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20012026
most citedUniversal oscillations in counting statistics

254 citations · 1.2k across the 41 of their papers we have counts for

collaborators

41 papers

cond-mat.stat-mech2026

Relaxation to nonequilibrium

Christian Maes, Karel Netočný

We describe the structure of relaxation for a steadily driven macroscopic body. The time-evolution is characterized as the zero-cost flow for a nonequilibrium and nonlinear extensi…

cond-mat.stat-mech2025★ 3 cited

Short-range and long-range correlations in driven dense colloidal mixtures in narrow pores

Frantisek Slanina, Miroslav Kotrla, Karel Netocny

The system of driven dense colloid mixture in a tube with diameter comparable with particle size is modeled by a generalization of asymmetric simple exclusion (ASEP) model. The gen…

cond-mat.stat-mech2024★ 8 cited

Affine relationships between steady currents

Faezeh Khodabandehlou, Christian Maes, Karel Netočný

Perturbing transition rates in a steady nonequilibrium system, e.g. modelled by a Markov jump process, causes a change in the local currents. Their susceptibility is usually expres…

cond-mat.stat-mech2022★ 11 cited

The vanishing of excess heat for nonequilibrium processes reaching zero ambient temperature

Faezeh Khodabandehlou, Christian Maes, Irene Maes +1

We present the mathematical ingredients for an extension of the Third Law of Thermodynamics (Nernst heat postulate) to nonequilibrium processes. The central quantity is the excess…

cond-mat.stat-mech2022★ 27 cited

A Nernst heat theorem for nonequilibrium jump processes

Faezeh Khodabandehlou, Christian Maes, Karel Netočný

We discuss via general arguments and examples when and why the steady nonequilibrium heat capacity vanishes with temperature. The framework is the one of Markov jump processes on f…

cond-mat.stat-mech2022★ 20 cited

Trees and forests for nonequilibrium purposes: an introduction to graphical representations

Faezeh Khodabandehlou, Christian Maes, Karel Netočný

Using local detailed balance we rewrite the Kirchhoff formula for stationary distribution of Markov jump processes in terms of a physically interpretable tree-ensemble. We use that…