Physics-informed Neural Networks for Solving Nonlinear Diffusivity and Biot's equations

19 February 2020

Papers citing "Physics-informed Neural Networks for Solving Nonlinear Diffusivity and Biot's equations"

21 / 21 papers shown

Title
Efficient machine-learning surrogates for large-scale geological carbon and energy storage T. Kadeethum Stephen J Verzi Hongkyu Yoon AI4CE 22 2 0 11 Oct 2023
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 21 2 0 03 Jul 2023
Temporal Consistency Loss for Physics-Informed Neural Networks Sukirt Thakur M. Raissi H. Mitra A. Ardekani PINN 33 10 0 30 Jan 2023
Inverse modeling of nonisothermal multiphase poromechanics using physics-informed neural networks Daniel Amini E. Haghighat R. Juanes PINN AI4CE 25 32 0 07 Sep 2022
Physics-informed neural network solution of thermo-hydro-mechanical (THM) processes in porous media Daniel Amini E. Haghighat R. Juanes PINN AI4CE 29 23 0 03 Mar 2022
State-of-the-Art Review of Design of Experiments for Physics-Informed Deep Learning Sourav Das S. Tesfamariam PINN AI4CE 19 19 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 27 17 0 11 Feb 2022
A coarse space acceleration of deep-DDM Valentin Mercier Serge Gratton Pierre Boudier AI4CE 33 10 0 07 Dec 2021
Physics-informed neural network simulation of multiphase poroelasticity using stress-split sequential training E. Haghighat Daniel Amini R. Juanes PINN AI4CE 23 95 0 06 Oct 2021
Deep Networks Provably Classify Data on Curves Tingran Wang Sam Buchanan D. Gilboa John N. Wright 23 9 0 29 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 18 61 0 23 Jul 2021
Interval and fuzzy physics-informed neural networks for uncertain fields J. Fuhg Ioannis Kalogeris A. Fau N. Bouklas AI4CE 41 18 0 18 Jun 2021
A framework for data-driven solution and parameter estimation of PDEs using conditional generative adversarial networks T. Kadeethum Daniel O’Malley J. Fuhg Youngsoo Choi Jonghyun Lee Hari S. Viswanathan N. Bouklas AI4CE 25 87 0 27 May 2021
Physics-informed attention-based neural network for solving non-linear partial differential equations R. Torrado Pablo Ruiz L. Cueto‐Felgueroso M. Green Tyler Friesen S. Matringe Julian Togelius PINN 13 12 0 17 May 2021
The mixed deep energy method for resolving concentration features in finite strain hyperelasticity J. Fuhg N. Bouklas PINN AI4CE 28 90 0 15 Apr 2021
Non-intrusive reduced order modeling of poroelasticity of heterogeneous media based on a discontinuous Galerkin approximation T. Kadeethum F. Ballarin N. Bouklas AI4CE 53 26 0 28 Jan 2021
Meshless physics-informed deep learning method for three-dimensional solid mechanics Diab W. Abueidda Q. Lu S. Koric AI4CE 31 113 0 02 Dec 2020
Physics-informed neural networks for myocardial perfusion MRI quantification R. L. M. V. Herten A. Chiribiri M. Breeuwer M. Veta C. Scannell 20 43 0 25 Nov 2020
Energy-based error bound of physics-informed neural network solutions in elasticity Mengwu Guo E. Haghighat PINN 51 28 0 18 Oct 2020
Physics-informed Neural Networks for Solving Inverse Problems of Nonlinear Biot's Equations: Batch Training T. Kadeethum T. Jørgensen H. Nick PINN AI4CE 17 19 0 18 May 2020
Active Training of Physics-Informed Neural Networks to Aggregate and Interpolate Parametric Solutions to the Navier-Stokes Equations Christopher J. Arthurs A. King PINN 43 51 0 02 May 2020