Adiabatic monoparametric autonomous motors enabled by self-induced nonconservative forces

TL;DR

This paper introduces a novel autonomous optomechanical motor that converts a constant energy flow into sustained mechanical motion using nonlinearities, demonstrating robustness and efficiency in power extraction.

Contribution

It presents a monoparametric optomechanical engine leveraging nonlinearities for self-sustained motion, a new mechanism for autonomous energy conversion.

Findings

Maximum power extraction remains invariant under certain conditions.

The system exhibits self-induced robustness against imperfections and noise.

The mechanical frequency is significantly lower than the photonic frequency.

Abstract

Archetypal motors produce work when two slowly varying degrees of freedom (DOF) move around a closed loop of finite area in the parameter space. Here, instead, we propose a simple autonomous {\it monoparametric} optomechanical engine that utilizes nonlinearities to turn a constant energy current into a nonconservative mechanical force. The latter self-sustains the periodic motion of a mechanical DOF whose frequency is orders of magnitude smaller than the photonic DOF. We have identified conditions under which the maximum extracted mechanical power is invariant and show a new type of self-induced robustness of the power production against imperfections and driving noise.