Non-isothermal direct bundle simulation of SMC compression molding with a non-Newtonian compressible matrix. - Nils Meyer; Sergej Ilinzeer; Andrew N. Hrymak; Frank Henning; Luise Kärger (CoRR, 2022)

A probabilistic virtual process chain to quantify process-induced uncertainties in Sheet Molding Compounds. - Nils Meyer; Sebastian Gajek; Johannes Görthofer; Andrew N. Hrymak; Luise Kärger; Frank Henning; Matti Schneider; Thomas Böhlke (CoRR, 2022)

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)

Reliable Uncertainty Quantification for Fiber Orientation in Composite Molding Processes using Multilevel Polynomial Surrogates. - Stjepan Salatovic; Sebastian Krumscheid; Florian Wittemann; Luise Kärger (CoRR, 2024)

pyGCodeDecode: A Python package for time-accurate GCode simulation in material extrusion processes. - Jonathan Knirsch; Felix Frölich; Lukas Hof; Florian Wittemann; Luise Kärger (J. Open Source Softw., 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)