Literature DB >> 32978682

Large-Scale Dynamics of Self-propelled Particles Moving Through Obstacles: Model Derivation and Pattern Formation.

P Aceves-Sanchez1, P Degond2, E E Keaveny2, A Manhart3, S Merino-Aceituno4,5, D Peurichard6.   

Abstract

We model and study the patterns created through the interaction of collectively moving self-propelled particles (SPPs) and elastically tethered obstacles. Simulations of an individual-based model reveal at least three distinct large-scale patterns: travelling bands, trails and moving clusters. This motivates the derivation of a macroscopic partial differential equations model for the interactions between the self-propelled particles and the obstacles, for which we assume large tether stiffness. The result is a coupled system of nonlinear, non-local partial differential equations. Linear stability analysis shows that patterning is expected if the interactions are strong enough and allows for the predictions of pattern size from model parameters. The macroscopic equations reveal that the obstacle interactions induce short-ranged SPP aggregation, irrespective of whether obstacles and SPPs are attractive or repulsive.

Entities:  

Keywords:  Gradient flow; Hydrodynamic limit; Non-local interactions; Pattern formation; Self-propelled particles; Stability analysis

Year:  2020        PMID: 32978682      PMCID: PMC7519010          DOI: 10.1007/s11538-020-00805-z

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  28 in total

1.  Novel type of phase transition in a system of self-driven particles.

Authors: 
Journal:  Phys Rev Lett       Date:  1995-08-07       Impact factor: 9.161

Review 2.  Social and developmental biology of the myxobacteria.

Authors:  L J Shimkets
Journal:  Microbiol Rev       Date:  1990-12

3.  Swimming fluctuations of micro-organisms due to heterogeneous microstructure.

Authors:  Mehdi Jabbarzadeh; YunKyong Hyon; Henry C Fu
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2014-10-31

4.  Optimal noise maximizes collective motion in heterogeneous media.

Authors:  Oleksandr Chepizhko; Eduardo G Altmann; Fernando Peruani
Journal:  Phys Rev Lett       Date:  2013-06-05       Impact factor: 9.161

5.  Hydrodynamic limits for kinetic flocking models of Cucker-Smale type.

Authors:  Pedro Aceves-Sánchez; Mihai Bostan; Jose-Antonio Carrillo; Pierre Degond
Journal:  Math Biosci Eng       Date:  2019-08-28       Impact factor: 2.080

6.  Scale-free correlations in starling flocks.

Authors:  Andrea Cavagna; Alessio Cimarelli; Irene Giardina; Giorgio Parisi; Raffaele Santagati; Fabio Stefanini; Massimiliano Viale
Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-14       Impact factor: 11.205

7.  Trail formation based on directed pheromone deposition.

Authors:  Emmanuel Boissard; Pierre Degond; Sebastien Motsch
Journal:  J Math Biol       Date:  2012-04-20       Impact factor: 2.259

8.  From disorder to order in marching locusts.

Authors:  J Buhl; D J T Sumpter; I D Couzin; J J Hale; E Despland; E R Miller; S J Simpson
Journal:  Science       Date:  2006-06-02       Impact factor: 47.728

9.  Agent-based modeling: case study in cleavage furrow models.

Authors:  Alex Mogilner; Angelika Manhart
Journal:  Mol Biol Cell       Date:  2016-11-07       Impact factor: 4.138

10.  Fluid viscoelasticity promotes collective swimming of sperm.

Authors:  Chih-Kuan Tung; Chungwei Lin; Benedict Harvey; Alyssa G Fiore; Florencia Ardon; Mingming Wu; Susan S Suarez
Journal:  Sci Rep       Date:  2017-06-09       Impact factor: 4.379

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  1 in total

Review 1.  Bridging from single to collective cell migration: A review of models and links to experiments.

Authors:  Andreas Buttenschön; Leah Edelstein-Keshet
Journal:  PLoS Comput Biol       Date:  2020-12-10       Impact factor: 4.475

  1 in total

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