We experimentally investigate the two-dimensional flow characteristics caused by
hemisphere disturbance in the laminar boundary layer, with the aim of analyzing the …

The detection of compartments and dead zones as well as the estimation of the mixing
efficiency in stirred tanks are of vital interest for a variety of biochemical and chemical …

Realistic fluid flow problems often require that Lagrangian tracers are deployed in a sparse
or very-sparse manner, such as for oceanic and atmospheric flows where large-scale motion …

Many scientific and engineering processes produce spatially unstructured data. However,
most data-driven models require a feature matrix that enforces both a set number and order …

We introduce a network (graph) theoretic community-based framework to extract vortical
structures that serve the role of connectors for the vortical interactions in two-and three …

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 …

We present a simple, intuitive algorithm for visualizing time-varying flow fields that can
reveal complex flow structures with minimal user intervention. We apply this technique to a …

Lagrangian descriptors provide a global dynamical picture of the geometric structures for
arbitrarily time-dependent flows with broad applications. This paper develops a …

Numbers of sharing economy services are significantly increasing recently. Using
computational techniques to obtain customer's behavior on these services are very helpful to …

Adaptive meshes are pivotal in numerical modeling and simulation, offering a means to
efficiently, precisely, and flexibly represent intricate physical phenomena, particularly when …