Self-organization of active mixtures
Alberto Dinelli
Self-organization of active mixtures.
Rel. Alessandro Pelizzola, Julien Tailleur, Martin Lenz. Politecnico di Torino, Master of science program in Physics Of Complex Systems, 2021
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Abstract
Self-organization is ubiquitous in biological systems at all scales, from the animal world down to the intra-cellular environment. In all these systems, the dynamics of micro-constituents can lead to emergent large-scale behaviours, such as static patterns or collective motion. Active matter provides a solid framework to explain the physics behind these processes at many different scales. So far, the literature on the subject has mostly focused on single-component active systems; nonetheless, monodispersity imposes strong limitations on the complexity of the emergent macroscopic phases. In order to obtain less idealised self-assembling structures like the ones encountered in biology, heterogeneity must be included.
In this work we study the macroscopic phenomenology of N-component active mixtures of run-and-tumble particles (RTPs) interacting via quorum-sensing (QS), with both numerical and analytical tools
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