A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks

27 May 2021

Papers citing "A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks"

25 / 25 papers shown

Title
Deep operator network for surrogate modeling of poroelasticity with random permeability fields Sangjoon Park Yeonjong Shin Jinhyun Choo AI4CE 0 0 0 15 Sep 2025
System stabilization with policy optimization on unstable latent manifolds Steffen W. R. Werner Benjamin Peherstorfer 83 2 0 08 Jul 2024
Efficient machine-learning surrogates for large-scale geological carbon and energy storage T. Kadeethum Stephen J Verzi Hongkyu Yoon AI4CE 78 2 0 11 Oct 2023
Progressive reduced order modeling: empowering data-driven modeling with selective knowledge transfer T. Kadeethum Daniel O’Malley Youngsoo Choi Hari S. Viswanathan Hongkyu Yoon AI4CE 91 1 0 04 Oct 2023
Subsurface Characterization using Ensemble-based Approaches with Deep Generative Models Jichao Bao H. Yoon Jonghyun Lee 79 0 0 02 Oct 2023
Data-Driven Modeling of an Unsaturated Bentonite Buffer Model Test Under High Temperatures Using an Enhanced Axisymmetric Reproducing Kernel Particle Method Jonghyuk Baek Yanran Wang Xiaolong He Yu Lu J. McCartney J. S. Chen 82 2 0 24 Sep 2023
Generative Adversarial Reduced Order Modelling Dario Coscia N. Demo G. Rozza GAN AI4CE 195 8 0 25 May 2023
Deep Operator Learning Lessens the Curse of Dimensionality for PDEs Ke Chen Chunmei Wang Haizhao Yang AI4CE 110 15 0 28 Jan 2023
Gaussian process regression and conditional Karhunen-Loéve models for data assimilation in inverse problems Y. Yeung D. Barajas-Solano A. Tartakovsky 75 1 0 26 Jan 2023
A generalized machine learning framework for brittle crack problems using transfer learning and graph neural networks Roberto Perera V. Agrawal AI4CE 51 12 0 22 Nov 2022
Conditional Generative Models for Simulation of EMG During Naturalistic Movements Shihan Ma A. Clarke Kostiantyn Maksymenko Samuel Deslauriers-Gauthier X. Sheng Xiangyang Zhu D. Farina 132 7 0 03 Nov 2022
Partial Differential Equations Meet Deep Neural Networks: A Survey Shudong Huang Wentao Feng Chenwei Tang Jiancheng Lv AI4CE AIMat 114 25 0 27 Oct 2022
Predictive Scale-Bridging Simulations through Active Learning S. Karra Mohamed Mehana Nicholas Lubbers Yu Chen A. Diaw ... Christoph Junghans Q. Kang Daniel Livescu T. Germann Hari S. Viswanathan AI4CE 74 3 0 20 Sep 2022
Thermodynamically Consistent Machine-Learned Internal State Variable Approach for Data-Driven Modeling of Path-Dependent Materials Xiaolong He Jiun-Shyan Chen AI4CE 124 52 0 01 May 2022
gLaSDI: Parametric Physics-informed Greedy Latent Space Dynamics Identification Xiaolong He Youngsoo Choi William D. Fries Jonathan Belof Jiun-Shyan Chen AI4CE 74 44 0 26 Apr 2022
The efficacy and generalizability of conditional GANs for posterior inference in physics-based inverse problems Deep Ray Harisankar Ramaswamy Dhruv V. Patel Assad A. Oberai CML AI4CE 103 21 0 15 Feb 2022
An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for Extended Domains applied to Multiphase Flow in Pipes Claire E. Heaney Zef Wolffs Jón Atli Tómasson L. Kahouadji P. Salinas A. Nicolle Omar K. Matar Ionel M. Navon N. Srinil Christopher C. Pain AI4CE 119 25 0 13 Feb 2022
Reduced order modeling for flow and transport problems with Barlow Twins self-supervised learning T. Kadeethum F. Ballarin Daniel O’Malley Youngsoo Choi N. Bouklas H. Yoon AI4CE 96 19 0 11 Feb 2022
Machine Learning in Heterogeneous Porous Materials Martha DÉli H. Deng Cedric G. Fraces K. Garikipati L. Graham‐Brady ... H. Tchelepi B. Važić Hari S. Viswanathan H. Yoon P. Zarzycki AI4CE 100 10 0 04 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 116 17 0 14 Nov 2021
Physics-Informed Machine Learning Method for Large-Scale Data Assimilation Problems Y. Yeung D. Barajas-Solano A. Tartakovsky AI4CE 112 20 0 30 Jul 2021
Non-intrusive reduced order modeling of natural convection in porous media using convolutional autoencoders: comparison with linear subspace techniques T. Kadeethum F. Ballarin Y. Cho Daniel O’Malley H. Yoon N. Bouklas AI4CE 98 64 0 23 Jul 2021
Interval and fuzzy physics-informed neural networks for uncertain fields J. Fuhg Ioannis Kalogeris A. Fau N. Bouklas AI4CE 114 21 0 18 Jun 2021
Generative Network-Based Reduced-Order Model for Prediction, Data Assimilation and Uncertainty Quantification Vinicius L. S. Silva Claire E. Heaney N. Nenov Christopher C. Pain AI4CE 82 3 0 28 May 2021
Data Assimilation Predictive GAN (DA-PredGAN): applied to determine the spread of COVID-19 Vinicius L. S. Silva Claire E. Heaney Yaqi Li Christopher C. Pain AI4CE 89 23 0 17 May 2021