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20242026
most citedHybrid data-driven and physics-informed regularized learning of cyclic plasticity with Neural Networks

8 citations · 8 across the 2 of their papers we have counts for

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cs.CE2026

A mesh-based neural energy method for the simulation of heterogeneous composites

Pius J. M. Wichmann, Stefan Hildebrand, Sandra Klinge

Modeling heterogeneous materials remains a challenge for physics-informed neural networks such as the deep energy method (DEM). The DEM and its variants, here collectively referred…