Multifidelity domain decomposition-based physics-informed neural networks and operators for time-dependent problems

15 January 2024

Papers citing "Multifidelity domain decomposition-based physics-informed neural networks and operators for time-dependent problems"

3 / 3 papers shown

Title
Stacked networks improve physics-informed training: applications to neural networks and deep operator networks Amanda A. Howard Sarah H. Murphy Shady E. Ahmed P. Stinis AI4CE 58 18 0 11 Nov 2023
Improved architectures and training algorithms for deep operator networks Sizhuang He Hanwen Wang P. Perdikaris AI4CE 52 105 0 04 Oct 2021
Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations Benjamin Moseley Andrew Markham T. Nissen‐Meyer PINN 48 210 0 16 Jul 2021