Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1911.00103
Cited By
Deep Learning of Subsurface Flow via Theory-guided Neural Network
24 October 2019
Nanzhe Wang
Dongxiao Zhang
Haibin Chang
Heng Li
AI4CE
Re-assign community
ArXiv
PDF
HTML
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
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
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
B. Yan
D. Harp
R. Pawar
AI4CE
12
62
0
30 Apr 2021
Theory-guided Auto-Encoder for Surrogate Construction and Inverse Modeling
Nanzhe Wang
Haibin Chang
Dongxiao Zhang
AI4CE
15
48
0
17 Nov 2020
1