Physics-informed neural network solution of thermo-hydro-mechanical (THM) processes in porous media

3 March 2022

Papers citing "Physics-informed neural network solution of thermo-hydro-mechanical (THM) processes in porous media"

6 / 6 papers shown

Title
Learning Generic Solutions for Multiphase Transport in Porous Media via the Flux Functions Operator W. Diab Omar Chaabi Shayma Alkobaisi A. Awotunde M. A. Kobaisi AI4CE 8 2 0 03 Jul 2023
Mixed formulation of physics-informed neural networks for thermo-mechanically coupled systems and heterogeneous domains Ali Harandi Ahmad Moeineddin Michael Kaliske Stefanie Reese Shahed Rezaei AI4CE PINN 13 42 0 09 Feb 2023
Inverse modeling of nonisothermal multiphase poromechanics using physics-informed neural networks Daniel Amini E. Haghighat R. Juanes PINN AI4CE 11 32 0 07 Sep 2022
A mixed formulation for physics-informed neural networks as a potential solver for engineering problems in heterogeneous domains: comparison with finite element method Shahed Rezaei Ali Harandi Ahmad Moeineddin Bai-Xiang Xu Stefanie Reese 11 112 0 27 Jun 2022
Efficient training of physics-informed neural networks via importance sampling M. A. Nabian R. J. Gladstone Hadi Meidani DiffM PINN 69 218 0 26 Apr 2021
On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks Sifan Wang Hanwen Wang P. Perdikaris 129 435 0 18 Dec 2020