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AhmedML: High-Fidelity Computational Fluid Dynamics Dataset for Incompressible, Low-Speed Bluff Body Aerodynamics

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Ashton, Neil, Maddix, Danielle C., Gundry, Samuel, Shabestari, Parisa M.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Fluid Dynamics Computational Engineering, Finance, and Science Machine Learning
Accesso online:	Acceder al recurso
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