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Editorial: Data-driven modeling and optimization in fluid dynamics: From physics-based to machine learning approaches

BERGMANN, Michel
Institut de Mathématiques de Bordeaux [IMB]
Modeling Enablers for Multi-PHysics and InteractionS [MEMPHIS]
CORDIER, Laurent
CURIOSITY [Institut Pprime]
ILIESCU, Traian
Virginia Tech [Blacksburg]
Idioma
en
Article de revue
Este ítem está publicado en
Frontiers in Physics. 2022-12-02, vol. 10
Frontiers
Palabras clave en inglés
Data-driven modeling
Control
Machine learning
Computational fluid dynamics - CFD
Reduced order model (ROM)
URI
https://oskar-bordeaux.fr/handle/20.500.12278/190514
DOI
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Importado de Hal
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