Weak Form Theory-guided Neural Network (TgNN-wf) for Deep Learning of
Subsurface Single and Two-phase Flow

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Weak Form Theory-guided Neural Network (TgNN-wf) for Deep Learning of Subsurface Single and Two-phase Flow

8 September 2020

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Papers citing "Weak Form Theory-guided Neural Network (TgNN-wf) for Deep Learning of Subsurface Single and Two-phase Flow"

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Title
Machine learning and domain decomposition methods -- a survey A. Klawonn M. Lanser J. Weber AI4CE 57 9 0 21 Dec 2023
Partial Differential Equations Meet Deep Neural Networks: A Survey Shudong Huang Wentao Feng Chenwei Tang Jiancheng Lv AI4CE AIMat 77 21 0 27 Oct 2022
Semi-analytic PINN methods for singularly perturbed boundary value problems G. Gie Youngjoon Hong Chang-Yeol Jung PINN 70 6 0 19 Aug 2022
Unsupervised Legendre-Galerkin Neural Network for Singularly Perturbed Partial Differential Equations Junho Choi N. Kim Youngjoon Hong AI4CE 91 0 0 21 Jul 2022
AutoKE: An automatic knowledge embedding framework for scientific machine learning Mengge Du Yuntian Chen Dongxiao Zhang AI4CE 75 11 0 11 May 2022
Competitive Physics Informed Networks Qi Zeng Yash Kothari Spencer H. Bryngelson F. Schafer PINN 92 21 0 23 Apr 2022
Uncertainty quantification and inverse modeling for subsurface flow in 3D heterogeneous formations using a theory-guided convolutional encoder-decoder network Rui Xu Dongxiao Zhang Nanzhe Wang AI4CE 85 17 0 14 Nov 2021
Surrogate and inverse modeling for two-phase flow in porous media via theory-guided convolutional neural network Nanzhe Wang Haibin Chang Dongxiao Zhang 77 36 0 12 Oct 2021
Deep neural network for solving differential equations motivated by Legendre-Galerkin approximation Bryce Chudomelka Youngjoon Hong Hyunwoo J. Kim Jinyoung Park 74 7 0 24 Oct 2020
Deep Learning of Subsurface Flow via Theory-guided Neural Network Nanzhe Wang Dongxiao Zhang Haibin Chang Heng Li AI4CE 106 234 0 24 Oct 2019