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 | 1593 | 2017 |
The immersed boundary method: a projection approach K Taira, T Colonius Journal of Computational Physics 225 (2), 2118-2137, 2007 | 697 | 2007 |
Super-resolution reconstruction of turbulent flows with machine learning K Fukami, K Fukagata, K Taira Journal of Fluid Mechanics 870, 106-120, 2019 | 593 | 2019 |
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 | 476 | 2020 |
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 | 406 | 2009 |
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 | 277 | 2008 |
Machine-learning-based spatio-temporal super resolution reconstruction of turbulent flows K Fukami, K Fukagata, K Taira Journal of Fluid Mechanics 909, A9, 2021 | 228 | 2021 |
Computational fluid dynamics: incompressible turbulent flows T Kajishima, K Taira Springer, 2016 | 218 | 2016 |
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 | 194 | 2020 |
Resolvent-analysis-based design of airfoil separation control CA Yeh, K Taira Journal of Fluid Mechanics 867, 572-610, 2019 | 130 | 2019 |
Network structure of two-dimensional decaying isotropic turbulence K Taira, AG Nair, SL Brunton Journal of Fluid Mechanics 795, R2, 2016 | 116 | 2016 |
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 | 113 | 2021 |
Two-dimensional compressible viscous flow around a circular cylinder D Canuto, K Taira Journal of fluid mechanics 785, 349-371, 2015 | 103 | 2015 |
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 | 98 | 2020 |
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 | 89 | 2015 |
On the mechanism of trailing vortex wandering AM Edstrand, TB Davis, PJ Schmid, K Taira, LN Cattafesta Journal of Fluid Mechanics 801, R1, 2016 | 85 | 2016 |
Network-theoretic approach to sparsified discrete vortex dynamics AG Nair, K Taira Journal of Fluid Mechanics 768, 549-571, 2015 | 78 | 2015 |
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 | 73 | 2020 |
Effect of tip vortices in low-Reynolds-number poststall flow control K Taira, T Colonius AIAA journal 47 (3), 749-756, 2009 | 71 | 2009 |
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 | 69 | 2019 |