Kinetically arrested clusters in active filament arrays

Fuente: arXiv
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Auteurs principaux: Karayat, Sonu, Purohit, Prashant K., Mahadevan, L., Gopinath, Arvind, Chelakkot, Raghunath
Format: Preprint
Publié: 2024
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author Karayat, Sonu
Purohit, Prashant K.
Mahadevan, L.
Gopinath, Arvind
Chelakkot, Raghunath
author_facet Karayat, Sonu
Purohit, Prashant K.
Mahadevan, L.
Gopinath, Arvind
Chelakkot, Raghunath
contents We use Brownian dynamics simulations and theory to study the over-damped spatiotemporal dynamics and pattern formation in a fluid-permeated array of equally spaced, active, elastic filaments that are pinned at one end and free at the other. The filaments are modeled as connected colloidal chains with activity incorporated via compressive follower forces acting along the filament backbone. The length of the chains is smaller than the thermal persistence length. For a range of filament separation and activity values, we find that the filament array eventually self-assembles into a series of regularly spaced, kinetically arrested, compact clusters. Filament activity, geometry, elasticity, and grafting density are each seen to crucially influence the size, shape, and spacing of emergent clusters. Furthermore, cluster shapes for different grafting densities can be rescaled into self-similar forms with activity-dependent scaling exponents. We derive theoretical expressions that relate the number of filaments in a cluster and the spacing between clusters, to filament activity, filament elasticity, and grafting density. Our results provide insight into the physical mechanisms involved in the initiation of clustering and suggest that steric contact forces and friction balance active forces and filament elasticity to stabilize the clusters. Our simulations suggest design principles to realize filament-based clusters and similar self-assembling biomimetic materials using active colloids or synthetic microtubule-motor systems.
format Preprint
id arxiv_https___arxiv_org_abs_2412_20536
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Kinetically arrested clusters in active filament arrays
Karayat, Sonu
Purohit, Prashant K.
Mahadevan, L.
Gopinath, Arvind
Chelakkot, Raghunath
Soft Condensed Matter
Biological Physics
We use Brownian dynamics simulations and theory to study the over-damped spatiotemporal dynamics and pattern formation in a fluid-permeated array of equally spaced, active, elastic filaments that are pinned at one end and free at the other. The filaments are modeled as connected colloidal chains with activity incorporated via compressive follower forces acting along the filament backbone. The length of the chains is smaller than the thermal persistence length. For a range of filament separation and activity values, we find that the filament array eventually self-assembles into a series of regularly spaced, kinetically arrested, compact clusters. Filament activity, geometry, elasticity, and grafting density are each seen to crucially influence the size, shape, and spacing of emergent clusters. Furthermore, cluster shapes for different grafting densities can be rescaled into self-similar forms with activity-dependent scaling exponents. We derive theoretical expressions that relate the number of filaments in a cluster and the spacing between clusters, to filament activity, filament elasticity, and grafting density. Our results provide insight into the physical mechanisms involved in the initiation of clustering and suggest that steric contact forces and friction balance active forces and filament elasticity to stabilize the clusters. Our simulations suggest design principles to realize filament-based clusters and similar self-assembling biomimetic materials using active colloids or synthetic microtubule-motor systems.
title Kinetically arrested clusters in active filament arrays
topic Soft Condensed Matter
Biological Physics
url https://arxiv.org/abs/2412.20536