Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Brunton, Steven L.
and
Noack, Bernd R.
2015.
Closed-Loop Turbulence Control: Progress and Challenges.
Applied Mechanics Reviews,
Vol. 67,
Issue. 5,
Taira, Kunihiko
Nair, Aditya G.
and
Brunton, Steven L.
2016.
Network structure of two-dimensional decaying isotropic turbulence.
Journal of Fluid Mechanics,
Vol. 795,
Issue. ,
Suresh Babu, Arun Vishnu
Ramesh, Kiran Kumar
and
Gopalarathnam, Ashok
2016.
Model Reduction in Discrete Vortex Methods for 2D Unsteady Aerodynamic Flows.
Manohar, Krithika
Brunton, Steven L.
and
Kutz, J. Nathan
2017.
Environment identification in flight using sparse approximation of wing strain.
Journal of Fluids and Structures,
Vol. 70,
Issue. ,
p.
162.
Bai, Zhe
Brunton, Steven L.
Brunton, Bingni W.
Kutz, J. Nathan
Kaiser, Eurika
Spohn, Andreas
and
Noack, Bernd R.
2017.
Whither Turbulence and Big Data in the 21st Century?.
p.
323.
Singh, Jasmeet
Belur Vishwanath, Rahul
Chaudhuri, Swetaprovo
and
Sujith, R. I.
2017.
Network structure of turbulent premixed flames.
Chaos: An Interdisciplinary Journal of Nonlinear Science,
Vol. 27,
Issue. 4,
Loiseau, Jean-Christophe
and
Brunton, Steven L.
2018.
Constrained sparse Galerkin regression.
Journal of Fluid Mechanics,
Vol. 838,
Issue. ,
p.
42.
Nair, Aditya G.
Brunton, Steven L.
and
Taira, Kunihiko
2018.
Networked-oscillator-based modeling and control of unsteady wake flows.
Physical Review E,
Vol. 97,
Issue. 6,
Gopalakrishnan Meena, Muralikrishnan
Nair, Aditya G.
and
Taira, Kunihiko
2018.
Network community-based model reduction for vortical flows.
Physical Review E,
Vol. 97,
Issue. 6,
Schneide, Christiane
Pandey, Ambrish
Padberg-Gehle, Kathrin
and
Schumacher, Jörg
2018.
Probing turbulent superstructures in Rayleigh-Bénard convection by Lagrangian trajectory clusters.
Physical Review Fluids,
Vol. 3,
Issue. 11,
Loiseau, Jean-Christophe
Noack, Bernd R.
and
Brunton, Steven L.
2018.
Sparse reduced-order modelling: sensor-based dynamics to full-state estimation.
Journal of Fluid Mechanics,
Vol. 844,
Issue. ,
p.
459.
2018.
Data-Driven Sparse Sensor Placement for Reconstruction: Demonstrating the Benefits of Exploiting Known Patterns.
IEEE Control Systems,
Vol. 38,
Issue. 3,
p.
63.
Krueger, Paul S.
Hahsler, Michael
Olinick, Eli V.
Williams, Sheila H.
and
Zharfa, Mohammadreza
2019.
Quantitative classification of vortical flows based on topological features using graph matching.
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences,
Vol. 475,
Issue. 2228,
p.
20180897.
SureshBabu, ArunVishnu
Ramesh, Kiran
and
Gopalarathnam, Ashok
2019.
Model Reduction in Discrete-Vortex Methods for Unsteady Airfoil Flows.
AIAA Journal,
Vol. 57,
Issue. 4,
p.
1409.
Manohar, Krithika
Kaiser, Eurika
Brunton, Steven L.
and
Kutz, J. Nathan
2019.
Optimized Sampling for Multiscale Dynamics.
Multiscale Modeling & Simulation,
Vol. 17,
Issue. 1,
p.
117.
Banerjee, R.
Sagiyama, K.
Teichert, G.H.
and
Garikipati, K.
2019.
A graph theoretic framework for representation, exploration and analysis on computed states of physical systems.
Computer Methods in Applied Mechanics and Engineering,
Vol. 351,
Issue. ,
p.
501.
Bai, Zhe
Erichson, N. Benjamin
Gopalakrishnan Meena, Muralikrishnan
Taira, Kunihiko
Brunton, Steven L.
and
Tian, Fang-Bao
2019.
Randomized methods to characterize large-scale vortical flow networks.
PLOS ONE,
Vol. 14,
Issue. 11,
p.
e0225265.
Woerner, Peter
Nair, Aditya G.
Taira, Kunihiko
Oates, William S.
and
Papaleo, Elena
2019.
Sparsification of long range force networks for molecular dynamics simulations.
PLOS ONE,
Vol. 14,
Issue. 4,
p.
e0213262.
Brunton, Steven L.
Noack, Bernd R.
and
Koumoutsakos, Petros
2020.
Machine Learning for Fluid Mechanics.
Annual Review of Fluid Mechanics,
Vol. 52,
Issue. 1,
p.
477.
Wu, Huixuan
and
Tao, Xingtian
2020.
The evolution of turbulent wake examined using the horizontal visibility graph.