论文标题
介质热电发动机的随机热力学循环
Stochastic Thermodynamic Cycles of a Mesoscopic Thermoelectric Engine
论文作者
论文摘要
我们分析了稳态热电发动机,其工作物质由两个电容耦合量子点组成。一个点与隧道耦合到热源,作为热源,另一个点在较冷的温度下,另一个是一到两个电偏的储层,以便以稳态电流的形式提取工作,以抗偏置。在对这种稳态发动机自动驾驶的动力学的单一实现中,可以确定四冲程周期。与表现出自动振荡的机械自动发动机相反,循环纯粹是随机的。特别是,这些周期在方向和持续时间内波动,并与其他虚假周期竞争。使用随机热力学方法,我们量化了循环波动,并将其与单个周期期间产生的熵相关联。我们确定主要负责发动机性能的周期,并使用图理论中的工具量化其统计信息。我们表明,这样的随机循环是可能的,因为工作提取机制本身是随机的,而不是在常规机械发动机中可以找到的工作 - 替代性哈密顿量的周期性依赖性。我们的调查带来了关于环状和稳态发动机之间联系的新观点。
We analyze a steady-state thermoelectric engine, whose working substance consists of two capacitively coupled quantum dots. One dot is tunnel-coupled to a hot reservoir serving as a heat source, the other one to two electrically biased reservoirs at a colder temperature, such that work is extracted under the form of a steady-state current against the bias. In single realizations of the dynamics of this steady-state engine autonomous, 4-stroke cycles can be identified. The cycles are purely stochastic, in contrast to mechanical autonomous engines which exhibit self-oscillations. In particular, these cycles fluctuate in direction and duration, and occur in competition with other spurious cycles. Using a stochastic thermodynamic approach, we quantify the cycle fluctuations and relate them to the entropy produced during individual cycles. We identify the cycle mainly responsible for the engine performance and quantify its statistics with tools from graph theory. We show that such stochastic cycles are made possible because the work extraction mechanism is itself stochastic instead of the periodic time dependence in the working-substance Hamiltonian which can be found in conventional mechanical engines. Our investigation brings new perspectives about the connection between cyclic and steady-state engines.