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微观热机的熵异常与最大效率

Entropic anomaly and maximal efficiency of microscopic heat engines.

作者信息

Bo Stefano, Celani Antonio

机构信息

Cancer Cell Biophysics, Institute for Cancer Research at Candiolo, Str. Prov. 142 km 3.95, 10060 Candiolo, Torino, Italy.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2013 May;87(5):050102. doi: 10.1103/PhysRevE.87.050102. Epub 2013 May 13.

DOI:10.1103/PhysRevE.87.050102
PMID:23767467
Abstract

The efficiency of microscopic heat engines in a thermally heterogenous environment is considered. We show that-as a consequence of the recently discovered entropic anomaly-quasistatic engines, whose efficiency is maximal in a fluid at uniform temperature, have in fact vanishing efficiency in the presence of temperature gradients. For slow cycles the efficiency falls off as the inverse of the period. The maximum efficiency is reached at a finite value of the cycle period that is inversely proportional to the square root of the gradient intensity. The relative loss in maximal efficiency with respect to the thermally homogeneous case grows as the square root of the gradient. As an illustration of these general results, we construct an explicit, analytically solvable example of a Carnot stochastic engine. In this thought experiment, a Brownian particle is confined by a harmonic trap and immersed in a fluid with a linear temperature profile. This example may serve as a template for the design of real experiments in which the effect of the entropic anomaly can be measured.

摘要

研究了热非均匀环境中微观热机的效率。我们表明,由于最近发现的熵异常,在均匀温度流体中效率最大的准静态发动机,在存在温度梯度时实际上效率为零。对于缓慢循环,效率随周期的倒数下降。在与梯度强度的平方根成反比的有限周期值时达到最大效率。相对于热均匀情况,最大效率的相对损失随梯度的平方根增加。作为这些一般结果的例证,我们构建了一个明确的、可解析求解的卡诺随机发动机示例。在这个思想实验中,一个布朗粒子被一个谐波陷阱限制,并浸没在具有线性温度分布的流体中。这个例子可以作为设计实际实验的模板,在这些实验中可以测量熵异常的影响。

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