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Active wetting transitions induced by rotational noise at solid interfaces.

Suchismita Das1,2, Raghunath Chelakkot1

  • 1Department of Physics, Indian Institute of Technology Bombay, Mumbai 400076, India.

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Summary
This summary is machine-generated.

Enhanced wall rotational diffusion controls wetting transitions in active Brownian particle systems. Increasing this diffusion leads to morphological changes, from complete wetting to drying.

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Area of Science:

  • Soft Matter Physics
  • Active Matter Systems
  • Computational Physics

Background:

  • Active Brownian particles exhibit complex behaviors near interfaces.
  • Wetting phenomena are crucial for understanding phase transitions in confined systems.
  • Understanding particle interactions with confining walls is key to controlling system morphology.

Purpose of the Study:

  • To investigate wetting transitions of active Brownian particles confined by flat walls.
  • To explore the role of enhanced rotational diffusion at walls as a control parameter.
  • To characterize the morphological changes and underlying mechanisms of these transitions.

Main Methods:

  • Brownian dynamics simulations were employed to model particle behavior.
  • Wall-particle interactions were simulated using a short-range repulsive potential.
  • Contact angles and order parameters were computed to analyze wetting states.

Main Results:

  • Enhanced rotational diffusion at walls induces a sequence of wetting transitions: complete wetting, partial wetting with droplet formation, and drying.
  • These transitions are associated with increased kinetic energy fluctuations and bubble formation.
  • Modifying local reorientation rates alone is sufficient to drive wetting transitions.

Conclusions:

  • Rotational diffusion at confining walls is a viable control parameter for active matter wetting transitions.
  • The study provides insights into the morphological evolution of active particle aggregates under confinement.
  • Findings highlight the tunability of active matter systems through local reorientation dynamics.