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A curated dataset for data-driven turbulence modelling

The recent surge in machine learning augmented turbulence modelling is a promising approach for addressing the limitations of Reynolds-averaged Navier-Stokes (RANS) models. This work presents the development of the first open-source dataset, curated and structured for immediate use in machine learni...

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Detalles Bibliográficos
Autores principales:	McConkey, Ryley, Yee, Eugene, Lien, Fue-Sang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Data Descriptor
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8484471/ https://www.ncbi.nlm.nih.gov/pubmed/34593810 http://dx.doi.org/10.1038/s41597-021-01034-2

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