Dynamic phase transitions in simple driven kinetic networks

Suriyanarayanan Vaikuntanathan*, Todd Gingrich, Phillip L. Geissler

*Corresponding author for this work

Research output: Contribution to journalArticle

32 Scopus citations

Abstract

We analyze the probability distribution for entropy production rates of trajectories evolving on a class of out-of-equilibrium kinetic networks. These networks can serve as simple models for driven dynamical systems, where energy fluxes typically result in nonequilibrium dynamics. By analyzing the fluctuations in the entropy production, we demonstrate the emergence, in a large system size limit, of a dynamic phase transition between two distinct dynamical regimes.

Original languageEnglish (US)
Article number062108
JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Volume89
Issue number6
DOIs
StatePublished - Jun 5 2014

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Condensed Matter Physics

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