Automatic Differentiation is Essential in Training Neural Networks for Solving Differential Equations
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Neural network-based approaches have recently shown significant promise in solving partial differential equations (PDEs) in science and engineering, especially in scenarios featuring complex domains or incorporation of empirical data. One advantage of the neur... ...
