17 citations · 25 across the 3 of their papers we have counts for
Showing cs.CEShow all
2 papers · 1 filter
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…
cs.CE2023★ 17 cited
Comparison of Neural FEM and Neural Operator Methods for applications in Solid Mechanics
Stefan Hildebrand, Sandra Klinge
Machine Learning methods belong to the group of most up-to-date approaches for solving partial differential equations. The current work investigates two classes, Neural FEM and Neu…