133 citations · 195 across the 5 of their papers we have counts for
5 papers
Enriched Galerkin Discretization for Modeling Poroelasticity and Permeability Alteration in Heterogeneous Porous Media
T. Kadeethum, H. M. Nick, S. Lee +1
Accurate simulation of the coupled fluid flow and solid deformation in porous media is challenging, especially when the media permeability and storativity are heterogeneous. We app…
A Locally Conservative Mixed Finite Element Framework for Coupled Hydro-Mechanical-Chemical Processes in Heterogeneous Porous Media
T. Kadeethum, S. Lee, F. Ballarin +2
This paper presents a mixed finite element framework for coupled hydro-mechanical-chemical processes in heterogeneous porous media. The framework combines two types of locally cons…
Choice of Interior Penalty Coefficient for Interior Penalty Discontinuous Galerkin Method for Biot's System by Employing Machine Learning
Sanghyun Lee, Teeratorn Kadeethum, Hamidreza M. Nick
In this paper, the optimal choice of the interior penalty parameter of the discontinuous Galerkin finite element methods for both the elliptic problems and the Biot's systems are s…
Physics-informed Neural Networks for Solving Inverse Problems of Nonlinear Biot's Equations: Batch Training
Teeratorn Kadeethum, Thomas M Jørgensen, Hamidreza M Nick
In biomedical engineering, earthquake prediction, and underground energy harvesting, it is crucial to indirectly estimate the physical properties of porous media since the direct m…
Physics-informed Neural Networks for Solving Nonlinear Diffusivity and Biot's equations
Teeratorn Kadeethum, Thomas M Jorgensen, Hamidreza M Nick
This paper presents the potential of applying physics-informed neural networks for solving nonlinear multiphysics problems, which are essential to many fields such as biomedical en…