Optimal tuning of a confined Brownian information engine

Jong Min Park, Jae Sung Lee, Jae Dong Noh

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

A Brownian information engine is a device extracting mechanical work from a single heat bath by exploiting the information on the state of a Brownian particle immersed in the bath. As for engines, it is important to find the optimal operating condition that yields the maximum extracted work or power. The optimal condition for a Brownian information engine with a finite cycle time τ has been rarely studied because of the difficulty in finding the nonequilibrium steady state. In this study, we introduce a model for the Brownian information engine and develop an analytic formalism for its steady-state distribution for any τ. We find that the extracted work per engine cycle is maximum when τ approaches infinity, while the power is maximum when τ approaches zero.

Original languageEnglish
Article number032146
JournalPhysical Review E
Volume93
Issue number3
DOIs
StatePublished - 28 Mar 2016

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