Exactly conservative physics-informed neural networks and deep operator networks for dynamical systems

23 November 2023

Papers citing "Exactly conservative physics-informed neural networks and deep operator networks for dynamical systems"

4 / 4 papers shown

Title
Exact conservation laws for neural network integrators of dynamical systems E. Müller PINN 91 13 0 23 Sep 2022
Respecting causality is all you need for training physics-informed neural networks Sizhuang He Shyam Sankaran P. Perdikaris PINN CML AI4CE 138 200 0 14 Mar 2022
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 160 195 0 19 Apr 2021
DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators Lu Lu Pengzhan Jin George Karniadakis 235 2,123 0 08 Oct 2019