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

Fuente: arXiv

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Bibliographic Details
Main Authors:	Xue, Tingkai, Ooi, Chin Chun, Ge, Zhengwei, Leong, Fong Yew, Li, Hongying, Kang, Chang Wei
Format:	Preprint
Published:	2025
Subjects:	Computational Physics Machine Learning Fluid Dynamics
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2511.21369