Toward ultra-efficient high-fidelity prediction of bed morphodynamics of large-scale meandering rivers using a novel LES-trained machine learning approach

Fuente: arXiv

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Bibliographic Details
Main Authors:	Zhang, Zexia, Anjiraki, Mehrshad Gholami, Seyedzadeh, Hossein, Sotiropoulos, Fotis, Khosronejad, Ali
Format:	Preprint
Published:	2024
Subjects:	Fluid Dynamics
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2407.18359