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Area of Science:

  • Physics
  • Soft Matter Physics
  • Computational Physics

Background:

  • Active matter systems exhibit complex emergent behaviors like self-organization and phase separation.
  • Understanding phase separation dynamics is crucial for designing active materials with desired properties.

Purpose of the Study:

  • Investigate the phase separation process in a 2D active Brownian dumbbell model.
  • Analyze the growth dynamics, hexatic order, and geometric properties of emerging clusters.

Main Methods:

  • Employed molecular dynamics simulations.
  • Utilized scaling properties of the structure factor to evaluate cluster size.
  • Applied a tracking algorithm to analyze cluster geometry and motion.

Main Results:

  • Observed faster phase separation growth compared to active disk models, enhanced by stronger activity.
  • Found that orientational order within clusters evolves algebraically with time.
  • Demonstrated that large clusters can exhibit fractal characteristics and undergo circular motion.

Conclusions:

  • Active Brownian dumbbells show distinct phase separation dynamics compared to simpler models.
  • Cluster internal order and external motion are size-dependent and influenced by activity levels.
  • A simple mechanical model can rationalize the observed cluster dynamics.