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Physics-Informed Neural Networks for Steady-State Weir Flows Using the Serre–Green–Naghdi Equations
Publisher: American Society of Civil Engineers
Abstract: This paper presents physics-informed neural networks (PINNs) to approximate the Serre–Green–Naghdi equations (SGNEs) that model steady-state weir flows. Four PINNs are proposed to solve the forward problem and three types ...
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