The dispersion and mixing of passive particles in a turbulent channel flow are investigated
by means of a network-based representation of their motion. We employ direct numerical …

Partitioning ocean flows into regions dynamically distinct from their surroundings based on
material transport can assist search-and-rescue planning by reducing the search domain …

The clustering algorithm based on mutual K-nearest neighbors (MKNN) is presented to
identify coherent structures in complicated fluid flows, in order to analyze the mass mixing …

We present a method for identifying the coherent structures associated with individual
Lagrangian flow trajectories even where only sparse particle trajectory data are available …

Lagrangian coherent sets are known to crucially determine transport and mixing processes
in non-autonomous flows. Prominent examples include vortices and jets in geophysical fluid …

We explore the mechanisms of heat transfer in a turbulent constant heat flux-driven Rayleigh–
Bénard convection flow, which exhibits a hierarchy of flow structures from granules to …

The clustering of data into physically meaningful subsets often requires assumptions
regarding the number, size, or shape of the subgroups. Here, we present a new method …

Turbulent mixing is studied in the Lagrangian framework with an approach based on the
complex network formalism. We consider the motion of passive, noninertial particles inside a …

A field experiment study of flow transport around a coral reef was conducted at Scott Reef,
an offshore atoll in the Timor Sea. A drifter deployment was designed based on the insight …

Lagrangian Coherent Structures (LCS) are flow features which are defined to objectively
characterize complex fluid behavior over a finite time regardless of the orientation of the …