https://github.com/dataanalyticsengineering/voigtreussnet
Surrogates for microstructure property linkages that inherently fulfill the Voigt-Reuss bounds.
https://github.com/dataanalyticsengineering/voigtreussnet
homogenization multiscale-modeling neural-networks physics-constrained scientific-machine-learning structure-property-linkages
Last synced: 3 months ago
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Surrogates for microstructure property linkages that inherently fulfill the Voigt-Reuss bounds.
- Host: GitHub
- URL: https://github.com/dataanalyticsengineering/voigtreussnet
- Owner: DataAnalyticsEngineering
- License: lgpl-3.0
- Created: 2025-06-23T10:57:24.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2026-02-16T16:07:22.000Z (4 months ago)
- Last Synced: 2026-02-16T22:47:41.461Z (4 months ago)
- Topics: homogenization, multiscale-modeling, neural-networks, physics-constrained, scientific-machine-learning, structure-property-linkages
- Language: Python
- Homepage:
- Size: 27.3 MB
- Stars: 4
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
- Citation: CITATION.cff