Luise Kärger

According to our database, Luise Kärger authored at least 8 papers between 2022 and 2024.

Collaborative distances:

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

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

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

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

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