The problem of engines in statistical physics
Robert Alicki, David Gelbwaser-Klimovsky, and Alejandro Jenkins

TL;DR
This paper discusses the theoretical modeling of engines in statistical physics, emphasizing the importance of open quantum systems and feedback mechanisms to better understand active systems like living matter.
Contribution
It introduces a new conceptual framework for autonomous engines, integrating external forces and thermal noise into thermodynamically consistent equations of motion.
Findings
Modified Fokker-Planck and Langevin equations for engines
Clarified distinction between heat and work outputs
Provided a thermodynamically complete model of oscillating engines
Abstract
Engines are open systems that can generate work cyclically, at the expense of an external disequilibrium. They are ubiquitous in nature and technology, but the course of mathematical physics over the last 300 years has tended to make their dynamics in time a theoretical blind spot. This has hampered the usefulness of statistical mechanics applied to active systems, including living matter. We argue that recent advances in the theory of open quantum systems, coupled with renewed interest in understanding how active forces result from positive feedback between different macroscopic degrees of freedom in the presence of dissipation, point to a more realistic description of autonomous engines. We propose a general conceptualization of an engine that helps clarify the distinction between its heat and work outputs. Based on this, we show how the external loading force and the thermal noise…
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