A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertainty-Reference-Cited by-同舟云学术

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A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertainty

Published:2024-07 Issue: Volume:508 Page:112982
ISSN:0021-9991
Container-title:Journal of Computational Physics
language:en
Short-container-title:Journal of Computational Physics

Author:

Agrawal Atul,Koutsourelakis Phaedon-Stelios^ORCID

Publisher

Elsevier BV

Reference96 articles.

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5. Emerging trends in machine learning for computational fluid dynamics;Vinuesa;Comput. Sci. Eng.,2022

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Turbulence closure modeling with machine learning: a foundational physics perspective;New Journal of Physics;2024-07-01

2. Scale-resolving simulations of turbulent flows with coherent structures: Toward cut-off dependent data-driven closure modeling;Physics of Fluids;2024-06-01

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