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

doi:doi:10.57702/cu8u2thl

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

Physics-Informed Neural Networks (PINNs) have received increased interest for forward, inverse, and surrogate modeling of problems described by partial differential equations (PDE).

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Danial Aminia, Ehsan Haghighat, Ruben Juanes (2024). Dataset: Physics-informed neural network solution of thermo-hydro-mechanical (THM) processes in porous media. https://doi.org/10.57702/cu8u2thl

DOI retrieved: December 16, 2024

Additional Info

Field	Value
Created	December 16, 2024
Last update	December 16, 2024
Defined In	https://doi.org/10.1061/(ASCE)EM.1943-7889.0002156
Author	Danial Aminia
More Authors	Ehsan Haghighat Ruben Juanes