i-Melt is a physics-guided neural network model, that combines deep neural networks with physical equations to predict the structural, thermodynamic and dynamic properties of aluminosilicate melts and glasses.
- Web app https://share.streamlit.io/charlesll/i-melt/imelt_streamlit.py
- Documentation (in progress) https://i-melt.readthedocs.io/en/latest/
- Source code: https://github.com/charlesll/i-melt/tree/master/i-melt/imelt.py
- License: https://github.com/charlesll/i-melt/LICENSE
- Bug reports: https://github.com/charlesll/i-melt/issues
- Contact [email protected]
Please see the original publication Le Losq et al. (2021) for details: https://www.sciencedirect.com/science/article/abs/pii/S0016703721005007
Charles Le Losq, University of Paris, Institut de physique du globe de Paris, [email protected]
Andrew P. Valentine, Durham University, [email protected]