Re-entrant percolation in active Brownian hard disks

Fuente: arXiv
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Auteurs principaux: Evans, David, Martín-Roca, José, Harmer, Nathan J., Valeriani, Chantal, Miller, Mark A.
Format: Preprint
Publié: 2024
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author Evans, David
Martín-Roca, José
Harmer, Nathan J.
Valeriani, Chantal
Miller, Mark A.
author_facet Evans, David
Martín-Roca, José
Harmer, Nathan J.
Valeriani, Chantal
Miller, Mark A.
contents Non-equilibrium clustering and percolation are investigated in an archetypal model of two-dimensional active matter using dynamic simulations of self-propelled Brownian repulsive particles. We concentrate on the single-phase region up to moderate levels of activity, before motility-induced phase separation (MIPS) sets in. Weak activity promotes cluster formation and lowers the percolation threshold. However, driving the system further out of equilibrium partly reverses this effect, resulting in a minimum in the critical density for the formation of system-spanning clusters and introducing re-entrant percolation as a function of activity in the pre-MIPS regime. This non-monotonic behaviour arises from competition between activity-induced effective attraction (which eventually leads to MIPS) and activity-driven cluster breakup. Using an adapted iterative Boltzmann inversion method, we derive effective potentials to map weakly active cases onto a passive (equilibrium) model with conservative attraction, which can be characterised by Monte Carlo simulations. While the active and passive systems have practically identical radial distribution functions, we find decisive differences in higher-order structural correlations, to which the percolation threshold is highly sensitive. For sufficiently strong activity, no passive pairwise potential can reproduce the radial distribution function of the active system.
format Preprint
id arxiv_https___arxiv_org_abs_2409_04141
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Re-entrant percolation in active Brownian hard disks
Evans, David
Martín-Roca, José
Harmer, Nathan J.
Valeriani, Chantal
Miller, Mark A.
Statistical Mechanics
Soft Condensed Matter
Non-equilibrium clustering and percolation are investigated in an archetypal model of two-dimensional active matter using dynamic simulations of self-propelled Brownian repulsive particles. We concentrate on the single-phase region up to moderate levels of activity, before motility-induced phase separation (MIPS) sets in. Weak activity promotes cluster formation and lowers the percolation threshold. However, driving the system further out of equilibrium partly reverses this effect, resulting in a minimum in the critical density for the formation of system-spanning clusters and introducing re-entrant percolation as a function of activity in the pre-MIPS regime. This non-monotonic behaviour arises from competition between activity-induced effective attraction (which eventually leads to MIPS) and activity-driven cluster breakup. Using an adapted iterative Boltzmann inversion method, we derive effective potentials to map weakly active cases onto a passive (equilibrium) model with conservative attraction, which can be characterised by Monte Carlo simulations. While the active and passive systems have practically identical radial distribution functions, we find decisive differences in higher-order structural correlations, to which the percolation threshold is highly sensitive. For sufficiently strong activity, no passive pairwise potential can reproduce the radial distribution function of the active system.
title Re-entrant percolation in active Brownian hard disks
topic Statistical Mechanics
Soft Condensed Matter
url https://arxiv.org/abs/2409.04141