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Multi-scale organization in communicating active matter.

Alexander Ziepke1, Ivan Maryshev1, Igor S Aranson2

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Self-propelled agents use chemical signals for communication, enabling complex self-organization. This research explores multi-scale collective motion in active matter, revealing new insights into biological systems and microrobots.

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Area of Science:

  • Non-equilibrium physics
  • Active matter physics
  • Biophysics

Background:

  • Collective motion is a key phenomenon in non-equilibrium physics.
  • Active matter, including bacteria and synthetic colloids, exhibits collective behaviors.
  • Communication is crucial for the aggregation and organization of these systems, but its role is not fully understood.

Purpose of the Study:

  • To investigate the role of chemical communication in the multi-scale self-organization of interacting self-propelled agents.
  • To understand how local information processing via chemical signals influences collective dynamics.
  • To explore the potential for complex structure formation through communication-driven self-organization.

Main Methods:

  • Modeling interacting self-propelled agents.
  • Simulating systems that locally process information from chemical signals.
  • Analyzing multi-scale self-organization and collective dynamical states.

Main Results:

  • Chemical communication significantly enhances the ability of self-propelled agents to form complex structures.
  • Agents exhibit multi-scale self-organization through a series of collective dynamical states.
  • Self-sustained signal processing is shown to be a key driver of self-organization.

Conclusions:

  • Communication via chemical signals is vital for advanced self-organization in active matter.
  • Findings offer insights into biological self-organization and potential applications in synthetic systems.
  • This work paves the way for novel applications using chemically driven colloids and microrobots.