Self-organization of anti-aligning active particles: Waving pattern formation and chaos

Recently, it has been shown that purely anti-aligning interaction between active particles may induce a finite wavelength instability. The formed patterns display intricate spatiotemporal dynamics, suggesting the presence of chaos. Here, we propose a quasi-one-dimensional simplification of the particle interaction model. This simplified model allows us to deduce amplitude equations that describe the collective motion of the active entities. We show that these equations exhibit chaotic orbits. Furthermore, via direct numerical simulations of the particle's system, we discuss the pertinence of these amplitude equations approach for describing the particle's self-coordinated motions.

Authors

Institutions

Publication Details

Journal
Physical review. E
Published
2024-08-12
DOI
https://doi.org/10.1103/physreve.110.024603
Citations
5
Primary Topic
Micro and Nano Robotics
Type
article
Field-Weighted Citation Impact
1.55

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Self-organization of anti-aligning active particles: Waving pattern formation and chaos

Daniel Escaff
5 citations
Physical review. E
Micro and Nano Robotics
1.55
article

Self-organization of anti-aligning active particles: Waving pattern formation and chaos

Daniel Escaff
article en
5 citations

Abstract

Recently, it has been shown that purely anti-aligning interaction between active particles may induce a finite wavelength instability. The formed patterns display intricate spatiotemporal dynamics, suggesting the presence of chaos. Here, we propose a quasi-one-dimensional simplification of the particle interaction model. This simplified model allows us to deduce amplitude equations that describe the collective motion of the active entities. We show that these equations exhibit chaotic orbits. Furthermore, via direct numerical simulations of the particle's system, we discuss the pertinence of these amplitude equations approach for describing the particle's self-coordinated motions.

Physical review. EVol. 110(2)
Universidad de Los Andes, Chile (CL)
Fondo Nacional de Desarrollo Científico y Tecnológico
Openalex Percentile: Top 18%
Micro and Nano Robotics
1.55
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.