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://i-melt.streamlit.app/
- Documentation (in progress) https://i-melt.readthedocs.io/en/latest/
- Source code: https://github.com/charlesll/i-melt/tree/main/i-melt/src/
- License: https://github.com/charlesll/i-melt/LICENSE
- References: https://i-melt.readthedocs.io/en/latest/references.html
- Bug reports: https://github.com/charlesll/i-melt/issues
- Contact lelosq@ipgp.fr
Charles Le Losq, University Paris Cité, Institut de physique du globe de Paris, lelosq@ipgp.fr
Barbara Baldoni, University Paris Cité, Institut de physique du globe de Paris, baldoni@ipgp.fr
Andrew P. Valentine, Durham University, andrew.valentine@durham.ac.uk