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Contact temporal network during motility-induced phase separation.

Italo Salas1, Francisca Guzmán-Lastra1, Denisse Pastén1

  • 1Universidad de Chile, Departamento de Física, Facultad de Ciencias, Santiago Chile.

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|November 18, 2025
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Summary
This summary is machine-generated.

Motility-induced phase separation (MIPS) in active matter is explored using complex networks. Network analysis reveals universal and phase-specific dynamics, uncovering distinct topological structures in dense and dilute phases.

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Area of Science:

  • Physics
  • Soft Matter Physics
  • Statistical Mechanics

Background:

  • Motility-induced phase separation (MIPS) is a key nonequilibrium transition in active matter.
  • It is governed by factors like Péclet number and packing fraction.
  • Understanding the collective dynamics within MIPS is crucial.

Purpose of the Study:

  • To investigate the single-phase and phase-separated regimes of MIPS.
  • To apply a complex network approach to analyze particle interactions.
  • To reveal universal and phase-specific dynamics using network metrics.

Main Methods:

  • Constructing complex networks from particle interactions over finite time windows.
  • Analyzing degree distributions P(k) in both single-phase and phase-separated regimes.
  • Examining clustering coefficients and average path lengths.

Main Results:

  • In the single-phase regime, P(k) distributions are Gaussian, similar to random graphs.
  • A universal curve emerges for the P(k) peak across different Péclet numbers.
  • The phase-separated regime shows distinct dynamics in dense (gas-like) and dilute (active solid-like) phases.
  • Network metrics stabilize rapidly, suggesting short simulations are sufficient.

Conclusions:

  • Complex network analysis effectively exposes universal and phase-specific aspects of MIPS dynamics.
  • Distinct and previously unreported topological structures are identified in the dense and dilute phases.
  • Network metrics provide valuable insights into the collective behavior of active matter systems.