Results 41 to 50 of about 7,243 (148)

Arcsine Laws in Stochastic Thermodynamics [PDF]

open access: yesPhysical Review Letters, 2018
We show that the fraction of time a thermodynamic current spends above its average value follows the arcsine law, a prominent result obtained by Lévy for Brownian motion. Stochastic currents with long streaks above or below their average are much more likely than those that spend similar fractions of time above and below their average.
Barato, A.   +3 more
openaire   +5 more sources

Thermodynamics in Stochastic Conway’s Game of Life

open access: yesCondensed Matter, 2023
Cellular automata can simulate many complex physical phenomena using the power of simple rules. The presented methodological platform expresses the concept of programmable matter, of which Newton’s laws of motion are an example.
Krzysztof Pomorski, Dariusz Kotula
doaj   +1 more source

Stochastic thermodynamics of hidden pumps [PDF]

open access: yesPhysical Review E, 2015
8 pages, 3 figures, v1: First version, v2: Major changes, new applications and new results (pumping can always be performed reversibly), v3 version accepted in Phys.
Esposito, Massimiliano   +1 more
openaire   +5 more sources

Hyperaccurate currents in stochastic thermodynamics [PDF]

open access: yesPhysical Review E, 2019
11 pages, 2 figures (accepted in Phys. Rev. E as Rapid Communication)
Busiello, Daniel Maria   +1 more
openaire   +4 more sources

General relativistic stochastic thermodynamics

open access: yesSciPost Physics Core
Based on the recent work [J. Stat. Phys. 190, 193 (2023), J. Stat. Phys. 190, 181 (2023)], we formulate the first law and the second law of stochastic thermodynamics in the framework of general relativity.
Tao Wang, Yifan Cai, Long Cui, Liu Zhao
doaj   +1 more source

Optimization of Stochastic Thermodynamic Machines [PDF]

open access: yesJournal of Statistical Physics, 2020
The study of stochastic thermodynamic machines is one of the main topics in nonequilibrium thermodynamics. In this study, within the framework of Fokker-Planck equation, and using the method of characteristics of partial differential equation as well as the variational method, performance of stochastic thermodynamic machines is optimized according to ...
openaire   +3 more sources

Stochastic thermodynamics in many-particle systems

open access: yesNew Journal of Physics, 2015
We study the thermodynamic properties of a microscopic model of coupled oscillators that exhibits a dynamical phase transition from a desynchronized to a synchronized phase. We consider two different configurations for the thermodynamic forces applied on
Alberto Imparato
doaj   +1 more source

Free energy landscape and kinetics of phase transition in two coupled SYK models and the corresponding wormhole-two black hole switching

open access: yesJournal of High Energy Physics, 2021
We propose that the thermodynamics and the kinetics of the phase transition between wormhole and two black hole described by the two coupled SYK model can be investigated in terms of the stochastic dynamics on the underlying free energy landscape.
Ran Li, Jin Wang
doaj   +1 more source

Stochastic thermodynamics: principles and perspectives [PDF]

open access: yesThe European Physical Journal B, 2008
Stochastic thermodynamics provides a framework for describing small systems like colloids or biomolecules driven out of equilibrium but still in contact with a heat bath. Both, a first-law like energy balance involving exchanged heat and entropy production entering refinements of the second law can consistently be defined along single stochastic ...
openaire   +3 more sources

Nonequilibrium Thermodynamics of Chemical Reaction Networks: Wisdom from Stochastic Thermodynamics

open access: yesPhysical Review X, 2016
We build a rigorous nonequilibrium thermodynamic description for open chemical reaction networks of elementary reactions. Their dynamics is described by deterministic rate equations with mass action kinetics.
Riccardo Rao, Massimiliano Esposito
doaj   +1 more source

Home - About - Disclaimer - Privacy