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Smooth Piecewise Cutting for Neural Operator to Handle Discontinuities and Sharp Transitions
Neural operators have achieved strong performance in learning solution operators of partial differential equations (PDEs), but their inherently continuous representations struggle to capture discontinuities and sharp transitions. Existing approaches typically approximate such features within continu
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