ResearchTrend.AI
Symmetry group based domain decomposition to enhance physics-informed neural networks for solving partial differential equations

Symmetry group based domain decomposition to enhance physics-informed neural networks for solving partial differential equations

Ye Liu
Jie-Ying Li
Li-sheng Zhang
Lei‐Lei Guo
Zhi-Yong Zhang
ArXivPDFHTML

Papers citing "Symmetry group based domain decomposition to enhance physics-informed neural networks for solving partial differential equations"

4 / 4 papers shown
Title
Parallel Physics-Informed Neural Networks via Domain Decomposition
Parallel Physics-Informed Neural Networks via Domain Decomposition
K. Shukla
Ameya Dilip Jagtap
George Karniadakis
PINN
132
280
0
20 Apr 2021
PPINN: Parareal Physics-Informed Neural Network for time-dependent PDEs
PPINN: Parareal Physics-Informed Neural Network for time-dependent PDEs
Xuhui Meng
Zhen Li
Dongkun Zhang
George Karniadakis
PINN
AI4CE
36
446
0
23 Sep 2019
Covariant Compositional Networks For Learning Graphs
Covariant Compositional Networks For Learning Graphs
Risi Kondor
H. Son
Horace Pan
Brandon M. Anderson
Shubhendu Trivedi
GNN
57
167
0
07 Jan 2018
The Deep Ritz method: A deep learning-based numerical algorithm for solving variational problems
The Deep Ritz method: A deep learning-based numerical algorithm for solving variational problems
E. Weinan
Ting Yu
97
1,373
0
30 Sep 2017