The immersed boundary method: A projection approach. - Kunihiko Taira; Tim Colonius (J. Comput. Phys., 2007)

A stable fluid-structure-interaction solver for low-density rigid bodies using the immersed boundary projection method. - Ugis Lacis; Kunihiko Taira; Shervin Bagheri (J. Comput. Phys., 2016)

Randomized methods to characterize large-scale vortical flow network. - Zhe Bai; N. Benjamin Erichson; Muralikrishnan Gopalakrishnan Meena; Kunihiko Taira; Steven L. Brunton (CoRR, 2019)

Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning. - Kai Fukami; Romit Maulik; Nesar Ramachandra; Koji Fukagata; Kunihiko Taira (Nat. Mach. Intell., 2021)

Image and video compression of fluid flow data. - Vishal Anatharaman; Jason Feldkamp; Kai Fukami; Kunihiko Taira (CoRR, 2023)

Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning. - Sebastian Peitz; Jan Stenner; Vikas Chidananda; Oliver Wallscheid; Steven L. Brunton; Kunihiko Taira (CoRR, 2023)

Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows. - Kai Fukami; Koji Fukagata; Kunihiko Taira (CoRR, 2023)

Grasping Extreme Aerodynamics on a Low-Dimensional Manifold. - Kai Fukami; Kunihiko Taira (CoRR, 2023)

Phase autoencoder for limit-cycle oscillators. - Koichiro Yawata; Kai Fukami; Kunihiko Taira; Hiroya Nakao (CoRR, 2024)

Single-snapshot machine learning for turbulence super resolution. - Kai Fukami; Kunihiko Taira (CoRR, 2024)