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Estimation of spatial and time scales of collective behaviors of active matter through learning hydrodynamic equations from particle dynamics

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We present a data-driven framework for learning hydrodynamic equations from particle-based simulations of active matter. Our method leverages coarse graining in both space and time to bridge microscopic particle dynamics with macroscopic continuum models. By e... ...