A deep-learning approach for reconstructing 3D turbulent flows from 2D observation data

Turbulence is a complex phenomenon that has a chaotic nature with multiple spatio-temporal scales, making predictions of turbulent flows a challenging topic. Nowadays, an abundance of high-fidelity databases can be generated by experimental measurements and numerical simulations, but obtaining such...

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Detalles Bibliográficos
Autores principales: Yousif, Mustafa Z., Yu, Linqi, Hoyas, Sergio, Vinuesa, Ricardo, Lim, HeeChang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9925827/
https://www.ncbi.nlm.nih.gov/pubmed/36781944
http://dx.doi.org/10.1038/s41598-023-29525-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9925827/
https://www.ncbi.nlm.nih.gov/pubmed/36781944
http://dx.doi.org/10.1038/s41598-023-29525-9

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