Current and efficiency enhancement in Brownian motors driven by non Gaussian noises

TL;DR

This paper investigates how non-Gaussian colored noise influences the performance of Brownian motors, revealing enhancements in current, efficiency, and mass separation potential, with implications for both technological and natural systems.

Contribution

It demonstrates that non-Gaussian noise can improve current, efficiency, and mass separation in Brownian motors, providing new insights into their behavior under realistic noise conditions.

Findings

Non-Gaussian noise enhances current and efficiency.

Mass separation capability is improved with non-Gaussian noise.

Effects observed in both overdamped and inertial regimes.

Abstract

We study Brownian motors driven by colored non Gaussian noises, both in the overdamped regime and in the case with inertia, and analyze how the departure of the noise distribution from Gaussian behavior can affect its behavior. We analyze the problem from two alternative points of view: one oriented mainly to possible technological applications and the other more inspired in natural systems. In both cases we find an enhancement of current and efficiency due to the non-Gaussian character of the noise. We also discuss the possibility of observing an enhancement of the mass separation capability of the system when non-Gaussian noises are considered.