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Communication: Memory effects and active Brownian diffusion.

Pulak K Ghosh1, Yunyun Li2, Giampiero Marchegiani3

  • 1Department of Chemistry, Presidency University, Kolkata 700073, India.

The Journal of Chemical Physics
|December 10, 2015
PubMed
Summary
This summary is machine-generated.

Finite-time correlations in artificial microswimmer dynamics can alter their diffusion. Memory effects in propulsion fluctuations can enhance or suppress diffusivity, impacting experimental data interpretation.

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Area of Science:

  • Physics
  • Statistical Mechanics
  • Soft Matter

Background:

  • Artificial microswimmers are often modeled as ballistic Brownian particles with memoryless angular randomization.
  • Current models typically assume random, instantaneous changes in direction due to environmental collisions.

Purpose of the Study:

  • To investigate the impact of finite-time correlations in orientational dynamics on microswimmer diffusivity.
  • To explore how memory effects in propulsion fluctuations influence particle diffusion.

Main Methods:

  • Proposed and solved two theoretical models for microswimmer dynamics.
  • Model 1: Exponentially correlated environmental fluctuations affecting propulsion.
  • Model 2: Damped fluctuations of propulsion velocity around the swimmer's axis.

Main Results:

  • Predicts that diffusion constants can be enhanced or suppressed by increasing model memory time.
  • The specific effect (enhancement or suppression) depends on the nature of the correlations.

Conclusions:

  • Finite-time correlations in orientational dynamics are crucial and can significantly affect microswimmer diffusivity.
  • These findings suggest a need to reconsider the interpretation of experimental data for artificial microswimmers.