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Discovering Physics-Informed Neural Networks Model for Solving Partial
  Differential Equations through Evolutionary Computation

Discovering Physics-Informed Neural Networks Model for Solving Partial Differential Equations through Evolutionary Computation

18 May 2024
Bo Zhang
Chao Yang
    PINN
ArXivPDFHTML

Papers citing "Discovering Physics-Informed Neural Networks Model for Solving Partial Differential Equations through Evolutionary Computation"

12 / 12 papers shown
Title
Efficient training of physics-informed neural networks via importance
  sampling
Efficient training of physics-informed neural networks via importance sampling
M. A. Nabian
R. J. Gladstone
Hadi Meidani
DiffM
PINN
86
228
0
26 Apr 2021
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
Analysis of three dimensional potential problems in non-homogeneous
  media with physics-informed deep collocation method using material transfer
  learning and sensitivity analysis
Analysis of three dimensional potential problems in non-homogeneous media with physics-informed deep collocation method using material transfer learning and sensitivity analysis
Hongwei Guo
X. Zhuang
Pengwan Chen
N. Alajlan
Timon Rabczuk
34
58
0
03 Oct 2020
Stochastic analysis of heterogeneous porous material with modified
  neural architecture search (NAS) based physics-informed neural networks using
  transfer learning
Stochastic analysis of heterogeneous porous material with modified neural architecture search (NAS) based physics-informed neural networks using transfer learning
Hongwei Guo
X. Zhuang
Timon Rabczuk
43
83
0
03 Oct 2020
VarNet: Variational Neural Networks for the Solution of Partial
  Differential Equations
VarNet: Variational Neural Networks for the Solution of Partial Differential Equations
Reza Khodayi-mehr
Michael M. Zavlanos
82
67
0
16 Dec 2019
Random Search and Reproducibility for Neural Architecture Search
Random Search and Reproducibility for Neural Architecture Search
Liam Li
Ameet Talwalkar
OOD
43
719
0
20 Feb 2019
ProxylessNAS: Direct Neural Architecture Search on Target Task and
  Hardware
ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
Han Cai
Ligeng Zhu
Song Han
44
1,865
0
02 Dec 2018
BlockQNN: Efficient Block-wise Neural Network Architecture Generation
BlockQNN: Efficient Block-wise Neural Network Architecture Generation
Zhaobai Zhong
Zichen Yang
Boyang Deng
Junjie Yan
Wei Wu
Jing Shao
Cheng-Lin Liu
33
114
0
16 Aug 2018
DARTS: Differentiable Architecture Search
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
136
4,326
0
24 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
78
1,373
0
30 Sep 2017
Practical Block-wise Neural Network Architecture Generation
Practical Block-wise Neural Network Architecture Generation
Zhaobai Zhong
Junjie Yan
Wei Wu
Jing Shao
Cheng-Lin Liu
38
126
0
18 Aug 2017
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
58
18,534
0
06 Feb 2015
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