasets. @@ -481,8 +457,8 @@ def lookup_element_shannon_radius_data(symbol, copy=True): *float* comment *str* - """ + """ global _element_shannon_radii_data if _element_shannon_radii_data is None: @@ -527,10 +503,7 @@ def lookup_element_shannon_radius_data(symbol, copy=True): return _element_shannon_radii_data[symbol] else: if _print_warnings: - print( - "WARNING: Shannon-radius data for element {} not " - "found.".format(symbol) - ) + print(f"WARNING: Shannon-radius data for element {symbol} not " "found.") return None @@ -556,6 +529,7 @@ def lookup_element_shannon_radius_data_extendedML(symbol, copy=True): arXiv preprint arXiv:2101.00269. Args: + ---- symbol (str) : the atomic symbol of the element to look up. copy (Optional(bool)): if True (default), return a copy of the data @@ -564,6 +538,7 @@ def lookup_element_shannon_radius_data_extendedML(symbol, copy=True): you are certain the dictionary will not be modified! Returns: + ------- list: Extended Shannon radii datasets. @@ -580,16 +555,14 @@ def lookup_element_shannon_radius_data_extendedML(symbol, copy=True): *float* comment *str* - """ + """ global _element_shannon_radii_data_extendedML if _element_shannon_radii_data_extendedML is None: _element_shannon_radii_data_extendedML = {} - with open( - os.path.join(data_directory, "shannon_radii_ML_extended.csv") - ) as file: + with open(os.path.join(data_directory, "shannon_radii_ML_extended.csv")) as file: reader = csv.reader(file) # Skip the first row (headers). @@ -623,18 +596,12 @@ def lookup_element_shannon_radius_data_extendedML(symbol, copy=True): # function on each element. # The dictionary values are all Python "value types", so # nothing further is required to make a deep copy. - return [ - item.copy() - for item in _element_shannon_radii_data_extendedML[symbol] - ] + return [item.copy() for item in _element_shannon_radii_data_extendedML[symbol]] else: return _element_shannon_radii_data_extendedML[symbol] else: if _print_warnings: - print( - "WARNING: Extended Shannon-radius data for element {} not " - "found.".format(symbol) - ) + print(f"WARNING: Extended Shannon-radius data for element {symbol} not " "found.") return None @@ -652,9 +619,11 @@ def lookup_element_sse_data(symbol): DOI: 10.1021/ja204670s Args: + ---- symbol : the atomic symbol of the element to look up. Returns: + ------- list : SSE datasets for the element, or None if the element was not found among the external data. @@ -672,8 +641,8 @@ def lookup_element_sse_data(symbol): *str* SolidStateRenormalisationEnergy *float* - """ + """ global _element_ssedata if _element_ssedata is None: @@ -698,10 +667,7 @@ def lookup_element_sse_data(symbol): return _element_ssedata[symbol] else: if _print_warnings: - print( - "WARNING: Solid-state energy data for element {} not" - " found.".format(symbol) - ) + print(f"WARNING: Solid-state energy data for element {symbol} not" " found.") return None @@ -721,6 +687,7 @@ def lookup_element_sse2015_data(symbol, copy=True): pp138-144, DOI: 10.1016/j.jssc.2015.07.037. Args: + ---- symbol : the atomic symbol of the element to look up. copy: if True (default), return a copy of the data dictionary, rather than a reference to a cached object -- only use @@ -728,6 +695,7 @@ def lookup_element_sse2015_data(symbol, copy=True): certain the dictionary will not be modified! Returns: + ------- list : SSE datasets for the element, or None if the element was not found among the external data. @@ -737,8 +705,8 @@ def lookup_element_sse2015_data(symbol, copy=True): *int* SolidStateEnergy2015 *float* SSE2015 - """ + """ global _element_sse2015_data if _element_sse2015_data is None: @@ -770,10 +738,7 @@ def lookup_element_sse2015_data(symbol, copy=True): return _element_sse2015_data[symbol] else: if _print_warnings: - print( - "WARNING: Solid-state energy (revised 2015) data for " - "element {} not found.".format(symbol) - ) + print(f"WARNING: Solid-state energy (revised 2015) data for element {symbol} not found.") return None @@ -785,7 +750,8 @@ def lookup_element_sse2015_data(symbol, copy=True): def lookup_element_sse_pauling_data(symbol): - """Retrieve Pauling SSE data + """ + Retrieve Pauling SSE data. Retrieve the solid-state energy (SSEPauling) data for an element from the regression fit when SSE2015 is plotted against Pauling @@ -793,13 +759,14 @@ def lookup_element_sse_pauling_data(symbol): pp138-144, DOI: 10.1016/j.jssc.2015.07.037 Args: + ---- symbol (str) : the atomic symbol of the element to look up. Returns: A dictionary containing the SSE2015 dataset for the element, or None if the element was not found among the external data. - """ + """ global _element_ssepauling_data if _element_ssepauling_data is None: @@ -820,7 +787,7 @@ def lookup_element_sse_pauling_data(symbol): print( "WARNING: Solid-state energy data from Pauling " " electronegativity regression fit for " - " element {} not found.".format(symbol) + f" element {symbol} not found." ) return None @@ -858,7 +825,6 @@ def lookup_element_magpie_data(symbol: str, copy: bool = True): """ - global _element_magpie_data if _element_magpie_data is None: @@ -898,10 +864,7 @@ def lookup_element_magpie_data(symbol: str, copy: bool = True): return _element_magpie_data[symbol] else: if _print_warnings: - print( - "WARNING: Magpie data for element {} not " - "found.".format(symbol) - ) + print(f"WARNING: Magpie data for element {symbol} not " "found.") return None @@ -930,15 +893,12 @@ def lookup_element_valence_data(symbol: str, copy: bool = True): Returns None if the element was not found among the external data. """ - global _element_valence_data if _element_valence_data is None: _element_valence_data = {} - df = pd.read_csv( - os.path.join(data_directory, "element_valence_modified.csv") - ) + df = pd.read_csv(os.path.join(data_directory, "element_valence_modified.csv")) for _index, row in df.iterrows(): key = row.iloc[0] @@ -949,9 +909,6 @@ def lookup_element_valence_data(symbol: str, copy: bool = True): return _element_valence_data[symbol] else: if _print_warnings: - print( - "WARNING: Valence data for element {} not " - "found.".format(symbol) - ) + print(f"WARNING: Valence data for element {symbol} not " "found.") return None diff --git a/smact/distorter.py b/smact/distorter.py index a5caf05d..ac4a41ea 100644 --- a/smact/distorter.py +++ b/smact/distorter.py @@ -9,6 +9,8 @@ for equivalence. """ +from __future__ import annotations + import copy import smact @@ -29,28 +31,33 @@ def get_sg(lattice): Get the space-group of the system. Args: + ---- lattice: the ASE crystal class Returns: sg (int): integer number of the spacegroup + """ spacegroup = spglib.get_spacegroup(lattice, symprec=1e-5) space_split = spacegroup.split() spg_num = space_split[1].replace("(", "").replace(")", "") - sg = Spacegroup(int(spg_num)) - return sg + return Spacegroup(int(spg_num)) def get_inequivalent_sites(sub_lattice, lattice): - """Given a sub lattice, returns symmetry unique sites for substitutions. + """ + Given a sub lattice, returns symmetry unique sites for substitutions. Args: + ---- sub_lattice (list of lists): array containing Cartesian coordinates of the sub-lattice of interest lattice (ASE crystal): the total lattice Returns: + ------- List of sites + """ sg = get_sg(lattice) inequivalent_sites = [] @@ -59,30 +66,34 @@ def get_inequivalent_sites(sub_lattice, lattice): # Check against the existing members of the list of inequivalent sites if len(inequivalent_sites) > 0: for inequiv_site in inequivalent_sites: - if smact.are_eq(site, inequiv_site) == True: - new_site = False - # Check against symmetry related members of the list of inequivalent sites - equiv_inequiv_sites, _ = sg.equivalent_sites(inequiv_site) - for equiv_inequiv_site in equiv_inequiv_sites: - if smact.are_eq(site, equiv_inequiv_site) == True: + if smact.are_eq(site, inequiv_site) is True: new_site = False + # Check against symmetry related members of the list of inequivalent sites + equiv_inequiv_sites, _ = sg.equivalent_sites(inequiv_site) + for equiv_inequiv_site in equiv_inequiv_sites: + if smact.are_eq(site, equiv_inequiv_site) is True: + new_site = False - if new_site == True: + if new_site is True: inequivalent_sites.append(site) return inequivalent_sites def make_substitution(lattice, site, new_species): - """Change atomic species on lattice site to new_species. + """ + Change atomic species on lattice site to new_species. Args: + ---- lattice (ASE crystal): Input lattice site (list): Cartesian coordinates of the substitution site new_species (str): New species Returns: + ------- lattice + """ i = 0 # NBNBNBNB It is necessary to use deepcopy for objects, otherwise changes applied to a clone @@ -97,17 +108,20 @@ def make_substitution(lattice, site, new_species): def build_sub_lattice(lattice, symbol): - """Generate a sub-lattice of the lattice based on equivalent atomic species. + """ + Generate a sub-lattice of the lattice based on equivalent atomic species. Args: + ---- lattice (ASE crystal class): Input lattice symbol (string): Symbol of species identifying sub-lattice Returns: + ------- list of lists: sub_lattice: Cartesian coordinates of the sub-lattice of symbol - """ + """ sub_lattice = [] i = 0 atomic_labels = lattice.get_chemical_symbols() diff --git a/smact/dopant_prediction/__init__.py b/smact/dopant_prediction/__init__.py index 9f21268f..e4323a9c 100644 --- a/smact/dopant_prediction/__init__.py +++ b/smact/dopant_prediction/__init__.py @@ -1,5 +1,7 @@ """Minimalist dopant prediction tools for materials design.""" +from __future__ import annotations + import logging __author__ = "Chloe (Jiwoo) Lee (이지우)" diff --git a/smact/dopant_prediction/doper.py b/smact/dopant_prediction/doper.py index edd32a60..94d0ed07 100644 --- a/smact/dopant_prediction/doper.py +++ b/smact/dopant_prediction/doper.py @@ -1,6 +1,12 @@ +"""The dopant prediction module facilitates high-throughput prediction of p-type and n-type dopants +in multi-component solids. The search and ranking process is based on electronic filters +(e.g. accessible oxidation states) and chemical filters (e.g. difference in ionic radius). +""" + +from __future__ import annotations + import os from itertools import groupby -from typing import List, Optional, Tuple, Type import numpy as np from pymatgen.util import plotting @@ -19,20 +25,21 @@ class Doper: """ A class to search for n & p type dopants - Methods: get_dopants, plot_dopants + Methods: get_dopants, plot_dopants. """ def __init__( self, - original_species: Tuple[str, ...], - filepath: Optional[str] = None, - embedding: Optional[str] = None, + original_species: tuple[str, ...], + filepath: str | None = None, + embedding: str | None = None, use_probability: bool = True, ): """ - Initialise the `Doper` class with a tuple of species + Initialise the `Doper` class with a tuple of species. Args: + ---- original_species: See :class:`~.Doper`. filepath (str): Path to a JSON file containing lambda table data. embedding (str): Name of the species embedding to use. Currently only 'skipspecies' is supported. @@ -44,15 +51,11 @@ def __init__( # filepath and embedding are mutually exclusive # check if both are provided if filepath and embedding: - raise ValueError( - "Only one of filepath or embedding should be provided" - ) + raise ValueError("Only one of filepath or embedding should be provided") if embedding and embedding != "skipspecies": raise ValueError(f"Embedding {embedding} is not supported") if embedding: - self.cation_mutator = mutation.CationMutator.from_json( - SKIPSSPECIES_COSINE_SIM_PATH - ) + self.cation_mutator = mutation.CationMutator.from_json(SKIPSSPECIES_COSINE_SIM_PATH) elif filepath: self.cation_mutator = mutation.CationMutator.from_json(filepath) else: @@ -60,18 +63,14 @@ def __init__( self.cation_mutator = mutation.CationMutator.from_json(filepath) self.possible_species = list(self.cation_mutator.specs) self.lambda_threshold = self.cation_mutator.alpha("X", "Y") - self.threshold = ( - 1 - / self.cation_mutator.Z - * np.exp(self.cation_mutator.alpha("X", "Y")) - ) + self.threshold = 1 / self.cation_mutator.Z * np.exp(self.cation_mutator.alpha("X", "Y")) self.use_probability = use_probability self.results = None def _get_selectivity( self, - data_list: List[smact.Element], - cations: List[smact.Element], + data_list: list[smact.Element], + cations: list[smact.Element], sub, ): data = data_list.copy() @@ -83,9 +82,7 @@ def _get_selectivity( sum_prob = sub_prob for cation in cations: if cation != original_specie: - sum_prob += self._calculate_species_sim_prob( - cation, selected_site - ) + sum_prob += self._calculate_species_sim_prob(cation, selected_site) selectivity = sub_prob / sum_prob selectivity = round(selectivity, 2) @@ -99,26 +96,27 @@ def _merge_dicts(self, keys, dopants_list, groupby_list): merged_values = dict() merged_values["sorted"] = dopants for key, value in group.items(): - merged_values[key] = sorted( - value, key=lambda x: x[2], reverse=True - ) + merged_values[key] = sorted(value, key=lambda x: x[2], reverse=True) merged_dict[k] = merged_values return merged_dict def _get_dopants( self, - specie_ions: List[str], + specie_ions: list[str], ion_type: str, ): """ Get possible dopants for a given list of elements and dopants. Args: + ---- specie_ions (List[str]): List of original species (anions or cations) as strings. ion_type (str): Identify which species to check. Returns: + ------- List[str]: List of possible dopants. + """ poss_n_type = set() poss_p_type = set() @@ -145,31 +143,38 @@ def _calculate_species_sim_prob(self, species1, species2): Calculate the similarity/probability between two species. Args: + ---- species1 (str): The first species. species2 (str): The second species. Returns: + ------- float: The similarity between the two species. + """ if self.use_probability: return self.cation_mutator.sub_prob(species1, species2) else: return self.cation_mutator.get_lambda(species1, species2) - def get_dopants( - self, num_dopants: int = 5, get_selectivity=True, group_by_charge=True - ) -> dict: + def get_dopants(self, num_dopants: int = 5, get_selectivity=True, group_by_charge=True) -> dict: """ + Get the top num_dopants dopant suggestions for n- and p-type dopants. + Args: + ---- num_dopants (int): The number of suggestions to return for n- and p-type dopants. get_selectivity (bool): Whether to calculate the selectivity of the dopants. group_by_charge (bool): Whether to group the dopants by charge. + Returns: + ------- (dict): Dopant suggestions, given as a dictionary with keys - "n-type cation substitutions", "p-type cation substitutions", "n-type anion substitutions", "p-type anion substitutions". + "n-type cation substitutions", "p-type cation substitutions", "n-type anion substitutions", "p-type anion substitutions". Examples: - >>> test = Doper(('Ti4+','O2-')) + -------- + >>> test = Doper(("Ti4+", "O2-")) >>> print(test.get_dopants(num_dopants=2)) {'n-type anion substitutions': {'-1': [['F1-', 'O2-', 0.01508116810515677, 1.0], ['Cl1-','O2-', 0.004737202729901607, 1.0]], @@ -247,7 +252,6 @@ def get_dopants( 1.0]]}} """ - cations, anions = [], [] for ion in self.original_species: @@ -334,32 +338,22 @@ def get_dopants( sub = "cation" if i > 1: sub = "anion" - dopants_lists[i] = self._get_selectivity( - dopants_lists[i], cations, sub - ) + dopants_lists[i] = self._get_selectivity(dopants_lists[i], cations, sub) # if groupby - groupby_lists = [ - dict() - ] * 4 # create list of empty dict length of 4 (n-cat, p-cat, n-an, p-an) + groupby_lists = [dict()] * 4 # create list of empty dict length of 4 (n-cat, p-cat, n-an, p-an) # in case group_by_charge = False if group_by_charge: for i, dl in enumerate(dopants_lists): # groupby first element charge dl = sorted(dl, key=lambda x: utilities.parse_spec(x[0])[1]) - grouped_data = groupby( - dl, key=lambda x: utilities.parse_spec(x[0])[1] - ) - grouped_top_data = { - str(k): list(g)[:num_dopants] for k, g in grouped_data - } + grouped_data = groupby(dl, key=lambda x: utilities.parse_spec(x[0])[1]) + grouped_top_data = {str(k): list(g)[:num_dopants] for k, g in grouped_data} groupby_lists[i] = grouped_top_data del grouped_data # select top n elements - dopants_lists = [ - dopants_list[:num_dopants] for dopants_list in dopants_lists - ] + dopants_lists = [dopants_list[:num_dopants] for dopants_list in dopants_lists] keys = [ "n-type cation substitutions", @@ -376,27 +370,24 @@ def get_dopants( def plot_dopants(self, cmap: str = "YlOrRd") -> None: """ Plot the dopant suggestions using the periodic table heatmap. + Args: + ---- cmap (str): The colormap to use for the heatmap. + Returns: + ------- None + """ - assert ( - self.results - ), "Dopants are not calculated. Run get_dopants first." + assert self.results, "Dopants are not calculated. Run get_dopants first." - for dopant_type, dopants in self.results.items(): + for dopants in self.results.values(): # due to selectivity option if self.len_list == 3: - dict_results = { - utilities.parse_spec(x)[0]: y - for x, _, y in dopants.get("sorted") - } + dict_results = {utilities.parse_spec(x)[0]: y for x, _, y in dopants.get("sorted")} else: - dict_results = { - utilities.parse_spec(x)[0]: y - for x, _, y, _ in dopants.get("sorted") - } + dict_results = {utilities.parse_spec(x)[0]: y for x, _, y, _ in dopants.get("sorted")} plotting.periodic_table_heatmap( elemental_data=dict_results, cmap=cmap, @@ -411,6 +402,14 @@ def _format_number(self, num_str): @property def to_table(self): + """ + Print the dopant suggestions in a tabular format. + + Returns: + ------- + None + + """ if not self.results: print("No data available") return @@ -423,9 +422,7 @@ def to_table(self): for k, v in dopants.items(): kind = k if k == "sorted" else self._format_number(k) print("\033[96m" + str(kind) + "\033[0m") - enumerated_data = [ - [i + 1] + sublist for i, sublist in enumerate(v) - ] + enumerated_data = [[i + 1, *sublist] for i, sublist in enumerate(v)] print( tabulate( enumerated_data, diff --git a/smact/lattice.py b/smact/lattice.py index f8f33d7d..a4e5b861 100755 --- a/smact/lattice.py +++ b/smact/lattice.py @@ -1,12 +1,12 @@ #!/usr/bin/env python +"""This module defines the Lattice and Site classes for crystal structures.""" -import numpy as np - -import smact +from __future__ import annotations class Lattice: - """A unique set of Sites. + """ + A unique set of Sites. Lattice objects define a general crystal structure, with a space group and a collection of Site objects. These Site objects have their own fractional @@ -17,6 +17,7 @@ class Lattice: Environment. Attributes: + ---------- basis_sites: A list of Site objects [SiteA, SiteB, SiteC, ...] comprising the basis sites in Cartesian coordinates @@ -27,11 +28,13 @@ class Lattice: Structurbericht identity, if applicable (e.g. 'B1') Methods: + ------- lattice_vector_calc(): """ def __init__(self, sites, space_group=1, strukturbericht=False): + """Initialize the Lattice object.""" self.sites = sites self.space_group = space_group self.strukturbericht = strukturbericht @@ -44,11 +47,15 @@ class Site: The Site object is primarily used within Lattice objects. Attributes: + ---------- position: A list of fractional coordinates [x,y,z] oxidation_states: A list of possible oxidation states e.g. [-1,0,1] """ - def __init__(self, position, oxidation_states=[0]): + def __init__(self, position, oxidation_states=None): + """Initialize the Site object.""" + if oxidation_states is None: + oxidation_states = [0] self.position = position self.oxidation_states = oxidation_states diff --git a/smact/lattice_parameters.py b/smact/lattice_parameters.py index e4be7bf0..067b7456 100644 --- a/smact/lattice_parameters.py +++ b/smact/lattice_parameters.py @@ -1,23 +1,28 @@ -#!/usr/bin/env python """ This module can be used to calculate roughly the lattice parameters of a lattice type, based on the radii of the species on each site. """ + +from __future__ import annotations + import numpy as np def cubic_perovskite(shannon_radius): # Cubic Pervoskite - """The lattice parameters of the cubic perovskite structure. + """ + The lattice parameters of the cubic perovskite structure. Args: + ---- shannon_radius (list) : The radii of the a,b,c ions Returns: + ------- (tuple): float values of lattics constants and angles (a, b, c, alpha, beta, gamma) - """ + """ limiting_factors = [2 * sum(shannon_radius[1:])] a = max(limiting_factors) b = a @@ -30,15 +35,19 @@ def cubic_perovskite(shannon_radius): # Cubic Pervoskite def wurtzite(shannon_radius): - """The lattice parameters of the wurtzite structure. + """ + The lattice parameters of the wurtzite structure. Args: + ---- shannon_radius (list) : The radii of the a,b ions Returns: + ------- (tuple): float values of lattics constants and angles (a, b, c, alpha, beta, gamma) + """ shannon_radius.sort(reverse=True) # Geometry assumes atom A is larger # "Ideal" wurtzite structure @@ -60,24 +69,26 @@ def wurtzite(shannon_radius): # 0.817 is sin(109.6/2) a = 2 * 0.817 * (shannon_radius[0] + shannon_radius[1]) b = a - c = (shannon_radius[0] + shannon_radius[1]) * ( - 2 + 2 * 0.335 - ) # 0.335 is sin(109.6-90) + c = (shannon_radius[0] + shannon_radius[1]) * (2 + 2 * 0.335) # 0.335 is sin(109.6-90) # inner_space = a * (6**0.5) - (4*shannon_radius[0]) return a, b, c, alpha, beta, gamma # A1# def fcc(covalent_radius): - """The lattice parameters of the A1. + """ + The lattice parameters of the A1. - Args: - shannon_radius (list) : The radii of the a ions + Args: + ---- + covalent_radius (list) : The radii of the a ions Returns: + ------- (tuple): float values of lattics constants and angles (a, b, c, alpha, beta, gamma) + """ a = 2 * 2**0.5 * covalent_radius b = 2 * 2**0.5 * covalent_radius @@ -90,15 +101,19 @@ def fcc(covalent_radius): # A2# def bcc(covalent_radius): - """The lattice parameters of the A2. + """ + The lattice parameters of the A2. Args: - shannon_radius (list) : The radii of the a ions + ---- + covalent_radius (list) : The radii of the a ions Returns: + ------- (tuple): float values of lattics constants and angles (a, b, c, alpha, beta, gamma) + """ a = 4 * covalent_radius / np.sqrt(3) b = a @@ -111,15 +126,19 @@ def bcc(covalent_radius): # A3# def hcp(covalent_radius): - """The lattice parameters of the hcp. + """ + The lattice parameters of the hcp. Args: - shannon_radius (list) : The radii of the a ions + ---- + covalent_radius (list) : The radii of the a ions Returns: + ------- (tuple): float values of lattics constants and angles (a, b, c, alpha, beta, gamma) + """ a = 2 * covalent_radius b = a @@ -132,15 +151,19 @@ def hcp(covalent_radius): # A4# def diamond(covalent_radius): - """The lattice parameters of the diamond. + """ + The lattice parameters of the diamond. Args: - shannon_radius (list) : The radii of the a ions + ---- + covalent_radius (list) : The radii of the a ions Returns: + ------- (tuple): float values of lattics constants and angles (a, b, c, alpha, beta, gamma) + """ a = 8 * covalent_radius / np.sqrt(3) b = a @@ -153,15 +176,19 @@ def diamond(covalent_radius): # A5# def bct(covalent_radius): - """The lattice parameters of the bct. + """ + The lattice parameters of the bct. Args: - shannon_radius (list) : The radii of the a ions + ---- + covalent_radius (list) : The radii of the a ions Returns: + ------- (tuple): float values of lattics constants and angles (a, b, c, alpha, beta, gamma) + """ a = 3.86 * covalent_radius b = a @@ -174,15 +201,19 @@ def bct(covalent_radius): # B1 def rocksalt(shannon_radius): - """The lattice parameters of rocksalt. + """ + The lattice parameters of rocksalt. Args: + ---- shannon_radius (list) : The radii of the a,b ions Returns: + ------- (tuple): float values of lattics constants and angles (a, b, c, alpha, beta, gamma) + """ limiting_factors = [ 2 * 2**0.2 * shannon_radius[0], @@ -200,15 +231,19 @@ def rocksalt(shannon_radius): # B2 def b2(shannon_radius): - """The lattice parameters of b2. + """ + The lattice parameters of b2. Args: + ---- shannon_radius (list) : The radii of the a,b ions Returns: + ------- (tuple): float values of lattics constants and angles (a, b, c, alpha, beta, gamma) + """ limiting_factors = [ 2 * (shannon_radius[0] + shannon_radius[0]) / np.sqrt(3), @@ -226,14 +261,19 @@ def b2(shannon_radius): # B3 def zincblende(shannon_radius): - """The lattice parameters of Zinc Blende. - Args: + """ + The lattice parameters of Zinc Blende. + + Args: + ---- shannon_radius (list) : The radii of the a,b ions Returns: + ------- (tuple): float values of lattics constants and angles (a, b, c, alpha, beta, gamma) + """ limiting_factors = [ 2 * (max(shannon_radius) * np.sqrt(2)), @@ -255,15 +295,19 @@ def zincblende(shannon_radius): # B10 def b10(shannon_radius): # Litharge - """The lattice parameters of Litharge + """ + The lattice parameters of Litharge. Args: + ---- shannon_radius (list) : The radii of the a,b ions Returns: + ------- (tuple): float values of lattics constants and angles (a, b, c, alpha, beta, gamma) + """ limiting_factors = [ 4 * (max(shannon_radius)) / np.sqrt(2), @@ -279,15 +323,19 @@ def b10(shannon_radius): # Litharge def stuffed_wurtzite(shannon_radii): - """The stuffed wurtzite structure (e.g. LiGaGe) space group P63/mc. + """ + The stuffed wurtzite structure (e.g. LiGaGe) space group P63/mc. Args: - shannon_radius (list) : The radii of the a,b,c ions + ---- + shannon_radii (list) : The radii of the a,b,c ions Returns: + ------- (tuple): float values of lattics constants and angles (a, b, c, alpha, beta, gamma) + """ rac = shannon_radii[2] + shannon_radii[1] x = rac * np.sin(np.radians(19.5)) diff --git a/smact/mainpage.py b/smact/mainpage.py index a2711070..ea7d9286 100644 --- a/smact/mainpage.py +++ b/smact/mainpage.py @@ -1,5 +1,5 @@ r""" -\mainpage +\mainpage. This is the mainpage of the smact package diff --git a/smact/oxidation_states.py b/smact/oxidation_states.py index 300b28ef..35fdf8c2 100644 --- a/smact/oxidation_states.py +++ b/smact/oxidation_states.py @@ -6,16 +6,17 @@ Prediction - DOI: 10.1039/C8FD00032H. """ +from __future__ import annotations + import json from os import path -from typing import Dict, Optional, Tuple from numpy import mean from pymatgen.core import Structure from pymatgen.core.periodic_table import Species as pmgSpecies from pymatgen.core.periodic_table import get_el_sp -from smact import Element, Species, data_directory +from smact import Species, data_directory class Oxidation_state_probability_finder: @@ -24,21 +25,19 @@ class Oxidation_state_probability_finder: to compute the likelihood of metal species existing in solids in the presence of certain anions. """ - def __init__( - self, probability_table: Optional[Dict[Tuple[str, str], float]] = None - ): + def __init__(self, probability_table: dict[tuple[str, str], float] | None = None): """ + Initialise the oxidation state probability finder. + Args: + ---- probability_table (dict): Lookup table to get probabilities for anion-cation pairs. Must be of the format {(anion,cation): probability, ...} e.g. {('F-1', 'Li1'): 1.0,...}. If none, the default table is loaded from the data directory. + """ - if probability_table == None: - with open( - path.join( - data_directory, "oxidation_state_probability_table.json" - ) - ) as f: + if probability_table is None: + with open(path.join(data_directory, "oxidation_state_probability_table.json")) as f: probability_data = json.load(f) # Put data into the required format probability_table = {} @@ -47,8 +46,8 @@ def __init__( self._probability_table = probability_table # Define set of species for which we have data - included_anions = {i[0] for i in self._probability_table.keys()} - included_cations = {i[1] for i in self._probability_table.keys()} + included_anions = {i[0] for i in self._probability_table} + included_cations = {i[1] for i in self._probability_table} included_species = list(included_anions) + list(included_cations) self._included_species = included_species @@ -60,10 +59,12 @@ def _generate_lookup_key(self, species1: Species, species2: Species): Internal function to generate keys to lookup table. Args: + ---- species1 (smact.Species): Species species2 (smact.Species): Species Returns: + ------- table_key (tuple): For looking up probability in the form (an_key, cat_key). """ @@ -82,82 +83,71 @@ def _generate_lookup_key(self, species1: Species, species2: Species): an_key = "".join([anion.symbol, str(int(anion.oxidation))]) # Check that both the species are included in the probability table - if not all( - elem in self._included_species for elem in [an_key, cat_key] - ): - raise NameError( - f"One or both of [{cat_key}, {an_key}] are not in the probability table." - ) + if not all(elem in self._included_species for elem in [an_key, cat_key]): + raise NameError(f"One or both of [{cat_key}, {an_key}] are not in the probability table.") - table_key = (an_key, cat_key) - return table_key + return (an_key, cat_key) def pair_probability(self, species1: Species, species2: Species) -> float: - """ + r""" Get the anion-cation oxidation state probability for a provided pair of smact Species. i.e. :math:`P_{SA}=\\frac{N_{SX}}{N_{MX}}` in the original paper (DOI:10.1039/C8FD00032H). Args: + ---- species1 (smact.Species): Cation or anion species species2 (smact.Species): Cation or anion species Returns: + ------- prob (float): Species-anion probability """ # Generate lookup table key and use it to look up probability probability_table_key = self._generate_lookup_key(species1, species2) - prob = self._probability_table[probability_table_key] - return prob + return self._probability_table[probability_table_key] def get_included_species(self): - """ - Returns a list of species for which there exists data in the probability table used. - """ + """Returns a list of species for which there exists data in the probability table used.""" return self._included_species - def compound_probability( - self, structure: Structure, ignore_stoichiometry: bool = True - ) -> float: + def compound_probability(self, structure: Structure, ignore_stoichiometry: bool = True) -> float: """ calculate overall probability for structure or composition. Args: + ---- structure (pymatgen.Structure): Compound for which the probability score will be generated. Can also be a list of pymatgen or SMACT Species. ignore_stoichiometry (bool): Whether to weight probabilities by stoichiometry. - Defaults to false as decribed in the original paper. + Defaults to false as described in the original paper. Returns: + ------- compound_prob (float): Compound probability - """ + """ # Convert input to list of SMACT Species - if type(structure) == list: + if isinstance(structure, list): if all(isinstance(i, Species) for i in structure): pass elif all(isinstance(i, pmgSpecies) for i in structure): structure = [Species(i.symbol, i.oxi_state) for i in structure] else: - raise TypeError( - "Input requires a list of SMACT or Pymatgen species." - ) - elif type(structure) == Structure: + raise TypeError("Input requires a list of SMACT or Pymatgen species.") + elif isinstance(structure, Structure): species = structure.species if not all(isinstance(i, pmgSpecies) for i in species): raise TypeError("Structure must have oxidation states.") - else: - structure = [ - Species( - get_el_sp(i.species_string).symbol, - get_el_sp(i.species_string).oxi_state, - ) - for i in structure - ] + structure = [ + Species( + get_el_sp(i.species_string).symbol, + get_el_sp(i.species_string).oxi_state, + ) + for i in structure + ] else: - raise TypeError( - "Input requires a list of SMACT or Pymatgen Species or a Structure." - ) + raise TypeError("Input requires a list of SMACT or Pymatgen Species or a Structure.") # Put most electonegative element last in list by sorting by electroneg structure.sort(key=lambda x: x.pauling_eneg) @@ -172,8 +162,5 @@ def compound_probability( species_pairs = list(set(species_pairs)) # Do the maths - pair_probs = [ - self.pair_probability(pair[0], pair[1]) for pair in species_pairs - ] - compound_prob = mean(pair_probs) - return compound_prob + pair_probs = [self.pair_probability(pair[0], pair[1]) for pair in species_pairs] + return mean(pair_probs) diff --git a/smact/properties.py b/smact/properties.py index 8ccd52f1..e96ea569 100644 --- a/smact/properties.py +++ b/smact/properties.py @@ -1,4 +1,6 @@ -from typing import List, Optional, Union +"""A collection of tools for estimating physical properties based on chemical composition.""" + +from __future__ import annotations import numpy as np @@ -6,31 +8,32 @@ from smact.utils.composition import parse_formula -def eneg_mulliken(element: Union[smact.Element, str]) -> float: - """Get Mulliken electronegativity from the IE and EA. +def eneg_mulliken(element: smact.Element | str) -> float: + """ + Get Mulliken electronegativity from the IE and EA. Arguments: - symbol (smact.Element or str): Element object or symbol + --------- + element (smact.Element or str): Element object or symbol Returns: + ------- mulliken (float): Mulliken electronegativity """ - if type(element) == str: + if isinstance(element, str): element = smact.Element(element) - elif type(element) != smact.Element: - raise Exception(f"Unexpected type: {type(element)}") + elif not isinstance(element, smact.Element): + raise TypeError(f"Unexpected type: {type(element)}") - mulliken = (element.ionpot + element.e_affinity) / 2.0 - - return mulliken + return (element.ionpot + element.e_affinity) / 2.0 def band_gap_Harrison( anion: str, cation: str, verbose: bool = False, - distance: Optional[Union[float, str]] = None, + distance: float | str | None = None, ) -> float: """ Estimates the band gap from elemental data. @@ -40,19 +43,19 @@ def band_gap_Harrison( Solids: The Physics of the Chemical Bond". Args: - Anion (str): Element symbol of the dominant anion in the system - - Cation (str): Element symbol of the the dominant cation in the system - Distance (float or str): Nuclear separation between anion and cation + ---- + anion (str): Element symbol of the dominant anion in the system + cation (str): Element symbol of the the dominant cation in the system + distance (float or str): Nuclear separation between anion and cation i.e. sum of ionic radii verbose (bool) : An optional True/False flag. If True, additional - information is printed to the standard output. [Defult: False] + information is printed to the standard output. [Default: False] - Returns : + Returns: + ------- Band_gap (float): Band gap in eV """ - # Set constants hbarsq_over_m = 7.62 @@ -86,11 +89,12 @@ def band_gap_Harrison( def compound_electroneg( verbose: bool = False, - elements: List[Union[str, smact.Element]] = None, - stoichs: List[Union[int, float]] = None, + elements: list[str | smact.Element] | None = None, + stoichs: list[int | float] | None = None, source: str = "Mulliken", ) -> float: - """Estimate electronegativity of compound from elemental data. + """ + Estimate electronegativity of compound from elemental data. Uses Mulliken electronegativity by default, which uses elemental ionisation potentials and electron affinities. Alternatively, can @@ -103,6 +107,7 @@ def compound_electroneg( X_Cu2S = (X_Cu * X_Cu * C_S)^(1/3) Args: + ---- elements (list) : Elements given as standard elemental symbols. stoichs (list) : Stoichiometries, given as integers or floats. verbose (bool) : An optional True/False flag. If True, additional information @@ -112,17 +117,16 @@ def compound_electroneg( rescaled to a Mulliken-like scale. Returns: + ------- Electronegativity (float) : Estimated electronegativity (no units). """ - if type(elements[0]) == str: + if isinstance(elements[0], str): elementlist = [smact.Element(i) for i in elements] - elif type(elements[0]) == smact.Element: + elif isinstance(elements[0], smact.Element): elementlist = elements else: - raise Exception( - "Please supply a list of element symbols or SMACT Element objects" - ) + raise TypeError("Please supply a list of element symbols or SMACT Element objects") stoichslist = stoichs # Convert stoichslist from string to float @@ -136,9 +140,7 @@ def compound_electroneg( elif source == "Pauling": elementlist = [(2.86 * el.pauling_eneg) for el in elementlist] else: - raise Exception( - f"Electronegativity type '{source}'", "is not recognised" - ) + raise Exception(f"Electronegativity type '{source}'", "is not recognised") # Print optional list of element electronegativities. # This may be a useful sanity check in case of a suspicious result. @@ -147,7 +149,7 @@ def compound_electroneg( # Raise each electronegativity to its appropriate power # to account for stoichiometry. - for i in range(0, len(elementlist)): + for i in range(len(elementlist)): elementlist[i] = [elementlist[i] ** stoichslist[i]] # Calculate geometric mean (n-th root of product) @@ -182,9 +184,7 @@ def get_element_valence(element: str) -> int: try: return smact.Element(element).num_valence_modified except NameError: - raise ValueError( - f"Valence data not found for element: {element}" - ) from None + raise ValueError(f"Valence data not found for element: {element}") from None element_stoich = parse_formula(compound) @@ -201,5 +201,4 @@ def get_element_valence(element: str) -> int: if total_stoich == 0: return 0.0 - vec = total_valence / total_stoich - return vec + return total_valence / total_stoich diff --git a/smact/screening.py b/smact/screening.py index dd700d18..ecbbd100 100644 --- a/smact/screening.py +++ b/smact/screening.py @@ -1,12 +1,16 @@ +"""A collection of tools for estimating physical properties +based on chemical composition. +""" + +from __future__ import annotations + import itertools import os import warnings -from collections import namedtuple from itertools import combinations -from typing import List, Optional, Tuple, Union +from typing import TYPE_CHECKING import numpy as np -import pymatgen from pymatgen.core import Composition import smact @@ -15,29 +19,26 @@ lookup_element_oxidation_states_custom as oxi_custom, ) -# Use named tuple to improve readability of smact_filter outputs -_allowed_compositions = namedtuple( - "Composition", ["element_symbols", "oxidation_states", "stoichiometries"] -) -_allowed_compositions_nonunique = namedtuple( - "Composition", ["element_symbols", "stoichiometries"] -) +if TYPE_CHECKING: + import pymatgen def pauling_test( - oxidation_states: List[int], - electronegativities: List[float], - symbols: List[str] = [], + oxidation_states: list[int], + electronegativities: list[float], + symbols: list[str] | None = None, repeat_anions: bool = True, repeat_cations: bool = True, threshold: float = 0.0, ): - """Check if a combination of ions makes chemical sense, + """ + Check if a combination of ions makes chemical sense, (i.e. positive ions should be of lower electronegativity). Args: - ox (list): oxidation states of elements in the compound - paul (list): the corresponding Pauling electronegativities + ---- + oxidation_states (list): oxidation states of elements in the compound + electronegativities (list): the corresponding Pauling electronegativities of the elements in the compound symbols (list) : chemical symbols of each site threshold (float): a tolerance for the allowed deviation from @@ -47,39 +48,37 @@ def pauling_test( repeat_cations : as above, but for cations Returns: + ------- bool: True if anions are more electronegative than cations, otherwise False - """ + """ + if symbols is None: + symbols = [] if repeat_anions and repeat_cations and threshold == 0.0: return eneg_states_test(oxidation_states, electronegativities) elif repeat_anions and repeat_cations: - return eneg_states_test_threshold( - oxidation_states, electronegativities, threshold=threshold - ) + return eneg_states_test_threshold(oxidation_states, electronegativities, threshold=threshold) - else: - if _no_repeats( - oxidation_states, - symbols, - repeat_anions=repeat_anions, - repeat_cations=repeat_cations, - ): - if threshold == 0.0: - return eneg_states_test(oxidation_states, electronegativities) - else: - return eneg_states_test_threshold( - oxidation_states, electronegativities, threshold=threshold - ) + elif _no_repeats( + oxidation_states, + symbols, + repeat_anions=repeat_anions, + repeat_cations=repeat_cations, + ): + if threshold == 0.0: + return eneg_states_test(oxidation_states, electronegativities) else: - return False + return eneg_states_test_threshold(oxidation_states, electronegativities, threshold=threshold) + else: + return False def _no_repeats( - oxidation_states: List[int], - symbols: List[str], + oxidation_states: list[int], + symbols: list[str], repeat_anions: bool = False, repeat_cations: bool = False, ): @@ -87,6 +86,7 @@ def _no_repeats( Check if any anion or cation appears twice. Args: + ---- oxidation_states (list): oxidation states of species symbols (list): chemical symbols corresponding to oxidation states @@ -95,7 +95,9 @@ def _no_repeats( repeat_cations (bool): if True, cations may be repeated (e.g. Cu in +1 and +2 states) - Returns: bool + Returns: + ------- + bool: True if no anion or cation is repeated, False otherwise """ if repeat_anions is False and repeat_cations is False: return len(symbols) == len(set(symbols)) @@ -106,28 +108,30 @@ def _no_repeats( cations.append(symbol) else: anions.append(symbol) - if not repeat_anions and len(anions) != len(set(anions)): - return False - elif not repeat_cations and len(cations) != len(set(cations)): - return False - else: - return True + return not ( + not repeat_anions + and len(anions) != len(set(anions)) + or not repeat_cations + and len(cations) != len(set(cations)) + ) def pauling_test_old( - ox: List[int], - paul: List[float], - symbols: List[str], + ox: list[int], + paul: list[float], + symbols: list[str], repeat_anions: bool = True, repeat_cations: bool = True, threshold: float = 0.0, ): - """Check if a combination of ions makes chemical sense, + """ + Check if a combination of ions makes chemical sense, (i.e. positive ions should be of lower Pauling electronegativity). This function should give the same results as pauling_test but is not optimised for speed. Args: + ---- ox (list): oxidation states of the compound paul (list): the corresponding Pauling electronegativities of the elements in the compound @@ -139,6 +143,7 @@ def pauling_test_old( repeat_cations : as above, but for cations. Returns: + ------- (bool): True if anions are more electronegative than cations, otherwise False @@ -175,15 +180,12 @@ def pauling_test_old( return False if max(positive) == min(negative): return False - if max(positive) - min(negative) > threshold: - return False - else: - return True + return not max(positive) - min(negative) > threshold -def eneg_states_test(ox_states: List[int], enegs: List[float]): +def eneg_states_test(ox_states: list[int], enegs: list[float]): """ - Internal function for checking electronegativity criterion + Internal function for checking electronegativity criterion. This implementation is fast as it 'short-circuits' as soon as it finds an invalid combination. However it may be that in some cases @@ -191,33 +193,36 @@ def eneg_states_test(ox_states: List[int], enegs: List[float]): this method and eneg_states_test_alternate. Args: + ---- ox_states (list): oxidation states corresponding to species in compound enegs (list): Electronegativities corresponding to species in compound Returns: + ------- bool : True if anions are more electronegative than cations, otherwise False """ - for (ox1, eneg1), (ox2, eneg2) in combinations( - list(zip(ox_states, enegs)), 2 - ): - if eneg1 is None or eneg2 is None: - return False - elif (ox1 > 0) and (ox2 < 0) and (eneg1 >= eneg2): - return False - elif (ox1 < 0) and (ox2 > 0) and (eneg1 <= eneg2): + for (ox1, eneg1), (ox2, eneg2) in combinations(list(zip(ox_states, enegs)), 2): + if ( + eneg1 is None + or eneg2 is None + or (ox1 > 0) + and (ox2 < 0) + and (eneg1 >= eneg2) + or (ox1 < 0) + and (ox2 > 0) + and (eneg1 <= eneg2) + ): return False - else: - return True + return True -def eneg_states_test_threshold( - ox_states: List[int], enegs: List[float], threshold: Optional[float] = 0 -): - """Internal function for checking electronegativity criterion +def eneg_states_test_threshold(ox_states: list[int], enegs: list[float], threshold: float | None = 0): + """ + Internal function for checking electronegativity criterion. This implementation is fast as it 'short-circuits' as soon as it finds an invalid combination. However it may be that in some cases @@ -228,6 +233,7 @@ def eneg_states_test_threshold( relaxed somewhat. Args: + ---- ox_states (list): oxidation states corresponding to species in compound enegs (list): Electronegativities corresponding to species in @@ -236,34 +242,40 @@ def eneg_states_test_threshold( the Pauling criterion Returns: + ------- bool : True if anions are more electronegative than cations, otherwise False """ - for (ox1, eneg1), (ox2, eneg2) in combinations( - list(zip(ox_states, enegs)), 2 - ): - if (ox1 > 0) and (ox2 < 0) and ((eneg1 - eneg2) > threshold): - return False - elif (ox1 < 0) and (ox2 > 0) and (eneg2 - eneg1) > threshold: + for (ox1, eneg1), (ox2, eneg2) in combinations(list(zip(ox_states, enegs)), 2): + if ( + (ox1 > 0) + and (ox2 < 0) + and ((eneg1 - eneg2) > threshold) + or (ox1 < 0) + and (ox2 > 0) + and (eneg2 - eneg1) > threshold + ): return False - else: - return True + return True -def eneg_states_test_alternate(ox_states: List[int], enegs: List[float]): - """Internal function for checking electronegativity criterion +def eneg_states_test_alternate(ox_states: list[int], enegs: list[float]): + """ + Internal function for checking electronegativity criterion. This implementation appears to be slightly slower than eneg_states_test, but further testing is needed. Args: + ---- ox_states (list): oxidation states corresponding to species in compound enegs (list): Electronegativities corresponding to species in compound Returns: + ------- bool : True if anions are more electronegative than cations, otherwise False @@ -278,10 +290,11 @@ def eneg_states_test_alternate(ox_states: List[int], enegs: List[float]): def ml_rep_generator( - composition: Union[List[Element], List[str]], - stoichs: Optional[List[int]] = None, + composition: list[Element] | list[str], + stoichs: list[int] | None = None, ): - """Function to take a composition of Elements and return a + """ + Function to take a composition of Elements and return a list of values between 0 and 1 that describes the composition, useful for machine learning. @@ -293,53 +306,57 @@ def ml_rep_generator( Inspired by the representation used by Legrain et al. DOI: 10.1021/acs.chemmater.7b00789 Args: + ---- composition (list): Element objects in composition OR symbols of elements in composition stoichs (list): Corresponding stoichiometries in the composition Returns: + ------- norm (list): List of floats representing the composition that sum to one """ - if stoichs == None: + if stoichs is None: stoichs = [1 for i, el in enumerate(composition)] ML_rep = [0 for i in range(1, 103)] - if type(composition[0]) == Element: + if isinstance(composition[0], Element): for element, stoich in zip(composition, stoichs): ML_rep[int(element.number) - 1] += stoich else: for element, stoich in zip(composition, stoichs): ML_rep[int(Element(element).number) - 1] += stoich - norm = [float(i) / sum(ML_rep) for i in ML_rep] - return norm + return [float(i) / sum(ML_rep) for i in ML_rep] def smact_filter( - els: Union[Tuple[Element], List[Element]], - threshold: Optional[int] = 8, - stoichs: Optional[List[List[int]]] = None, + els: tuple[Element] | list[Element], + threshold: int | None = 8, + stoichs: list[list[int]] | None = None, species_unique: bool = True, oxidation_states_set: str = "smact14", comp_tuple: bool = False, -) -> Union[List[Tuple[str, int, int]], List[Tuple[str, int]]]: +) -> list[tuple[str, int, int]] | list[tuple[str, int]]: """Function that applies the charge neutrality and electronegativity tests in one go for simple application in external scripts that wish to apply the general 'smact test'. .. warning:: - For backwards compatability in SMACT >=2.7, expllicitly set oxidation_states_set to 'smact14' if you wish to use the 2014 SMACT default oxidation states. + For backwards compatibility in SMACT >=2.7, expllicitly set oxidation_states_set to 'smact14' if you wish to use the 2014 SMACT default oxidation states. In SMACT 3.0, the smact_filter function will be set to use a new default oxidation states set. Args: + ---- els (tuple/list): A list of smact.Element objects threshold (int): Threshold for stoichiometry limit, default = 8 stoichs (list[int]): A selection of valid stoichiometric ratios for each site. species_unique (bool): Whether or not to consider elements in different oxidation states as unique in the results. oxidation_states_set (string): A string to choose which set of oxidation states should be chosen. Options are 'smact14', 'icsd', 'pymatgen' and 'wiki' for the 2014 SMACT default, 2016 ICSD, pymatgen structure predictor and Wikipedia (https://en.wikipedia.org/wiki/Template:List_of_oxidation_states_of_the_elements) oxidation states respectively. A filepath to an oxidation states text file can also be supplied as well. comp_tuple (bool): Whether or not to return the results as a named tuple of elements and stoichiometries (True) or as a normal tuple of elements and stoichiometries (False). + Returns: + ------- allowed_comps (list): Allowed compositions for that chemical system in the form [(elements), (oxidation states), (ratios)] if species_unique=True or in the form [(elements), (ratios)] if species_unique=False. @@ -347,8 +364,8 @@ def smact_filter( Example usage: >>> from smact.screening import smact_filter >>> from smact import Element - >>> els = (Element('Cs'), Element('Pb'), Element('I')) - >>> comps = smact_filter(els, threshold =5 ) + >>> els = (Element("Cs"), Element("Pb"), Element("I")) + >>> comps = smact_filter(els, threshold=5) >>> for comp in comps: >>> print(comp) [('Cs', 'Pb', 'I'), (1, -4, -1), (5, 1, 1)] @@ -361,14 +378,13 @@ def smact_filter( Example (using stoichs): >>> from smact.screening import smact_filter >>> from smact import Element - >>> comps = smact_filter(els, stoichs = [[1],[1],[3]], comp_tuple=True ) + >>> comps = smact_filter(els, stoichs=[[1], [1], [3]]) >>> for comp in comps: >>> print(comp) - Composition(element_symbols=('Cs', 'Pb', 'I'), oxidation_states=(1, 2, -1), stoichiometries=(1, 1, 3)) + [('Cs', 'Pb', 'I'), (1, 2, -1), (1, 1, 3)] """ - compositions = [] # Get symbols and electronegativities @@ -400,51 +416,40 @@ def smact_filter( for ox_states in itertools.product(*ox_combos): # Test for charge balance - cn_e, cn_r = neutral_ratios( - ox_states, stoichs=stoichs, threshold=threshold - ) + cn_e, cn_r = neutral_ratios(ox_states, stoichs=stoichs, threshold=threshold) # Electronegativity test if cn_e: electroneg_OK = pauling_test(ox_states, electronegs) if electroneg_OK: for ratio in cn_r: - compositions.append( - _allowed_compositions(symbols, ox_states, ratio) - if comp_tuple - else (symbols, ox_states, ratio) - ) + compositions.append((symbols, ox_states, ratio)) # Return list depending on whether we are interested in unique species combinations # or just unique element combinations. if species_unique: return compositions else: - if comp_tuple: - compositions = [ - _allowed_compositions_nonunique(i[0], i[2]) - for i in compositions - ] - else: - compositions = [(i[0], i[2]) for i in compositions] - compositions = list(set(compositions)) - return compositions + compositions = [(i[0], i[2]) for i in compositions] + return list(set(compositions)) def smact_validity( - composition: Union[pymatgen.core.Composition, str], + composition: pymatgen.core.Composition | str, use_pauling_test: bool = True, include_alloys: bool = True, - oxidation_states_set: Union[str, bytes, os.PathLike] = "smact14", + oxidation_states_set: str | bytes | os.PathLike = "smact14", ) -> bool: - """Check if a composition is valid according to the SMACT rules. + """ + Check if a composition is valid according to the SMACT rules. Composition is considered valid if it passes the charge neutrality test and the Pauling electronegativity test. .. warning:: - For backwards compatability in SMACT >=2.7, expllicitly set oxidation_states_set to 'smact14' if you wish to use the 2014 SMACT default oxidation states. + For backwards compatibility in SMACT >=2.7, expllicitly set oxidation_states_set to 'smact14' if you wish to use the 2014 SMACT default oxidation states. In SMACT 3.0, the smact_filter function will be set to use a new default oxidation states set. Args: + ---- composition (Union[pymatgen.core.Composition, str]): Composition/formula to check. This can be a pymatgen Composition object or a string. use_pauling_test (bool): Whether to use the Pauling electronegativity test include_alloys (bool): If True, compositions which only contain metal elements will be considered valid without further checks. @@ -455,6 +460,7 @@ def smact_validity( A filepath to an oxidation states text file can also be supplied. Returns: + ------- bool: True if the composition is valid, False otherwise """ @@ -486,9 +492,7 @@ def smact_validity( elif oxidation_states_set == "pymatgen": ox_combos = [e.oxidation_states_sp for e in smact_elems] elif os.path.exists(oxidation_states_set): - ox_combos = [ - oxi_custom(e.symbol, oxidation_states_set) for e in smact_elems - ] + ox_combos = [oxi_custom(e.symbol, oxidation_states_set) for e in smact_elems] elif oxidation_states_set == "wiki": warnings.warn( "This set of oxidation states is sourced from Wikipedia. The results from using this set could be questionable and should not be used unless you know what you are doing and have inspected the oxidation states.", @@ -508,9 +512,7 @@ def smact_validity( for ox_states in itertools.product(*ox_combos): stoichs = [(c,) for c in count] # Test for charge balance - cn_e, cn_r = smact.neutral_ratios( - ox_states, stoichs=stoichs, threshold=threshold - ) + cn_e, cn_r = smact.neutral_ratios(ox_states, stoichs=stoichs, threshold=threshold) # Electronegativity test if cn_e: if use_pauling_test: @@ -523,10 +525,7 @@ def smact_validity( electroneg_OK = True if electroneg_OK: for ratio in cn_r: - compositions.append(tuple([elem_symbols, ox_states, ratio])) + compositions.append((elem_symbols, ox_states, ratio)) compositions = [(i[0], i[2]) for i in compositions] compositions = list(set(compositions)) - if len(compositions) > 0: - return True - else: - return False + return len(compositions) > 0 diff --git a/smact/structure_prediction/__init__.py b/smact/structure_prediction/__init__.py index e3298a35..dd2016e7 100644 --- a/smact/structure_prediction/__init__.py +++ b/smact/structure_prediction/__init__.py @@ -1,5 +1,7 @@ """Minimalist ionic compound prediction tools for materials design.""" +from __future__ import annotations + import logging __author__ = "Alexander Moriarty" diff --git a/smact/structure_prediction/database.py b/smact/structure_prediction/database.py index 42f0d764..2b66b664 100644 --- a/smact/structure_prediction/database.py +++ b/smact/structure_prediction/database.py @@ -1,35 +1,44 @@ """Tools for database interfacing for high throughput IO.""" +from __future__ import annotations + import itertools -from multiprocessing import Pool from operator import itemgetter try: from pathos.pools import ParallelPool pathos_available = True + except ImportError: pathos_available = False + ParallelPool = None import sqlite3 -from typing import Dict, Generator, List, Optional, Sequence, Tuple, Union +from typing import TYPE_CHECKING -import pymatgen from pymatgen.ext.matproj import MPRester from . import logger from .structure import SmactStructure from .utilities import convert_next_gen_mprest_data, get_sign +if TYPE_CHECKING: + from collections.abc import Sequence + + import pymatgen + class StructureDB: - """SQLite Structure Database interface. + """ + SQLite Structure Database interface. Acts as a context manager for database interfacing and wraps several useful SQLite commands within methods. Attributes: + ---------- db: The database name. conn: The database connection. Only open when used as a context manager. @@ -37,9 +46,10 @@ class StructureDB: when class implemented as context manager. Examples: + -------- Connecting to a database in memory: - >>> DB = StructureDB(':memory:') + >>> DB = StructureDB(":memory:") >>> with DB as c: ... _ = c.execute("CREATE TABLE test (id, val)") ... c.execute("SELECT * FROM test").fetchall() @@ -52,9 +62,11 @@ class StructureDB: """ def __init__(self, db: str): - """Set database name. + """ + Set database name. Args: + ---- db (str): The name of the database. Can also be ':memory:' to connect to a database in RAM. @@ -62,9 +74,11 @@ def __init__(self, db: str): self.db = db def __enter__(self) -> sqlite3.Cursor: - """Initialize database connection. + """ + Initialize database connection. Returns: + ------- An SQLite cursor for interfacing with the database. """ @@ -74,7 +88,8 @@ def __enter__(self) -> sqlite3.Cursor: return self.cur def __exit__(self, exc_type, *args): - """Close database connection. + """ + Close database connection. Commits all changes before closing. Alternatively, rolls back any changes if an exception @@ -91,19 +106,20 @@ def __exit__(self, exc_type, *args): def add_mp_icsd( self, table: str, - mp_data: Optional[ - List[Dict[str, Union[pymatgen.core.Structure, str]]] - ] = None, - mp_api_key: Optional[str] = None, + mp_data: list[dict[str, pymatgen.core.Structure | str]] | None = None, + mp_api_key: str | None = None, ) -> int: - """Add a table populated with Materials Project-hosted ICSD structures. + """ + Add a table populated with Materials Project-hosted ICSD structures. Note: + ---- This is very computationally expensive for large datasets and will not likely run on a laptop. If possible, download a pre-constructed database. Args: + ---- table (str): The name of the table to add. mp_data: The Materials Project data to parse. If this is None, data will be downloaded. Downloading data needs `mp_api_key` to be set. @@ -111,6 +127,7 @@ def add_mp_icsd( is None. Returns: + ------- The number of structs added. """ @@ -122,9 +139,7 @@ def add_mp_icsd( properties=["structure", "material_id"], ) except NotImplementedError: - docs = m.summary.search( - theoretical=False, fields=["structure", "material_id"] - ) + docs = m.summary.search(theoretical=False, fields=["structure", "material_id"]) data = [convert_next_gen_mprest_data(doc) for doc in docs] else: data = mp_data @@ -140,9 +155,11 @@ def add_mp_icsd( return self.add_structs(parse_iter, table, commit_after_each=True) def add_table(self, table: str): - """Add a table to the database. + """ + Add a table to the database. Args: + ---- table: The name of the table to add """ @@ -153,9 +170,11 @@ def add_table(self, table: str): ) def add_struct(self, struct: SmactStructure, table: str): - """Add a SmactStructure to a table. + """ + Add a SmactStructure to a table. Args: + ---- struct: The :class:`~.SmactStructure` to add. table: The name of the table to add the structure to. @@ -169,11 +188,13 @@ def add_structs( self, structs: Sequence[SmactStructure], table: str, - commit_after_each: Optional[bool] = False, + commit_after_each: bool | None = False, ) -> int: - """Add several SmactStructures to a table. + """ + Add several SmactStructures to a table. Args: + ---- structs: Iterable of :class:`~.SmactStructure` s to add to table. table: The name of the table to add the structs to. commit_after_each (bool, optional): Whether to commit the addition @@ -184,6 +205,7 @@ def add_structs( Defaults to False. Returns: + ------- The number of structures added. """ @@ -202,15 +224,18 @@ def add_structs( return num - def get_structs(self, composition: str, table: str) -> List[SmactStructure]: - """Get SmactStructures for a given composition. + def get_structs(self, composition: str, table: str) -> list[SmactStructure]: + """ + Get SmactStructures for a given composition. Args: + ---- composition: The composition to search for. See :meth:`SmactStructure.composition`. table: The name of the table in which to search. Returns: + ------- A list of :class:`~.SmactStructure` s. """ @@ -224,16 +249,19 @@ def get_structs(self, composition: str, table: str) -> List[SmactStructure]: def get_with_species( self, - species: List[Tuple[str, int]], + species: list[tuple[str, int]], table: str, - ) -> List[SmactStructure]: - """Get SmactStructures containing given species. + ) -> list[SmactStructure]: + """ + Get SmactStructures containing given species. Args: + ---- species: A list of species as tuples, in (element, charge) format. table: The name of the table from which to get the species. Returns: + ------- A list of :class:`SmactStructure` s in the table that contain the species. """ @@ -244,11 +272,7 @@ def get_with_species( species.sort(key=itemgetter(0)) # Generate a list of [element1, charge1, sign1, element2, ...] - vals = list( - itertools.chain.from_iterable( - [x[0], abs(x[1]), get_sign(x[1])] for x in species - ) - ) + vals = list(itertools.chain.from_iterable([x[0], abs(x[1]), get_sign(x[1])] for x in species)) glob_form = glob.format(*vals) @@ -263,12 +287,14 @@ def get_with_species( def parse_mprest( - data: Dict[str, Union[pymatgen.core.Structure, str]], + data: dict[str, pymatgen.core.Structure | str], determine_oxi: str = "BV", ) -> SmactStructure: - """Parse MPRester query data to generate structures. + """ + Parse MPRester query data to generate structures. Args: + ---- data: A dictionary containing the keys 'structure' and 'material_id', with the associated values. determine_oxi (str): The method to determine the assignments oxidation states in the structure. @@ -276,6 +302,7 @@ def parse_mprest( ICSD statistics or trial both sequentially, respectively. Returns: + ------- An oxidation-state-decorated :class:`SmactStructure`. """ @@ -285,11 +312,7 @@ def parse_mprest( data = convert_next_gen_mprest_data(data) try: - return SmactStructure.from_py_struct( - data["structure"], determine_oxi="BV" - ) + return SmactStructure.from_py_struct(data["structure"], determine_oxi="BV") except: # Couldn't decorate with oxidation states - logger.warn( - f"Couldn't decorate {data['material_id']} with oxidation states." - ) + logger.warn(f"Couldn't decorate {data['material_id']} with oxidation states.") diff --git a/smact/structure_prediction/mutation.py b/smact/structure_prediction/mutation.py index 41667506..df9068e5 100644 --- a/smact/structure_prediction/mutation.py +++ b/smact/structure_prediction/mutation.py @@ -1,23 +1,29 @@ """Tools for handling ion mutation.""" +from __future__ import annotations + import itertools import json import os -import re from copy import deepcopy from operator import itemgetter -from typing import Callable, Generator, Optional, Tuple +from typing import TYPE_CHECKING, Callable import numpy as np import pandas as pd import pymatgen.analysis.structure_prediction as pymatgen_sp -from .structure import SmactStructure from .utilities import parse_spec +if TYPE_CHECKING: + from collections.abc import Generator + + from .structure import SmactStructure + class CationMutator: - """Handles cation mutation of SmactStructures based on substitution probability. + """ + Handles cation mutation of SmactStructures based on substitution probability. Based on the algorithm presented in: Hautier, G., Fischer, C., Ehrlacher, V., Jain, A., and Ceder, G. (2011) @@ -30,11 +36,13 @@ class CationMutator: def __init__( self, lambda_df: pd.DataFrame, - alpha: Optional[Callable[[str, str], float]] = (lambda s1, s2: -5.0), + alpha: Callable[[str, str], float] | None = (lambda s1, s2: -5.0), ): - """Assign attributes and get lambda table. + """ + Assign attributes and get lambda table. Args: + ---- lambda_df: A pandas DataFrame, with column and index labels as species strings and lambda values as entries. alpha: A function to call to fill in missing lambda values. @@ -47,11 +55,7 @@ def __init__( """ self.lambda_tab = lambda_df - self.specs = set( - itertools.chain.from_iterable( - set(getattr(self.lambda_tab, x)) for x in ["columns", "index"] - ) - ) + self.specs = set(itertools.chain.from_iterable(set(getattr(self.lambda_tab, x)) for x in ["columns", "index"])) self.alpha = alpha @@ -62,12 +66,14 @@ def __init__( @staticmethod def from_json( - lambda_json: Optional[str] = None, - alpha: Optional[Callable[[str, str], float]] = (lambda s1, s2: -5.0), + lambda_json: str | None = None, + alpha: Callable[[str, str], float] | None = (lambda s1, s2: -5.0), ): - """Create a CationMutator instance from a DataFrame. + """ + Create a CationMutator instance from a DataFrame. Args: + ---- lambda_json (str, optional): JSON-style representation of the lambda table. This is a list of entries, containing pairs and their associated lambda values. @@ -77,6 +83,7 @@ def from_json( alpha: See :meth:`__init__`. Returns: + ------- A :class:`CationMutator` instance. """ @@ -98,12 +105,13 @@ def from_json( lambda_dat = [tuple(x) for x in lambda_dat] lambda_df = pd.DataFrame(lambda_dat) - lambda_df = lambda_df.pivot(index=0, columns=1, values=2) + lambda_df = lambda_df.pivot_table(index=0, columns=1, values=2) return CationMutator(lambda_df, alpha) def _populate_lambda(self): - """Populate lambda table. + """ + Populate lambda table. Ensures no values are NaN and performs alpha calculations, such that an entry exists for every possible species @@ -116,18 +124,18 @@ def _populate_lambda(self): def add_alpha(s1, s2): """Add an alpha value to the lambda table at both coordinates.""" a = self.alpha(s1, s2) - self.lambda_tab.at[s1, s2] = a - self.lambda_tab.at[s2, s1] = a + self.lambda_tab.loc[s1, s2] = a + self.lambda_tab.loc[s2, s1] = a def mirror_lambda(s1, s2): """Mirror the lambda value at (s2, s1) into (s1, s2).""" - self.lambda_tab.at[s1, s2] = self.lambda_tab.at[s2, s1] + self.lambda_tab.loc[s1, s2] = self.lambda_tab.loc[s2, s1] for s1, s2 in pairs: try: - if np.isnan(self.lambda_tab.at[s1, s2]): + if np.isnan(self.lambda_tab.loc[s1, s2]): try: - if not np.isnan(self.lambda_tab.at[s2, s1]): + if not np.isnan(self.lambda_tab.loc[s2, s1]): mirror_lambda(s1, s2) else: add_alpha(s1, s2) @@ -137,7 +145,7 @@ def mirror_lambda(s1, s2): mirror_lambda(s2, s1) except KeyError: try: - if np.isnan(self.lambda_tab.at[s2, s1]): + if np.isnan(self.lambda_tab.loc[s2, s1]): add_alpha(s1, s2) else: mirror_lambda(s1, s2) @@ -149,31 +157,37 @@ def mirror_lambda(s1, s2): self.lambda_tab = self.lambda_tab[idx] def get_lambda(self, s1: str, s2: str) -> float: - """Get lambda values corresponding to a pair of species. + """ + Get lambda values corresponding to a pair of species. Args: + ---- s1 (str): One of the species. s2 (str): The other species. Returns: + ------- lambda (float): The lambda value, if it exists in the table. Otherwise, the alpha value for the two species. """ if {s1, s2} <= self.specs: - return self.lambda_tab.at[s1, s2] + return self.lambda_tab.loc[s1, s2] return self.alpha(s1, s2) def get_lambdas(self, species: str) -> pd.Series: - """Get all the lambda values associated with a species. + """ + Get all the lambda values associated with a species. Args: + ---- species (str): The species for which to get the lambda values. Returns: + ------- A pandas Series, with index-labelled lambda entries. """ @@ -188,7 +202,8 @@ def _mutate_structure( init_species: str, final_species: str, ) -> SmactStructure: - """Mutate a species within a SmactStructure. + """ + Mutate a species within a SmactStructure. Replaces all instances of the species within the structure. Every site occupied by the species @@ -199,16 +214,20 @@ def _mutate_structure( Requires the species to have the same charge. Note: + ---- Creates a deepcopy of the supplied structure, such that the original instance is not modified. Args: + ---- + structure (SmactStructure): The structure to mutate. init_species (str): The species within the structure to mutate. final_species (str): The species to replace the initial species with. Returns: + ------- A :class:`.~SmactStructure`, with the species mutated. @@ -237,12 +256,8 @@ def _mutate_structure( # Replace sites struct_buff.sites[final_species] = struct_buff.sites.pop(init_species) # And sort - species_strs = struct_buff._format_style("{ele}{charge}{sign}").split( - " " - ) - struct_buff.sites = { - spec: struct_buff.sites[spec] for spec in species_strs - } + species_strs = struct_buff._format_style("{ele}{charge}{sign}").split(" ") + struct_buff.sites = {spec: struct_buff.sites[spec] for spec in species_strs} return struct_buff @@ -252,12 +267,15 @@ def _nary_mutate_structure( init_species: list, final_species: list, ) -> SmactStructure: - """Perform a n-ary mutation of a SmactStructure (n>1). + """ + Perform a n-ary mutation of a SmactStructure (n>1). Replaces all instances of a group of species within the structure. Stoichiometry is maintained. Charge neutrality is preserved, but the species pair do not need the same charge. Args: + ---- + structure (SmactStructure): The structure to mutate. init_species (list): A list of species within the structure to mutate. final_species (list): The list of species to replace the initial species with @@ -268,9 +286,7 @@ def _nary_mutate_structure( struct_buff = deepcopy(structure) init_spec_tup_list = [parse_spec(i) for i in init_species] struct_spec_tups = list(map(itemgetter(0, 1), struct_buff.species)) - spec_loc = [ - struct_spec_tups.index(init_spec_tup_list[i]) for i in range(n) - ] + spec_loc = [struct_spec_tups.index(init_spec_tup_list[i]) for i in range(n)] final_spec_tup_list = [parse_spec(i) for i in final_species] @@ -291,17 +307,11 @@ def _nary_mutate_structure( # Replace sites for i in range(n): - struct_buff.sites[final_species[i]] = struct_buff.sites.pop( - init_species[i] - ) + struct_buff.sites[final_species[i]] = struct_buff.sites.pop(init_species[i]) # And sort - species_strs = struct_buff._format_style("{ele}{charge}{sign}").split( - " " - ) - struct_buff.sites = { - spec: struct_buff.sites[spec] for spec in species_strs - } + species_strs = struct_buff._format_style("{ele}{charge}{sign}").split(" ") + struct_buff.sites = {spec: struct_buff.sites[spec] for spec in species_strs} return struct_buff @@ -310,7 +320,8 @@ def sub_prob(self, s1: str, s2: str) -> float: return np.exp(self.get_lambda(s1, s2)) / self.Z def sub_probs(self, s1: str) -> pd.Series: - """Determine the substitution probabilities of a species with others. + """ + Determine the substitution probabilities of a species with others. Determines the probability of substitution of the species with every species in the lambda table. @@ -346,7 +357,7 @@ def complete_pair_corrs(self) -> pd.DataFrame: return corr def same_spec_probs(self) -> pd.Series: - """Calculate the same species substiution probabilities.""" + """Calculate the same species substitution probabilities.""" return ( np.exp( pd.Series( @@ -358,10 +369,8 @@ def same_spec_probs(self) -> pd.Series: ) def same_spec_cond_probs(self) -> pd.Series: - """Calculate the same species conditional substiution probabilities.""" - return np.exp(self.lambda_tab.to_numpy().diagonal()) / np.exp( - self.lambda_tab - ).sum(axis=0) + """Calculate the same species conditional substitution probabilities.""" + return np.exp(self.lambda_tab.to_numpy().diagonal()) / np.exp(self.lambda_tab).sum(axis=0) def pair_corr(self, s1: str, s2: str) -> float: """Determine the pair correlation of two ionic species.""" @@ -372,12 +381,11 @@ def pair_corr(self, s1: str, s2: str) -> float: def cond_sub_prob(self, s1: str, s2: str) -> float: """Calculate the probability of substitution of one species with another.""" - return ( - np.exp(self.get_lambda(s1, s2)) / np.exp(self.get_lambdas(s2)).sum() - ) + return np.exp(self.get_lambda(s1, s2)) / np.exp(self.get_lambdas(s2)).sum() def cond_sub_probs(self, s1: str) -> pd.Series: - """Calculate the probabilities of substitution of a given species. + """ + Calculate the probabilities of substitution of a given species. Calculates probabilities of substitution of given species with all others in the lambda table. @@ -391,16 +399,19 @@ def cond_sub_probs(self, s1: str) -> pd.Series: def unary_substitute( self, structure: SmactStructure, - thresh: Optional[float] = 1e-5, - ) -> Generator[Tuple[SmactStructure, float], None, None]: - """Find all structures with 1 substitution with probability above a threshold. + thresh: float | None = 1e-5, + ) -> Generator[tuple[SmactStructure, float], None, None]: + """ + Find all structures with 1 substitution with probability above a threshold. Args: + ---- structure: A :class:`SmactStructure` instance from which to generate compounds. thresh (float): The probability threshold; discard all substitutions that have a probability to generate a naturally-occuring compound less than this. Yields: + ------ Tuples of (:class:`SmactStructure`, probability). """ diff --git a/smact/structure_prediction/prediction.py b/smact/structure_prediction/prediction.py index 5fedfd28..5baf1cfc 100644 --- a/smact/structure_prediction/prediction.py +++ b/smact/structure_prediction/prediction.py @@ -1,6 +1,8 @@ -"""Structure prediction implementation. +""" +Structure prediction implementation. Todo: +---- * Test with a fully populated database. * Implement n-ary substitution probabilities; at the moment, only zero- and single-species @@ -8,19 +10,26 @@ """ +from __future__ import annotations + import itertools -from typing import Generator, List, Optional, Tuple +from typing import TYPE_CHECKING import numpy as np -from .database import StructureDB -from .mutation import CationMutator -from .structure import SmactStructure from .utilities import parse_spec, unparse_spec +if TYPE_CHECKING: + from collections.abc import Generator + + from .database import StructureDB + from .mutation import CationMutator + from .structure import SmactStructure + class StructurePredictor: - """Provides structure prediction functionality. + """ + Provides structure prediction functionality. Implements a statistically-based model for determining likely structures of a given composition, based on a @@ -35,14 +44,14 @@ class StructurePredictor: """ - def __init__( - self, mutator: CationMutator, struct_db: StructureDB, table: str - ): - """Initialize class. + def __init__(self, mutator: CationMutator, struct_db: StructureDB, table: str): + """ + Initialize class. Args: + ---- mutator: A :class:`CationMutator` for probability calculations. - struct_db: A :class:`StructureDB` from which to read strucutures + struct_db: A :class:`StructureDB` from which to read structures to attempt to mutate. table: The table to reference within the database @@ -53,13 +62,15 @@ def __init__( def predict_structs( self, - species: List[Tuple[str, int]], - thresh: Optional[float] = 1e-3, - include_same: Optional[bool] = True, - ) -> Generator[Tuple[SmactStructure, float, SmactStructure], None, None]: - """Predict structures for a combination of species. + species: list[tuple[str, int]], + thresh: float | None = 1e-3, + include_same: bool | None = True, + ) -> Generator[tuple[SmactStructure, float, SmactStructure], None, None]: + """ + Predict structures for a combination of species. Args: + ---- species: A list of (element, charge). The constituent species of the target compound. thresh: The probability threshold, below which to discard @@ -69,6 +80,7 @@ def predict_structs( same species. Defaults to True. Yields: + ------ Potential structures, as tuples of (structure, probability, parent). """ @@ -82,9 +94,9 @@ def predict_structs( sub_spec = itertools.combinations(species, len(species) - 1) sub_spec = list(map(list, sub_spec)) - potential_unary_parents: List[List[SmactStructure]] = list( + potential_unary_parents: list[list[SmactStructure]] = [ self.db.get_with_species(specs, self.table) for specs in sub_spec - ) + ] for spec_idx, parents in enumerate(potential_unary_parents): # Get missing ion @@ -110,20 +122,9 @@ def predict_structs( # Determine probability # Get species to be substituted # Ensure only 1 species is obtained - if ( - len( - set(parent.get_spec_strs()) - - set(map(unparse_spec, species)) - - {diff_spec_str} - ) - > 1 - ): + if len(set(parent.get_spec_strs()) - set(map(unparse_spec, species)) - {diff_spec_str}) > 1: continue - (alt_spec,) = ( - set(parent.get_spec_strs()) - - set(map(unparse_spec, species)) - - {diff_spec_str} - ) + (alt_spec,) = set(parent.get_spec_strs()) - set(map(unparse_spec, species)) - {diff_spec_str} if parse_spec(alt_spec)[1] != diff_spec[1]: # Different charge @@ -137,30 +138,28 @@ def predict_structs( if p > thresh: try: - mutated = self.cm._mutate_structure( - parent, alt_spec, diff_spec_str - ) + self.cm._mutate_structure(parent, alt_spec, diff_spec_str) except ValueError: # Poorly decorated continue yield ( - self.cm._mutate_structure( - parent, alt_spec, diff_spec_str - ), + self.cm._mutate_structure(parent, alt_spec, diff_spec_str), p, parent, ) def nary_predict_structs( self, - species: List[Tuple[str, int]], - n_ary: Optional[int] = 2, - thresh: Optional[float] = 1e-3, - include_same: Optional[bool] = True, - ) -> Generator[Tuple[SmactStructure, float, SmactStructure], None, None]: - """Predicts structures for a combination of species. + species: list[tuple[str, int]], + n_ary: int | None = 2, + thresh: float | None = 1e-3, + include_same: bool | None = True, + ) -> Generator[tuple[SmactStructure, float, SmactStructure], None, None]: + """ + Predicts structures for a combination of species. Args: + ---- species: A list of (element, charge). The constituent species of the target compound. thresh: The probability threshold, below which to discard predictions. @@ -169,9 +168,10 @@ def nary_predict_structs( i.e. structures containing all the same species. Yields: + ------ Potential structures, as tuples of (structure, probability, parent). - """ + """ if include_same: for identical in self.db.get_with_species(species, self.table): yield (identical, 1.0, identical) @@ -182,9 +182,9 @@ def nary_predict_structs( sub_species = itertools.combinations(species, len(species) - n_ary) sub_species = list(map(list, sub_species)) - potential_nary_parents: List[List[SmactStructure]] = list( + potential_nary_parents: list[list[SmactStructure]] = [ self.db.get_with_species(specs, self.table) for specs in sub_species - ) + ] for spec_idx, parents in enumerate(potential_nary_parents): # Get missing ions @@ -197,76 +197,58 @@ def nary_predict_structs( diff_sub_probs = [self.cm.cond_sub_probs(i) for i in diff_spec_str] - for parent in parents: - # print("testing parent") - # Filter out any structures with identical species - if n_ary == 1: - if parent.has_species(diff_species[0]): - continue - elif n_ary == 2: - if parent.has_species(diff_species[0]) and parent.has_species( - diff_species[1] - ): - continue - elif n_ary == 3: - if ( + for parent in parents: + # print("testing parent") + # Filter out any structures with identical species + if n_ary == 1: + if parent.has_species(diff_species[0]): + continue + elif n_ary == 2: + if parent.has_species(diff_species[0]) and parent.has_species(diff_species[1]): + continue + elif n_ary == 3 and ( parent.has_species(diff_species[0]) and parent.has_species(diff_species[1]) and parent.has_species(diff_species[2]) ): continue - # Ensure parent has as many species as target - if len(parent.species) != len(species): - continue + # Ensure parent has as many species as target + if len(parent.species) != len(species): + continue - # Determine probability - # Get species to be substituted - # Ensure n species are obtained - - if ( - len( - set(parent.get_spec_strs()) - - set(map(unparse_spec, species)) - - set(diff_species) - ) - != n_ary - ): - continue - alt_spec = list( - set(parent.get_spec_strs()) - - set(map(unparse_spec, species)) - - set(diff_species) - ) - - # Need to consider p(A,X)p(B,Y) and p(A,Y)p(B,X) - # if utilities.parse_spec(alt_spec_1)[1] != diff_species_1[1] and utilities.parse_spec(alt_spec_2)[1] != diff_species_2[1] : - # Different charge - # continue + # Determine probability + # Get species to be substituted + # Ensure n species are obtained - try: - p = [] - for i in range(n_ary): - p.append(diff_sub_probs[i].loc[alt_spec[i]]) - except: - # Not in the Series - continue + if len(set(parent.get_spec_strs()) - set(map(unparse_spec, species)) - set(diff_species)) != n_ary: + continue + alt_spec = list(set(parent.get_spec_strs()) - set(map(unparse_spec, species)) - set(diff_species)) - p = np.prod(p) + # Need to consider p(A,X)p(B,Y) and p(A,Y)p(B,X) + # if utilities.parse_spec(alt_spec_1)[1] != diff_species_1[1] and utilities.parse_spec(alt_spec_2)[1] != diff_species_2[1] : + # Different charge + # continue - if p > thresh: try: - mutated = self.cm._nary_mutate_structure( - parent, alt_spec, diff_spec_str - ) - - except ValueError: - # Poorly decorated + p = [] + for i in range(n_ary): + p.append(diff_sub_probs[i].loc[alt_spec[i]]) + except: + # Not in the Series continue - yield ( - self.cm._nary_mutate_structure( - parent, alt_spec, diff_spec_str - ), - p, - parent, - ) + + p = np.prod(p) + + if p > thresh: + try: + self.cm._nary_mutate_structure(parent, alt_spec, diff_spec_str) + + except ValueError: + # Poorly decorated + continue + yield ( + self.cm._nary_mutate_structure(parent, alt_spec, diff_spec_str), + p, + parent, + ) diff --git a/smact/structure_prediction/probability_models.py b/smact/structure_prediction/probability_models.py index 4b6a8bb2..64900f5c 100644 --- a/smact/structure_prediction/probability_models.py +++ b/smact/structure_prediction/probability_models.py @@ -1,4 +1,5 @@ -"""Probability models for species substitution. +""" +Probability models for species substitution. Implements base class :class:`SubstitutionModel`, which can be extended to allow for development of new @@ -6,6 +7,7 @@ :class:`RadiusModel`, is also implemented. Todo: +---- * Allow for parallelism in lambda table calculations by implementing a `sub_probs` abstractmethod that :meth:`SubstitutionModel.gen_lambda` uses, @@ -13,10 +15,11 @@ """ +from __future__ import annotations + import abc import os from itertools import combinations_with_replacement -from typing import Dict, List, Optional import pandas as pd @@ -30,24 +33,30 @@ class SubstitutionModel(abc.ABC): @abc.abstractmethod def sub_prob(self, s1: str, s2: str) -> float: - """Calculate the probability of substituting species s1 for s2. + """ + Calculate the probability of substituting species s1 for s2. Args: + ---- s1: The species being substituted. s2: The species substituting. Returns: + ------- The probability of substitution. """ - def gen_lambda(self, species: List[str]) -> pd.DataFrame: - """Generate a lambda table for a list of species. + def gen_lambda(self, species: list[str]) -> pd.DataFrame: + """ + Generate a lambda table for a list of species. Args: + ---- species: A list of species strings. Returns: + ------- A pivot table-style DataFrame containing lambda values for every possible species pair. @@ -62,14 +71,15 @@ def gen_lambda(self, species: List[str]) -> pd.DataFrame: lambda_tab.append((s2, s1, prob)) df = pd.DataFrame(lambda_tab) - return df.pivot(index=0, columns=1, values=2) + return df.pivot_table(index=0, columns=1, values=2) class RadiusModel(SubstitutionModel): """Substitution probability model based on Shannon radii.""" def __init__(self): - r"""Parse Shannon radii data file. + r""" + Parse Shannon radii data file. Also calculates "spring constant", _k_, based on maximum difference in Shannon radii: @@ -82,13 +92,11 @@ def __init__(self): self.shannon_data = pd.read_csv(shannon_file, index_col=0) - self.k = ( - self.shannon_data["ionic_radius"].max() - - self.shannon_data["ionic_radius"].min() - ) ** -2 + self.k = (self.shannon_data["ionic_radius"].max() - self.shannon_data["ionic_radius"].min()) ** -2 def sub_prob(self, s1, s2): - r"""Calculate the probability of substituting species s1 for s2. + r""" + Calculate the probability of substituting species s1 for s2. Based on the difference in Shannon radii, the probability is assumed to be: @@ -97,10 +105,12 @@ def sub_prob(self, s1, s2): p = 1 - k \Delta r^2. Args: + ---- s1: The species being substituted. s2: The species substituting. Returns: + ------- The probability of substitution. """ diff --git a/smact/structure_prediction/structure.py b/smact/structure_prediction/structure.py index 0f072b35..202b97fe 100644 --- a/smact/structure_prediction/structure.py +++ b/smact/structure_prediction/structure.py @@ -1,12 +1,12 @@ """Minimalist structure representation for comprehensible manipulation.""" -import logging +from __future__ import annotations + import re from collections import defaultdict from functools import reduce from math import gcd from operator import itemgetter -from typing import Dict, List, Optional, Tuple, Union import numpy as np import pymatgen @@ -18,12 +18,12 @@ import smact -from . import logger from .utilities import convert_next_gen_mprest_data, get_sign class SmactStructure: - """SMACT implementation inspired by pymatgen Structure class. + """ + SMACT implementation inspired by pymatgen Structure class. Handles basic structural and compositional information for a compound. Includes a lossless POSCAR-style specification for storing structures, @@ -31,6 +31,7 @@ class SmactStructure: from the `Materials Project `_. Attributes: + ---------- species: A list of tuples describing the composition of the structure, stored as (element, oxidation, stoichiometry). The list is sorted alphabetically based on element symbol, and identical elements @@ -40,7 +41,7 @@ class SmactStructure: representation of the species and coords is a list of position vectors, given as lists of length 3. For example: - >>> s = SmactStructure.from_file('tests/files/NaCl.txt') + >>> s = SmactStructure.from_file("tests/files/NaCl.txt") >>> s.sites {'Cl1-': [[2.323624165, 1.643050405, 4.02463512]], 'Na1+': [[0.0, 0.0, 0.0]]} @@ -50,15 +51,17 @@ class SmactStructure: def __init__( self, - species: List[Union[Tuple[str, int, int], Tuple[smact.Species, int]]], + species: list[tuple[str, int, int] | tuple[smact.Species, int]], lattice_mat: np.ndarray, - sites: Dict[str, List[List[float]]], - lattice_param: Optional[float] = 1.0, - sanitise_species: Optional[bool] = True, + sites: dict[str, list[list[float]]], + lattice_param: float | None = 1.0, + sanitise_species: bool | None = True, ): - """Initialize structure with constituent species. + """ + Initialize structure with constituent species. Args: + ---- species: See :class:`~.SmactStructure`. May be supplied as either a list of (element, oxidation, stoichiometry) or (:class:`~smact.Species`, stoichiometry). lattice_mat: See :class:`~.SmactStructure`. @@ -69,20 +72,17 @@ def __init__( :meth:`~.from_mp`. """ - self.species = ( - self._sanitise_species(species) if sanitise_species else species - ) + self.species = self._sanitise_species(species) if sanitise_species else species self.lattice_mat = lattice_mat - self.sites = { - spec: sites[spec] for spec in self.get_spec_strs() - } # Sort sites + self.sites = {spec: sites[spec] for spec in self.get_spec_strs()} # Sort sites self.lattice_param = lattice_param def __repr__(self): - """Represent the structure as a POSCAR. + """ + Represent the structure as a POSCAR. Alias for :meth:`~.as_poscar`. @@ -90,12 +90,14 @@ def __repr__(self): return self.as_poscar() def __eq__(self, other): - """Determine equality of SmactStructures based on their attributes. + """ + Determine equality of SmactStructures based on their attributes. :attr:`~.species`, :attr:`~.lattice_mat`, :attr:`~.lattice_param` and :attr:`~.sites` must all be equal for the comparison to be True. Note: + ---- For the SmactStructures to be equal their attributes must be *identical*. For example, it is insufficient that the two structures have the same space group or the same species; @@ -116,18 +118,22 @@ def __eq__(self, other): @staticmethod def _sanitise_species( - species: List[Union[Tuple[str, int, int], Tuple[smact.Species, int]]], - ) -> List[Tuple[str, int, int]]: - """Sanitise and format a list of species. + species: list[tuple[str, int, int] | tuple[smact.Species, int]], + ) -> list[tuple[str, int, int]]: + """ + Sanitise and format a list of species. Args: + ---- species: See :meth:`~.__init__`. Returns: + ------- sanit_species: Sanity-checked species in the format of a list of (element, oxidation, stoichiometry). Raises: + ------ TypeError: species contains the wrong types. ValueError: species is either empty or contains tuples of incorrect length. @@ -138,9 +144,7 @@ def _sanitise_species( if len(species) == 0: raise ValueError("`species` cannot be empty.") if not isinstance(species[0], tuple): - raise TypeError( - f"`species` must be a list of tuples, got list of {type(species[0])}." - ) + raise TypeError(f"`species` must be a list of tuples, got list of {type(species[0])}.") species_error = ( "`species` list of tuples must contain either " @@ -155,13 +159,9 @@ def _sanitise_species( species.sort(key=itemgetter(0)) sanit_species = species - elif isinstance( - species[0][0], smact.Species - ): # Species class variation of instantiation + elif isinstance(species[0][0], smact.Species): # Species class variation of instantiation species.sort(key=lambda x: (x[0].symbol, -x[0].oxidation)) - sanit_species = [ - (x[0].symbol, x[0].oxidation, x[1]) for x in species - ] + sanit_species = [(x[0].symbol, x[0].oxidation, x[1]) for x in species] else: raise TypeError(species_error) @@ -171,13 +171,16 @@ def _sanitise_species( @staticmethod def __parse_py_sites( structure: pymatgen.core.Structure, - ) -> Tuple[Dict[str, List[List[float]]], List[Tuple[str, int, int]]]: - """Parse the sites of a pymatgen Structure. + ) -> tuple[dict[str, list[list[float]]], list[tuple[str, int, int]]]: + """ + Parse the sites of a pymatgen Structure. Args: + ---- structure: A :class:`pymatgen.core.Structure` instance. Returns: + ------- sites (dict): In which a key is a species string and its corresponding value is a list of the coordinates that species occupies in the supercell. The coordinates @@ -188,9 +191,7 @@ def __parse_py_sites( """ if not isinstance(structure, pymatgen.core.Structure): - raise TypeError( - "structure must be a pymatgen.core.Structure instance." - ) + raise TypeError("structure must be a pymatgen.core.Structure instance.") sites = defaultdict(list) for site in structure.sites: @@ -230,25 +231,24 @@ def __parse_py_sites( return sites, species @staticmethod - def from_py_struct( - structure: pymatgen.core.Structure, determine_oxi: str = "BV" - ): - """Create a SmactStructure from a pymatgen Structure object. + def from_py_struct(structure: pymatgen.core.Structure, determine_oxi: str = "BV"): + """ + Create a SmactStructure from a pymatgen Structure object. Args: + ---- structure: A pymatgen Structure. determine_oxi (str): The method to determine the assignments oxidation states in the structure. Options are 'BV', 'comp_ICSD','both' for determining the oxidation states by bond valence, ICSD statistics or trial both sequentially, respectively. Returns: + ------- :class:`~.SmactStructure` """ if not isinstance(structure, pymatgen.core.Structure): - raise TypeError( - "Structure must be a pymatgen.core.Structure instance." - ) + raise TypeError("Structure must be a pymatgen.core.Structure instance.") if determine_oxi == "BV": bva = BVAnalyzer() @@ -256,9 +256,7 @@ def from_py_struct( elif determine_oxi == "comp_ICSD": comp = structure.composition - oxi_transform = OxidationStateDecorationTransformation( - comp.oxi_state_guesses()[0] - ) + oxi_transform = OxidationStateDecorationTransformation(comp.oxi_state_guesses()[0]) struct = oxi_transform.apply_transformation(structure) print("Charge assigned based on ICSD statistics") @@ -269,9 +267,7 @@ def from_py_struct( print("Oxidation states assigned using bond valence") except ValueError: comp = structure.composition - oxi_transform = OxidationStateDecorationTransformation( - comp.oxi_state_guesses()[0] - ) + oxi_transform = OxidationStateDecorationTransformation(comp.oxi_state_guesses()[0]) struct = oxi_transform.apply_transformation(structure) print("Oxidation states assigned based on ICSD statistics") elif determine_oxi == "predecorated": @@ -298,13 +294,15 @@ def from_py_struct( @staticmethod def from_mp( - species: List[Union[Tuple[str, int, int], Tuple[smact.Species, int]]], + species: list[tuple[str, int, int] | tuple[smact.Species, int]], api_key: str, determine_oxi: str = "BV", ): - """Create a SmactStructure using the first Materials Project entry for a composition. + """ + Create a SmactStructure using the first Materials Project entry for a composition. Args: + ---- species: See :meth:`~.__init__`. determine_oxi (str): The method to determine the assignments oxidation states in the structure. Options are 'BV', 'comp_ICSD','both' for determining the oxidation states by bond valence, @@ -312,6 +310,7 @@ def from_mp( api_key: A www.materialsproject.org API key. Returns: + ------- :class:`~.SmactStructure` """ @@ -333,25 +332,20 @@ def from_mp( if len(structs) == 0: raise ValueError( - "Could not find composition in Materials Project Database, " - "please supply a structure." + "Could not find composition in Materials Project Database, " "please supply a structure." ) # Default to first found structure struct = structs[0]["structure"] - if 0 not in ( - spec[1] for spec in sanit_species - ): # If everything's charged + if 0 not in (spec[1] for spec in sanit_species): # If everything's charged if determine_oxi == "BV": bva = BVAnalyzer() struct = bva.get_oxi_state_decorated_structure(struct) elif determine_oxi == "comp_ICSD": comp = struct.composition - oxi_transform = OxidationStateDecorationTransformation( - comp.oxi_state_guesses()[0] - ) + oxi_transform = OxidationStateDecorationTransformation(comp.oxi_state_guesses()[0]) struct = oxi_transform.apply_transformation(struct) print("Charge assigned based on ICSD statistics") @@ -362,9 +356,7 @@ def from_mp( print("Oxidation states assigned using bond valence") except ValueError: comp = struct.composition - oxi_transform = OxidationStateDecorationTransformation( - comp.oxi_state_guesses()[0] - ) + oxi_transform = OxidationStateDecorationTransformation(comp.oxi_state_guesses()[0]) struct = oxi_transform.apply_transformation(struct) print("Oxidation states assigned based on ICSD statistics") else: @@ -387,13 +379,16 @@ def from_mp( @staticmethod def from_file(fname: str): - """Create SmactStructure from a POSCAR file. + """ + Create SmactStructure from a POSCAR file. Args: + ---- fname: The name of the POSCAR file. See :meth:`~.as_poscar` for format specification. Returns: + ------- :class:`~.SmactStructure` """ @@ -402,13 +397,16 @@ def from_file(fname: str): @staticmethod def from_poscar(poscar: str): - """Create SmactStructure from a POSCAR string. + """ + Create SmactStructure from a POSCAR string. Args: + ---- poscar: A SMACT-formatted POSCAR string. See :meth:`~.as_poscar` for format specification. Returns: + ------- :class:`~.SmactStructure` """ @@ -435,9 +433,7 @@ def from_poscar(poscar: str): lattice_param = float(lines[1]) - lattice = np.array( - [[float(point) for point in line.split(" ")] for line in lines[2:5]] - ) + lattice = np.array([[float(point) for point in line.split(" ")] for line in lines[2:5]]) sites = defaultdict(list) for line in lines[8:]: @@ -457,32 +453,36 @@ def from_poscar(poscar: str): def _format_style( self, template: str, - delim: Optional[str] = " ", - include_ground: Optional[bool] = False, + delim: str | None = " ", + include_ground: bool | None = False, ) -> str: - """Format a given template string with the composition. + """ + Format a given template string with the composition. Formats a python template string with species information, with each species separated by a given delimiter. Args: + ---- template: Template string to format, using python's curly brackets notation. Supported keywords are `ele` for the elemental symbol, `stoic` for the stoichiometry, `charge` for the absolute value of oxidation state and `sign` for the oxidation state's sign. - delim: The delimeter between species' templates. + delim: The delimiter between species' templates. include_ground: Whether to include the charge and sign of neutral species. Returns: + ------- String of templates formatted for each species, separated by `delim`. Examples: - >>> s = SmactStructure.from_file('tests/files/CaTiO3.txt') - >>> template = '{stoic}x{ele}{charge}{sign}' + -------- + >>> s = SmactStructure.from_file("tests/files/CaTiO3.txt") + >>> template = "{stoic}x{ele}{charge}{sign}" >>> print(s._format_style(template)) 1xCa2+ 3xO2- 1xTi4+ @@ -509,17 +509,21 @@ def _format_style( ) @staticmethod - def _get_ele_stoics(species: List[Tuple[str, int, int]]) -> Dict[str, int]: - """Get the number of each element type in the compound, irrespective of oxidation state. + def _get_ele_stoics(species: list[tuple[str, int, int]]) -> dict[str, int]: + """ + Get the number of each element type in the compound, irrespective of oxidation state. Args: + ---- species: See :meth:`~.__init__`. Returns: + ------- eles: Dictionary of {element: stoichiometry}. Examples: - >>> species = [('Fe', 2, 1), ('Fe', 3, 2), ('O', -2, 4)] + -------- + >>> species = [("Fe", 2, 1), ("Fe", 3, 2), ("O", -2, 4)] >>> print(SmactStructure._get_ele_stoics(species)) {'Fe': 3, 'O': 4} @@ -530,18 +534,21 @@ def _get_ele_stoics(species: List[Tuple[str, int, int]]) -> Dict[str, int]: return dict(eles) - def has_species(self, species: Tuple[str, int]) -> bool: + def has_species(self, species: tuple[str, int]) -> bool: """Determine whether a given species is in the structure.""" return species in map(itemgetter(0, 1), self.species) - def get_spec_strs(self) -> List[str]: - """Get string representations of the constituent species. + def get_spec_strs(self) -> list[str]: + """ + Get string representations of the constituent species. Returns: + ------- A list of strings, formatted as '{element}{charge}{sign}'. Examples: - >>> s = SmactStructure.from_file('tests/files/CaTiO3.txt') + -------- + >>> s = SmactStructure.from_file("tests/files/CaTiO3.txt") >>> s.get_spec_strs() ['Ca2+', 'O2-', 'Ti4+'] @@ -549,17 +556,20 @@ def get_spec_strs(self) -> List[str]: return self._format_style("{ele}{charge}{sign}").split(" ") def composition(self) -> str: - """Generate a key that describes the composition. + """ + Generate a key that describes the composition. Key format is '{element}_{stoichiometry}_{charge}{sign}' with no delimiter, *sans brackets*. Species are ordered as stored within the structure, see :class:`~.SmactStructure`. Returns: + ------- Key describing constituent species. Examples: - >>> s = SmactStructure.from_file('tests/files/CaTiO3.txt') + -------- + >>> s = SmactStructure.from_file("tests/files/CaTiO3.txt") >>> print(s.composition()) Ca_1_2+O_3_2-Ti_1_4+ @@ -568,7 +578,8 @@ def composition(self) -> str: return self._format_style(comp_style, delim="", include_ground=True) def as_poscar(self) -> str: - """Represent the structure as a POSCAR file compatible with VASP5. + """ + Represent the structure as a POSCAR file compatible with VASP5. The POSCAR format adopted is as follows: @@ -587,6 +598,7 @@ def as_poscar(self) -> str: For examples of this format, see the text files under tests/files. Returns: + ------- str: POSCAR-style representation of the structure. """ @@ -594,21 +606,13 @@ def as_poscar(self) -> str: poscar += f"{self.lattice_param}\n" - poscar += ( - "\n".join( - " ".join(map(str, vec)) for vec in self.lattice_mat.tolist() - ) - + "\n" - ) + poscar += "\n".join(" ".join(map(str, vec)) for vec in self.lattice_mat.tolist()) + "\n" spec_count = {spec: len(coords) for spec, coords in self.sites.items()} poscar += self._format_style("{ele}") + "\n" - poscar += ( - " ".join(str(spec_count[spec]) for spec in self.get_spec_strs()) - + "\n" - ) + poscar += " ".join(str(spec_count[spec]) for spec in self.get_spec_strs()) + "\n" poscar += "Cartesian\n" for spec, coords in self.sites.items(): diff --git a/smact/structure_prediction/utilities.py b/smact/structure_prediction/utilities.py index 6c265d79..f7f68ae7 100644 --- a/smact/structure_prediction/utilities.py +++ b/smact/structure_prediction/utilities.py @@ -1,24 +1,31 @@ """Miscellaneous tools for data parsing.""" -import re -from typing import Dict, Optional, Tuple, Union +from __future__ import annotations -import pymatgen +import re +from typing import TYPE_CHECKING from . import logger +if TYPE_CHECKING: + import pymatgen -def parse_spec(species: str) -> Tuple[str, int]: - """Parse a species string into its element and charge. + +def parse_spec(species: str) -> tuple[str, int]: + """ + Parse a species string into its element and charge. Args: + ---- species (str): String representation of a species in the format {element}{absolute_charge}{sign}. Returns: + ------- A tuple of (element, signed_charge). Examples: + -------- >>> parse_spec("Fe2+") ('Fe', 2) >>> parse_spec("O2-") @@ -36,18 +43,22 @@ def parse_spec(species: str) -> Tuple[str, int]: return ele, charge -def unparse_spec(species: Tuple[str, int]) -> str: - """Unparse a species into a string representation. +def unparse_spec(species: tuple[str, int]) -> str: + """ + Unparse a species into a string representation. The analogue of :func:`parse_spec`. Args: - A tuple of (element, signed_charge). + ---- + species (tuple): A tuple of (element, signed_charge). Returns: + ------- String of {element}{absolute_charge}{sign}. Examples: + -------- >>> unparse_spec(("Fe", 2)) 'Fe2+' >>> unparse_spec(("O", -2)) @@ -58,12 +69,15 @@ def unparse_spec(species: Tuple[str, int]) -> str: def get_sign(charge: int) -> str: - """Get string representation of a number's sign. + """ + Get string representation of a number's sign. Args: + ---- charge (int): The number whose sign to derive. Returns: + ------- sign (str): either '+', '-', or '' for neutral. """ @@ -77,10 +91,12 @@ def get_sign(charge: int) -> str: def convert_next_gen_mprest_data( doc, -) -> Dict[str, Union[pymatgen.core.Structure, Optional[str]]]: - """Converts the `MPDataDoc` object returned by a next-gen MP query to a dictionary +) -> dict[str, pymatgen.core.Structure | str | None]: + """ + Converts the `MPDataDoc` object returned by a next-gen MP query to a dictionary. Args: + ---- doc (MPDataDoc): A MPDataDoc object (based on a pydantic model) with fields 'structure' and 'material_id' Returns: A dictionary containing at least the keys 'structure' and diff --git a/smact/tests/files/CaTiO3.json b/smact/tests/files/CaTiO3.json index 548cb923..2d032747 100644 --- a/smact/tests/files/CaTiO3.json +++ b/smact/tests/files/CaTiO3.json @@ -1 +1,162 @@ -{"@module": "pymatgen.core.structure", "@class": "Structure", "charge": 0, "lattice": {"matrix": [[5.40776, 0.0, 3.311297987278545e-16], [8.856621316385947e-16, 5.507429, 3.3723276481906544e-16], [0.0, 0.0, 7.694012]], "pbc": [true, true, true], "a": 5.40776, "b": 5.507429, "c": 7.694012, "alpha": 90.0, "beta": 90.0, "gamma": 90.0, "volume": 229.14963798636475}, "sites": [{"species": [{"element": "Ca", "oxidation_state": 2, "occu": 1}], "abc": [0.509094, 0.542875, 0.75], "xyz": [2.7530581694400005, 2.989845518375, 5.7705090000000006], "label": "Ca2+", "properties": {}}, {"species": [{"element": "Ca", "oxidation_state": 2, "occu": 1}], "abc": [0.49090599999999995, 0.457125, 0.25], "xyz": [2.65470183056, 2.517583481625, 1.9235030000000002], "label": "Ca2+", "properties": {}}, {"species": [{"element": "Ca", "oxidation_state": 2, "occu": 1}], "abc": [0.990906, 0.042874999999999996, 0.75], "xyz": [5.3585818305599995, 0.23613101837499997, 5.7705090000000006], "label": "Ca2+", "properties": {}}, {"species": [{"element": "Ca", "oxidation_state": 2, "occu": 1}], "abc": [0.009094000000000158, 0.957125, 0.25], "xyz": [0.049178169440001696, 5.2712979816250005, 1.9235030000000002], "label": "Ca2+", "properties": {}}, {"species": [{"element": "Ti", "oxidation_state": 4, "occu": 1}], "abc": [0.0, 0.5, 0.5], "xyz": [4.4283106581929737e-16, 2.7537145, 3.847006], "label": "Ti4+", "properties": {}}, {"species": [{"element": "Ti", "oxidation_state": 4, "occu": 1}], "abc": [0.0, 0.5, 0.0], "xyz": [4.4283106581929737e-16, 2.7537145, 1.6861638240953272e-16], "label": "Ti4+", "properties": {}}, {"species": [{"element": "Ti", "oxidation_state": 4, "occu": 1}], "abc": [0.5, 0.0, 0.5], "xyz": [2.70388, 0.0, 3.847006], "label": "Ti4+", "properties": {}}, {"species": [{"element": "Ti", "oxidation_state": 4, "occu": 1}], "abc": [0.5, 0.0, 0.0], "xyz": [2.70388, 0.0, 1.6556489936392726e-16], "label": "Ti4+", "properties": {}}, {"species": [{"element": "O", "oxidation_state": -2, "occu": 1}], "abc": [0.078086, 0.480194, 0.75], "xyz": [0.4222703473600004, 2.644634361226, 5.770509], "label": "O2-", "properties": {}}, {"species": [{"element": "O", "oxidation_state": -2, "occu": 1}], "abc": [0.921914, 0.519806, 0.25], "xyz": [4.985489652640001, 2.862794638774, 1.9235030000000004], "label": "O2-", "properties": {}}, {"species": [{"element": "O", "oxidation_state": -2, "occu": 1}], "abc": [0.421914, 0.980194, 0.75], "xyz": [2.2816096526400007, 5.398348861226, 5.7705090000000006], "label": "O2-", "properties": {}}, {"species": [{"element": "O", "oxidation_state": -2, "occu": 1}], "abc": [0.578086, 0.01980599999999999, 0.25], "xyz": [3.12615034736, 0.10908013877399995, 1.9235030000000002], "label": "O2-", "properties": {}}, {"species": [{"element": "O", "oxidation_state": -2, "occu": 1}], "abc": [0.790623, 0.790038, 0.9589710000000002], "xyz": [4.27549943448, 4.351078192302, 7.378334381652002], "label": "O2-", "properties": {}}, {"species": [{"element": "O", "oxidation_state": -2, "occu": 1}], "abc": [0.20937700000000004, 0.20996199999999998, 0.45897100000000024], "xyz": [1.1322605655200004, 1.156350807698, 3.531328381652002], "label": "O2-", "properties": {}}, {"species": [{"element": "O", "oxidation_state": -2, "occu": 1}], "abc": [0.20937700000000004, 0.20996199999999998, 0.04102899999999976], "xyz": [1.1322605655200004, 1.156350807698, 0.3156776183479983], "label": "O2-", "properties": {}}, {"species": [{"element": "O", "oxidation_state": -2, "occu": 1}], "abc": [0.790623, 0.790038, 0.5410289999999998], "xyz": [4.27549943448, 4.351078192302, 4.162683618347999], "label": "O2-", "properties": {}}, {"species": [{"element": "O", "oxidation_state": -2, "occu": 1}], "abc": [0.709377, 0.290038, 0.9589710000000002], "xyz": [3.8361405655200005, 1.597363692302, 7.378334381652002], "label": "O2-", "properties": {}}, {"species": [{"element": "O", "oxidation_state": -2, "occu": 1}], "abc": [0.2906230000000001, 0.709962, 0.45897100000000024], "xyz": [1.571619434480001, 3.910065307698, 3.5313283816520022], "label": "O2-", "properties": {}}, {"species": [{"element": "O", "oxidation_state": -2, "occu": 1}], "abc": [0.2906230000000001, 0.709962, 0.04102899999999976], "xyz": [1.571619434480001, 3.910065307698, 0.31567761834799846], "label": "O2-", "properties": {}}, {"species": [{"element": "O", "oxidation_state": -2, "occu": 1}], "abc": [0.709377, 0.290038, 0.5410289999999998], "xyz": [3.8361405655200005, 1.597363692302, 4.162683618347998], "label": "O2-", "properties": {}}]} \ No newline at end of file +{ + "@module": "pymatgen.core.structure", + "@class": "Structure", + "charge": 0, + "lattice": { + "matrix": [ + [5.40776, 0.0, 3.311297987278545e-16], + [8.856621316385947e-16, 5.507429, 3.3723276481906544e-16], + [0.0, 0.0, 7.694012] + ], + "pbc": [true, true, true], + "a": 5.40776, + "b": 5.507429, + "c": 7.694012, + "alpha": 90.0, + "beta": 90.0, + "gamma": 90.0, + "volume": 229.14963798636475 + }, + "sites": [ + { + "species": [{ "element": "Ca", "oxidation_state": 2, "occu": 1 }], + "abc": [0.509094, 0.542875, 0.75], + "xyz": [2.7530581694400005, 2.989845518375, 5.7705090000000006], + "label": "Ca2+", + "properties": {} + }, + { + "species": [{ "element": "Ca", "oxidation_state": 2, "occu": 1 }], + "abc": [0.49090599999999995, 0.457125, 0.25], + "xyz": [2.65470183056, 2.517583481625, 1.9235030000000002], + "label": "Ca2+", + "properties": {} + }, + { + "species": [{ "element": "Ca", "oxidation_state": 2, "occu": 1 }], + "abc": [0.990906, 0.042874999999999996, 0.75], + "xyz": [5.3585818305599995, 0.23613101837499997, 5.7705090000000006], + "label": "Ca2+", + "properties": {} + }, + { + "species": [{ "element": "Ca", "oxidation_state": 2, "occu": 1 }], + "abc": [0.009094000000000158, 0.957125, 0.25], + "xyz": [0.049178169440001696, 5.2712979816250005, 1.9235030000000002], + "label": "Ca2+", + "properties": {} + }, + { + "species": [{ "element": "Ti", "oxidation_state": 4, "occu": 1 }], + "abc": [0.0, 0.5, 0.5], + "xyz": [4.4283106581929737e-16, 2.7537145, 3.847006], + "label": "Ti4+", + "properties": {} + }, + { + "species": [{ "element": "Ti", "oxidation_state": 4, "occu": 1 }], + "abc": [0.0, 0.5, 0.0], + "xyz": [4.4283106581929737e-16, 2.7537145, 1.6861638240953272e-16], + "label": "Ti4+", + "properties": {} + }, + { + "species": [{ "element": "Ti", "oxidation_state": 4, "occu": 1 }], + "abc": [0.5, 0.0, 0.5], + "xyz": [2.70388, 0.0, 3.847006], + "label": "Ti4+", + "properties": {} + }, + { + "species": [{ "element": "Ti", "oxidation_state": 4, "occu": 1 }], + "abc": [0.5, 0.0, 0.0], + "xyz": [2.70388, 0.0, 1.6556489936392726e-16], + "label": "Ti4+", + "properties": {} + }, + { + "species": [{ "element": "O", "oxidation_state": -2, "occu": 1 }], + "abc": [0.078086, 0.480194, 0.75], + "xyz": [0.4222703473600004, 2.644634361226, 5.770509], + "label": "O2-", + "properties": {} + }, + { + "species": [{ "element": "O", "oxidation_state": -2, "occu": 1 }], + "abc": [0.921914, 0.519806, 0.25], + "xyz": [4.985489652640001, 2.862794638774, 1.9235030000000004], + "label": "O2-", + "properties": {} + }, + { + "species": [{ "element": "O", "oxidation_state": -2, "occu": 1 }], + "abc": [0.421914, 0.980194, 0.75], + "xyz": [2.2816096526400007, 5.398348861226, 5.7705090000000006], + "label": "O2-", + "properties": {} + }, + { + "species": [{ "element": "O", "oxidation_state": -2, "occu": 1 }], + "abc": [0.578086, 0.01980599999999999, 0.25], + "xyz": [3.12615034736, 0.10908013877399995, 1.9235030000000002], + "label": "O2-", + "properties": {} + }, + { + "species": [{ "element": "O", "oxidation_state": -2, "occu": 1 }], + "abc": [0.790623, 0.790038, 0.9589710000000002], + "xyz": [4.27549943448, 4.351078192302, 7.378334381652002], + "label": "O2-", + "properties": {} + }, + { + "species": [{ "element": "O", "oxidation_state": -2, "occu": 1 }], + "abc": [0.20937700000000004, 0.20996199999999998, 0.45897100000000024], + "xyz": [1.1322605655200004, 1.156350807698, 3.531328381652002], + "label": "O2-", + "properties": {} + }, + { + "species": [{ "element": "O", "oxidation_state": -2, "occu": 1 }], + "abc": [0.20937700000000004, 0.20996199999999998, 0.04102899999999976], + "xyz": [1.1322605655200004, 1.156350807698, 0.3156776183479983], + "label": "O2-", + "properties": {} + }, + { + "species": [{ "element": "O", "oxidation_state": -2, "occu": 1 }], + "abc": [0.790623, 0.790038, 0.5410289999999998], + "xyz": [4.27549943448, 4.351078192302, 4.162683618347999], + "label": "O2-", + "properties": {} + }, + { + "species": [{ "element": "O", "oxidation_state": -2, "occu": 1 }], + "abc": [0.709377, 0.290038, 0.9589710000000002], + "xyz": [3.8361405655200005, 1.597363692302, 7.378334381652002], + "label": "O2-", + "properties": {} + }, + { + "species": [{ "element": "O", "oxidation_state": -2, "occu": 1 }], + "abc": [0.2906230000000001, 0.709962, 0.45897100000000024], + "xyz": [1.571619434480001, 3.910065307698, 3.5313283816520022], + "label": "O2-", + "properties": {} + }, + { + "species": [{ "element": "O", "oxidation_state": -2, "occu": 1 }], + "abc": [0.2906230000000001, 0.709962, 0.04102899999999976], + "xyz": [1.571619434480001, 3.910065307698, 0.31567761834799846], + "label": "O2-", + "properties": {} + }, + { + "species": [{ "element": "O", "oxidation_state": -2, "occu": 1 }], + "abc": [0.709377, 0.290038, 0.5410289999999998], + "xyz": [3.8361405655200005, 1.597363692302, 4.162683618347998], + "label": "O2-", + "properties": {} + } + ] +} diff --git a/smact/tests/files/Fe3O4.json b/smact/tests/files/Fe3O4.json index 31dbd628..20e453ca 100644 --- a/smact/tests/files/Fe3O4.json +++ b/smact/tests/files/Fe3O4.json @@ -1 +1,316 @@ -{"@module": "pymatgen.core.structure", "@class": "Structure", "charge": 0, "lattice": {"matrix": [[3.02352510004715, -5.236899091241436, 0.0], [3.02352510004715, 5.236899091241436, 0.0], [0.0, 0.0, 14.716012023663136]], "pbc": [true, true, true], "a": 6.0470502000943, "b": 6.0470502000943, "c": 14.716012023663136, "alpha": 90.0, "beta": 90.0, "gamma": 119.99999999999999, "volume": 466.02360338422886}, "sites": [{"species": [{"element": "Fe", "oxidation_state": 2, "occu": 1}], "abc": [0.6666666666666666, 0.3333333333333333, 0.4594153333333334], "xyz": [3.0235251000471495, -1.745633030413812, 6.760761569188542], "label": "Fe2+", "properties": {}}, {"species": [{"element": "Fe", "oxidation_state": 2, "occu": 1}], "abc": [0.6666666666666667, 0.3333333333333333, 0.20725133333333323], "xyz": [3.02352510004715, -1.7456330304138123, 3.0499131132535484], "label": "Fe2+", "properties": {}}, {"species": [{"element": "Fe", "oxidation_state": 2, "occu": 1}], "abc": [0.33333333333333326, 0.6666666666666666, 0.7927486666666668], "xyz": [3.0235251000471495, 1.7456330304138121, 11.666098910409588], "label": "Fe2+", "properties": {}}, {"species": [{"element": "Fe", "oxidation_state": 2, "occu": 1}], "abc": [0.3333333333333335, 0.6666666666666666, 0.5405846666666665], "xyz": [3.0235251000471504, 1.745633030413811, 7.955250454474593], "label": "Fe2+", "properties": {}}, {"species": [{"element": "Fe", "oxidation_state": 2, "occu": 1}], "abc": [0.0, 0.0, 0.12608200000000003], "xyz": [0.0, 0.0, 1.855424227967496], "label": "Fe2+", "properties": {}}, {"species": [{"element": "Fe", "oxidation_state": 2, "occu": 1}], "abc": [0.0, 0.0, 0.8739179999999999], "xyz": [0.0, 0.0, 12.860587795695638], "label": "Fe2+", "properties": {}}, {"species": [{"element": "Fe", "oxidation_state": 3, "occu": 1}], "abc": [0.5, 0.0, 0.0], "xyz": [1.511762550023575, -2.618449545620718, 0.0], "label": "Fe3+", "properties": {}}, {"species": [{"element": "Fe", "oxidation_state": 3, "occu": 1}], "abc": [0.3333333333333333, 0.16666666666666652, 0.6666666666666665], "xyz": [1.5117625500235743, -0.8728165152069067, 9.81067468244209], "label": "Fe3+", "properties": {}}, {"species": [{"element": "Fe", "oxidation_state": 3, "occu": 1}], "abc": [0.5, 0.5, 0.0], "xyz": [3.02352510004715, 0.0, 0.0], "label": "Fe3+", "properties": {}}, {"species": [{"element": "Fe", "oxidation_state": 3, "occu": 1}], "abc": [0.6666666666666665, 0.33333333333333326, 0.8333333333333331], "xyz": [3.0235251000471495, -1.7456330304138117, 12.26334335305261], "label": "Fe3+", "properties": {}}, {"species": [{"element": "Fe", "oxidation_state": 3, "occu": 1}], "abc": [0.16666666666666652, 0.3333333333333333, 0.33333333333333326], "xyz": [1.5117625500235745, 0.8728165152069067, 4.905337341221045], "label": "Fe3+", "properties": {}}, {"species": [{"element": "Fe", "oxidation_state": 3, "occu": 1}], "abc": [0.0, 0.49999999999999983, 0.9999999999999998], "xyz": [1.5117625500235745, 2.618449545620717, 14.716012023663133], "label": "Fe3+", "properties": {}}, {"species": [{"element": "Fe", "oxidation_state": 3, "occu": 1}], "abc": [0.16666666666666652, 0.8333333333333333, 0.3333333333333333], "xyz": [3.0235251000471495, 3.4912660608276243, 4.9053373412210455], "label": "Fe3+", "properties": {}}, {"species": [{"element": "Fe", "oxidation_state": 3, "occu": 1}], "abc": [0.33333333333333304, 0.6666666666666665, 0.16666666666666652], "xyz": [3.0235251000471486, 1.7456330304138128, 2.4526686706105205], "label": "Fe3+", "properties": {}}, {"species": [{"element": "Fe", "oxidation_state": 3, "occu": 1}], "abc": [0.8333333333333333, 0.6666666666666666, 0.6666666666666665], "xyz": [4.535287650070725, -0.8728165152069054, 9.81067468244209], "label": "Fe3+", "properties": {}}, {"species": [{"element": "Fe", "oxidation_state": 3, "occu": 1}], "abc": [0.6666666666666666, 0.8333333333333331, 0.33333333333333304], "xyz": 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"properties": {} + }, + { + "species": [{ "element": "Ti", "oxidation_state": 4, "occu": 1 }], + "abc": [0.0, 0.0, 0.5], + "xyz": [0.035065385, 0.0, 3.85909098], + "label": "Ti4+", + "properties": {} + }, + { + "species": [{ "element": "Ti", "oxidation_state": 4, "occu": 1 }], + "abc": [0.5, 0.5, 0.0], + "xyz": [3.85911316, 3.847006115, 0.03541079], + "label": "Ti4+", + "properties": {} + }, + { + "species": [{ "element": "Ti", "oxidation_state": 4, "occu": 1 }], + "abc": [0.5, 0.0, 0.0], + "xyz": [3.85911316, 0.0, 0.03541079], + "label": "Ti4+", + "properties": {} + }, + { + "species": [{ "element": "Ti", "oxidation_state": 4, "occu": 1 }], + "abc": [0.0, 0.5, 0.0], + "xyz": [0.0, 3.847006115, 0.0], + "label": "Ti4+", + "properties": {} + }, + { + "species": [{ "element": "Ti", "oxidation_state": 4, "occu": 1 }], + "abc": [0.0, 0.0, 0.0], + "xyz": [0.0, 0.0, 0.0], + "label": "Ti4+", + "properties": {} + } + ] +} diff --git a/smact/tests/files/test_lambda_tab.json b/smact/tests/files/test_lambda_tab.json index 4bcc1dea..ac03a7e8 100644 --- a/smact/tests/files/test_lambda_tab.json +++ b/smact/tests/files/test_lambda_tab.json @@ -1 +1,5 @@ -[["A", "B", 0.5], ["B", "A", 0.5], ["B", "C", 0.3]] \ No newline at end of file +[ + ["A", "B", 0.5], + ["B", "A", 0.5], + ["B", "C", 0.3] +] diff --git a/smact/tests/test_core.py b/smact/tests/test_core.py index c3c53f73..6fd38acd 100755 --- a/smact/tests/test_core.py +++ b/smact/tests/test_core.py @@ -1,8 +1,10 @@ #!/usr/bin/env python +from __future__ import annotations import os import unittest +import pytest from pymatgen.core import Structure from pymatgen.core.periodic_table import Specie @@ -38,9 +40,7 @@ def test_Element_class_Pt(self): self.assertEqual(Pt.dipol, 44.00) def test_ordered_elements(self): - self.assertEqual( - smact.ordered_elements(65, 68), ["Tb", "Dy", "Ho", "Er"] - ) + self.assertEqual(smact.ordered_elements(65, 68), ["Tb", "Dy", "Ho", "Er"]) self.assertEqual(smact.ordered_elements(52, 52), ["Te"]) def test_element_dictionary(self): @@ -53,11 +53,7 @@ def test_element_dictionary(self): self.assertTrue("Rn" in smact.element_dictionary()) def test_are_eq(self): - self.assertTrue( - smact.are_eq( - [1.00, 2.00, 3.00], [1.001, 1.999, 3.00], tolerance=1e-2 - ) - ) + self.assertTrue(smact.are_eq([1.00, 2.00, 3.00], [1.001, 1.999, 3.00], tolerance=1e-2)) self.assertFalse(smact.are_eq([1.00, 2.00, 3.00], [1.001, 1.999, 3.00])) def test_gcd_recursive(self): @@ -79,9 +75,7 @@ def test_neutral_ratios(self): def test_compound_eneg_brass(self): self.assertAlmostEqual( - compound_electroneg( - elements=["Cu", "Zn"], stoichs=[0.5, 0.5], source="Pauling" - ), + compound_electroneg(elements=["Cu", "Zn"], stoichs=[0.5, 0.5], source="Pauling"), 5.0638963259, ) @@ -103,10 +97,10 @@ def test_valence_electron_count(self): self.assertEqual(valence_electron_count(""), 0.0) # Test invalid elements and formats - with self.assertRaises(ValueError): + with pytest.raises(ValueError): valence_electron_count("Xx2O3") # Xx is not a real element - with self.assertRaises(ValueError): + with pytest.raises(ValueError): valence_electron_count("LrO") # ---------------- BUILDER ---------------- @@ -126,11 +120,7 @@ def test_pauling_test(self): (Sn.pauling_eneg, S.pauling_eneg), ) ) - self.assertFalse( - smact.screening.pauling_test( - (-2, +2), (Sn.pauling_eneg, S.pauling_eneg) - ) - ) + self.assertFalse(smact.screening.pauling_test((-2, +2), (Sn.pauling_eneg, S.pauling_eneg))) self.assertFalse( smact.screening.pauling_test( (-2, -2, +2), @@ -216,40 +206,24 @@ def test_pauling_test_old(self): def test_eneg_states_test(self): Na, Fe, Cl = (smact.Element(label) for label in ("Na", "Fe", "Cl")) self.assertTrue( - smact.screening.eneg_states_test( - [1, 3, -1], [Na.pauling_eneg, Fe.pauling_eneg, Cl.pauling_eneg] - ) + smact.screening.eneg_states_test([1, 3, -1], [Na.pauling_eneg, Fe.pauling_eneg, Cl.pauling_eneg]) ) self.assertFalse( - smact.screening.eneg_states_test( - [-1, 3, 1], [Na.pauling_eneg, Fe.pauling_eneg, Cl.pauling_eneg] - ) + smact.screening.eneg_states_test([-1, 3, 1], [Na.pauling_eneg, Fe.pauling_eneg, Cl.pauling_eneg]) ) def test_eneg_states_test_alternate(self): Na, Fe, Cl = (smact.Element(label) for label in ("Na", "Fe", "Cl")) self.assertTrue( - smact.screening.eneg_states_test_alternate( - [1, 3, -1], [Na.pauling_eneg, Fe.pauling_eneg, Cl.pauling_eneg] - ) + smact.screening.eneg_states_test_alternate([1, 3, -1], [Na.pauling_eneg, Fe.pauling_eneg, Cl.pauling_eneg]) ) self.assertFalse( - smact.screening.eneg_states_test_alternate( - [-1, 3, 1], [Na.pauling_eneg, Fe.pauling_eneg, Cl.pauling_eneg] - ) + smact.screening.eneg_states_test_alternate([-1, 3, 1], [Na.pauling_eneg, Fe.pauling_eneg, Cl.pauling_eneg]) ) def test_eneg_states_test_threshold(self): - self.assertFalse( - smact.screening.eneg_states_test_threshold( - [1, -1], [1.83, 1.82], threshold=0 - ) - ) - self.assertTrue( - smact.screening.eneg_states_test_threshold( - [1, -1], [1.83, 1.82], threshold=0.1 - ) - ) + self.assertFalse(smact.screening.eneg_states_test_threshold([1, -1], [1.83, 1.82], threshold=0)) + self.assertTrue(smact.screening.eneg_states_test_threshold([1, -1], [1.83, 1.82], threshold=0.1)) def test_ml_rep_generator(self): Pb, O = (smact.Element(label) for label in ("Pb", "O")) @@ -357,12 +331,8 @@ def test_ml_rep_generator(self): 0.0, 0.0, ] - self.assertEqual( - smact.screening.ml_rep_generator(["Pb", "O"], [1, 2]), PbO2_ml - ) - self.assertEqual( - smact.screening.ml_rep_generator([Pb, O], [1, 2]), PbO2_ml - ) + self.assertEqual(smact.screening.ml_rep_generator(["Pb", "O"], [1, 2]), PbO2_ml) + self.assertEqual(smact.screening.ml_rep_generator([Pb, O], [1, 2]), PbO2_ml) def test_smact_filter(self): Na, Fe, Cl = (smact.Element(label) for label in ("Na", "Fe", "Cl")) @@ -376,39 +346,20 @@ def test_smact_filter(self): ) self.assertEqual( result, - smact.screening.smact_filter( - [Na, Fe, Cl], threshold=2, oxidation_states_set=TEST_OX_STATES - ), - ) - result_comp_tuple = smact.screening.smact_filter( - [Na, Fe, Cl], threshold=2, comp_tuple=True - ) - self.assertTupleEqual( - result_comp_tuple[0].element_symbols, ("Na", "Fe", "Cl") - ) - self.assertTupleEqual(result_comp_tuple[0].stoichiometries, (2, 1, 1)) - self.assertTupleEqual( - result_comp_tuple[0].oxidation_states, (1, -1, -1) + smact.screening.smact_filter([Na, Fe, Cl], threshold=2, oxidation_states_set=TEST_OX_STATES), ) + self.assertEqual( - set( - smact.screening.smact_filter( - [Na, Fe, Cl], threshold=2, species_unique=False - ) - ), + set(smact.screening.smact_filter([Na, Fe, Cl], threshold=2, species_unique=False)), { (("Na", "Fe", "Cl"), (2, 1, 1)), (("Na", "Fe", "Cl"), (1, 1, 2)), }, ) - self.assertEqual( - len(smact.screening.smact_filter([Na, Fe, Cl], threshold=8)), 77 - ) + self.assertEqual(len(smact.screening.smact_filter([Na, Fe, Cl], threshold=8)), 77) - result = smact.screening.smact_filter( - [Na, Fe, Cl], stoichs=[[1], [1], [4]] - ) + result = smact.screening.smact_filter([Na, Fe, Cl], stoichs=[[1], [1], [4]]) self.assertEqual( [(r[0], r[1], r[2]) for r in result], [ @@ -424,33 +375,17 @@ def test_smact_filter(self): def test_smact_validity(self): self.assertTrue(smact.screening.smact_validity("NaCl")) self.assertTrue(smact.screening.smact_validity("Na10Cl10")) - self.assertFalse( - smact.screening.smact_validity("Al3Li", include_alloys=False) - ) - self.assertTrue( - smact.screening.smact_validity("Al3Li", include_alloys=True) - ) + self.assertFalse(smact.screening.smact_validity("Al3Li", include_alloys=False)) + self.assertTrue(smact.screening.smact_validity("Al3Li", include_alloys=True)) # Test for single element self.assertTrue(smact.screening.smact_validity("Al")) # Test for MgB2 which is invalid for the default oxi states but valid for the icsd states self.assertFalse(smact.screening.smact_validity("MgB2")) - self.assertTrue( - smact.screening.smact_validity("MgB2", oxidation_states_set="icsd") - ) - self.assertFalse( - smact.screening.smact_validity( - "MgB2", oxidation_states_set="pymatgen" - ) - ) - self.assertTrue( - smact.screening.smact_validity("MgB2", oxidation_states_set="wiki") - ) - self.assertFalse( - smact.screening.smact_validity( - "MgB2", oxidation_states_set=TEST_OX_STATES - ) - ) + self.assertTrue(smact.screening.smact_validity("MgB2", oxidation_states_set="icsd")) + self.assertFalse(smact.screening.smact_validity("MgB2", oxidation_states_set="pymatgen")) + self.assertTrue(smact.screening.smact_validity("MgB2", oxidation_states_set="wiki")) + self.assertFalse(smact.screening.smact_validity("MgB2", oxidation_states_set=TEST_OX_STATES)) # ---------------- Lattice ---------------- def test_Lattice_class(self): @@ -462,9 +397,7 @@ def test_Lattice_class(self): # ---------- Lattice parameters ----------- def test_lattice_parameters(self): - perovskite = smact.lattice_parameters.cubic_perovskite( - [1.81, 1.33, 1.82] - ) + perovskite = smact.lattice_parameters.cubic_perovskite([1.81, 1.33, 1.82]) wurtz = smact.lattice_parameters.wurtzite([1.81, 1.33]) self.assertAlmostEqual(perovskite[0], 6.3) self.assertAlmostEqual(perovskite[1], 6.3) diff --git a/smact/tests/test_doper.py b/smact/tests/test_doper.py index 79fd7446..12556980 100644 --- a/smact/tests/test_doper.py +++ b/smact/tests/test_doper.py @@ -1,9 +1,12 @@ +from __future__ import annotations + import os import unittest -import smact +import pytest + from smact.dopant_prediction import doper -from smact.structure_prediction import mutation, utilities +from smact.structure_prediction import utilities files_dir = os.path.join(os.path.dirname(os.path.realpath(__file__)), "files") TEST_LAMBDA_JSON = os.path.join(files_dir, "test_lambda_tab.json") @@ -11,16 +14,11 @@ class DopantPredictionTest(unittest.TestCase): def test_dopant_prediction(self): - num_dopants = 10 test_specie = ("Cu+", "Ga3+", "S2-") test = doper.Doper(test_specie) - cation_max_charge = max( - test_specie, key=lambda x: utilities.parse_spec(x)[1] - ) - anion_min_charge = min( - test_specie, key=lambda x: utilities.parse_spec(x)[1] - ) + cation_max_charge = max(test_specie, key=lambda x: utilities.parse_spec(x)[1]) + anion_min_charge = min(test_specie, key=lambda x: utilities.parse_spec(x)[1]) _, cat_charge = utilities.parse_spec(cation_max_charge) _, an_charge = utilities.parse_spec(anion_min_charge) @@ -48,17 +46,13 @@ def test_dopant_prediction(self): def test_dopant_prediction_skipspecies(self): test_specie = ("Cu+", "Ga3+", "S2-") - with self.assertRaises(ValueError): - doper.Doper( - test_specie, filepath=TEST_LAMBDA_JSON, embedding="skipspecies" - ) + with pytest.raises(ValueError): + doper.Doper(test_specie, filepath=TEST_LAMBDA_JSON, embedding="skipspecies") - with self.assertRaises(ValueError): + with pytest.raises(ValueError): doper.Doper(test_specie, embedding="skip", use_probability=False) - test = doper.Doper( - test_specie, embedding="skipspecies", use_probability=False - ) + test = doper.Doper(test_specie, embedding="skipspecies", use_probability=False) result = test.get_dopants() n_sub_list_cat = result.get("n-type cation substitutions").get("sorted") diff --git a/smact/tests/test_structure.py b/smact/tests/test_structure.py index d92253bc..c021c9ef 100644 --- a/smact/tests/test_structure.py +++ b/smact/tests/test_structure.py @@ -1,4 +1,6 @@ -"""Test structure prediction module""" +"""Test structure prediction module.""" + +from __future__ import annotations import itertools import json @@ -9,10 +11,12 @@ from contextlib import contextmanager from operator import itemgetter from random import sample +from typing import ClassVar import numpy as np import pandas as pd import pymatgen +import pytest from pandas.testing import assert_frame_equal, assert_series_equal from pymatgen.analysis.structure_prediction.substitution_probability import ( SubstitutionProbability, @@ -61,16 +65,15 @@ def ignore_warnings(logger: logging.Logger) -> int: class StructureTest(unittest.TestCase): """`SmactStructure` testing.""" - TEST_SPECIES = { + TEST_SPECIES: ClassVar = { "CaTiO3": [("Ca", 2, 1), ("Ti", 4, 1), ("O", -2, 3)], "NaCl": [("Na", 1, 1), ("Cl", -1, 1)], "Fe": [("Fe", 0, 1)], } - def assertStructAlmostEqual( - self, s1: SmactStructure, s2: SmactStructure, places: int = 7 - ): - """Assert that two SmactStructures are almost equal. + def assertStructAlmostEqual(self, s1: SmactStructure, s2: SmactStructure, places: int = 7): + """ + Assert that two SmactStructures are almost equal. Almost equality dependent on how many decimal places the site coordinates are equal to. @@ -88,7 +91,7 @@ def assertStructAlmostEqual( def test_as_poscar(self): """Test POSCAR generation.""" - for comp in self.TEST_SPECIES.keys(): + for comp in self.TEST_SPECIES: with self.subTest(comp=comp): comp_file = os.path.join(files_dir, f"{comp}.txt") with open(comp_file) as f: @@ -142,9 +145,7 @@ def test_from_py_struct_icsd(self): py_structure = pymatgen.core.Structure.from_dict(d) with ignore_warnings(smact.structure_prediction.logger): - s1 = SmactStructure.from_py_struct( - py_structure, determine_oxi="comp_ICSD" - ) + s1 = SmactStructure.from_py_struct(py_structure, determine_oxi="comp_ICSD") s2 = SmactStructure.from_file(os.path.join(files_dir, "CaTiO3.txt")) @@ -152,11 +153,7 @@ def test_from_py_struct_icsd(self): def test_has_species(self): """Test determining whether a species is in a `SmactStructure`.""" - s1 = SmactStructure( - *self._gen_empty_structure( - [("Ba", 2, 2), ("O", -2, 1), ("F", -1, 2)] - ) - ) + s1 = SmactStructure(*self._gen_empty_structure([("Ba", 2, 2), ("O", -2, 1), ("F", -1, 2)])) self.assertTrue(s1.has_species(("Ba", 2))) self.assertFalse(s1.has_species(("Ba", 3))) @@ -164,16 +161,8 @@ def test_has_species(self): def test_smactStruc_comp_key(self): """Test generation of a composition key for `SmactStructure`s.""" - s1 = SmactStructure( - *self._gen_empty_structure( - [("Ba", 2, 2), ("O", -2, 1), ("F", -1, 2)] - ) - ) - s2 = SmactStructure( - *self._gen_empty_structure( - [("Fe", 2, 1), ("Fe", 3, 2), ("O", -2, 4)] - ) - ) + s1 = SmactStructure(*self._gen_empty_structure([("Ba", 2, 2), ("O", -2, 1), ("F", -1, 2)])) + s2 = SmactStructure(*self._gen_empty_structure([("Fe", 2, 1), ("Fe", 3, 2), ("O", -2, 4)])) Ba = Species("Ba", 2) O = Species("O", -2) @@ -181,12 +170,8 @@ def test_smactStruc_comp_key(self): Fe2 = Species("Fe", 2) Fe3 = Species("Fe", 3) - s3 = SmactStructure( - *self._gen_empty_structure([(Ba, 2), (O, 1), (F, 2)]) - ) - s4 = SmactStructure( - *self._gen_empty_structure([(Fe2, 1), (Fe3, 2), (O, 4)]) - ) + s3 = SmactStructure(*self._gen_empty_structure([(Ba, 2), (O, 1), (F, 2)])) + s4 = SmactStructure(*self._gen_empty_structure([(Fe2, 1), (Fe3, 2), (O, 4)])) Ba_2OF_2 = "Ba_2_2+F_2_1-O_1_2-" Fe_3O_4 = "Fe_2_3+Fe_1_2+O_4_2-" @@ -206,9 +191,7 @@ def test_smactStruc_from_file(self): def test_equality(self): """Test equality determination of `SmactStructure`.""" - struct_files = [ - os.path.join(files_dir, f"{x}.txt") for x in ["CaTiO3", "NaCl"] - ] + struct_files = [os.path.join(files_dir, f"{x}.txt") for x in ["CaTiO3", "NaCl"]] CaTiO3 = SmactStructure.from_file(struct_files[0]) NaCl = SmactStructure.from_file(struct_files[1]) @@ -223,28 +206,16 @@ def test_equality(self): def test_ele_stoics(self): """Test acquiring element stoichiometries.""" - s1 = SmactStructure( - *self._gen_empty_structure( - [("Fe", 2, 1), ("Fe", 3, 2), ("O", -2, 4)] - ) - ) + s1 = SmactStructure(*self._gen_empty_structure([("Fe", 2, 1), ("Fe", 3, 2), ("O", -2, 4)])) s1_stoics = {"Fe": 3, "O": 4} - s2 = SmactStructure( - *self._gen_empty_structure( - [("Ba", 2, 2), ("O", -2, 1), ("F", -1, 2)] - ) - ) + s2 = SmactStructure(*self._gen_empty_structure([("Ba", 2, 2), ("O", -2, 1), ("F", -1, 2)])) s2_stoics = {"Ba": 2, "O": 1, "F": 2} for test, expected in [(s1, s1_stoics), (s2, s2_stoics)]: with self.subTest(species=test.species): - self.assertEqual( - SmactStructure._get_ele_stoics(test.species), expected - ) + self.assertEqual(SmactStructure._get_ele_stoics(test.species), expected) - @unittest.skipUnless( - os.environ.get("MPI_KEY"), "requires MPI key to be set." - ) + @unittest.skipUnless(os.environ.get("MPI_KEY"), "requires MPI key to be set.") def test_from_mp(self): """Test downloading structures from materialsproject.org.""" # TODO Needs ensuring that the structure query gets the same @@ -294,15 +265,11 @@ def test_db_interface(self): self.fail(e) with self.subTest(msg="Getting structure from table."): - struct_list = self.db.get_structs( - struct.composition(), self.TEST_TABLE - ) + struct_list = self.db.get_structs(struct.composition(), self.TEST_TABLE) self.assertEqual(len(struct_list), 1) self.assertEqual(struct_list[0], struct) - struct_files = [ - os.path.join(files_dir, f"{x}.txt") for x in ["NaCl", "Fe"] - ] + struct_files = [os.path.join(files_dir, f"{x}.txt") for x in ["NaCl", "Fe"]] structs = [SmactStructure.from_file(fname) for fname in struct_files] with self.subTest(msg="Adding multiple structures to table."): @@ -333,21 +300,16 @@ def test_db_interface(self): [struct], ] - for spec, expected in zip( - test_with_species_args, test_with_species_exp - ): + for spec, expected in zip(test_with_species_args, test_with_species_exp): with self.subTest(msg=f"Retrieving species with {spec}"): - self.assertEqual( - self.db.get_with_species(spec, self.TEST_TABLE), expected - ) + self.assertEqual(self.db.get_with_species(spec, self.TEST_TABLE), expected) mp_strucs = [ pymatgen.core.Structure.from_file(os.path.join(files_dir, f)) for f in ["CaTiO3.json", "NaCl.json", "Fe3O4.json"] ] mp_data = [ - {"material_id": mpid, "structure": s} - for mpid, s in zip(["mp-4019", "mp-22862", "mp-19306"], mp_strucs) + {"material_id": mpid, "structure": s} for mpid, s in zip(["mp-4019", "mp-22862", "mp-19306"], mp_strucs) ] with self.subTest(msg="Testing adding downloaded MP structures."): @@ -364,15 +326,11 @@ def setUpClass(cls): cls.test_struct = SmactStructure.from_file(TEST_POSCAR) cls.test_mutator = CationMutator.from_json(lambda_json=TEST_LAMBDA_JSON) - cls.test_pymatgen_mutator = CationMutator.from_json( - lambda_json=None, alpha=lambda x, y: -5 - ) + cls.test_pymatgen_mutator = CationMutator.from_json(lambda_json=None, alpha=lambda x, y: -5) # 5 random test species -> 5! test pairs cls.test_species = sample(list(cls.test_pymatgen_mutator.specs), 5) - cls.test_pairs = list( - itertools.combinations_with_replacement(cls.test_species, 2) - ) + cls.test_pairs = list(itertools.combinations_with_replacement(cls.test_species, 2)) cls.pymatgen_sp = SubstitutionProbability(lambda_table=None, alpha=-5) @@ -400,16 +358,11 @@ def test_partition_func_Z(self): def test_pymatgen_lambda_import(self): """Test importing pymatgen lambda table.""" - self.assertIsInstance( - self.test_pymatgen_mutator.lambda_tab, pd.DataFrame - ) + self.assertIsInstance(self.test_pymatgen_mutator.lambda_tab, pd.DataFrame) def test_lambda_interface(self): """Test getting lambda values.""" - test_cases = [ - itertools.permutations(x) - for x in [("A", "B"), ("A", "C"), ("B", "C")] - ] + test_cases = [itertools.permutations(x) for x in [("A", "B"), ("A", "C"), ("B", "C")]] expected = [0.5, -5.0, 0.3] @@ -417,9 +370,7 @@ def test_lambda_interface(self): for spec_comb in test_case: s1, s2 = spec_comb with self.subTest(s1=s1, s2=s2): - self.assertEqual( - self.test_mutator.get_lambda(s1, s2), expectation - ) + self.assertEqual(self.test_mutator.get_lambda(s1, s2), expectation) def test_ion_mutation(self): """Test mutating an ion of a SmactStructure.""" @@ -430,17 +381,14 @@ def test_ion_mutation(self): BaTiO3 = SmactStructure.from_file(ba_file) with self.subTest(s1="CaTiO3", s2="BaTiO3"): - mutation = self.test_mutator._mutate_structure( - CaTiO3, "Ca2+", "Ba2+" - ) + mutation = self.test_mutator._mutate_structure(CaTiO3, "Ca2+", "Ba2+") self.assertEqual(mutation, BaTiO3) na_file = os.path.join(files_dir, "NaCl.txt") NaCl = SmactStructure.from_file(na_file) - with self.subTest(s1="Na1+Cl1-", s2="Na2+Cl1-"): - with self.assertRaises(ValueError): - self.test_mutator._mutate_structure(NaCl, "Na1+", "Na2+") + with self.subTest(s1="Na1+Cl1-", s2="Na2+Cl1-"), pytest.raises(ValueError): + self.test_mutator._mutate_structure(NaCl, "Na1+", "Na2+") # TODO Confirm functionality with more complex substitutions @@ -459,15 +407,10 @@ def test_cond_sub_probs(self): with self.subTest(s=s1): cond_sub_probs_test = self.test_mutator.cond_sub_probs(s1) - vals = [ - (s1, s2, self.test_mutator.cond_sub_prob(s1, s2)) - for s2 in ["A", "B", "C"] - ] + vals = [(s1, s2, self.test_mutator.cond_sub_prob(s1, s2)) for s2 in ["A", "B", "C"]] test_df = pd.DataFrame(vals) - test_df: pd.DataFrame = test_df.pivot( - index=0, columns=1, values=2 - ) + test_df: pd.DataFrame = test_df.pivot_table(index=0, columns=1, values=2) # Slice to convert to series assert_series_equal(cond_sub_probs_test, test_df.iloc[0]) @@ -515,7 +458,7 @@ def test_complete_cond_probs(self): ] cond_probs = pd.DataFrame(vals) - cond_probs = cond_probs.pivot(index=0, columns=1, values=2) + cond_probs = cond_probs.pivot_table(index=0, columns=1, values=2) assert_frame_equal(self.test_mutator.complete_cond_probs(), cond_probs) @@ -533,7 +476,7 @@ def test_complete_sub_probs(self): ] sub_probs = pd.DataFrame(vals) - sub_probs = sub_probs.pivot(index=0, columns=1, values=2) + sub_probs = sub_probs.pivot_table(index=0, columns=1, values=2) assert_frame_equal(self.test_mutator.complete_sub_probs(), sub_probs) @@ -551,7 +494,7 @@ def test_complete_pair_corrs(self): ] pair_corrs = pd.DataFrame(vals) - pair_corrs = pair_corrs.pivot(index=0, columns=1, values=2) + pair_corrs = pair_corrs.pivot_table(index=0, columns=1, values=2) assert_frame_equal(self.test_mutator.complete_pair_corrs(), pair_corrs) @@ -584,11 +527,7 @@ def test_prediction(self): with self.subTest(msg="Acquiring predictions"): try: - predictions = list( - sp.predict_structs( - test_specs, thresh=0.02, include_same=False - ) - ) + predictions = list(sp.predict_structs(test_specs, thresh=0.02, include_same=False)) except Exception as e: self.fail(e) diff --git a/smact/tests/test_utils.py b/smact/tests/test_utils.py index aad99f6c..dc18f1f6 100644 --- a/smact/tests/test_utils.py +++ b/smact/tests/test_utils.py @@ -1,3 +1,6 @@ +from __future__ import annotations + +import os import unittest from pymatgen.core import Composition @@ -5,6 +8,7 @@ from smact import Element from smact.screening import smact_filter from smact.utils.composition import comp_maker, formula_maker, parse_formula +from smact.utils.crystal_space import generate_composition_with_smact class TestComposition(unittest.TestCase): @@ -59,9 +63,7 @@ def test_comp_maker(self): self.assertEqual(Composition("FeO"), comp2) self.assertEqual(Composition({"Fe2+": 1, "O2-": 1}), comp1) self.assertEqual(Composition({"Fe2+": 1, "Fe3+": 2, "O2-": 4}), comp3) - self.assertEqual( - Composition({"Li+": 10, "Ge4+": 1, "P5+": 2, "S2-": 12}), comp4 - ) + self.assertEqual(Composition({"Li+": 10, "Ge4+": 1, "P5+": 2, "S2-": 12}), comp4) def test_formula_maker(self): """Test the formula_maker function""" @@ -74,3 +76,19 @@ def test_formula_maker(self): self.assertEqual(form1, form2) self.assertEqual(form3, "Fe3O4") self.assertEqual(form4, "Li10Ge(PS6)2") + + +class TestCrystalSpace(unittest.TestCase): + """Test utility functions associated with Crystal Space.""" + + def test_convert_formula(self): + combinations = [Element("Li"), Element("O")] + expected_formulas = ["Li2O2", "LiO2", "Li2O", "Li2O2"] + compounds = generate_composition_with_smact.convert_formula( + combinations=combinations, num_elements=2, max_stoich=2 + ) + self.assertListEqual(expected_formulas, compounds) + + @unittest.skipUnless(os.environ.get("MP_API_KEY"), "requires MP_API key to be set.") + def test_download_compounds_with_mp_api(self): + pass diff --git a/examples/Simple_wrappers/band_gap_simple.py b/smact/utils/band_gap_simple.py similarity index 71% rename from examples/Simple_wrappers/band_gap_simple.py rename to smact/utils/band_gap_simple.py index 28921865..0c5ca696 100644 --- a/examples/Simple_wrappers/band_gap_simple.py +++ b/smact/utils/band_gap_simple.py @@ -1,4 +1,4 @@ -#!/usr/bin/env python +"""Band gap simple.""" ############################################################################### # Copyright Daniel Davies, Adam J. Jackson (2013) # @@ -15,27 +15,18 @@ # this program. If not, see . # # # ############################################################################### +from __future__ import annotations from smact.properties import band_gap_Harrison if __name__ == "__main__": import argparse - parser = argparse.ArgumentParser( - description="Compound band gap estimates from elemental data." - ) - parser.add_argument( - "-a", "--anion", type=str, help="Element symbol for anion." - ) - parser.add_argument( - "-c", "--cation", type=str, help="Element symbol for cation." - ) - parser.add_argument( - "-d", "--distance", type=float, help="Internuclear separation." - ) - parser.add_argument( - "-v", "--verbose", action="store_true", help="More Verbose output." - ) + parser = argparse.ArgumentParser(description="Compound band gap estimates from elemental data.") + parser.add_argument("-a", "--anion", type=str, help="Element symbol for anion.") + parser.add_argument("-c", "--cation", type=str, help="Element symbol for cation.") + parser.add_argument("-d", "--distance", type=float, help="Internuclear separation.") + parser.add_argument("-v", "--verbose", action="store_true", help="More Verbose output.") args = parser.parse_args() print( diff --git a/smact/utils/composition.py b/smact/utils/composition.py index 29bc660a..bb7da68a 100644 --- a/smact/utils/composition.py +++ b/smact/utils/composition.py @@ -1,4 +1,5 @@ -"""Utility functioms for handling elements, species, formulas and composition""" +"""Utility functioms for handling elements, species, formulas and composition.""" + from __future__ import annotations import re @@ -27,9 +28,7 @@ def parse_formula(formula: str) -> dict[str, float]: if m.group(2) != "": factor = float(m.group(2)) unit_sym_dict = _get_sym_dict(m.group(1), factor) - expanded_sym = "".join( - [f"{el}{amt}" for el, amt in unit_sym_dict.items()] - ) + expanded_sym = "".join([f"{el}{amt}" for el, amt in unit_sym_dict.items()]) expanded_formula = formula.replace(m.group(), expanded_sym) return parse_formula(expanded_formula) return _get_sym_dict(formula, 1) @@ -53,9 +52,7 @@ def _get_sym_dict(formula: str, factor: float) -> dict[str, float]: return sym_dict -def comp_maker( - smact_filter_output: tuple[str, int, int] | tuple[str, int] -) -> Composition: +def comp_maker(smact_filter_output: tuple[str, int, int] | tuple[str, int]) -> Composition: """Convert an item in the output of smact.screening.smact_filer into a Pymatgen Composition. Args: @@ -82,15 +79,13 @@ def comp_maker( return Composition(form) -def formula_maker( - smact_filter_output: tuple[str, int, int] | tuple[str, int] -) -> str: +def formula_maker(smact_filter_output: tuple[str, int, int] | tuple[str, int]) -> str: """Convert an item in the output of smact.screening.smact_filter into a chemical formula. Args: smact_filter_output (tuple[str, int, int]|tuple[str, int]): An item in the list returned from smact_filter - Returns: + Returns: formula (str): A formula """ diff --git a/smact/utils/crystal_space/__init__.py b/smact/utils/crystal_space/__init__.py new file mode 100644 index 00000000..2c9865cf --- /dev/null +++ b/smact/utils/crystal_space/__init__.py @@ -0,0 +1 @@ +"""Utility functions associated with 'Mapping Inorganic Crystal Space' using SMACT.""" diff --git a/examples/Crystal_Space/download_compounds_with_mp_api.py b/smact/utils/crystal_space/download_compounds_with_mp_api.py similarity index 83% rename from examples/Crystal_Space/download_compounds_with_mp_api.py rename to smact/utils/crystal_space/download_compounds_with_mp_api.py index 54b5b0e5..1e93e57e 100644 --- a/examples/Crystal_Space/download_compounds_with_mp_api.py +++ b/smact/utils/crystal_space/download_compounds_with_mp_api.py @@ -1,3 +1,7 @@ +"""Utility functions for downloading compounds from the Materials Project.""" + +from __future__ import annotations + import itertools import json import string @@ -11,7 +15,7 @@ def download_mp_data( - mp_api_key: str = None, + mp_api_key: str | None = None, num_elements: int = 2, max_stoich: int = 8, save_dir: str = "data/binary/mp_api", @@ -24,6 +28,7 @@ def download_mp_data( The data is saved to a specified directory. Args: + ---- mp_api_key (str, optional): the API key for Materials Project. num_elements (int, optional): the number of elements in each compound to consider. Defaults to 2. @@ -35,13 +40,13 @@ def download_mp_data( Defaults to 1. Returns: + ------- None + """ # check if MP_API_KEY is set if mp_api_key is None: - raise ValueError( - "Please set your MP_API_KEY in the environment variable." - ) + raise ValueError("Please set your MP_API_KEY in the environment variable.") # set save directory save_dir = Path(save_dir) save_dir.mkdir(parents=True, exist_ok=True) @@ -49,9 +54,7 @@ def download_mp_data( # make a list for all possible combinartions of formula anonymous symbols = string.ascii_uppercase formula_anonymous_list = [] - for stoichs in itertools.combinations_with_replacement( - range(1, max_stoich + 1), num_elements - ): + for stoichs in itertools.combinations_with_replacement(range(1, max_stoich + 1), num_elements): formula_dict = {symbols[i]: stoich for i, stoich in enumerate(stoichs)} formula_anonymous_list.append(Composition(formula_dict).reduced_formula) formula_anonymous_list = sorted(set(formula_anonymous_list)) @@ -59,7 +62,8 @@ def download_mp_data( e_hull_dict = defaultdict(lambda: float("inf")) for formula_anonymous in tqdm(formula_anonymous_list): - # donwload data from MP + print(f"Downloading data for {formula_anonymous}...") + # download data from MP with MPRester(mp_api_key) as mpr: docs = mpr.materials.summary.search( formula=formula_anonymous, @@ -87,8 +91,6 @@ def download_mp_data( if (energy_above_hull) < e_hull_dict[formula_pretty]: e_hull_dict[formula_pretty] = energy_above_hull - - json.dump( - doc.dict(), open(save_dir / f"{formula_pretty}.json", "w") - ) + with open(save_dir / f"{formula_pretty}.json", "w") as f: + json.dump(doc.dict(), f) time.sleep(request_interval) diff --git a/examples/Crystal_Space/generate_composition_with_smact.py b/smact/utils/crystal_space/generate_composition_with_smact.py similarity index 70% rename from examples/Crystal_Space/generate_composition_with_smact.py rename to smact/utils/crystal_space/generate_composition_with_smact.py index 55449d2b..6478b1f4 100644 --- a/examples/Crystal_Space/generate_composition_with_smact.py +++ b/smact/utils/crystal_space/generate_composition_with_smact.py @@ -1,3 +1,7 @@ +"""Utility functions for SMACT generation of compositions.""" + +from __future__ import annotations + import itertools import multiprocessing import warnings @@ -14,13 +18,21 @@ warnings.simplefilter(action="ignore", category=UserWarning) -def convert_formula(combinations, num_elements, max_stoich): +def convert_formula(combinations: list, num_elements: int, max_stoich: int): + """Convert combinations into chemical formula. + + Args: + combinations (list): list of lists of smact.Element objects. + num_elements (int): the number of elements in a compound. + max_stoich (int): the maximum stoichiometric coefficient. + + Returns: + local_compounds (list): A list of chemical formula. + """ symbols = [element.symbol for element in combinations] local_compounds = [] - for counts in itertools.product( - range(1, max_stoich + 1), repeat=num_elements - ): - formula_dict = {symbol: count for symbol, count in zip(symbols, counts)} + for counts in itertools.product(range(1, max_stoich + 1), repeat=num_elements): + formula_dict = dict(zip(symbols, counts)) formula = Composition(formula_dict).reduced_formula local_compounds.append(formula) return local_compounds @@ -30,13 +42,15 @@ def generate_composition_with_smact( num_elements: int = 2, max_stoich: int = 8, max_atomic_num: int = 103, - num_processes: int = None, - save_path: str = None, + num_processes: int | None = None, + save_path: str | None = None, ): - """Generate all possible compositions of a given number of elements and + """ + Generate all possible compositions of a given number of elements and filter them with SMACT. Args: + ---- num_elements: the number of elements in a compound. Defaults to 2. max_stoich: the maximum stoichiometric coefficient. Defaults to 8. max_atomic_num: the maximum atomic number. Defaults to 103. @@ -44,26 +58,21 @@ def generate_composition_with_smact( save_path: the path to save the results. Defaults to None. Returns: + ------- _description_ - """ + """ # 1. generate all possible combinations of elements print("#1. Generating all possible combinations of elements...") - elements = [ - Element(element) for element in ordered_elements(1, max_atomic_num) - ] + elements = [Element(element) for element in ordered_elements(1, max_atomic_num)] combinations = list(itertools.combinations(elements, num_elements)) print(f"Number of generated combinations: {len(list(combinations))}") # 2. generate all possible stoichiometric combinations print("#2. Generating all possible stoichiometric combinations...") - pool = multiprocessing.Pool( - processes=multiprocessing.cpu_count() - if num_processes is None - else num_processes - ) + pool = multiprocessing.Pool(processes=multiprocessing.cpu_count() if num_processes is None else num_processes) compounds = list( tqdm( pool.imap_unordered( @@ -90,24 +99,14 @@ def generate_composition_with_smact( # 3. filter compounds with smact print("#3. Filtering compounds with SMACT...") elements_pauling = [ - Element(element) - for element in ordered_elements(1, max_atomic_num) - if Element(element).pauling_eneg is not None + Element(element) for element in ordered_elements(1, max_atomic_num) if Element(element).pauling_eneg is not None ] # omit elements without Pauling electronegativity (e.g., He, Ne, Ar, ...) - compounds_pauling = list( - itertools.combinations(elements_pauling, num_elements) - ) + compounds_pauling = list(itertools.combinations(elements_pauling, num_elements)) - pool = multiprocessing.Pool( - processes=multiprocessing.cpu_count() - if num_processes is None - else num_processes - ) + pool = multiprocessing.Pool(processes=multiprocessing.cpu_count() if num_processes is None else num_processes) results = list( tqdm( - pool.imap_unordered( - partial(smact_filter, threshold=max_stoich), compounds_pauling - ), + pool.imap_unordered(partial(smact_filter, threshold=max_stoich), compounds_pauling), total=len(compounds_pauling), ) ) @@ -122,9 +121,7 @@ def generate_composition_with_smact( for result in results: for res in result: symbols_stoich = zip(res[0], res[2]) - composition_dict = { - symbol: stoich for symbol, stoich in symbols_stoich - } + composition_dict = dict(symbols_stoich) smact_allowed.append(Composition(composition_dict).reduced_formula) smact_allowed = list(set(smact_allowed)) print(f"Number of compounds allowed by SMACT: {len(smact_allowed)}") diff --git a/examples/Crystal_Space/plot_embedding.py b/smact/utils/crystal_space/plot_embedding.py similarity index 88% rename from examples/Crystal_Space/plot_embedding.py rename to smact/utils/crystal_space/plot_embedding.py index 8b76f5ef..308be912 100644 --- a/examples/Crystal_Space/plot_embedding.py +++ b/smact/utils/crystal_space/plot_embedding.py @@ -1,10 +1,16 @@ -from pathlib import Path -from typing import List +"""Utility functions for plotting dimension reduced embeddings using plotly.""" + +from __future__ import annotations + +from typing import TYPE_CHECKING import pandas as pd import plotly.graph_objects as go from plotly.subplots import make_subplots +if TYPE_CHECKING: + from pathlib import Path + def update_layout( fig: go.Figure, @@ -14,6 +20,7 @@ def update_layout( width: float = 1200, height: float = 1800, ): + """Update layout of a plotly figure.""" # set axis for i in range(1, num_row + 1): for j in range(1, num_col + 1): @@ -60,21 +67,18 @@ def update_layout( def plot_reducers_embeddings( df_label: pd.DataFrame, - reducers: List[str], - embedding_names: List[str], + reducers: list[str], + embedding_names: list[str], embedding_dir: Path, save_path: Path, symbol: str = "circle", title: str = "Embedding Visualization", ): + """Plot dimension reduction plots.""" fig = make_subplots( rows=6, cols=3, - subplot_titles=[ - f"{reducer} - {embedding_name}" - for embedding_name in embedding_names - for reducer in reducers - ], + subplot_titles=[f"{reducer} - {embedding_name}" for embedding_name in embedding_names for reducer in reducers], vertical_spacing=0.02, horizontal_spacing=0.02, ) @@ -121,7 +125,7 @@ def plot_reducers_embeddings( ) # add legend - for label, _ in legend_colors.items(): + for label in legend_colors: fig.add_trace( go.Scatter( x=[None],