title: Dynamic phase transitions in simple driven kinetic networks.
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.
authors.affiliation: Material Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA.
authors.forename: Suriyanarayanan
authors.initials: S
authors.lastname: Vaikuntanathan
authors.affiliation: Department of Chemistry, University of California, Berkeley, Berkeley, California 94720, USA.
authors.forename: Todd R
authors.initials: TR
authors.lastname: Gingrich
authors.affiliation: Material Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA and Department of Chemistry, University of California, Berkeley, Berkeley, California 94720, USA and Chemical Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA.
authors.forename: Phillip L
authors.initials: PL
authors.lastname: Geissler
mesh_terms: D019277:Entropy; D007700:Kinetics; D015233:Models, Statistical; D016012:Poisson Distribution; D011336:Probability