Swarm Reinforcement Learning for Adaptive Mesh Refinement. - Niklas Freymuth; Philipp Dahlinger; Tobias Würth; Simon Reisch; Luise Kärger; Gerhard Neumann (NeurIPS, 2023)

Swarm Reinforcement Learning For Adaptive Mesh Refinement. - Niklas Freymuth; Philipp Dahlinger; Tobias Würth; Luise Kärger; Gerhard Neumann (CoRR, 2023)

Physics-informed MeshGraphNets (PI-MGNs): Neural finite element solvers for non-stationary and nonlinear simulations on arbitrary meshes. - Tobias Würth; Niklas Freymuth; Clemens Zimmerling; Gerhard Neumann; Luise Kärger (CoRR, 2024)

Adaptive Swarm Mesh Refinement using Deep Reinforcement Learning with Local Rewards. - Niklas Freymuth; Philipp Dahlinger; Tobias Würth; Simon Reisch; Luise Kärger; Gerhard Neumann (CoRR, 2024)

Iterative Sizing Field Prediction for Adaptive Mesh Generation From Expert Demonstrations. - Niklas Freymuth; Philipp Dahlinger; Tobias Würth; Philipp Becker; Aleksandar Taranovic; Onno Grönheim; Luise Kärger; Gerhard Neumann (CoRR, 2024)

AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction. - Niklas Freymuth; Tobias Würth; Nicolas Schreiber; Balázs Gyenes; Andreas Boltres; Johannes Mitsch; Aleksandar Taranovic; Tai Hoang; Philipp Dahlinger; Philipp Becker; Luise Kärger; Gerhard Neumann (CoRR, 2025)

Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics. - Tobias Würth; Niklas Freymuth; Gerhard Neumann; Luise Kärger (CoRR, 2025)