Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Balajewicz, Maciej
and
Dowell, Earl H.
2012.
Stabilization of projection-based reduced order models of the Navier–Stokes.
Nonlinear Dynamics,
Vol. 70,
Issue. 2,
p.
1619.
Schlegel, Michael
Noack, Bernd R.
Jordan, Peter
Dillmann, Andreas
Gröschel, Elmar
Schröder, Wolfgang
Wei, Mingjun
Freund, Jonathan B.
Lehmann, Oliver
and
Tadmor, Gilead
2012.
On least-order flow representations for aerodynamics and aeroacoustics.
Journal of Fluid Mechanics,
Vol. 697,
Issue. ,
p.
367.
Noack, Bernd R.
and
Niven, Robert K.
2013.
A hierarchy of maximum entropy closures for Galerkin systems of incompressible flows.
Computers & Mathematics with Applications,
Vol. 65,
Issue. 10,
p.
1558.
Kaiser, Eurika
Noack, Bernd R.
Cordier, Laurent
Spohn, Andreas
Segond, Marc
Abel, Markus
Daviller, Guillaume
Östh, Jan
Krajnović, Siniša
and
Niven, Robert K.
2014.
Cluster-based reduced-order modelling of a mixing layer.
Journal of Fluid Mechanics,
Vol. 754,
Issue. ,
p.
365.
Venturi, D.
and
Karniadakis, G. E.
2014.
Convolutionless Nakajima–Zwanzig equations for stochastic analysis in nonlinear dynamical systems.
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences,
Vol. 470,
Issue. 2166,
p.
20130754.
Niven, Robert K.
and
Noack, Bernd R.
2014.
Beyond the Second Law.
p.
129.
Brunton, Steven L.
and
Noack, Bernd R.
2015.
Closed-Loop Turbulence Control: Progress and Challenges.
Applied Mechanics Reviews,
Vol. 67,
Issue. 5,
Waldrip, S. H.
Niven, R. K.
Abel, M.
and
Schlegel, M.
2016.
Maximum Entropy Analysis of Hydraulic Pipe Flow Networks.
Journal of Hydraulic Engineering,
Vol. 142,
Issue. 9,
Lasagna, Davide
and
Tutty, Owen R.
2016.
Wall‐based reduced‐order modelling.
International Journal for Numerical Methods in Fluids,
Vol. 80,
Issue. 9,
p.
511.
Nguyen, N. H.
2016.
A rapid simulation of nano‐particle transport in a two‐dimensional human airway using POD/Galerkin reduced‐order models.
International Journal for Numerical Methods in Engineering,
Vol. 105,
Issue. 7,
p.
514.
Kaiser, Eurika
Noack, Bernd R.
Spohn, Andreas
Cattafesta, Louis N.
and
Morzyński, Marek
2017.
Cluster-based control of a separating flow over a smoothly contoured ramp.
Theoretical and Computational Fluid Dynamics,
Vol. 31,
Issue. 5-6,
p.
579.
Wang, Z.
Xiao, D.
Fang, F.
Govindan, R.
Pain, C. C.
and
Guo, Y.
2018.
Model identification of reduced order fluid dynamics systems using deep learning.
International Journal for Numerical Methods in Fluids,
Vol. 86,
Issue. 4,
p.
255.
Basak, Arnab
2018.
Study of a periodically forced magnetohydrodynamic system using Floquet analysis and nonlinear Galerkin modelling.
Nonlinear Dynamics,
Vol. 94,
Issue. 4,
p.
2763.
Kaiser, Eurika
Morzyński, Marek
Daviller, Guillaume
Kutz, J. Nathan
Brunton, Bingni W.
and
Brunton, Steven L.
2018.
Sparsity enabled cluster reduced-order models for control.
Journal of Computational Physics,
Vol. 352,
Issue. ,
p.
388.
Imtiaz, Haroon
and
Akhtar, Imran
2020.
POD-based Reduced-Order Modeling in Fluid Flows using System Identification Strategy.
p.
507.
Gyongyosi, Laszlo
2020.
Unsupervised Quantum Gate Control for Gate-Model Quantum Computers.
Scientific Reports,
Vol. 10,
Issue. 1,
Xu, Bolun
Gao, Haotian
Wei, Mingjun
and
Hrynuk, John
2022.
Global POD-Galerkin ROMs for Fluid Flows with Moving Solid Structures.
AIAA Journal,
Vol. 60,
Issue. 3,
p.
1400.