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
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Citation: CITATION.cff

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