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PHYSICS-INFORMED NEURAL NETWORKS: A DEEP LEARNING FRAMEWORK FOR SOLVING FORWARD AND INVERSE PROBLEMS INVOLVING NONLINEAR PARTIAL DIFFERENTIAL EQUATIONS.
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