论文标题
用对称半导体超级晶格的热电热发动机的最大功率效率
Efficiency at maximum power of thermoelectric heat engines with the symmetric semiconductor superlattice
论文作者
论文摘要
对于最大功率(EMP)的效率(EMP)是热发动机评估以高效率输出功率的能力的非常重要的规范。从理论上讲,已经证明,假设的盒装电子传输可以实现热电加热发动机的极限EMP,这是通过一维对称INP/INSE超级延伸的共振隧道实现的。通过传输矩阵方法发现,对称模式是可靠的,无论周期性如何,并且获得的盒装电子传输源于对称模式和允许带中的Fabry-Pérot模式之间的强耦合。宽大的变速箱和变速箱边缘的急剧下降既有益于最大功率和EMP,又有偏置电压和屏障厚度优化。在机器学习技术的帮助下提取最大功率和EMP,并且可以实现超过95%的理论限制,以实现较小的温度差,较小的屏障宽度和较大的井宽度。我们希望获得的结果可以为高EMP热电加热发动机的未来设计提供一些基本指导。
Efficiency at maximum power (EMP) is a very important specification for a heat engine to evaluate the capacity of outputting adequate power with high efficiency. It has been proved theoretically that the limit EMP of thermoelectric heat engine can be achieved with the hypothetical boxcar-shaped electron transmission, which is realized here by the resonant tunneling in the one-dimensional symmetric InP/InSe superlattice. It is found with the transfer matrix method that a symmetric mode is robust that regardless of the periodicity, and the obtained boxcar-like electron transmission stems from the strong coupling between symmetric mode and Fabry-Pérot modes inside the allowed band. High uniformity of the boxcar-like transmission and the sharp drop of the transmission edge are both beneficial to the maximum power and the EMP, which are optimized by the bias voltage and the thicknesses of barrier and well. The maximum power and EMP are extracted with the help of machine learning technique, and more than 95% of their theoretical limits can both be achieved for smaller temperature difference, smaller barrier width and larger well width. We hope the obtain results could provide some basic guidance for the future designs of high EMP thermoelectric heat engines.