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

Last synced: 3 days ago
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i-Melt is a machine learning model of the properties of aluminosilicate melts and glasses

• Host: GitHub
• URL: https://github.com/charlesll/i-melt
• Owner: charlesll
• License: mit
• Created: 2018-08-28T23:06:21.000Z (over 6 years ago)
• Default Branch: main
• Last Pushed: 2024-10-16T12:50:47.000Z (3 months ago)
• Last Synced: 2025-01-01T12:11:19.499Z (10 days ago)
• Topics: deep-learning, deep-neural-networks, geosciences, glass, machine-learning, material, pgnn, python, pytorch
• Language: Python
• Homepage: https://i-melt.readthedocs.io/en/latest/
• Size: 1.89 GB
• Stars: 38
• Watchers: 7
• Forks: 10
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: NEWS.md
  • License: LICENSE

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README

        
# 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** [email protected]

## Software Contributors

Charles Le Losq, University Paris Cité, Institut de physique du globe de Paris, [email protected]

Barbara Baldoni, University Paris Cité, Institut de physique du globe de Paris, [email protected]

Andrew P. Valentine, Durham University, [email protected]