Stochastic thermodynamics, fluctuation theorems, and molecular machines
Udo Seifert

TL;DR
This paper reviews stochastic thermodynamics, detailing how it extends classical thermodynamics to small systems and non-equilibrium processes, with applications to molecular machines, fluctuation theorems, and efficiency analysis.
Contribution
It unifies fluctuation theorems and thermodynamic principles for small systems, providing a comprehensive framework for analyzing non-equilibrium stochastic processes and molecular machines.
Findings
Derivation of unified fluctuation theorems from a master theorem
Application of fluctuation theorems to molecular motors and thermoelectric devices
Systematic analysis of efficiency at maximum power beyond linear response
Abstract
Stochastic thermodynamics as reviewed here systematically provides a framework for extending the notions of classical thermodynamics like work, heat and entropy production to the level of individual trajectories of well-defined non-equilibrium ensembles. It applies whenever a non-equilibrium process is still coupled to one (or several) heat bath(s) of constant temperature. Paradigmatic systems are single colloidal particles in time-dependent laser traps, polymers in external flow, enzymes and molecular motors in single molecule assays, small biochemical networks and thermoelectric devices involving single electron transport. For such systems, a first-law like energy balance can be identified along fluctuating trajectories. Various integral and detailed fluctuation theorems, which are derived here in a unifying approach from one master theorem, constrain the probability distributions for…
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