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SeismicNet: Physics-informed neural networks for seismic wave modeling
  in semi-infinite domain

SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain

25 October 2022
Pu Ren
Chengping Rao
Su Chen
Jian-Xun Wang
Hao-Lun Sun
Yang Liu
ArXivPDFHTML

Papers citing "SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain"

14 / 14 papers shown
Title
Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective
Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective
Sifan Wang
Ananyae Kumar Bhartari
Bowen Li
P. Perdikaris
PINN
54
4
0
02 Feb 2025
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems
Bocheng Zeng
Qi Wang
M. Yan
Y. Liu
Ruizhi Chengze
Yi Zhang
Hongsheng Liu
Zidong Wang
Hao Sun
AI4CE
21
3
0
02 Oct 2024
Scientific Machine Learning Seismology
Scientific Machine Learning Seismology
Tomohisa Okazaki
PINN
AI4CE
46
0
0
27 Sep 2024
Discovery and inversion of the viscoelastic wave equation in inhomogeneous media
Discovery and inversion of the viscoelastic wave equation in inhomogeneous media
Su Chen
Yi Ding
Hiroe Miyake
Xiaojun Li
34
0
0
27 Sep 2024
Learning Physics for Unveiling Hidden Earthquake Ground Motions via
  Conditional Generative Modeling
Learning Physics for Unveiling Hidden Earthquake Ground Motions via Conditional Generative Modeling
Pu Ren
R. Nakata
Maxime Lacour
Ilan Naiman
Nori Nakata
...
Osman Asif Malik
Dmitriy Morozov
Omri Azencot
N. Benjamin Erichson
Michael W. Mahoney
AI4CE
25
8
0
21 Jul 2024
Initialization-enhanced Physics-Informed Neural Network with Domain
  Decomposition (IDPINN)
Initialization-enhanced Physics-Informed Neural Network with Domain Decomposition (IDPINN)
Chenhao Si
Ming Yan
AI4CE
PINN
33
3
0
05 Jun 2024
Hierarchical deep learning-based adaptive time-stepping scheme for
  multiscale simulations
Hierarchical deep learning-based adaptive time-stepping scheme for multiscale simulations
Asif Hamid
Danish Rafiq
S. A. Nahvi
M. A. Bazaz
AI4CE
26
1
0
10 Nov 2023
PINNslope: seismic data interpolation and local slope estimation with
  physics informed neural networks
PINNslope: seismic data interpolation and local slope estimation with physics informed neural networks
F. Brandolin
M. Ravasi
T. Alkhalifah
27
9
0
25 May 2023
Physics-informed neural network for seismic wave inversion in layered
  semi-infinite domain
Physics-informed neural network for seismic wave inversion in layered semi-infinite domain
Pu Ren
Chengping Rao
Haoqin Sun
Yang Liu
PINN
19
5
0
09 May 2023
Fourier Neural Operator Surrogate Model to Predict 3D Seismic Waves
  Propagation
Fourier Neural Operator Surrogate Model to Predict 3D Seismic Waves Propagation
F. Lehmann
F. Gatti
M. Bertin
Didier Clouteau
AI4CE
10
24
0
20 Apr 2023
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded
  Learning
Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning
Chengping Rao
Pu Ren
Yang Liu
Hao-Lun Sun
AI4CE
28
26
0
28 Jan 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
2,272
0
18 Oct 2020
MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time
  Super-Resolution Framework
MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework
C. Jiang
S. Esmaeilzadeh
Kamyar Azizzadenesheli
K. Kashinath
Mustafa A. Mustafa
H. Tchelepi
P. Marcus
P. Prabhat
Anima Anandkumar
AI4CE
182
140
0
01 May 2020
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain
  Decomposition
hp-VPINNs: Variational Physics-Informed Neural Networks With Domain Decomposition
E. Kharazmi
Zhongqiang Zhang
George Karniadakis
117
506
0
11 Mar 2020
1