References of "Horowitz, Jordan M."
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See detailWork producing reservoirs: Stochastic thermodynamics with generalized Gibbs ensembles
Horowitz, Jordan M.; Esposito, Massimiliano UL

in Physical Review. E ,Statistical, Nonlinear, and Soft Matter Physics (2016), 94(020102),

We develop a consistent stochastic thermodynamics for environments composed of thermodynamic reservoirs in an external conservative force field, that is, environments described by the generalized or Gibbs ... [more ▼]

We develop a consistent stochastic thermodynamics for environments composed of thermodynamic reservoirs in an external conservative force field, that is, environments described by the generalized or Gibbs canonical ensemble. We demonstrate that small systems weakly coupled to such reservoirs exchange both heat and work by verifying a local detailed balance relation for the induced stochastic dynamics. Based on this analysis, we help to rationalize the observation that nonthermal reservoirs can increase the efficiency of thermodynamic heat engines. [less ▲]

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See detailThermodynamics with Continuous Information Flow
Horowitz, Jordan M.; Esposito, Massimiliano UL

in Physical Review X (2014), 4

as nonautonomous systems described by stochastic thermodynamics. We demonstrate how information is <br />continuously generated in an auxiliary system and then transferred to a relevant system that can ... [more ▼]

as nonautonomous systems described by stochastic thermodynamics. We demonstrate how information is <br />continuously generated in an auxiliary system and then transferred to a relevant system that can utilize it to <br />fuel otherwise impossible processes. Indeed, while the joint system satisfies the second law, the entropy <br />balance for the relevant system is modified by an information term related to the mutual information rate <br />between the two systems. We show that many important results previously derived for nonautonomous <br />Maxwell demons can be recovered from our formalism and use a cycle decomposition to analyze the <br />continuous information flow in autonomous systems operating at a steady state. A model system is used to <br />illustrate our findings. [less ▲]

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