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Semi-analytic PINN methods for singularly perturbed boundary value
  problems

Semi-analytic PINN methods for singularly perturbed boundary value problems

19 August 2022
G. Gie
Youngjoon Hong
Chang-Yeol Jung
    PINN
ArXivPDFHTML

Papers citing "Semi-analytic PINN methods for singularly perturbed boundary value problems"

6 / 6 papers shown
Title
Respecting causality is all you need for training physics-informed
  neural networks
Respecting causality is all you need for training physics-informed neural networks
Sizhuang He
Shyam Sankaran
P. Perdikaris
PINN
CML
AI4CE
116
200
0
14 Mar 2022
Towards Understanding the Spectral Bias of Deep Learning
Towards Understanding the Spectral Bias of Deep Learning
Yuan Cao
Zhiying Fang
Yue Wu
Ding-Xuan Zhou
Quanquan Gu
68
217
0
03 Dec 2019
Variational Physics-Informed Neural Networks For Solving Partial
  Differential Equations
Variational Physics-Informed Neural Networks For Solving Partial Differential Equations
E. Kharazmi
Z. Zhang
George Karniadakis
41
241
0
27 Nov 2019
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
29
446
0
23 Sep 2019
On the Spectral Bias of Neural Networks
On the Spectral Bias of Neural Networks
Nasim Rahaman
A. Baratin
Devansh Arpit
Felix Dräxler
Min Lin
Fred Hamprecht
Yoshua Bengio
Aaron Courville
76
1,408
0
22 Jun 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
83
1,373
0
30 Sep 2017
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