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Aggregation-fragmentation and individual dynamics of active clusters.

F Ginot1, I Theurkauff1, F Detcheverry1

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Summary
This summary is machine-generated.

Active matter self-organizes into dynamic clusters. This study quantifies cluster dynamics in apolar active matter, revealing a generic model for their size distribution and evolution.

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Area of Science:

  • Physics
  • Soft Matter Physics
  • Statistical Mechanics

Background:

  • Active matter exhibits self-organization into dynamic structures.
  • The cluster phase is characterized by evolving clusters of varying sizes.

Purpose of the Study:

  • To provide a comprehensive description of cluster dynamics in apolar active matter.
  • To rationalize the observed cluster size distribution and fluctuations.

Main Methods:

  • Utilized large-scale statistics from experiments on thousands of Janus colloids.
  • Measured aggregation and fragmentation rates of clusters.
  • Modeled individual cluster motion based on random colloid orientation.

Main Results:

  • Quantified aggregation and fragmentation rates, explaining cluster size distribution.
  • Demonstrated that cluster motion aligns with a random orientation model.
  • Established a simple, generic model for the cluster phase.

Conclusions:

  • The study provides a fundamental understanding of clustering in apolar active matter.
  • Findings offer a generic framework for analyzing self-organized structures in active systems.