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Physics Informed Deep Neural Net Inverse Modeling for Estimating Model Parameters in Permeable Porous Media Flows
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: We present a method that combines a physics-informed deep neural network and Stokes' second problem to estimate the porosity and the permeability of a porous medium. Particularly, we investigate the accuracy of physics-informed ...