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2020 – today
- 2024
[i6]Tobias Würth, Niklas Freymuth, Clemens Zimmerling, Gerhard Neumann, Luise Kärger:
Physics-informed MeshGraphNets (PI-MGNs): Neural finite element solvers for non-stationary and nonlinear simulations on arbitrary meshes. CoRR abs/2402.10681 (2024)- [i5]Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Simon Reisch, Luise Kärger, Gerhard Neumann:
Adaptive Swarm Mesh Refinement using Deep Reinforcement Learning with Local Rewards. CoRR abs/2406.08440 (2024) - [i4]Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Philipp Becker, Aleksandar Taranovic, Onno Grönheim, Luise Kärger, Gerhard Neumann:
Iterative Sizing Field Prediction for Adaptive Mesh Generation From Expert Demonstrations. CoRR abs/2406.14161 (2024) - 2023
- [c1]Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Simon Reisch, Luise Kärger, Gerhard Neumann:
Swarm Reinforcement Learning for Adaptive Mesh Refinement. NeurIPS 2023 - [i3]Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Luise Kärger
, Gerhard Neumann:
Swarm Reinforcement Learning For Adaptive Mesh Refinement. CoRR abs/2304.00818 (2023) - 2022
- [i2]Nils Meyer, Sergej Ilinzeer, Andrew N. Hrymak, Frank Henning, Luise Kärger:
Non-isothermal direct bundle simulation of SMC compression molding with a non-Newtonian compressible matrix. CoRR abs/2209.04257 (2022) - [i1]Nils Meyer, Sebastian Gajek, Johannes Görthofer, Andrew N. Hrymak, Luise Kärger, Frank Henning, Matti Schneider, Thomas Böhlke:
A probabilistic virtual process chain to quantify process-induced uncertainties in Sheet Molding Compounds. CoRR abs/2209.05873 (2022)
Coauthor Index
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