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Area of Science:

  • Non-equilibrium physics
  • Soft matter physics
  • Statistical mechanics

Background:

  • Living cells exhibit non-Gaussian active fluctuations exceeding thermal noise.
  • Understanding active fluctuations' impact on molecular motor transport is crucial.

Purpose of the Study:

  • Investigate the effect of non-Gaussian noise with active bursts on particle transport.
  • Compare the efficiency of different noise types for particle diffusion and transport.

Main Methods:

  • Experimental and numerical study of an active Brownian ratchet.
  • Utilized a colloidal particle in an asymmetric periodic potential.
  • Driven by non-Gaussian noise with exponentially decaying bursts.

Main Results:

  • Particle velocity maximized with sparse, finite-correlation, non-Gaussian noise bursts.
  • Occasional active bursts enhance particle transport and diffusion more effectively.
  • Non-Gaussian diffusion driven by intermittent kicks is superior to continuous active Ornstein-Uhlenbeck noise.

Conclusions:

  • Intermittent active noise, characterized by non-Gaussianity and finite correlation, optimizes particle transport.
  • This finding has implications for understanding intracellular transport and designing artificial systems.