Experimental Flow Separation
Experimental Flow Separation is a methodological contribution in fluid dynamics research that, as a specific experimental approach, enables the empirical identification and analysis of flow detachment from surfaces under controlled conditions, distinguishing itself from theoretical or computational models by relying on physical measurements and observable fluid behavior.
229
Publications
10K
Citations
611
Authors
245
Institutions
Publications per year
2017–2026
35
Parents
229
Dean R. Chapman, D. M. Kuehn, H. K. Larson · University of North Texas Digital Library (University of North Texas) · 1958 · 639 citations · Full text
Closed-loop separation control using machine learning
Journal of Fluid Mechanics · 2015 · 212 citations · Full text
Closed-loop separation control using machine learning
N. Gautier, Bernd R. Noack, Marc Segond et al. · CONICET Digital (CONICET) · 2015 · 203 citations · Full text
1–5 of 229
611
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR), Germany
4 publications · 175 citations
4
h-index
3
h-index
3
h-index
2
h-index
2
h-index
1–5 of 611
245

Langley Research Center
Hampton, United States
8 h-index
10 publications
264 citations
Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)
Cologne, Germany
7 h-index
14 publications
490 citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
25 publications
2.4K citations
Université de Poitiers
Poitiers, France
4 h-index
12 publications
1.4K citations

University of Minnesota
Minneapolis, United States
4 h-index
9 publications
418 citations
Institut Pprime
Poitiers, France
4 h-index
9 publications
1.2K citations

University of Toronto
Toronto, Canada
4 h-index
11 publications
615 citations
Michigan State University
East Lansing, United States
4 h-index
8 publications
349 citations
1–8 of 245
19 publications · 1.3K citations
17
h-index
10 publications · 521 citations
10
h-index
11 publications · 520 citations
10
h-index
8 publications · 406 citations
8
h-index
ETFS · 8 publications · 252 citations
8
h-index
1–5