80 citations · 156 across the 16 of their papers we have counts for
5 papers · 1 filter
Stroboscopic measurements in Markov networks: Exact generator reconstruction vs. thermodynamic inference
Malena T. Bauer, Udo Seifert, Jann van der Meer
A major goal of stochastic thermodynamics is to estimate the inevitable dissipation that accompanies particular observable phenomena in an otherwise not fully accessible system. Qu…
Entropy estimation for partially accessible Markov networks based on imperfect observations: Role of finite resolution and finite statistics
Jonas H. Fritz, Benjamin Ertel, Udo Seifert
Estimating entropy production from real observation data can be difficult due to finite resolution in both space and time and finite measurement statistics. We characterize the sta…
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…
General theory for localizing the where and when of entropy production meets single-molecule experiments
Julius Degünther, Jann van der Meer, Udo Seifert
The laws of thermodynamics apply to biophysical systems on the nanoscale as described by the framework of stochastic thermodynamics. This theory provides universal, exact relations…
Entropy production from waiting-time distributions for overdamped Langevin dynamics
Ellen Meyberg, Julius Degünther, Udo Seifert
For a Markovian dynamics on discrete states, the logarithmic ratio of waiting-time distributions between two successive, instantaneous transitions in forward and backward direction…