Machine-Learning Methods for Complex Flows
Ricardo Vinuesa and
Soledad Le Clainche
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Ricardo Vinuesa: FLOW, Engineering Mechanics, KTH Royal Institute of Technology, 114 28 Stockholm, Sweden
Soledad Le Clainche: School of Aerospace Engineering, Universidad Politécnica de Madrid, 28040 Madrid, Spain
Energies, 2022, vol. 15, issue 4, 1-5
Abstract:
We are delighted to introduce this Special Issue focused on novel machine-learning (ML) methods aimed at predicting, modeling, and controlling a variety of complex fluid flow scenarios [...]
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JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:4:p:1513-:d:752376
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