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Kunihiko Taira
Kunihiko Taira
University of California, Los Angeles
Bestätigte E-Mail-Adresse bei seas.ucla.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Modal analysis of fluid flows: An overview
K Taira, SL Brunton, STM Dawson, CW Rowley, T Colonius, BJ McKeon, ...
Aiaa Journal 55 (12), 4013-4041, 2017
17702017
The immersed boundary method: a projection approach
K Taira, T Colonius
Journal of Computational Physics 225 (2), 2118-2137, 2007
7272007
Super-resolution reconstruction of turbulent flows with machine learning
K Fukami, K Fukagata, K Taira
Journal of Fluid Mechanics 870, 106-120, 2019
6892019
Modal analysis of fluid flows: Applications and outlook
K Taira, MS Hemati, SL Brunton, Y Sun, K Duraisamy, S Bagheri, ...
AIAA journal 58 (3), 998-1022, 2020
5272020
Three-dimensional flows around low-aspect-ratio flat-plate wings at low Reynolds numbers
K Taira, TIM Colonius
Journal of Fluid Mechanics 623, 187-207, 2009
4202009
A fast immersed boundary method using a nullspace approach and multi-domain far-field boundary conditions
T Colonius, K Taira
Computer Methods in Applied Mechanics and Engineering 197 (25-28), 2131-2146, 2008
2902008
Machine-learning-based spatio-temporal super resolution reconstruction of turbulent flows
K Fukami, K Fukagata, K Taira
Journal of Fluid Mechanics 909, A9, 2021
2702021
Computational fluid dynamics: incompressible turbulent flows
T Kajishima, K Taira
Springer, 2016
2372016
Assessment of supervised machine learning methods for fluid flows
K Fukami, K Fukagata, K Taira
Theoretical and Computational Fluid Dynamics 34 (4), 497-519, 2020
2122020
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning
K Fukami, R Maulik, N Ramachandra, K Fukagata, K Taira
Nature Machine Intelligence 3 (11), 945-951, 2021
1422021
Resolvent-analysis-based design of airfoil separation control
CA Yeh, K Taira
Journal of Fluid Mechanics 867, 572-610, 2019
1412019
Network structure of two-dimensional decaying isotropic turbulence
K Taira, AG Nair, SL Brunton
Journal of Fluid Mechanics 795, R2, 2016
1262016
Probabilistic neural networks for fluid flow surrogate modeling and data recovery
R Maulik, K Fukami, N Ramachandra, K Fukagata, K Taira
Physical Review Fluids 5 (10), 104401, 2020
1132020
Two-dimensional compressible viscous flow around a circular cylinder
D Canuto, K Taira
Journal of fluid mechanics 785, 349-371, 2015
1132015
Nonlinear lift on a triangular airfoil in low-Reynolds-number compressible flow
PM Munday, K Taira, T Suwa, D Numata, K Asai
Journal of Aircraft 52 (3), 924-931, 2015
972015
On the mechanism of trailing vortex wandering
AM Edstrand, TB Davis, PJ Schmid, K Taira, LN Cattafesta III
Journal of Fluid Mechanics 801, R1, 2016
962016
Network-theoretic approach to sparsified discrete vortex dynamics
AG Nair, K Taira
Journal of Fluid Mechanics 768, 549-571, 2015
862015
Super-resolution analysis via machine learning: a survey for fluid flows
K Fukami, K Fukagata, K Taira
Theoretical and Computational Fluid Dynamics 37 (4), 421-444, 2023
832023
On the formation of three-dimensional separated flows over wings under tip effects
K Zhang, S Hayostek, M Amitay, W He, V Theofilis, K Taira
Journal of Fluid Mechanics 895, A9, 2020
812020
Cluster-based feedback control of turbulent post-stall separated flows
AG Nair, CA Yeh, E Kaiser, BR Noack, SL Brunton, K Taira
Journal of Fluid Mechanics 875, 345-375, 2019
802019
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