声子
整改
非谐性
整流器(神经网络)
材料科学
单色
热的
光电子学
工作(物理)
凝聚态物理
物理
光学
功率(物理)
计算机科学
人工神经网络
量子力学
随机神经网络
热力学
机器学习
循环神经网络
气象学
作者
Zhongwei Zhangz,Yulou Ouyang,Jie Chen,Sébastian Volz
出处
期刊:Chinese Physics B
[IOP Publishing]
日期:2020-12-01
卷期号:29 (12): 124402-124402
被引量:10
标识
DOI:10.1088/1674-1056/abbbf9
摘要
Thermal rectification is a promising way to manipulate the heat flow, in which thermal phonons are spectrally and collectively controlled. As phononic devices are mostly relying on monochromatic phonons, in this work we propose a phononic rectifier based on the carbon schwarzite host–guest system. By using molecular dynamic simulations, we demonstrate that the phononic rectification only happens at a specific frequency of the hybridized mode for the host–guest system, due to its strong confinement effect. Moreover, a significant rectification efficiency, ∼ 134 %, is observed, which is larger than most of the previously observed efficiencies. The study of length and temperature effects on the phononic rectification shows that the monochromaticity and frequency of the rectified thermal phonons depend on the intrinsic anharmonicity of the host–guest system and that the on-center rattling configuration with weak anharmonicity is preferable. Our study provides a new perspective on the rectification of thermal phonons, which would be important for controlling monochromatic thermal phonons in phononic devices.
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