Stochastic Heat Engine Powered By Active Dissipation
Arnab Saha, Rahul Marathe, P. S. Pal, A. M. Jayannavar

TL;DR
This paper analyzes a nanoscale stochastic heat engine driven by active dissipation, combining theoretical stochastic thermodynamics and simulations to understand its efficiency and work output, with potential for experimental realization.
Contribution
It introduces a model of a Brownian particle heat engine powered by active dissipation and provides analytical and simulation results on its thermodynamic performance.
Findings
Analytical expressions for work, heat, and efficiency at long cycle times.
Simulation results agree with theoretical predictions in the long cycle time limit.
Distributions of work and efficiency, including large deviation functions, are characterized.
Abstract
Thermodynamics of nanoscale devices is an active area of research. Despite their noisy surrounding they often produce mechanical work (e.g. micro-heat engines), display rectified Brownian motion (e.g. molecular motors). This invokes research in terms of experimentally quantifiable thermodynamic efficiencies. Here, a Brownian particle is driven by a harmonic confinement with time-periodic contraction and expansion. The system produces work by being alternately (time-periodically) connected to baths with different dissipations. We analyze the system theoretically using stochastic thermodynamics. Averages of thermodynamic quantities like work, heat, efficiency, entropy are found analytically for long cycle times. Simulations are also performed in various cycle-times. They show excellent agreement with analytical calculations in the long cycle time limit. Distributions of work, efficiency,…
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