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

We discuss some of the practical challenges that one faces in using stochastic
thermodynamics to infer directionality of molecular machines from experimental single …

The inference of thermodynamic quantities from the description of an only partially
accessible physical system is a central challenge in stochastic thermodynamics. A common …

The relationship between the thermodynamic and computational properties of physical
systems has been a major theoretical interest since at least the 19th century. It has also …

Irreversibility is commonly quantified by entropy production. An external observer can
estimate it through measuring an observable that is antisymmetric under time reversal like a …

Many nonequilibrium, active processes are observed at a coarse-grained level, where
different microscopic configurations are projected onto the same observable state. Such …

Quantifying irreversibility of a system using finite information constitutes a major challenge in
stochastic thermodynamics. We introduce an observable that measures the time-reversal …

In living systems, irreversible, yet stochastic, molecular interactions form multiscale
structures (such as cytoskeletal networks), which mediate processes (such as cytokinesis …

Stochastic thermodynamics provides the framework to analyze thermodynamic laws and
quantities along individual trajectories of small but fully observable systems. If the …

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