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MOD-Net: A Machine Learning Approach via Model-Operator-Data Network for
  Solving PDEs

MOD-Net: A Machine Learning Approach via Model-Operator-Data Network for Solving PDEs

8 July 2021
Lulu Zhang
Tao Luo
Yaoyu Zhang
Weinan E
Z. Xu
Zheng Ma
    AI4CE
ArXivPDFHTML

Papers citing "MOD-Net: A Machine Learning Approach via Model-Operator-Data Network for Solving PDEs"

11 / 11 papers shown
Title
Macroscopic auxiliary asymptotic preserving neural networks for the
  linear radiative transfer equations
Macroscopic auxiliary asymptotic preserving neural networks for the linear radiative transfer equations
Hongyan Li
Song Jiang
Wenjun Sun
Liwei Xu
Guanyu Zhou
19
2
0
04 Mar 2024
Generating synthetic data for neural operators
Generating synthetic data for neural operators
Erisa Hasani
Rachel A. Ward
AI4CE
45
7
0
04 Jan 2024
Learning Specialized Activation Functions for Physics-informed Neural
  Networks
Learning Specialized Activation Functions for Physics-informed Neural Networks
Honghui Wang
Lu Lu
Shiji Song
Gao Huang
PINN
AI4CE
16
11
0
08 Aug 2023
Laplace-fPINNs: Laplace-based fractional physics-informed neural
  networks for solving forward and inverse problems of subdiffusion
Laplace-fPINNs: Laplace-based fractional physics-informed neural networks for solving forward and inverse problems of subdiffusion
Xiongbin Yan
Zhi-Qin John Xu
Zheng Ma
22
2
0
03 Apr 2023
Approximation of Functionals by Neural Network without Curse of
  Dimensionality
Approximation of Functionals by Neural Network without Curse of Dimensionality
Yahong Yang
Yang Xiang
13
6
0
28 May 2022
BI-GreenNet: Learning Green's functions by boundary integral network
BI-GreenNet: Learning Green's functions by boundary integral network
Guochang Lin
Fu-jun Chen
Pipi Hu
Xiang Chen
Junqing Chen
Jun Wang
Zuoqiang Shi
34
20
0
28 Apr 2022
Overview frequency principle/spectral bias in deep learning
Overview frequency principle/spectral bias in deep learning
Z. Xu
Yaoyu Zhang
Tao Luo
FaML
25
65
0
19 Jan 2022
Physics-Informed Neural Operator for Learning Partial Differential
  Equations
Physics-Informed Neural Operator for Learning Partial Differential Equations
Zong-Yi Li
Hongkai Zheng
Nikola B. Kovachki
David Jin
Haoxuan Chen
Burigede Liu
Kamyar Azizzadenesheli
Anima Anandkumar
AI4CE
60
380
0
06 Nov 2021
On the eigenvector bias of Fourier feature networks: From regression to
  solving multi-scale PDEs with physics-informed neural networks
On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks
Sifan Wang
Hanwen Wang
P. Perdikaris
131
438
0
18 Dec 2020
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
2,282
0
18 Oct 2020
Multi-scale Deep Neural Network (MscaleDNN) for Solving
  Poisson-Boltzmann Equation in Complex Domains
Multi-scale Deep Neural Network (MscaleDNN) for Solving Poisson-Boltzmann Equation in Complex Domains
Ziqi Liu
Wei Cai
Zhi-Qin John Xu
AI4CE
197
156
0
22 Jul 2020
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