Papers matching “physics-informed modeling” 11
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Spline-PINN: Approaching PDEs without Data Using Fast, Physics-Informed Hermite-Spline CNNs2022 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Physics and Astronomy Model Reduction and Neural Networks Open access cited by 1 patent
Nils Wandel, Michael Weinmann, Michael Neidlin, Reinhard Klein
60citations -
Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces2025 neural information processing systems conference-paper Physics and Astronomy Model Reduction and Neural Networks Open access
Alejandro García-Castellanos, David R. Wessels, Nicky J. van den Berg, Remco Duits, Daniël M. Pelt, Erik J. Bekkers
0citations -
TN, ROM, ML, PINNs – Four approaches for real-time temperature estimation in electric motors in comparison2022 European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS) conference-paper Engineering Electric Motor Design and Analysis Open access
H. Sauerland, A. Miyamoto, A. Ohazulike, H. Xu, Rik W. De Doncker
0citations -
Data Driven Approach towards More Efficient Newton-Raphson Power Flow Calculation for Distribution Grids2025 University of Twente Research Information conference-paper Engineering Optimal Power Flow Distribution
Jerry Jinfeng Guo, Amirhossein Heydarian Ardakani, Zeynab Kaseb, Betul Mamudi, Lindsay Spoor, Farzad; id_orcid 0009-0000-7865-5822 Vazinram, +5 more
0citations -
Pseudo-rigid body networks: learning interpretable deformable object dynamics from partial observations2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) conference-paper Engineering Soft Robotics and Applications Open access
Shamil Mamedov, A. René Geist, Jan Swevers, Sebastian Trimpe
4citations
11 results