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 2020Show all

14 papers · 1 filter

physics.flu-dyn2020★ 2 cited

Probabilistic neural network-based reduced-order surrogate for fluid flows

Kai Fukami, Romit Maulik, Nesar Ramachandra +2

In recent years, there have been a surge in applications of neural networks (NNs) in physical sciences. Although various algorithmic advances have been proposed, there are, thus fa…

physics.flu-dyn2020

Aerodynamic characterization of low-aspect-ratio swept wings at

Kai Zhang, Kunihiko Taira

We perform unsteady three-dimensional direct numerical simulations to study the aerodynamic characteristics of finite-aspect-ratio swept wings with a NACA 0015 cross-section at a c…

physics.flu-dyn2020★ 14 cited

Phase-locking of laminar wake to periodic vibrations of a circular cylinder

M. A. Khodkar, Joseph T. Klamo, Kunihiko Taira

Phase synchronization between the vortex shedding behind a two-dimensional circular cylinder and its vibrations is investigated using the phase-reduction analysis. Leveraging this…

physics.flu-dyn2020★ 2 cited

Resolvent analysis of an airfoil laminar separation bubble at Re = 500,000

Chi-An Yeh, Stuart I. Benton, Kunihiko Taira +1

We perform resolvent analysis to examine the perturbation dynamics over the laminar separation bubble (LSB) that forms near the leading edge of a NACA 0012 airfoil at a chord-based…

physics.flu-dyn2020★ 25 cited

Phase-synchronization properties of laminar cylinder wake for periodic external forcings

Mohammad Amin Khodkar, Kunihiko Taira

We investigate the synchronization properties of the two-dimensional periodic flow over a circular cylinder using the principles of phase-reduction theory. The influence of harmoni…

physics.flu-dyn2020★ 30 cited

Network broadcast analysis and control of turbulent flows

Chi-An Yeh, Muralikrishnan Gopalakrishnan Meena, Kunihiko Taira

We present a network-based modal analysis technique that identifies key dynamical paths along which perturbations amplify over a time-varying base flow. This analysis is built upon…