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Area of Science:

  • Physics of active matter
  • Complex systems dynamics
  • Statistical mechanics

Background:

  • Active particles exhibit complex behaviors influenced by their environment and internal properties.
  • Perception-dependent motility introduces novel interactions and collective phenomena in active matter systems.
  • Asymmetric channels can act as ratchets, enabling directed motion from random or swirling dynamics.

Purpose of the Study:

  • To numerically investigate the rectification and collective dynamics of active particles driven by perception-dependent motility.
  • To explore how misaligned perception and asymmetric channels interact to produce directed motion.
  • To understand the conditions for optimal rectification and collective behaviors like clustering and separation.

Main Methods:

  • Numerical simulations of active particles in an asymmetric channel.
  • Modeling perception-dependent motility with parameters like visual cone angle and perception threshold.
  • Analysis of particle trajectories, collective motion (rotation, translation), and rectification efficiency.

Main Results:

  • Swirling motion from misaligned perception is converted into directed motion via a ratchet mechanism.
  • Particle motion direction depends on channel asymmetry, not misalignment orientation.
  • Identical particles form rotating, translating clusters; binary mixtures show rectification and separation.
  • Optimal rectification achieved at specific channel widths, self-propulsion speeds, and perception parameters.

Conclusions:

  • Misaligned perception-dependent motility is a viable mechanism for controlling active matter in asymmetric environments.
  • The interplay between particle perception and channel geometry dictates collective dynamics and rectification.
  • Findings suggest pathways for designing active matter systems with desired collective behaviors and transport properties.