Machine-Learning Methods for Complex Flows

Ricardo Vinuesa; Soledad Le Clainche

doi:10.3390/en15041513

Energies (Feb 2022)

Machine-Learning Methods for Complex Flows

Ricardo Vinuesa,
Soledad Le Clainche

Affiliations

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

DOI: https://doi.org/10.3390/en15041513
Journal volume & issue: Vol. 15, no. 4
p. 1513

Abstract

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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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Published in Energies

ISSN: 1996-1073 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Technology
Website: http://www.mdpi.com/journal/energies

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