arXiv subjects

Karel Proesmans

Publications and source records attributed to Karel Proesmans.

40 records · Page 3Linked to original sources

arXiv2015

Efficiency of Single Particle Engines

We study the efficiency of a single particle Szilard and Carnot engine. Within a first order correction to the quasi-static limit, the work distribution is found to be Gaussian and the correction factor to average work and efficiency only depends on the piston speed. The stochastic efficiency is studied for both models and the recent findings on efficiency fluctuations are confirmed numerically. Special features are revealed in the zero temperature limit.

cond-mat.stat-mech↗

arXiv2015

Onsager coefficients in periodically driven systems

We evaluate the Onsager matrix for a system under time-periodic driving by considering all its Fourier components. By application of the second law, we prove that all the fluxes converge to zero in the limit of zero dissipation. Reversible efficiency can never be reached at finite power. The implication for an Onsager matrix, describing reduced fluxes, is that its determinant has to vanish. In the particular case of only two fluxes, the corresponding Onsager matrix becomes symmetric.

cond-mat.stat-mech↗

arXiv2015

Stochastic Efficiency: Five Case Studies

Stochastic efficiency is evaluated in five case studies: driven Brownian motion, effusion with a thermo-chemical and thermo-velocity gradient, a quantum dot and a model for information to work conversion. The salient features of stochastic efficiency, including the maximum of the large deviation function at the reversible efficiency, are reproduced. The approach to and extrapolation into the asymptotic time regime are documented.

cond-mat.stat-mech↗

arXiv2014

Stochastic Efficiency for Effusion as a Thermal Engine

The stochastic efficiency of effusion as a thermal engine is investigated within the framework of stochastic thermodynamics. Explicit results are obtained for the probability distribution of the efficiency both at finite times and in the asymptotic regime of large deviations. The universal features, derived in Verley et al., Nature Communications 5, 4721 (2014), are reproduced. The effusion engine is a good candidate for both the numerical and experimental verification of these predictions.

cond-mat.stat-mech↗