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pro vyhledávání: '"Quattromini, Michele"'
The spread of machine learning (ML) techniques in combination with the availability of high-quality experimental and numerical data boosted in recent years numerous applications in fluid mechanics. Among those, examples of closure models for turbulen
Externí odkaz:
http://arxiv.org/abs/2303.03806
Publikováno v:
IUTAM Symposium on Data-driven modeling and optimization in fluid mechanics
IUTAM Symposium on Data-driven modeling and optimization in fluid mechanics, Jun 2022, Aarhus, Denmark
IUTAM Symposium on Data-driven modeling and optimization in fluid mechanics, Jun 2022, Aarhus, Denmark
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::e1dc17797e38b323230026c553fb957f
https://hal.science/hal-03854595
https://hal.science/hal-03854595