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Tobias Würth

2 accepted papers

2025

AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction

NeurIPS 2025poster

The cost and accuracy of simulating complex physical systems using the Finite Element Method (FEM) scales with the resolution of the underlying mesh. Adaptive meshes improve computational efficiency by refining resolution in critical regions, but typically require task-specific heuristics or cumbers…

Cited by 0SourcecodeScholar
2025

Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics

NeurIPS 2025spotlight

Graph-based learned simulators have emerged as a promising approach for simulating physical systems on unstructured meshes, offering speed and generalization across diverse geometries. However, they often struggle with capturing global phenomena, such as bending or long-range correlations usually oc…

Cited by 0SourceScholar