Active noise-induced dynamic clustering of passive colloids

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Frechette, Layne B., Baskaran, Aparna, Hagan, Michael F.
Format: Preprint
Published: 2024
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866917926854983680
author Frechette, Layne B.
Baskaran, Aparna
Hagan, Michael F.
author_facet Frechette, Layne B.
Baskaran, Aparna
Hagan, Michael F.
contents Active fluids generate spontaneous, often chaotic mesoscale flows. Harnessing these flows to drive embedded soft materials into structures with controlled length scales and lifetimes is a key challenge at the interface between the fields of active matter and nonequilibrium self-assembly. Here, we present a simple and efficient computational approach to model soft materials advected by active fluids, by simulating particles moving in a spatiotemporally correlated noise field. To illustrate our approach, we simulate the dynamical self-organization of repulsive colloids within such an active noise field in two and three dimensions. The colloids form structures whose sizes and dynamics can be tuned by the correlation time and length of the active fluid, and range from small rotating droplets to clusters with internal flows and system-spanning sizes that vastly exceed the active correlation length. Our results elucidate how the interplay between active fluid time/length scales and emergent driven assembly can be used to rationally design functional assemblies. More broadly, our approach can be used to efficiently simulate diverse active fluids and other systems with spatiotemporally correlated noise.
format Preprint
id arxiv_https___arxiv_org_abs_2410_05555
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Active noise-induced dynamic clustering of passive colloids
Frechette, Layne B.
Baskaran, Aparna
Hagan, Michael F.
Soft Condensed Matter
Statistical Mechanics
Active fluids generate spontaneous, often chaotic mesoscale flows. Harnessing these flows to drive embedded soft materials into structures with controlled length scales and lifetimes is a key challenge at the interface between the fields of active matter and nonequilibrium self-assembly. Here, we present a simple and efficient computational approach to model soft materials advected by active fluids, by simulating particles moving in a spatiotemporally correlated noise field. To illustrate our approach, we simulate the dynamical self-organization of repulsive colloids within such an active noise field in two and three dimensions. The colloids form structures whose sizes and dynamics can be tuned by the correlation time and length of the active fluid, and range from small rotating droplets to clusters with internal flows and system-spanning sizes that vastly exceed the active correlation length. Our results elucidate how the interplay between active fluid time/length scales and emergent driven assembly can be used to rationally design functional assemblies. More broadly, our approach can be used to efficiently simulate diverse active fluids and other systems with spatiotemporally correlated noise.
title Active noise-induced dynamic clustering of passive colloids
topic Soft Condensed Matter
Statistical Mechanics
url https://arxiv.org/abs/2410.05555