Closed-loop turbulence control is a critical enabler of aerodynamic drag reduction, lift
increase, mixing enhancement, and noise reduction. Current and future applications have …

Nonlinear differential equations rarely admit closed-form solutions, thus requiring numerical
time-stepping algorithms to approximate solutions. Further, many systems characterized by …

In this paper we develop reduced-order models for the unsteady lift on a pitching and
plunging aerofoil over a range of angles of attack. In particular, we analyse the pitching and …

Widefield calcium imaging has recently emerged as a powerful experimental technique to
record coordinated large-scale brain activity. These measurements present a unique …

Lagrangian techniques, such as the finite-time Lyapunov exponent (FTLE) and hyperbolic
Lagrangian coherent structures, have become popular tools for analyzing unsteady fluid …

Cross-flow, or vertical-axis, turbines are a promising technology for capturing kinetic energy
in wind or flowing water and their inherently unsteady fluid mechanics present unique …

A new problem at the intersection of multi-agent systems, chaotic time series prediction, and
flow map learning is formulated in this paper. The problem involves agents collaborating to …

Flow visualization is a research discipline that is concerned with the visual exploration and
analysis of vector fields. An important class of methods are the topology-based techniques …

This study presents a method for characterizing entrainment using Lagrangian data.
Specifically, the method exploits the temporal evolution of enstrophy along pathlines to …

The quantification of Lagrangian coherent structures (LCS) has been investigated using an
algorithm based on the tesselation of unstructured data points. The applicability of the …