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

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cond-mat.stat-mech2024★ 7 cited

Inferring kinetics and entropy production from observable transitions in partially accessible, periodically driven Markov networks

Alexander M. Maier, Julius Degünther, Jann van der Meer +1

For a network of discrete states with a periodically driven Markovian dynamics, we develop an inference scheme for an external observer who has access to some transitions. Based on…