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20242026
most citedInferring kinetics and entropy production from observable transitions in partially accessible, periodically driven Markov networks

7 citations · 12 across the 6 of their papers we have counts for

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cond-mat.stat-mech2026

Generalizing the multidimensional thermodynamic uncertainty relation to combinations of arbitrary counting variables

Niklas Buschmann, Udo Seifert, Alexander M. Maier

Uncertainty relations provide lower bounds for otherwise hidden quantities of a partially accessible Markov network like the mean entropy production rate and the total dynamical ac…

cond-mat.stat-mech2026

Lower bounds on entropy production from dynamical correlation functions

Paul Raux, Alexander M. Maier, Udo Seifert

Entropy production is a key property in stochastic thermodynamics. For partially observed and coarse-grained systems, its inference is challenging and typically rests on proven low…