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Physics-informed neural network solution of thermo-hydro-mechanical (THM) pro...
Physics-Informed Neural Networks (PINNs) have received increased interest for forward, inverse, and surrogate modeling of problems described by partial differential equations... -
Reduced order modeling for flow and transport problems with Barlow Twins self...
A dataset for reduced order modeling of natural convection in porous media using convolutional autoencoders and Barlow Twins self-supervised learning.