Literature DB >> 16605738

Self-propelled particles with soft-core interactions: patterns, stability, and collapse.

M R D' Orsogna1, Y L Chuang, A L Bertozzi, L S Chayes.   

Abstract

Understanding collective properties of driven particle systems is significant for naturally occurring aggregates and because the knowledge gained can be used as building blocks for the design of artificial ones. We model self-propelling biological or artificial individuals interacting through pairwise attractive and repulsive forces. For the first time, we are able to predict stability and morphology of organization starting from the shape of the two-body interaction. We present a coherent theory, based on fundamental statistical mechanics, for all possible phases of collective motion.

Year:  2006        PMID: 16605738     DOI: 10.1103/PhysRevLett.96.104302

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  55 in total

1.  Noise, Bifurcations, and Modeling of Interacting Particle Systems.

Authors:  Luis Mier-Y-Teran-Romero; Eric Forgoston; Ira B Schwartz
Journal:  Rep U S       Date:  2011

2.  Fish in a ring: spatio-temporal pattern formation in one-dimensional animal groups.

Authors:  Nicole Abaid; Maurizio Porfiri
Journal:  J R Soc Interface       Date:  2010-04-22       Impact factor: 4.118

3.  Inferring individual rules from collective behavior.

Authors:  Ryan Lukeman; Yue-Xian Li; Leah Edelstein-Keshet
Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-28       Impact factor: 11.205

4.  Shape control and compartmentalization in active colloidal cells.

Authors:  Matthew Spellings; Michael Engel; Daphne Klotsa; Syeda Sabrina; Aaron M Drews; Nguyen H P Nguyen; Kyle J M Bishop; Sharon C Glotzer
Journal:  Proc Natl Acad Sci U S A       Date:  2015-08-07       Impact factor: 11.205

5.  Collective behavior in animal groups: theoretical models and empirical studies.

Authors:  Irene Giardina
Journal:  HFSP J       Date:  2008-08-01

6.  Spatially balanced topological interaction grants optimal cohesion in flocking models.

Authors:  Marcelo Camperi; Andrea Cavagna; Irene Giardina; Giorgio Parisi; Edmondo Silvestri
Journal:  Interface Focus       Date:  2012-08-08       Impact factor: 3.906

Review 7.  From behavioural analyses to models of collective motion in fish schools.

Authors:  Ugo Lopez; Jacques Gautrais; Iain D Couzin; Guy Theraulaz
Journal:  Interface Focus       Date:  2012-10-03       Impact factor: 3.906

8.  Delay-induced instabilities in self-propelling swarms.

Authors:  Eric Forgoston; Ira B Schwartz
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2008-03-19

9.  Noise Induced Pattern Switching in Randomly Distributed Delayed Swarms.

Authors:  Brandon Lindley; Luis Mier-Y-Teran-Romero; Ira B Schwartz
Journal:  Proc Am Control Conf       Date:  2013

10.  Convergence of a linearly transformed particle method for aggregation equations.

Authors:  Martin Campos Pinto; José A Carrillo; Frédérique Charles; Young-Pil Choi
Journal:  Numer Math (Heidelb)       Date:  2018-04-11       Impact factor: 2.223

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