Physics-informed neural networks (PINNs) have developed from residual constrained neural approximations into a heterogeneous family of scientific computing formulations, combining governing equations, observations, numerical operators, and optimization. This review examines how formulation, training, and evaluation int...
A. A. Alhaj Hasan, A. P. Koroleva· Computation· 0 citations
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