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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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Detalles Bibliográficos
Autores principales:	Zhang, Zexia, Anjiraki, Mehrshad Gholami, Seyedzadeh, Hossein, Sotiropoulos, Fotis, Khosronejad, Ali
Formato:	Preprint
Publicado:	2024
Materias:	Fluid Dynamics
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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