835 citations · 4k across the 32 of their papers we have counts for
5 papers · 1 filter
A cyclic perspective on transient gust encounters through the lens of persistent homology
Luke Smith, Kai Fukami, Girguis Sedky +2
Large amplitude gust encounters exhibit a range of separated flow phenomena, making them difficult to characterize using the traditional tools of aerodynamics. In this work, we pro…
Sparse sensor reconstruction of vortex-impinged airfoil wake with machine learning
Yonghong Zhong, Kai Fukami, Byungjin An +1
Reconstruction of unsteady vortical flow fields from limited sensor measurements is challenging. We develop machine learning methods to reconstruct flow features from sparse sensor…
Grasping Extreme Aerodynamics on a Low-Dimensional Manifold
Kai Fukami, Kunihiko Taira
Modern air vehicles perform a wide range of operations, including transportation, defense, surveillance, and rescue. These aircraft can fly in calm conditions but avoid operations…
Image and video compression of fluid flow data
Vishal Anatharaman, Jason Feldkamp, Kai Fukami +1
We study the compression of spatial and temporal features in fluid flow data using multimedia compression techniques. The efficacy of spatial compression techniques, including JPEG…
Super-Resolution Analysis via Machine Learning: A Survey for Fluid Flows
Kai Fukami, Koji Fukagata, Kunihiko Taira
This paper surveys machine-learning-based super-resolution reconstruction for vortical flows. Super resolution aims to find the high-resolution flow fields from low-resolution data…