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Structure-Preserving Physics-Informed Neural Network for the Korteweg--de Vries (KdV) Equation
Physics-Informed Neural Networks (PINNs) offer a flexible framework for solving nonlinear partial differential equations (PDEs), yet conventional implementations often fail to preserve key physical invariants during long-term integration. This paper introduces a \emph{structure-preserving PINN} fram
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