Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
Maziar RaissiDivision of Applied Mathematics, Brown University, Providence, RI, 02912, USAParis PerdikarisDepartment of Mechanical Engineering and Applied Mechanics, University of Pennsylvania, Philadelphia, PA, 19104, USAGeorge Em KarniadakisDivision of Applied Mathematics, Brown University, Providence, RI, 02912, USA
2018en
ABI
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Cited by 40 references