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An adaptive weighted extrapolation neural network for dispersive shock waves generated by square-root initial condition of the KdV equation
Simulating dispersive shock waves (DSWs) using physics-informed neural networks (PINNs) presents significant numerical difficulties. In particular, the square-root initial condition exhibits singularity near the origin, making it difficult to fit accurately. This initial fitting error is amplified t
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