Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Zhang, Wei
and
Wei, Mingjun
2017.
Model order reduction using DMD modes and adjoint DMD modes.
Stankiewicz, Witold
Morzyński, Marek
Kotecki, Krzysztof
and
Noack, Bernd R.
2017.
On the need of mode interpolation for data-driven Galerkin models of a transient flow around a sphere.
Theoretical and Computational Fluid Dynamics,
Vol. 31,
Issue. 2,
p.
111.
Bistrian, Diana Alina
and
Navon, Ionel Michael
2017.
Randomized dynamic mode decomposition for nonintrusive reduced order modelling.
International Journal for Numerical Methods in Engineering,
Vol. 112,
Issue. 1,
p.
3.
Taira, Kunihiko
Brunton, Steven L.
Dawson, Scott T. M.
Rowley, Clarence W.
Colonius, Tim
McKeon, Beverley J.
Schmidt, Oliver T.
Gordeyev, Stanislav
Theofilis, Vassilios
and
Ukeiley, Lawrence S.
2017.
Modal Analysis of Fluid Flows: An Overview.
AIAA Journal,
Vol. 55,
Issue. 12,
p.
4013.
Kou, Jiaqing
Zhang, Weiwei
Liu, Yilang
and
Li, Xintao
2017.
The lowest Reynolds number of vortex-induced vibrations.
Physics of Fluids,
Vol. 29,
Issue. 4,
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.
Towne, Aaron
Schmidt, Oliver T.
and
Colonius, Tim
2018.
Spectral proper orthogonal decomposition and its relationship to dynamic mode decomposition and resolvent analysis.
Journal of Fluid Mechanics,
Vol. 847,
Issue. ,
p.
821.
Zhang, Meihua
and
Zheng, Zhongquan C.
2018.
Relations of POD modes and Lyapunov exponents to the nonlinear dynamic states in flow over oscillating tandem cylinders.
Physics of Fluids,
Vol. 30,
Issue. 12,
p.
123602.
Clainche, Soledad Le
Pérez, José M
and
Vega, José M
2018.
Spatio-temporal flow structures in the three-dimensional wake of a circular cylinder.
Fluid Dynamics Research,
Vol. 50,
Issue. 5,
p.
051406.
Loiseau, Jean-Christophe
and
Brunton, Steven L.
2018.
Constrained sparse Galerkin regression.
Journal of Fluid Mechanics,
Vol. 838,
Issue. ,
p.
42.
Shaqarin, T
Noack, B R
and
Morzyński, M
2018.
The need for prediction in feedback control of a mixing layer.
Fluid Dynamics Research,
Vol. 50,
Issue. 6,
p.
065514.
Xie, Xuping
Bao, Feng
and
Webster, Clayton
2018.
Evolve Filter Stabilization Reduced-Order Model for Stochastic Burgers Equation.
Fluids,
Vol. 3,
Issue. 4,
p.
84.
2018.
Data-Driven Sparse Sensor Placement for Reconstruction: Demonstrating the Benefits of Exploiting Known Patterns.
IEEE Control Systems,
Vol. 38,
Issue. 3,
p.
63.
Kou, Jiaqing
Le Clainche, Soledad
and
Zhang, Weiwei
2018.
A reduced-order model for compressible flows with buffeting condition using higher order dynamic mode decomposition with a mode selection criterion.
Physics of Fluids,
Vol. 30,
Issue. 1,
Bistrian, D. A.
and
Navon, I. M.
2018.
Efficiency of randomised dynamic mode decomposition for reduced order modelling.
International Journal of Computational Fluid Dynamics,
Vol. 32,
Issue. 2-3,
p.
88.
Liu, Ming
Tan, Lei
and
Cao, Shuliang
2019.
Dynamic mode decomposition of cavitating flow around ALE 15 hydrofoil.
Renewable Energy,
Vol. 139,
Issue. ,
p.
214.
Lu, Weiyu
Huang, Guoping
Wang, Jinchun
and
Hong, Shuli
2019.
Spatio–temporal dynamic mode decomposition in a shear layer flow.
Aerospace Science and Technology,
Vol. 91,
Issue. ,
p.
263.
Yu, Ming
Huang, Wei-Xi
and
Xu, Chun-Xiao
2019.
Data-driven construction of a reduced-order model for supersonic boundary layer transition.
Journal of Fluid Mechanics,
Vol. 874,
Issue. ,
p.
1096.
Xiao, D.
Fang, F.
Heaney, C.E.
Navon, I.M.
and
Pain, C.C.
2019.
A domain decomposition method for the non-intrusive reduced order modelling of fluid flow.
Computer Methods in Applied Mechanics and Engineering,
Vol. 354,
Issue. ,
p.
307.
Jayaraman, Balaji
Lu, Chen
Whitman, Joshua
and
Chowdhary, Girish
2019.
Sparse feature map-based Markov models for nonlinear fluid flows.
Computers & Fluids,
Vol. 191,
Issue. ,
p.
104252.