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  • 1 week ago · ai

    [Paper] Differentiable Physics-Neural Models enable Learning of Non-Markovian Closures for Accelerated Coarse-Grained Physics Simulations

    Numerical simulations provide key insights into many physical, real-world problems. However, while these simulations are solved on a full 3D domain, most analys...

    #differentiable physics #neural closure #surrogate modeling #non‑Markovian #simulation acceleration
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