Neural Networks with Physics-Informed Architectures and Constraints for
Dynamical Systems Modeling

Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling

14 September 2021

Eric Goubault

Ufuk Topcu

Papers citing "Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling"

6 / 6 papers shown

Title
Meta-Learning Online Dynamics Model Adaptation in Off-Road Autonomous Driving Jacob Levy Jason Gibson Bogdan I. Vlahov Erica Tevere Evangelos A. Theodorou David Fridovich-Keil Patrick Spieler 20 0 0 23 Apr 2025
Neural Port-Hamiltonian Differential Algebraic Equations for Compositional Learning of Electrical Networks Cyrus Neary Nathan Tsao Ufuk Topcu 72 1 0 15 Dec 2024
Robust Biharmonic Skinning Using Geometric Fields Ana Dodik Vincent Sitzmann Justin Solomon Oded Stein 3DH 42 2 0 01 Jun 2024
Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models Yaofeng Desmond Zhong Biswadip Dey Amit Chakraborty 42 34 0 12 Feb 2021
Physics-informed neural networks with hard constraints for inverse design Lu Lu R. Pestourie Wenjie Yao Zhicheng Wang F. Verdugo Steven G. Johnson PINN 39 365 0 09 Feb 2021
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 112 364 0 10 Mar 2020