Bernd R. Noack
Bernd R. Noack
Professor at Harbin Institute of Technology, Shenzhen, China, and TU Berlin, Germany
Verified email at limsi.fr - Homepage
Title
Cited by
Cited by
Year
A hierarchy of low-dimensional models for the transient and post-transient cylinder wake
BR Noack, K Afanasiev, M Morzynski, G Tadmor, F Thiele
Journal of Fluid Mechanics 497, 335, 2003
8262003
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
4271995
Reduced-Order Modelling for Flow Control
B Noack, M Morzynski, G Tadmor
Springer, Berlin, 2011
346*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, 2011
3252011
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
3162011
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, 2005
3162005
Closed-loop turbulence control: Progress and challenges
SL Brunton, BR Noack
Applied Mechanics Reviews 67 (5), 2015
3082015
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, 2008
3052008
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
3052008
Machine learning for fluid mechanics
SL Brunton, BR Noack, P Koumoutsakos
Annual Review of Fluid Mechanics 52, 477-508, 2020
2802020
Reduced-Order Modelling for Flow Control
BR NOACK, M Morzynski, G Tadmor
Springer, 2011
2642011
A global stability analysis of the steady and periodic cylinder wake
BR Noack, H Eckelmann
Journal of Fluid Mechanics 270, 297-330, 1994
2291994
Machine Learning Control-Taming Nonlinear Dynamics and Turbulence
T Duriez, SL Brunton, BR Noack
Springer International Publishing, 2017
182*2017
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
arXiv preprint arXiv:1310.6285, 2013
1552013
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
1532014
Machine Learning Control - Taming Nonlinear Dynamics and Turbulence
T Duriez, SL Brunton, BR Noack
Springer-Verlag, 2016
1522016
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, 2013
1462013
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
1391994
Model-based control of vortex shedding using low-dimensional Galerkin models
J Gerhard, M Pastoor, R King, B Noack, A Dillmann, M Morzynski, ...
33rd AIAA fluid dynamics conference and exhibit, 4262, 2003
1272003
Closed-loop separation control using machine learning
N Gautier, T Duriez, JL Aider, B Noack, M Segond, M Abel
arXiv preprint arXiv:1405.0908, 2014
1192014
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