Literature DB >> 29219441

Phase Coexistence in Insect Swarms.

Michael Sinhuber1, Nicholas T Ouellette1.   

Abstract

Animal aggregations are visually striking, and as such are popular examples of collective behavior in the natural world. Quantitatively demonstrating the collective nature of such groups, however, remains surprisingly difficult. Inspired by thermodynamics, we applied topological data analysis to laboratory insect swarms and found evidence for emergent, material-like states. We show that the swarms consist of a core "condensed" phase surrounded by a dilute "vapor" phase. These two phases coexist in equilibrium, and maintain their distinct macroscopic properties even though individual insects pass freely between them. We further define a pressure and chemical potential to describe these phases, extending theories of active matter to aggregations of macroscopic animals and laying the groundwork for a thermodynamic description of collective animal groups.

Mesh:

Year:  2017        PMID: 29219441     DOI: 10.1103/PhysRevLett.119.178003

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


  10 in total

1.  Response of insect swarms to dynamic illumination perturbations.

Authors:  Michael Sinhuber; Kasper van der Vaart; Nicholas T Ouellette
Journal:  J R Soc Interface       Date:  2019-01-31       Impact factor: 4.118

2.  Local interactions and their group-level consequences in flocking jackdaws.

Authors:  Hangjian Ling; Guillam E Mclvor; Kasper van der Vaart; Richard T Vaughan; Alex Thornton; Nicholas T Ouellette
Journal:  Proc Biol Sci       Date:  2019-07-03       Impact factor: 5.349

3.  Stochastic modelling of bird flocks: accounting for the cohesiveness of collective motion.

Authors:  Andy M Reynolds; Guillam E McIvor; Alex Thornton; Patricia Yang; Nicholas T Ouellette
Journal:  J R Soc Interface       Date:  2022-04-20       Impact factor: 4.293

4.  Langevin dynamics encapsulate the microscopic and emergent macroscopic properties of midge swarms.

Authors:  A M Reynolds
Journal:  J R Soc Interface       Date:  2018-01       Impact factor: 4.118

5.  An equation of state for insect swarms.

Authors:  Michael Sinhuber; Kasper van der Vaart; Yenchia Feng; Andrew M Reynolds; Nicholas T Ouellette
Journal:  Sci Rep       Date:  2021-02-12       Impact factor: 4.379

6.  Dominating lengthscales of zebrafish collective behaviour.

Authors:  Yushi Yang; Francesco Turci; Erika Kague; Chrissy L Hammond; John Russo; C Patrick Royall
Journal:  PLoS Comput Biol       Date:  2022-01-13       Impact factor: 4.475

7.  Understanding the thermodynamic properties of insect swarms.

Authors:  Andy M Reynolds
Journal:  Sci Rep       Date:  2021-07-22       Impact factor: 4.379

8.  Density-functional fluctuation theory of crowds.

Authors:  J Felipe Méndez-Valderrama; Yunus A Kinkhabwala; Jeffrey Silver; Itai Cohen; T A Arias
Journal:  Nat Commun       Date:  2018-08-30       Impact factor: 14.919

9.  Mechanical spectroscopy of insect swarms.

Authors:  Kasper van der Vaart; Michael Sinhuber; Andrew M Reynolds; Nicholas T Ouellette
Journal:  Sci Adv       Date:  2019-07-10       Impact factor: 14.136

10.  On the emergence of gravitational-like forces in insect swarms.

Authors:  Andy M Reynolds
Journal:  J R Soc Interface       Date:  2019-11-13       Impact factor: 4.118

  10 in total

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