Publications of the FOR 5339 research group

Here you can find the publications of FOR 5339, which were published with the support of the DFG in the course of the project.


Titel	Autor	Quelle
Physics-informed neural networks for data-free surrogate modelling and engineering optimization – An example from composite manufacturing	Tobias Würth, Constantin Krauß, Clemens Zimmerling, Luise Kärger	Materials & Design, Volume 231, July 2023, 112034 Physics-informed neural networks for data-free surrogate modelling and engineering optimization
GROUNDING GRAPH NETWORK SIMULATORS USING PHYSICAL SENSOR OBSERVATIONS	Jonas Linkerhägner, Niklas Freymuth, Paul Maria Scheikl, Franziska Mathis-Ullrich, Gerhard Neumann,	ICLR 2023, GROUNDING GRAPH NETWORK SIMULATORS USING PHYSICAL SENSOR OBSERVATIONS
Towards Representing Processes and Reasoning with Process Descriptions on the Web	Andreas Harth, Tobias Käfer, Anisa Rula, Jean-Paul	Towards Representing Processes and Reasoning with Process Descriptions on the Web
Latent Task-Specific Graph Network Simulators	Philipp Dahlinger, Niklas Freymuth, Michael Volpp, Tai Hoang, Gerhard Neumann	NeurIPS 2023 AI for Science Workshop, Latent Task-Specific Graph Network Simulators
Multi-target regression and cross-validation for non-isothermal glass molding experiments with small sample sizes	Hendrik Mende, Saksham Kiroriwal, Julius Pfrommer, Robert H. Schmitt, Jürgen Beyerer	SPIE Optifab,
Adaptive Swarm Mesh Refinement	Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Simon Reisch, Luise Kärger, Gerhard Neumann	https://arxiv.org/abs/2304.00818