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]
Institut de Mathématiques de Bordeaux [IMB]
Modeling Enablers for Multi-PHysics and InteractionS [MEMPHIS]
BERGMANN, Michel
Institut de Mathématiques de Bordeaux [IMB]
Modeling Enablers for Multi-PHysics and InteractionS [MEMPHIS]
< Reduce
Institut de Mathématiques de Bordeaux [IMB]
Modeling Enablers for Multi-PHysics and InteractionS [MEMPHIS]
Language
en
Article de revue
This item was published in
Frontiers in Physics. 2022-12-02, vol. 10
Frontiers
English Keywords
Data-driven modeling
Control
Machine learning
Computational fluid dynamics - CFD
Reduced order model (ROM)
Origin
Hal imported