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arXiv1d ago
4.8

Python library supporting Discrete Variational Formulations and training solutions with Collocation-based Robust Variational Physics Informed Neural Networks (DVF-CRVPINN)

Tomasz S{\l}u\.zalec, Marcin {\L}o\'s, Askold Vilkha, Maciej Paszy\'nski

View original ↗

Analysis

Viral velocity
low
Implementation gapYES
Novelty7/10
Categorytool
Topics
physics-informedpdetraining

Opportunity Brief

Build a robust Python framework for DVF-based PINNs that simplifies the definition of discrete weak formulations for custom PDE solvers.

Suggested repo: dvf-pinn

"Solve complex PDEs using discrete neural formulations."

Estimated effort: 60h