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.