Results 1 to 10 of about 7,243 (148)
Stochastic Thermodynamics of Oscillators’ Networks [PDF]
Entropy, 2018 We apply the stochastic thermodynamics formalism to describe the dynamics of systems of complex Langevin and Fokker-Planck equations. We provide in particular a simple and general recipe to calculate thermodynamical currents, dissipated and propagating ...
Simone Borlenghi, Anna Delin
doaj +6 more sources
Stochastic Thermodynamics of Brownian Motion [PDF]
Entropy, 2017 A stochastic thermodynamics of Brownian motion is set up in which state functions are expressed in terms of state variables through the same relations as in classical irreversible thermodynamics, with the difference that the state variables are now ...
Grégoire Nicolis, Yannick De Decker
doaj +5 more sources
Stochastic thermodynamics for biological functions [PDF]
Quantitative BiologyLiving systems operate within physical constraints imposed by nonequilibrium thermodynamics. This review explores recent advancements in applying these principles to understand the fundamental limits of biological functions. We introduce the framework of
Yuansheng Cao, Shiling Liang
doaj +5 more sources
Stochastic Thermodynamics of an Electromagnetic Energy Harvester [PDF]
Entropy, 2022 We study the power extracted by an electromagnetic energy harvester driven by broadband vibrations. We describe the system with a linear model, featuring an underdamped stochastic differential equation for an effective mass in a harmonic potential ...
Luigi Costanzo +3 more
doaj +4 more sources
Linear stochastic thermodynamics
New Journal of Physics, 2022 We study the thermodynamics of open systems weakly driven out-of-equilibrium by nonconservative and time-dependent forces using the linear regime of stochastic thermodynamics. We make use of conservation laws to identify the potential and nonconservative
Danilo Forastiere +2 more
doaj +4 more sources
Stochastic Thermodynamics of Learning [PDF]
Physical Review Letters, 2017 Virtually every organism gathers information about its noisy environment and builds models from that data, mostly using neural networks. Here, we use stochastic thermodynamics to analyse the learning of a classification rule by a neural network. We show that the information acquired by the network is bounded by the thermodynamic cost of learning and ...
Sebastian Goldt, Udo Seifert
exaly +5 more sources
Experiments in Stochastic Thermodynamics: Short History and Perspectives
Physical Review X, 2017 We summarize in this article the experiments which have been performed to test the theoretical findings in stochastic thermodynamics such as fluctuation theorem, Jarzynski equality, stochastic entropy, out-of-equilibrium fluctuation dissipation theorem ...
S. Ciliberto
doaj +2 more sources
Optimal control in stochastic thermodynamics
Journal of Physics Communications, 2023 We review recent progress in optimal control in stochastic thermodynamics. Theoretical advances provide in-depth insight into minimum-dissipation control with either full or limited (parametric) control, and spanning the limits from slow to fast driving ...
Steven Blaber, David A Sivak
doaj +3 more sources
Physical Review X, 2021 We provide a general theory of nonlinear electronic circuits subjected to thermal noise. The devices constituting the circuit can have arbitrary I-V curves but must display shot noise. This theory includes tunnel junctions, diodes, and MOS transistors in
Nahuel Freitas +2 more
doaj +2 more sources
Macroscopic stochastic thermodynamics [PDF]
Reviews of Modern PhysicsStarting at the mesoscopic level with a general formulation of stochastic thermodynamics in terms of Markov jump processes, we identify the scaling conditions that ensure the emergence of a (typically nonlinear) deterministic dynamics and an extensive thermodynamics at the macroscopic level.
Massimiliano Esposito +1 more
exaly +3 more sources