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https://github.com/charlesll/i-melt

i-Melt is a machine learning model of the properties of aluminosilicate melts and glasses
https://github.com/charlesll/i-melt

deep-learning deep-neural-networks geosciences glass machine-learning material pgnn python pytorch

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i-Melt is a machine learning model of the properties of aluminosilicate melts and glasses

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# i-Melt

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5342177.svg)](https://doi.org/10.5281/zenodo.5342177)![GitHub](https://img.shields.io/github/license/charlesll/i-melt)

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

## Software Contributors

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