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Residual resampling-based physics-informed neural network for neutron
  diffusion equations

Residual resampling-based physics-informed neural network for neutron diffusion equations

23 June 2024
Heng Zhang
Yun-Ling He
Dong Liu
Qin Hang
He-Min Yao
Di Xiang
    DiffMAI4CE
ArXiv (abs)PDFHTML

Papers citing "Residual resampling-based physics-informed neural network for neutron diffusion equations"

4 / 4 papers shown
Title
A comprehensive study of non-adaptive and residual-based adaptive
  sampling for physics-informed neural networks
A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks
Chen-Chun Wu
Min Zhu
Qinyan Tan
Yadhu Kartha
Lu Lu
93
383
0
21 Jul 2022
Physics-informed neural networks (PINNs) for fluid mechanics: A review
Physics-informed neural networks (PINNs) for fluid mechanics: A review
Shengze Cai
Zhiping Mao
Zhicheng Wang
Minglang Yin
George Karniadakis
PINNAI4CE
88
1,209
0
20 May 2021
Self-Adaptive Physics-Informed Neural Networks using a Soft Attention
  Mechanism
Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism
L. McClenny
U. Braga-Neto
PINN
90
461
0
07 Sep 2020
DeepXDE: A deep learning library for solving differential equations
DeepXDE: A deep learning library for solving differential equations
Lu Lu
Xuhui Meng
Zhiping Mao
George Karniadakis
PINNAI4CE
99
1,549
0
10 Jul 2019
1