Emergent Metric-Like States of Active Particles with Metric-Free Polar Alignment

We study a model of self-propelled particles interacting with their k nearest neighbors through polar alignment. By exploring its phase space as a function of two nondimensional parameters (alignment strength g and Péclet number Pe), we identify two distinct order-disorder transitions. One occurs at a low critical g value independent of Pe, has no significant density-order coupling, and is consistent with the transition previously predicted by the mean-field approach. Up to the system sizes studied, it appears continuous. The other is discontinuous, depends on a combined control parameter involving Pe and g that controls the alignment strength, and results from the formation of small, dense, highly persistent clusters of particles that follow metric-like dynamics. These dense clusters form at a critical value of the combined control parameter Pe/g^{α}, with α≈1.5, which appears to be valid for different alignment-based models. Our study shows that models of active particles with metric-free interactions can produce characteristic length scales and self-organize into metric-like collective states that undergo metric-like transitions.

Authors

Institutions

Publication Details

Journal
Physical Review Letters
Published
2025-02-03
DOI
https://doi.org/10.1103/physrevlett.134.058201
Citations
2
Primary Topic
Micro and Nano Robotics
Type
article
Field-Weighted Citation Impact
2.52

Funders

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

Emergent Metric-Like States of Active Particles with Metric-Free Polar Alignment

Cristián Huepe, Yinong Zhao, Paweł Romańczuk
2 citations
Physical Review Letters
Micro and Nano Robotics
2.52
article

Emergent Metric-Like States of Active Particles with Metric-Free Polar Alignment

Cristián Huepe, Yinong Zhao, Paweł Romańczuk
article en
2 citations

Abstract

We study a model of self-propelled particles interacting with their k nearest neighbors through polar alignment. By exploring its phase space as a function of two nondimensional parameters (alignment strength g and Péclet number Pe), we identify two distinct order-disorder transitions. One occurs at a low critical g value independent of Pe, has no significant density-order coupling, and is consistent with the transition previously predicted by the mean-field approach. Up to the system sizes studied, it appears continuous. The other is discontinuous, depends on a combined control parameter involving Pe and g that controls the alignment strength, and results from the formation of small, dense, highly persistent clusters of particles that follow metric-like dynamics. These dense clusters form at a critical value of the combined control parameter Pe/g^{α}, with α≈1.5, which appears to be valid for different alignment-based models. Our study shows that models of active particles with metric-free interactions can produce characteristic length scales and self-organize into metric-like collective states that undergo metric-like transitions.

Physical Review LettersVol. 134(5)
Shanghai Jiao Tong University (CN), Beijing Normal University (CN), Humboldt-Universität zu Berlin (DE), Tempus Labs (United States) (US), Innovation Cluster (Canada) (CA), Bernstein Center for Computational Neuroscience Berlin (DE)
John Templeton Foundation, Deutsche Forschungsgemeinschaft, China Scholarship Council
Openalex Percentile: Top 13%
Micro and Nano Robotics
2.52
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.

Emergent Metric-Like States of Active Particles with Metric-Free Polar Alignment — Cristián Huepe, Yinong Zhao, et al. · Physical Review Letters (2025) | TGRS Research Map | TGRS