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
PinnDE: Physics-Informed Neural Networks for Solving Differential Equations Jason Matthews Alex Bihlo PINN 26 1 0 19 Aug 2024
Predictions Based on Pixel Data: Insights from PDEs and Finite Differences E. Celledoni James Jackaman Davide Murari B. Owren 4 1 0 01 May 2023
Exact conservation laws for neural network integrators of dynamical systems E. Müller PINN 37 12 0 23 Sep 2022
A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups Marc Finzi Max Welling A. Wilson 71 185 0 19 Apr 2021