Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

M.Raissia, P.Perdikarisb,∗, G.E.Karniadakisa

aDivision of Applied Mathematics, Brown University, Providence, RI, 02912, USA

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bDepartment of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, PA, 19104, USA

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