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Related Experiment Videos

Rotation in an asymmetric multidimensional periodic potential due to colored noise

Ghosh1, Khare

  • 1Department of Physics, The Ohio State University, 174 West 18th Avenue, Columbus, Ohio 43210, USA.

Physical Review Letters
|September 16, 2000
PubMed
Summary

Noise-driven particle motion in periodic potentials can exhibit rotation due to temporal noise correlations and potential asymmetry. This phenomenon arises from sign changes in noise-induced drift, creating diverse flow patterns.

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Area of Science:

  • Statistical physics
  • Classical mechanics
  • Condensed matter physics

Background:

  • Overdamped classical particle dynamics are fundamental in statistical physics.
  • Periodic potentials are common in various physical systems, influencing particle behavior.
  • External noise drives systems out of equilibrium, leading to complex dynamics.

Purpose of the Study:

  • To investigate the conditions leading to particle rotation in a multidimensional periodic potential under external noise.
  • To analyze the role of temporal noise correlations and potential asymmetry in generating directed motion.
  • To explore the emergence of diverse flow patterns, including rotation, from noise-induced drift.

Main Methods:

  • Analysis of an overdamped classical particle model.

Related Experiment Videos

  • Simulation of particle motion in multidimensional periodic potentials.
  • Inclusion of temporally correlated external noise.
  • Examination of steady-state particle dynamics.

    • Main Results:

    • Temporal correlations in noise and spatial asymmetry in the potential can induce particle rotation.
    • Rotation results from a sign change in the noise-induced drift across dimensions.
    • A range of flow patterns, from laminar drifts to complex rotations, can be generated.
    • The findings are dependent on the specific potential landscape and noise characteristics.

    Conclusions:

    • Particle rotation is a viable phenomenon in overdamped systems driven by correlated noise in asymmetric potentials.
    • The study provides a mechanism for generating controlled particle motion and flow patterns in nanoscale systems.
    • Understanding these dynamics is crucial for designing artificial molecular motors and controlling transport in complex media.