Thermodynamics + Automatic Differentiation

This is a list of repositories that uses Thermodynamics + AD (Automatic Differentiation). Feel free to add your own repository if you use thermodynamics with automatic differenciation. Pull requests are accepted!

Clapeyron.jl

• repository: https://github.com/ClapeyronThermo/Clapeyron.jl
• language: julia
• AD: https://github.com/JuliaDiff/ForwardDiff.jl (forward mode, method overloading)

feos

• repository: https://github.com/feos-org/feos
• language: Rust, python bindings
• AD: https://github.com/itt-ustutt/dualnum (forward mode, method overloading)

teqp

• repository: https://github.com/usnistgov/teqp
• language: C++, python bindings
• AD: https://github.com/autodiff/autodiff (forward mode used?)

PyForFluids (branch)

• repository: https://github.com/fedebenelli/PyForFluids/tree/API_overhaul_autodiff
• language Fortran + python bindings
• AD: https://github.com/google/jax (reverse mode used?)

CP_PC_SAFT.jl

• repository; https://github.com/vvpisarev/CP_PC_SAFT.jl
• language: julia
• AD: https://github.com/JuliaDiff/ForwardDiff.jl (forward mode, method overloading)

YaEoS

• repository: https://github.com/ipqa-research/yaeos
• language: Fortran
• AD: https://github.com/ipqa-research/yaeos/blob/main/src/adiff/hyperdual.f90 (forward mode, method overloading, based on https://github.com/itt-ustutt/num-dual) + Tapenade

thermofun

• repository: https://github.com/thermohub/thermofun
• language: C++, python bindings
• AD: https://github.com/autodiff/autodiff (forward mode used?)