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Deep Neural Network Modeling of Unknown Partial Differential Equations
  in Nodal Space

Deep Neural Network Modeling of Unknown Partial Differential Equations in Nodal Space

7 June 2021
Zhen Chen
V. Churchill
Kailiang Wu
D. Xiu
    AI4CE
ArXivPDFHTML

Papers citing "Deep Neural Network Modeling of Unknown Partial Differential Equations in Nodal Space"

15 / 15 papers shown
Title
Data-driven learning of non-autonomous systems
Data-driven learning of non-autonomous systems
Tong Qin
Zhen Chen
J. Jakeman
D. Xiu
37
19
0
02 Jun 2020
Learning reduced systems via deep neural networks with memory
Learning reduced systems via deep neural networks with memory
Xiaohang Fu
L. Chang
D. Xiu
36
32
0
20 Mar 2020
Data-Driven Deep Learning of Partial Differential Equations in Modal
  Space
Data-Driven Deep Learning of Partial Differential Equations in Modal Space
Kailiang Wu
D. Xiu
106
152
0
15 Oct 2019
DeepONet: Learning nonlinear operators for identifying differential
  equations based on the universal approximation theorem of operators
DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators
Lu Lu
Pengzhan Jin
George Karniadakis
222
2,119
0
08 Oct 2019
NeuPDE: Neural Network Based Ordinary and Partial Differential Equations
  for Modeling Time-Dependent Data
NeuPDE: Neural Network Based Ordinary and Partial Differential Equations for Modeling Time-Dependent Data
Yifan Sun
Linan Zhang
Hayden Schaeffer
AI4TS
52
91
0
08 Aug 2019
Structure-preserving Method for Reconstructing Unknown Hamiltonian
  Systems from Trajectory Data
Structure-preserving Method for Reconstructing Unknown Hamiltonian Systems from Trajectory Data
Kailiang Wu
Tong Qin
D. Xiu
43
31
0
24 May 2019
PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep
  Network
PDE-Net 2.0: Learning PDEs from Data with A Numeric-Symbolic Hybrid Deep Network
Zichao Long
Yiping Lu
Bin Dong
AI4CE
65
552
0
30 Nov 2018
Data Driven Governing Equations Approximation Using Deep Neural Networks
Data Driven Governing Equations Approximation Using Deep Neural Networks
Tong Qin
Kailiang Wu
D. Xiu
PINN
62
273
0
13 Nov 2018
Numerical Aspects for Approximating Governing Equations Using Data
Numerical Aspects for Approximating Governing Equations Using Data
Kailiang Wu
D. Xiu
42
68
0
24 Sep 2018
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial
  Differential Equations
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
M. Raissi
PINN
AI4CE
112
754
0
20 Jan 2018
Multistep Neural Networks for Data-driven Discovery of Nonlinear
  Dynamical Systems
Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems
M. Raissi
P. Perdikaris
George Karniadakis
PINN
141
266
0
04 Jan 2018
Physics Informed Deep Learning (Part II): Data-driven Discovery of
  Nonlinear Partial Differential Equations
Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations
M. Raissi
P. Perdikaris
George Karniadakis
PINN
AI4CE
78
613
0
28 Nov 2017
Physics Informed Deep Learning (Part I): Data-driven Solutions of
  Nonlinear Partial Differential Equations
Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations
M. Raissi
P. Perdikaris
George Karniadakis
PINN
AI4CE
75
924
0
28 Nov 2017
PDE-Net: Learning PDEs from Data
PDE-Net: Learning PDEs from Data
Zichao Long
Yiping Lu
Xianzhong Ma
Bin Dong
DiffM
AI4CE
38
755
0
26 Oct 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,814
0
10 Dec 2015
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