Computational models, such as simulations, are central to a wide range of fields in science
and industry. Those models take input parameters and produce some output. To fully exploit …

In recent years, the recurrence plot technique has been increasingly used in nonlinear
complex time series, to analyse the periodicity, chaos and non-stationarity. As far, some …

Lagrangian coherent structures (LCS) is an important concept for the visualization of
unsteady flows. They describe the boundaries of regions for which material transport stays …

Recent advances in geostationary imaging have enabled the derivation of high
spatiotemporal‐resolution cloud‐motion winds for the study of mesoscale unsteady flows …

Abstract The determination of Lagrangian Coherent Structures (LCS) is becoming very
important in several disciplines, including cardiovascular engineering, aerodynamics, and …

Computational platforms for high-performance scientific applications are becoming more
heterogenous, including hardware accelerators such as multiple GPUs. Applications in a …

The determination of Lagrangian Coherent Structures (LCS) is becoming very important in
several disciplines, including cardiovascular engineering, aerodynamics, and geophysical …

Based on the so-called mixing-based partition, we propose an efficient Eulerian algorithm to
identify the hyperbolic Lagrangian coherent structure (LCS) of any given two-dimensional …

We present an approach to local extraction of 3D time‐dependent vector field topology. In
this concept, Lagrangian coherent structures, which represent the separating manifolds in …

We present an approach to local extraction of 3D time-dependent vector field topology. In
this concept, Lagrangian coherent structures, which represent the separating manifolds in …