Coupled Networks, Patterns and Complexity - Abstract
Ginelli, Francesco
Active matter is composed by locally interacting self propelled particles (SPP), which are able to extract and dissipate energy from their surroundings to produce systematic and coherent motion. Collections of interacting active particles describe the collective motion (or “flocking”) observed in systems as diverse as vertebrate groups (bird flocks, fish schools, mammal herds, etc.), insects swarms, colonies of bacteria, molecular motors, as well as driven granular matter. Among the striking out equilibrium properties displayed by SPP systems and models, here we concentrate on spontaneous segregation properties, which may lead to interesting dynamical pattern according to system symmetries and local connectivity. In particular, we show that the way connectivity is chosen (i.e. metric vs. metric free rules) in the dynamical interaction network drastically affects(suppress) spontaneous segregation and pattern formation.