https://github.com/charlesll/i-melt
i-Melt is a machine learning model of the properties of aluminosilicate melts and glasses
Science Score: 49.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Committers with academic emails
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (5.5%) to scientific vocabulary
Keywords
Repository
i-Melt is a machine learning model of the properties of aluminosilicate melts and glasses
Basic Info
- Host: GitHub
- Owner: charlesll
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://i-melt.readthedocs.io/en/latest/
- Size: 1.89 GB
Statistics
- Stars: 39
- Watchers: 6
- Forks: 10
- Open Issues: 0
- Releases: 9
Topics
Metadata Files
README.md
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
Owner
- Name: Charles Le Losq
- Login: charlesll
- Kind: user
- Location: France
- Company: Institut de physique du globe de Paris
- Website: https://charlesll.github.io/
- Twitter: Charles_LeLosq
- Repositories: 49
- Profile: https://github.com/charlesll
Geoscientist, Assistant Professor, willing to improve data reduction protocols through programming and data science
GitHub Events
Total
- Watch event: 1
- Push event: 5
Last Year
- Watch event: 1
- Push event: 5
Committers
Last synced: 11 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Charles Le Losq | l****q@i****r | 48 |
| Charles Le Losq | l****q@p****r | 13 |
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 1
- Total pull requests: 1
- Average time to close issues: 1 day
- Average time to close pull requests: less than a minute
- Total issue authors: 1
- Total pull request authors: 1
- Average comments per issue: 1.0
- Average comments per pull request: 0.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- 774030871 (1)
Pull Request Authors
- charlesll (2)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
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Total downloads:
- pypi 61 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 5
- Total maintainers: 1
pypi.org: imelt
A physics-guided neural network model for the prediction of structural, thermodynamic and dynamic properties of aluminosilicate melts and glasses.
- Homepage: https://github.com/charlesll/i-melt
- Documentation: https://i-melt.readthedocs.io/en/latest/
- License: MIT License Copyright (c) 2021-2025 Charles Le Losq, Barbara Baldoni, Andrew Valentine Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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Latest release: 2.2.0
published 8 months ago