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Bernd R. Noack
Bernd R. Noack
National Talent Professor at Harbin Institute of Technology; Professor at TU Berlin
Bestätigte E-Mail-Adresse bei hit.edu.cn - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Machine learning for fluid mechanics
SL Brunton, BR Noack, P Koumoutsakos
Annual review of fluid mechanics 52, 477-508, 2020
13912020
A hierarchy of low-dimensional models for the transient and post-transient cylinder wake
BR Noack, K Afanasiev, M MORZYŃSKI, G Tadmor, F Thiele
Journal of Fluid Mechanics 497, 335-363, 2003
9772003
Arrangement for controlling fluid jets injected into a fluid stream
FP Bertolotti, DS Liscinsky, VC Nardone, MK Sahm, BR Noack, ...
US Patent 7,976,213, 2011
6482011
On the transition of the cylinder wake
HQ Zhang, U Fey, BR Noack, M König, H Eckelmann
Physics of Fluids 7 (4), 779-794, 1995
4931995
Closed-loop turbulence control: Progress and challenges
SL Brunton, BR Noack
Applied Mechanics Reviews 67 (5), 2015
4712015
Reduced-Order Modelling for Flow Control
B Noack, M Morzynski, G Tadmor
Springer, Berlin, 2011
435*2011
Three-dimensional coherent structures in a swirling jet undergoing vortex breakdown: stability analysis and empirical mode construction
K Oberleithner, M Sieber, CN Nayeri, CO Paschereit, C Petz, HC Hege, ...
Journal of fluid mechanics 679, 383-414, 2011
4042011
The need for a pressure-term representation in empirical Galerkin models of incompressible shear flows
BR Noack, P Papas, PA Monkewitz
Journal of Fluid Mechanics 523, 339-365, 2005
3752005
Feedback shear layer control for bluff body drag reduction
M Pastoor, L Henning, BR Noack, R King, G Tadmor
Journal of fluid mechanics 608, 161-196, 2008
3522008
Feedback shear layer control for bluff body drag reduction
M Pastoor, L Henning, BR Noack, R King, G Tadmor
Journal of fluid mechanics 608, 161-196, 2008
3522008
Reduced-Order Modelling for Flow Control
BR NOACK, M Morzynski, G Tadmor
Springer, 2011
3482011
Machine Learning Control-Taming Nonlinear Dynamics and Turbulence
T Duriez, SL Brunton, BR Noack
Springer International Publishing, 2017
329*2017
Machine Learning Control - Taming Nonlinear Dynamics and Turbulence
T Duriez, SL Brunton, BR Noack
Springer-Verlag, 2016
2902016
A global stability analysis of the steady and periodic cylinder wake
BR Noack, H Eckelmann
Journal of Fluid Mechanics 270, 297-330, 1994
2731994
Cluster-based reduced-order modelling of a mixing layer
E Kaiser, BR Noack, L Cordier, A Spohn, M Segond, M Abel, G Daviller, ...
Journal of Fluid Mechanics 754, 365-414, 2014
2322014
On the need for a nonlinear subscale turbulence term in POD models as exemplified for a high-Reynolds-number flow over an Ahmed body
J Östh, BR Noack, S Krajnović, D Barros, J Borée
Journal of Fluid Mechanics 747, 518-544, 2014
2102014
Low-dimensional modelling of high-Reynolds-number shear flows incorporating constraints from the Navier–Stokes equation
MJ Balajewicz, EH Dowell, BR Noack
Journal of Fluid Mechanics 729, 285-308, 2013
1862013
Closed-loop separation control using machine learning
N Gautier, JL Aider, T Duriez, BR Noack, M Segond, M Abel
Journal of Fluid Mechanics 770, 442-457, 2015
1822015
Recursive dynamic mode decomposition of transient and post-transient wake flows
BR Noack, W Stankiewicz, M Morzyński, PJ Schmid
Journal of Fluid Mechanics 809, 843-872, 2016
1762016
A low‐dimensional Galerkin method for the three‐dimensional flow around a circular cylinder
BR Noack, H Eckelmann
Physics of Fluids 6 (1), 124-143, 1994
1571994
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