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Surrogate Modeling for Active Drag Reduction in Turbulent Boundary Layer Flows Using Multitask Gaussian Process Regression
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In
Special Issue: 94th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM) / Issue Edited by: H. Altenbach, P. Benner, C. Böhm, C. Daniel, S. Glas, J. Heiland, D. Juhre, T. Richter, J. Saak, M. Schmidtchen, J. Waimann, E. Woschke, M. Kaliske
In
Proceedings in applied mathematics and mechanics : PAMM 24(4), Seiten/Artikel-Nr.:e202400186
2024
Online
DOI: 10.1002/pamm.202400186
DOI: 10.18154/RWTH-2025-00167
URL: https://publications.rwth-aachen.de/record/1000107/files/1000107.pdf
Einrichtungen
Projekte
- OAPKF - Open-Access-Publikation mit Unterstützung der RWTH Aachen University (021000-OAPKF) (021000-OAPKF)
- RAISE - Research on AI- and Simulation-Based Engineering at Exascale (951733) (951733)
Thematische Einordnung (Klassifikation)
DDC: 510
OpenAccess: 
PDF
Dokumenttyp
Journal Article/Contribution to a conference proceedings
Format
online
Sprache
English
Anmerkung
No peer reviewed article
Interne Identnummern
RWTH-2025-00167
Datensatz-ID: 1000107
Beteiligte Länder
Germany
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; DEAL Wiley ; Ebsco Academic Search
PDF