Transport and Diffusion Enhancement in Experimentally Realized Non-Gaussian Correlated Ratchets

Abstract

Living cells are known to generate non-Gaussian active fluctuations significantly larger than thermal fluctuations owing to various active processes. Understanding the effect of these active fluctuations on various physicochemical processes, such as the transport of molecular motors, is a fundamental problem in nonequilibrium physics. Therefore, we experimentally and numerically study an active Brownian ratchet comprising a colloidal particle in an optically generated asymmetric periodic potential driven by non-Gaussian noise having finite-amplitude active bursts, each arriving at random and decaying exponentially. We find that the particle velocity is maximum for relatively sparse bursts with finite correlation time and non-Gaussian distribution. These occasional kicks, which produce Brownian yet non-Gaussian diffusion, are more efficient for transport and diffusion enhancement of the particle than the incessant kicks of active Ornstein-Uhlenbeck noise.

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• Colossal power extraction from active cyclic Brownian information engines
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• Harvesting information to control non-equilibrium states of active matter
• Mechanism for giant enhancement of transport induced by active fluctuations
• Mechanochemical Active Ratchet
• Gauging nanoswimmer dynamics via the motion of large bodies
• Achievable Information-Energy Exchange in a Brownian Information Engine through Potential Profiling
• Nanoswimmers in a ratchet potential: Effects of a transverse rocking force