LAPSE:2023.15450
Published Article
LAPSE:2023.15450
Machine-Learning Methods for Complex Flows
March 2, 2023
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 [...]
Suggested Citation
Vinuesa R, Le Clainche S. Machine-Learning Methods for Complex Flows. (2023). LAPSE:2023.15450
Author Affiliations
Vinuesa R: FLOW, Engineering Mechanics, KTH Royal Institute of Technology, 114 28 Stockholm, Sweden [ORCID]
Le Clainche S: School of Aerospace Engineering, Universidad Politécnica de Madrid, 28040 Madrid, Spain [ORCID]
Journal Name
Energies
Volume
15
Issue
4
First Page
1513
Year
2022
Publication Date
2022-02-18
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15041513, Publication Type: Editorial
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LAPSE:2023.15450
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https://doi.org/10.3390/en15041513
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Mar 2, 2023
 
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