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ORCIDKunihiko Taira
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2020 – today
- 2024
[i8]Koichiro Yawata, Kai Fukami, Kunihiko Taira, Hiroya Nakao:
Phase autoencoder for limit-cycle oscillators. CoRR abs/2403.06992 (2024)- [i7]Kai Fukami, Kunihiko Taira:
Single-snapshot machine learning for turbulence super resolution. CoRR abs/2409.04923 (2024) - 2023
- [i6]Vishal Anatharaman, Jason Feldkamp, Kai Fukami, Kunihiko Taira:
Image and video compression of fluid flow data. CoRR abs/2301.00078 (2023) - [i5]Sebastian Peitz, Jan Stenner, Vikas Chidananda, Oliver Wallscheid, Steven L. Brunton, Kunihiko Taira:
Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning. CoRR abs/2301.10737 (2023) - [i4]Kai Fukami, Koji Fukagata, Kunihiko Taira:
Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows. CoRR abs/2301.10937 (2023) - [i3]Kai Fukami, Kunihiko Taira:
Grasping Extreme Aerodynamics on a Low-Dimensional Manifold. CoRR abs/2305.08024 (2023) - 2021
- [j3]Kai Fukami
, Romit Maulik, Nesar Ramachandra, Koji Fukagata, Kunihiko Taira:
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning. Nat. Mach. Intell. 3(11): 945-951 (2021) - [i2]Kai Fukami, Romit Maulik, Nesar Ramachandra, Koji Fukagata, Kunihiko Taira:
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning. CoRR abs/2101.00554 (2021)
2010 – 2019
- 2019
- [i1]Zhe Bai, N. Benjamin Erichson, Muralikrishnan Gopalakrishnan Meena, Kunihiko Taira, Steven L. Brunton:
Randomized methods to characterize large-scale vortical flow network. CoRR abs/1909.00535 (2019) - 2016
- [j2]Ugis Lacis, Kunihiko Taira, Shervin Bagheri:
A stable fluid-structure-interaction solver for low-density rigid bodies using the immersed boundary projection method. J. Comput. Phys. 305: 300-318 (2016)
2000 – 2009
- 2007
- [j1]Kunihiko Taira, Tim Colonius:
The immersed boundary method: A projection approach. J. Comput. Phys. 225(2): 2118-2137 (2007)
Coauthor Index
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