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LIMITATIONS OF PHYSICS INFORMED MACHINE LEARNING FOR NONLINEAR TWO-PHASE TRANSPORT IN POROUS MEDIA

Olga Fuks; Hamdi A. Tchelepi

Journal of Machine Learning for Modeling and Computing · 2020 · Inggris · OpenAlex Scopus

Deep learning techniques have recently been applied to a wide range of computational physics problems.In this paper, we focus on developing a physics-based approach that enables the neural network to learn the solution of a dynamic fluid-flow problem governed by a nonlinear partial differential…