整改
不对称
热导率
热的
整流器(神经网络)
工作(物理)
材料科学
热传导
热流密度
光电子学
热力学
传热
物理
计算机科学
复合材料
功率(物理)
随机神经网络
量子力学
机器学习
循环神经网络
人工神经网络
作者
Fu-Ye Du,Wang Zhang,Hui‐Qiong Wang,Jin‐Cheng Zheng
出处
期刊:Chinese Physics B
[IOP Publishing]
日期:2023-03-25
卷期号:32 (6): 064402-064402
被引量:11
标识
DOI:10.1088/1674-1056/acc78c
摘要
Thermal rectification is an exotic thermal transport phenomenon, an analog to electrical rectification, in which heat flux along one direction is larger than that in the other direction and is of significant interest in electronic device applications. However, achieving high thermal rectification efficiency or rectification ratio is still a scientific challenge. In this work, we performed a systematic simulation of thermal rectification by considering both efforts of thermal conductivity asymmetry and geometrical asymmetry in a multi-segment thermal rectifier. It is found that the high asymmetry of thermal conductivity and the asymmetry of the geometric structure of multi-segment thermal rectifiers can significantly enhance the thermal rectification, and the combination of both thermal conductivity asymmetry and geometrical asymmetry can further improve thermal rectification efficiency. This work suggests a possible way for improving thermal rectification devices by asymmetry engineering.
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