FLOATING-BODY-HYDRODYNAMIC-NEURAL-NETWORKS
PublicA 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.
Creat：2025-09-20T11:23:15
Update：2025-09-20T12:17:50
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