Deep Learning of Subsurface Flow via Theory-guided Neural Network

24 October 2019

Papers citing "Deep Learning of Subsurface Flow via Theory-guided Neural Network"

50 / 57 papers shown

Title
Optimization of geological carbon storage operations with multimodal latent dynamic model and deep reinforcement learning Zhongzheng Wang Yuntian Chen Guodong Chen Dongxiao Zhang AI4CE 81 1 0 07 Jun 2024
Towards Interpretable Physical-Conceptual Catchment-Scale Hydrological Modeling using the Mass-Conserving-Perceptron Yuan-Heng Wang Hoshin V. Gupta AI4CE 153 3 0 25 Jan 2024
Filtered Partial Differential Equations: a robust surrogate constraint in physics-informed deep learning framework Dashan Zhang Yuntian Chen Shiyi Chen AI4CE 82 2 0 07 Nov 2023
Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources J. Willard C. Varadharajan X. Jia Vipin Kumar AI4TS 81 4 0 18 Aug 2023
Worth of knowledge in deep learning Hao Xu Yuntian Chen Dong-juan Zhang 61 0 0 03 Jul 2023
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs Zhongkai Hao J. Yao Chang Su Hang Su Ziao Wang ... Zeyu Xia Yichi Zhang Songming Liu Lu Lu Jun Zhu PINN 109 35 0 15 Jun 2023
Depression Detection Using Digital Traces on Social Media: A Knowledge-aware Deep Learning Approach Wenli Zhang Jiaheng Xie Zhuocheng Zhang Xiang Liu 76 10 0 06 Mar 2023
Differentiable modeling to unify machine learning and physical models and advance Geosciences Chaopeng Shen A. Appling Pierre Gentine Toshiyuki Bandai H. Gupta ... Chris Rackauckas Tirthankar Roy Chonggang Xu Binayak Mohanty K. Lawson AI4CE 110 15 0 10 Jan 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
TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning Jiaxin Gao Wenbo Hu Dongxiao Zhang Yuntian Chen AI4TS AI4CE 83 2 0 05 Oct 2022
Phy-Taylor: Physics-Model-Based Deep Neural Networks Y. Mao L. Sha Huajie Shao Yuliang Gu Qixin Wang Tarek Abdelzaher PINN AI4CE 101 1 0 27 Sep 2022
Solving Seismic Wave Equations on Variable Velocity Models with Fourier Neural Operator Bian Li Hanchen Wang Shihang Feng Xiu Yang Youzuo Lin 121 37 0 25 Sep 2022
Uncertainty quantification of two-phase flow in porous media via coupled-TgNN surrogate model Jun Yu Li Dongxiao Zhang Tianhao He Q. Zheng AI4CE 83 7 0 28 May 2022
AutoKE: An automatic knowledge embedding framework for scientific machine learning Mengge Du Yuntian Chen Dongxiao Zhang AI4CE 78 11 0 11 May 2022
Inferring electrochemical performance and parameters of Li-ion batteries based on deep operator networks Qi Zheng Xiaoguang Yin Dongxiao Zhang 76 11 0 06 May 2022
Identification of Physical Processes and Unknown Parameters of 3D Groundwater Contaminant Problems via Theory-guided U-net Tianhao He Haibin Chang Dongxiao Zhang PINN AI4CE 80 0 0 30 Apr 2022
Use of Multifidelity Training Data and Transfer Learning for Efficient Construction of Subsurface Flow Surrogate Models Su Jiang L. Durlofsky AI4CE 83 31 0 23 Apr 2022
Integration of knowledge and data in machine learning Yuntian Chen Dongxiao Zhang PINN 93 34 0 15 Feb 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 80 37 0 12 Oct 2021
Transfer Learning Approaches for Knowledge Discovery in Grid-based Geo-Spatiotemporal Data Aishwarya Sarkar Jien Zhang Chaoqun Lu Ali Jannesari AI4CE 90 2 0 02 Oct 2021
Physics-informed Convolutional Neural Networks for Temperature Field Prediction of Heat Source Layout without Labeled Data Xiaoyu Zhao Zhiqiang Gong Yunyang Zhang Wen Yao Xiaoqian Chen OOD AI4CE 133 96 0 26 Sep 2021
Domain-guided Machine Learning for Remotely Sensed In-Season Crop Growth Estimation G. Worrall Anand Rangarajan J. Judge 81 7 0 24 Jun 2021
Any equation is a forest: Symbolic genetic algorithm for discovering open-form partial differential equations (SGA-PDE) Yuntian Chen Yingtao Luo Qiang Liu Hao Xu Dongxiao Zhang AI4CE 111 57 0 09 Jun 2021
Physics-Guided Discovery of Highly Nonlinear Parametric Partial Differential Equations Yingtao Luo Qiang Liu Yuntian Chen Wenbo Hu Tian Tian Jun Zhu DiffM 113 4 0 02 Jun 2021
Robust discovery of partial differential equations in complex situations Hao Xu Dongxiao Zhang AI4CE 87 29 0 31 May 2021
A Physics-Constrained Deep Learning Model for Simulating Multiphase Flow in 3D Heterogeneous Porous Media B. Yan D. Harp Bailian Chen R. Pawar AI4CE 63 75 0 30 Apr 2021
A Gradient-based Deep Neural Network Model for Simulating Multiphase Flow in Porous Media B. Yan D. Harp R. Pawar AI4CE 100 68 0 30 Apr 2021
Finite Volume Neural Network: Modeling Subsurface Contaminant Transport T. Praditia Matthias Karlbauer S. Otte S. Oladyshkin Martin Volker Butz Wolfgang Nowak AI4CE 72 18 0 13 Apr 2021
Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method Yuntian Chen Dou Huang Dongxiao Zhang Junsheng Zeng Nanzhe Wang Haoran Zhang Jinyue Yan PINN 76 111 0 11 Dec 2020
Theory-guided Auto-Encoder for Surrogate Construction and Inverse Modeling Nanzhe Wang Haibin Chang Dongxiao Zhang AI4CE 72 52 0 17 Nov 2020
Weak Form Theory-guided Neural Network (TgNN-wf) for Deep Learning of Subsurface Single and Two-phase Flow R. Xu Dongxiao Zhang Miao Rong Nanzhe Wang AI4CE 83 51 0 08 Sep 2020
A Lagrangian Dual-based Theory-guided Deep Neural Network Miao Rong Dongxiao Zhang Nanzhe Wang 68 14 0 24 Aug 2020
Deep-Learning based Inverse Modeling Approaches: A Subsurface Flow Example Nanzhe Wang Haibin Chang Dongxiao Zhang AI4CE 77 61 0 28 Jul 2020
Predicting and Mapping of Soil Organic Carbon Using Machine Learning Algorithms in Northern Iran Mostafa Emadi R. Taghizadeh‐Mehrjardi A. Cherati M. Danesh Amir H. Mosavi T. Scholten 52 192 0 12 Jul 2020
A Comprehensive Review of Deep Learning Applications in Hydrology and Water Resources M. Sit B. Demiray Z. Xiang Gregory Ewing Y. Sermet Ibrahim Demir AI4Cl AI4CE 86 333 0 17 Jun 2020
Modelling of daily reference evapotranspiration using deep neural network in different climates Atilla Özgür S. Yamaç 61 4 0 02 Jun 2020
Deep Learning of Dynamic Subsurface Flow via Theory-guided Generative Adversarial Network Tianhao He Dongxiao Zhang AI4CE 71 10 0 02 Jun 2020
Physics-constrained indirect supervised learning Yuntian Chen Dongxiao Zhang SSL AI4CE 66 8 0 26 Apr 2020
Efficient Uncertainty Quantification for Dynamic Subsurface Flow with Surrogate by Theory-guided Neural Network Nanzhe Wang Haibin Chang Dongxiao Zhang 70 60 0 25 Apr 2020
Deep Learning Based Automatic Video Annotation Tool for Self-Driving Car N. S. Manikandan K. Ganesan 77 16 0 19 Apr 2019
Deep autoregressive neural networks for high-dimensional inverse problems in groundwater contaminant source identification S. Mo N. Zabaras Xiaoqing Shi Jichun Wu AI4CE 70 204 0 22 Dec 2018
Quantifying total uncertainty in physics-informed neural networks for solving forward and inverse stochastic problems Dongkun Zhang Lu Lu Ling Guo George Karniadakis UQCV 124 414 0 21 Sep 2018
LaneNet: Real-Time Lane Detection Networks for Autonomous Driving Ze Wang Weiqiang Ren Qiang Qiu 78 194 0 04 Jul 2018
Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous media S. Mo Yinhao Zhu N. Zabaras Xiaoqing Shi Jichun Wu AI4CE 91 282 0 02 Jul 2018
Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks S. Shashikumar Amit J. Shah Gari D. Clifford S. Nemati 54 78 0 07 May 2018
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification Yinhao Zhu N. Zabaras UQCV BDL 115 649 0 21 Jan 2018
A trans-disciplinary review of deep learning research for water resources scientists Chaopeng Shen AI4CE 230 702 0 06 Dec 2017
Deep Neural Networks for Physics Analysis on low-level whole-detector data at the LHC W. Bhimji S. Farrell Thorsten Kurth Michela Paganini P. Prabhat Evan Racah AI4CE 77 48 0 09 Nov 2017
Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling Arka Daw Anuj Karpatne William Watkins J. Read Vipin Kumar PINN 97 537 0 31 Oct 2017