声子
聚类系数
热的
西格玛
聚类分析
分布(数学)
机制(生物学)
学位分布
关系(数据库)
统计物理学
凝聚态物理
计算机科学
物理
复杂网络
材料科学
数学
热力学
人工智能
量子力学
数据挖掘
数学分析
万维网
作者
K. Xiong,Yuqi Liu,Man Zhou,Hang Dong,Zhengxin Yan
出处
期刊:Physical review
[American Physical Society]
日期:2024-04-17
卷期号:109 (4): 044311-044311
被引量:5
标识
DOI:10.1103/physreve.109.044311
摘要
The regulation of thermal transport is a challenging topic in complex networks. At present, the hidden physical mechanism behind thermal transport is poorly understood. This paper addresses this issue by proposing a complex network model that focuses on the thermal transport regulation through the manipulation of the network's degree distribution and clustering coefficient. Our findings indicate that increasing the degree distribution regulation parameter σ leads to reduced phonon localization and improved thermal transport efficiency. Conversely, increasing the clustering coefficient c results in enhanced phonon localization and reduced thermal transport efficiency. Meanwhile, by calculating the pseudodispersion relation of the network, we find that the maximum (or the second smallest) eigenfrequency decreases with increasing σ (or c). Finally, we elucidate that phonon localization plays a pivotal role in the thermal transport of the network, as demonstrated through density of states and the participation ratio.
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