Multi-component molecular machines are ubiquitous in biology. We review recent progress
on describing their thermodynamic properties using autonomous bipartite Markovian …

Biomolecular machines are driven by information ratchet mechanisms, where kinetic
asymmetry in the machine's chemomechanical cycle of fuel-to-waste catalysis induces net …

Closely related to the laws of thermodynamics, the detection and quantification of
disequilibria are crucial in unraveling the complexities of nature, particularly those beneath …

Starting at the mesoscopic level with a general formulation of stochastic thermodynamics in
terms of Markov jump processes, we identify the scaling conditions that ensure the …

Nonequilibrium situations where selected currents are suppressed are of interest in fields
like thermoelectrics and spintronics, raising the question of how the related noises behave …

Successful feedback control of small systems allows for the rectification of thermal
fluctuations, converting them into useful energy; however, control itself requires work. This …

We analyze a mesoscopic conductor autonomously performing a thermodynamically useful
task, such as cooling or producing electrical power, in a part of the system—the working …

Few-level systems coupled to thermal baths provide useful models for quantum
thermodynamics and to understand the role of heat currents in quantum information settings …

Molecular motors fulfill critical functions within all living beings. Understanding their
underlying working principles is therefore of great interest. Here we develop a simple model …

Heat engines and information engines have each historically served as motivating examples
for the development of thermodynamics. While these two types of systems are typically …