We connect two recent advances in the stochastic analysis of nonequilibrium systems: the
(loose) uncertainty principle for the currents, which states that statistical errors are bounded …

The past twenty years have seen a resurgence of interest in nonequilibrium
thermodynamics, thanks to advances in the theory of stochastic processes and in their …

We set up a rigorous thermodynamic description of reaction-diffusion systems driven out of
equilibrium by time-dependent space-distributed chemostats. Building on the assumption of …

Thermal machines perform useful tasks, such as producing work, cooling, or heating by
exchanging energy, and possibly additional conserved quantities such as particles, with …

Thermodynamics is usually formulated on the presumption that the observer has complete
information about the system he or she deals with: no parasitic current, exact evaluation of …

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 from a microscopic system-baths description, we derive the general conditions for a
time-local quantum master equation (QME) to satisfy the first and second laws of …

Chemical reaction networks offer a natural nonlinear generalization of linear Markov jump
processes on a finite state-space. In this paper, we analyze the dynamical large deviations …

Starting from the most general formulation of stochastic thermodynamics—ie a
thermodynamically consistent nonautonomous stochastic dynamics describing systems in …

We formulate a nonequilibrium thermodynamic description for open chemical reaction
networks (CRNs) described by a chemical master equation. The topological properties of the …