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Deep Learning of Subsurface Flow via Theory-guided Neural Network

Deep Learning of Subsurface Flow via Theory-guided Neural Network

24 October 2019
Nanzhe Wang
Dongxiao Zhang
Haibin Chang
Heng Li
    AI4CE
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Papers citing "Deep Learning of Subsurface Flow via Theory-guided Neural Network"

4 / 4 papers shown
Title
Uncertainty quantification of two-phase flow in porous media via
  coupled-TgNN surrogate model
Uncertainty quantification of two-phase flow in porous media via coupled-TgNN surrogate model
Jun Yu Li
Dongxiao Zhang
Tianhao He
Q. Zheng
AI4CE
17
6
0
28 May 2022
Use of Multifidelity Training Data and Transfer Learning for Efficient
  Construction of Subsurface Flow Surrogate Models
Use of Multifidelity Training Data and Transfer Learning for Efficient Construction of Subsurface Flow Surrogate Models
Su Jiang
L. Durlofsky
AI4CE
11
29
0
23 Apr 2022
A Gradient-based Deep Neural Network Model for Simulating Multiphase
  Flow in Porous Media
A Gradient-based Deep Neural Network Model for Simulating Multiphase Flow in Porous Media
B. Yan
D. Harp
R. Pawar
AI4CE
12
62
0
30 Apr 2021
Theory-guided Auto-Encoder for Surrogate Construction and Inverse
  Modeling
Theory-guided Auto-Encoder for Surrogate Construction and Inverse Modeling
Nanzhe Wang
Haibin Chang
Dongxiao Zhang
AI4CE
15
48
0
17 Nov 2020
1