Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous media

2 July 2018

Papers citing "Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous media"

25 / 25 papers shown

Title
Transfer Learning on Multi-Dimensional Data: A Novel Approach to Neural Network-Based Surrogate Modeling Adrienne M. Propp Daniel M. Tartakovsky AI4CE 35 2 0 16 Oct 2024
Physics-Aware Neural Implicit Solvers for multiscale, parametric PDEs with applications in heterogeneous media Matthaios Chatzopoulos P. Koutsourelakis AI4CE 41 3 0 29 May 2024
VI-DGP: A variational inference method with deep generative prior for solving high-dimensional inverse problems Yingzhi Xia Qifeng Liao Jinglai Li 27 2 0 22 Feb 2023
Bayesian deep learning framework for uncertainty quantification in high dimensions Jeahan Jung Minseok Choi BDL UQCV 26 1 0 21 Oct 2022
AI-enhanced iterative solvers for accelerating the solution of large scale parametrized systems Stefanos Nikolopoulos I. Kalogeris V. Papadopoulos G. Stavroulakis 26 11 0 06 Jul 2022
Use of Multifidelity Training Data and Transfer Learning for Efficient Construction of Subsurface Flow Surrogate Models Su Jiang L. Durlofsky AI4CE 22 29 0 23 Apr 2022
Deep learning based closed-loop optimization of geothermal reservoir production Nanzhe Wang Haibin Chang Xiangzhao Kong M. Saar Dongxiao Zhang 22 7 0 15 Apr 2022
Attention U-Net as a surrogate model for groundwater prediction M. L. Taccari J. Nuttall Xiaohui Chen He Wang B. Minnema P. Jimack AI4CE 37 16 0 09 Apr 2022
Physics-informed neural networks for solving parametric magnetostatic problems Andrés Beltrán-Pulido Ilias Bilionis D. Aliprantis 30 34 0 08 Feb 2022
PCNN: A physics-constrained neural network for multiphase flows Haoyang Zheng Ziyang Huang Guang Lin PINN 27 8 0 18 Sep 2021
U-FNO -- An enhanced Fourier neural operator-based deep-learning model for multiphase flow Gege Wen Zong-Yi Li Kamyar Azizzadenesheli Anima Anandkumar S. Benson AI4CE 36 369 0 03 Sep 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 23 72 0 30 Apr 2021
Transfer Learning on Multi-Fidelity Data Dong H. Song D. Tartakovsky AI4CE 31 26 0 29 Apr 2021
Applications of physics-informed scientific machine learning in subsurface science: A survey A. Sun H. Yoon C. Shih Zhi Zhong AI4CE 29 10 0 10 Apr 2021
CCSNet: a deep learning modeling suite for CO $_2$ storage Gege Wen C. Hay S. Benson 35 73 0 05 Apr 2021
Theory-guided Auto-Encoder for Surrogate Construction and Inverse Modeling Nanzhe Wang Haibin Chang Dongxiao Zhang AI4CE 39 49 0 17 Nov 2020
Recurrent convolutional neural network for the surrogate modeling of subsurface flow simulation Hyung Jun Yang Timothy Yeo J. An AI4CE 14 1 0 08 Oct 2020
Multi-fidelity Generative Deep Learning Turbulent Flows N. Geneva N. Zabaras AI4CE 21 44 0 08 Jun 2020
Deep Learning of Subsurface Flow via Theory-guided Neural Network Nanzhe Wang Dongxiao Zhang Haibin Chang Heng Li AI4CE 30 226 0 24 Oct 2019
Multiphase flow prediction with deep neural networks Gege Wen Meng Tang S. Benson 27 6 0 21 Oct 2019
A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems Meng Tang Yimin Liu L. Durlofsky AI4CE 32 257 0 16 Aug 2019
Integration of adversarial autoencoders with residual dense convolutional networks for estimation of non-Gaussian hydraulic conductivities S. Mo N. Zabaras Xiaoqing Shi Jichun Wu 19 43 0 26 Jun 2019
Tackling Climate Change with Machine Learning David Rolnick P. Donti L. Kaack K. Kochanski Alexandre Lacoste ... Demis Hassabis John C. Platt F. Creutzig J. Chayes Yoshua Bengio AI4Cl AI4CE 38 788 0 10 Jun 2019
Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data Yinhao Zhu N. Zabaras P. Koutsourelakis P. Perdikaris PINN AI4CE 46 854 0 18 Jan 2019
Deep autoregressive neural networks for high-dimensional inverse problems in groundwater contaminant source identification S. Mo N. Zabaras Xiaoqing Shi Jichun Wu AI4CE 20 197 0 22 Dec 2018