activity
20152023
most citedSuper-resolution reconstruction of turbulent flows with machine learning

835 citations · 3.7k across the 59 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

physics.flu-dyn2021★ 2 cited

Network-based analysis of fluid flows: Progress and outlook

Kunihiko Taira, Aditya G. Nair

The network of interactions among fluid elements and coherent structures gives rise to the incredibly rich dynamics of vortical flows. These interactions can be described with the…

physics.flu-dyn2021

Laminar vortex dynamics around forward-swept wings

Kai Zhang, Kunihiko Taira

Forward-swept wings offer unique advantages in the aerodynamic performance of air vehicles. However, the low-Reynolds-number characteristics of such wings have not been explored in…

physics.flu-dyn2021★ 50 cited

Transition, intermittency and phase interference effects in airfoil secondary tones and acoustic feedback loop

Tulio R. Ricciardi, William R. Wolf, Kunihiko Taira

A large eddy simulation is performed to study secondary tones generated by a NACA0012 airfoil at angle of attack of with freestream Mach number of …

physics.flu-dyn2021★ 47 cited

Resolvent analysis on the origin of two-dimensional transonic buffet

Yoimi Kojima, Chi-An Yeh, Kunihiko Taira +1

Resolvent analysis is performed to identify the origin of two-dimensional transonic buffet over an airfoil. The base flow for the resolvent analysis is the time-averaged flow over…

physics.flu-dyn2021★ 23 cited

Linear modal instabilities around post-stall swept finite-aspect ratio wings at low Reynolds numbers

Anton Burtsev, Wei He, Shelby Hayostek +4

Linear modal instabilities of flow over finite-span untapered wings have been investigated numerically at Reynolds number 400, at a range of angles of attack and sweep on two wings…

physics.flu-dyn2021★ 255 cited

Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning

Kai Fukami, Romit Maulik, Nesar Ramachandra +2

Achieving accurate and robust global situational awareness of a complex time-evolving field from a limited number of sensors has been a longstanding challenge. This reconstruction…