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"

14 / 14 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 39 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
Generative AI and Process Systems Engineering: The Next Frontier Benjamin Decardi-Nelson Abdulelah S. Alshehri Akshay Ajagekar Fengqi You AI4CE LLMAG 24 24 0 15 Feb 2024
Port-Hamiltonian Neural ODE Networks on Lie Groups For Robot Dynamics Learning and Control T. Duong Abdullah Altawaitan Jason Stanley Nikolay A. Atanasov 23 10 0 17 Jan 2024
Refining Human-Centered Autonomy Using Side Information Adam J. Thorpe 32 0 0 09 May 2023
Physics Constrained Motion Prediction with Uncertainty Quantification Renukanandan Tumu Lars Lindemann Truong X. Nghiem Rahul Mangharam 21 19 0 02 Feb 2023
Knowledge-augmented Deep Learning and Its Applications: A Survey Zijun Cui Tian Gao Kartik Talamadupula Qiang Ji 22 17 0 30 Nov 2022
Physical Activation Functions (PAFs): An Approach for More Efficient Induction of Physics into Physics-Informed Neural Networks (PINNs) J. Abbasi Paal Ostebo Andersen PINN AI4CE 25 14 0 29 May 2022
Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs Franck Djeumou Cyrus Neary Eric Goubault S. Putot Ufuk Topcu AI4TS 16 17 0 14 Jan 2022
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling Naoya Takeishi Alexandros Kalousis DRL AI4CE 22 54 0 25 Feb 2021
Extending Lagrangian and Hamiltonian Neural Networks with Differentiable Contact Models Yaofeng Desmond Zhong Biswadip Dey Amit Chakraborty 52 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 39 494 0 09 Feb 2021
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 130 422 0 10 Mar 2020