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Active responsive colloids driven by intrinsic dichotomous noise.

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Area of Science:

  • Soft Matter Physics
  • Colloid Science
  • Materials Science

Background:

  • Responsive colloids (RCs) actively change size and interactions.
  • Internal degrees of freedom (DOF) are crucial for colloid behavior.
  • Self-crowding effects are significant in dense colloidal systems.

Purpose of the Study:

  • Investigate the influence of intrinsic noise on the structure and dynamics of RCs.
  • Model active colloids with internal size fluctuations (dichotomous noise).
  • Analyze crowding effects on spatial distributions, relaxation times, and self-diffusion.

Main Methods:

  • Developed a dichotomous active responsive colloid (D-ARC) model.
  • Incorporated internal dichotomous noise for size "breathing".
  • Employed stochastic computer simulations for dense suspensions.

Main Results:

  • Observed transitions from unimodal to bimodal size distributions with increasing colloid density.
  • Found intrinsic noise significantly modifies diffusive translational dynamics.
  • Demonstrated noise-induced changes in spatial distributions and relaxation times.

Conclusions:

  • Intrinsic noise is a key factor in the collective behavior of D-ARCs.
  • Controlling internal noise offers a powerful method for tuning active colloidal materials.
  • Autonomous adaptation of macroscopic properties is achievable through noise modulation.