Literature DB >> 21230105

Swarm behavior of self-propelled rods and swimming flagella.

Yingzi Yang1, Vincent Marceau, Gerhard Gompper.   

Abstract

Systems of self-propelled particles are known for their tendency to aggregate and to display swarm behavior. We investigate two model systems: self-propelled rods interacting via volume exclusion and sinusoidally beating flagella embedded in a fluid with hydrodynamic interactions. In the flagella system, beating frequencies are gaussian distributed with a nonzero average. These systems are studied by brownian-dynamics simulations and by mesoscale hydrodynamics simulations, respectively. The clustering behavior is analyzed as the particle density and the environmental or internal noise are varied. By distinguishing three types of cluster-size probability density functions, we obtain a phase diagram of different swarm behaviors. The properties of clusters such as their configuration, lifetime, and average size are analyzed. We find that the swarm behavior of the two systems, characterized by several effective power laws, is very similar. However, a more careful analysis reveals several differences. Clusters of self-propelled rods form due to partially blocked forward motion and are therefore typically wedge shaped. At higher rod density and low noise, a giant mobile cluster appears, in which most rods are mostly oriented toward the center. In contrast, flagella become hydrodynamically synchronized and attract each other; their clusters are therefore more elongated. Furthermore, the lifetime of flagella clusters decays more quickly with cluster size than of rod clusters.

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Year:  2010        PMID: 21230105     DOI: 10.1103/PhysRevE.82.031904

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  14 in total

1.  Hysteresis, reentrance, and glassy dynamics in systems of self-propelled rods.

Authors:  Hui-Shun Kuan; Robert Blackwell; Loren E Hough; Matthew A Glaser; M D Betterton
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2015-12-31

2.  Phase separation and emergent structures in an active nematic fluid.

Authors:  Elias Putzig; Aparna Baskaran
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2014-10-08

Review 3.  Collective dynamics of sperm cells.

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Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2020-07-27       Impact factor: 6.237

4.  Active dumbbells: Dynamics and morphology in the coexisting region.

Authors:  Isabella Petrelli; Pasquale Digregorio; Leticia F Cugliandolo; Giuseppe Gonnella; Antonio Suma
Journal:  Eur Phys J E Soft Matter       Date:  2018-10-25       Impact factor: 1.890

5.  Self-regulation in self-propelled nematic fluids.

Authors:  A Baskaran; M C Marchetti
Journal:  Eur Phys J E Soft Matter       Date:  2012-09-28       Impact factor: 1.890

6.  Simulating squirmers with multiparticle collision dynamics.

Authors:  Andreas Zöttl; Holger Stark
Journal:  Eur Phys J E Soft Matter       Date:  2018-05-15       Impact factor: 1.890

7.  Defect dynamics in clusters of self-propelled rods in circular confinement.

Authors:  Zhengjia Wang; Tieyan Si; Junhua Hao; Yu Guan; Feng Qin; Bin Yang; Wenwu Cao
Journal:  Eur Phys J E Soft Matter       Date:  2019-11-27       Impact factor: 1.890

8.  Viability Test Device for anisakid nematodes.

Authors:  Michael Kroeger; Horst Karl; Bernhard Simmler; Peter Singer
Journal:  Heliyon       Date:  2018-03-06

9.  Multi-ciliated microswimmers-metachronal coordination and helical swimming.

Authors:  Sebastian Rode; Jens Elgeti; Gerhard Gompper
Journal:  Eur Phys J E Soft Matter       Date:  2021-06-08       Impact factor: 1.890

10.  Mechanism for Collective Cell Alignment in Myxococcus xanthus Bacteria.

Authors:  Rajesh Balagam; Oleg A Igoshin
Journal:  PLoS Comput Biol       Date:  2015-08-26       Impact factor: 4.475

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