English

Emergent Synchronization and Flocking in Purely Repulsive Self-Navigating Particles

Statistical Mechanics 2022-11-09 v2 Adaptation and Self-Organizing Systems

Abstract

Inspired by groups of animals and robots, we study the collective dynamics of large numbers of active particles, each one trying to get to its own randomly placed target, while avoiding collisions with each other. The particles we study are repulsive homing active Brownian particles (HABPs) - self-propelled particles whose orientation relaxes at a finite rate towards an absorbing target in 2d2d continuous space. For a wide range of parameters, these particles form synchronised system-wide chiral flocks, in spite of the absence of explicit alignment interactions. We show that this dramatic behavior obtains for different system sizes and density, that it is robust against the addition of noise, polydispersity, and bounding walls, and that it can exhibit dynamical topological defects. We develop an analogy to an off-lattice, ferromagnetic XY model, which allows us to interpret the different phases, as well as the topological defects.

Keywords

Cite

@article{arxiv.2202.09440,
  title  = {Emergent Synchronization and Flocking in Purely Repulsive Self-Navigating Particles},
  author = {Mathias Casiulis and Dov Levine},
  journal= {arXiv preprint arXiv:2202.09440},
  year   = {2022}
}

Comments

17 pages, 10 figures. Ancillary videos available

R2 v1 2026-06-24T09:45:19.234Z