Tobias Würth

According to our database, Tobias Würth authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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

Tobias Würth, Niklas Freymuth, Gerhard Neumann, Luise Kärger

CoRR, June, 2025

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, May, 2025

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

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

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

2023

Swarm Reinforcement Learning For Adaptive Mesh Refinement.

Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Luise Kärger, Gerhard Neumann

CoRR, 2023

Swarm Reinforcement Learning for Adaptive Mesh Refinement.

Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Simon Reisch, Luise Kärger, Gerhard Neumann

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023