随机热力学与Ericsson纳米引擎——源自平衡态结果的效率
Stochastic thermodynamics and the Ericsson nano engine -- Efficiency from equilibrium results
AI总结：
本研究针对以耦合热库的磁场中带电量子振子为工质的Ericsson纳米引擎循环，借助量子朗之万方程与稳态热力学函数数值计算准静态效率，发现耦合强度可调控效率至最大值，并分析了效率与工作磁场对的关联。
摘要：
在本研究中，我们探究了一种工作物质为处于磁场中、耦合至热库的带电（量子）振子的Ericsson循环。所得的含内置噪声项的量子朗之万方程（quantum Langevin equations）蕴含热力学结构，可用于计算该循环的效率。我们利用系统的稳态热力学函数，数值计算了准静态区域内的循环效率。有趣的是，研究发现通过增大系统-热库耦合强度，可将循环效率调控至最大值。我们还探究了效率随循环运行所依赖的两个磁场值变化的行为。
英文摘要：
In this work, we study an Ericsson cycle whose working substance is a charged (quantum) oscillator in a magnetic field that is coupled to a heat bath. The resulting quantum Langevin equations with built-in noise terms encapsulate a thermodynamic structure and allow for the computation of the efficiency of the cycle. We numerically compute the efficiency of the cycle in the quasi-static regime using the steady-state thermodynamic functions of the system. Interestingly, it is found that by increasing the system-bath coupling strength, the efficiency of the cycle can be tuned to a maximum. We also explore the behavior of the efficiency as a function of the pair of magnetic-field values between which the cycle is operated.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
