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Spectrally Adapted Physics-Informed Neural Networks for Solving
  Unbounded Domain Problems

Spectrally Adapted Physics-Informed Neural Networks for Solving Unbounded Domain Problems

6 February 2022
Mingtao Xia
Lucas Böttcher
T. Chou
ArXivPDFHTML

Papers citing "Spectrally Adapted Physics-Informed Neural Networks for Solving Unbounded Domain Problems"

3 / 3 papers shown
Title
Failure-informed adaptive sampling for PINNs
Failure-informed adaptive sampling for PINNs
Zhiwei Gao
Liang Yan
Tao Zhou
16
76
0
01 Oct 2022
Fourier Neural Operator for Parametric Partial Differential Equations
Fourier Neural Operator for Parametric Partial Differential Equations
Zong-Yi Li
Nikola B. Kovachki
Kamyar Azizzadenesheli
Burigede Liu
K. Bhattacharya
Andrew M. Stuart
Anima Anandkumar
AI4CE
203
2,281
0
18 Oct 2020
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and
  Inverse PDE Problems with Noisy Data
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data
Liu Yang
Xuhui Meng
George Karniadakis
PINN
170
756
0
13 Mar 2020
1