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Title: Phase separation of self-propelled ballistic particles

Journal Article · · Physical Review E
 [1];  [1]
  1. Univ. of Michigan, Ann Arbor, MI (United States)

Self-propelled particles phase-separate into coexisting dense and dilute regions above a critical density. The statistical nature of their stochastic motion lends itself to various theories that predict the onset of phase separation. However, these theories are ill-equipped to describe such behavior when noise becomes negligible. To overcome this limitation, we present a predictive model that relies on two density-dependent timescales: $$τ_F$$, the mean time particles spend between collisions; and $$τ_C$$, the mean lifetime of a collision. We show that only when $$τ_F$$ < $$τ_C$$ do collisions last long enough to develop a growing cluster and initiate phase separation. Finally, using both analytical calculations and active particle simulations, we measure these timescales and determine the critical density for phase separation in both two and three dimensions.

Research Organization:
Energy Frontier Research Centers (EFRC) (United States). Center for Bio-Inspired Energy Science (CBES)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES)
Grant/Contract Number:
SC0000989
OSTI ID:
1470624
Alternate ID(s):
OSTI ID: 1433755
Journal Information:
Physical Review E, Vol. 97, Issue 4; Related Information: CBES partners with Northwestern University (lead); Harvard University; New York University; Pennsylvania State University; University of Michigan; University of Pittsburgh; ISSN 2470-0045
Publisher:
American Physical Society (APS)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 12 works
Citation information provided by
Web of Science

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Cited By (3)

Chemical Nanomotors at the Gram Scale Form a Dense Active Optorheological Medium journal January 2019
Collective oscillation in dense suspension of self-propelled chiral rods journal January 2019
From scalar to polar active matter: Connecting simulations with mean-field theory journal February 2020