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FLOATING-BODY-HYDRODYNAMIC-NEURAL-NETWORKS

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A physics-structured neural ODE framework for floating-body hydrodynamics. The model predicts interpretable parameters — directional added mass, drag coefficients, and divergence-free background flow via a streamfunction — coupled with analytic motion equations.

Creat2025-09-20T11:23:15
Update2025-09-20T12:17:50
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