Heat Transfer Enhancement in Tree-Structured Polymer Linked Gold Nanoparticle Networks

被引:7
|
作者
Wei, Xingfei [1 ]
Hernandez, Rigoberto [1 ,2 ]
机构
[1] Johns Hopkins Univ, Dept Chem, Dept Chem & Biomol Engn, Baltimore, MD 21218 USA
[2] Johns Hopkins Univ, Dept Mat Sci & Engn, Baltimore, MD 21218 USA
来源
JOURNAL OF PHYSICAL CHEMISTRY LETTERS | 2023年 / 14卷 / 44期
基金
美国国家科学基金会;
关键词
SELF-ASSEMBLED MONOLAYER; CONSTRUCTAL-THEORY; THERMAL TRANSPORT; FORCE-FIELD; DENDRIMERS; FLOW;
D O I
10.1021/acs.jpclett.3c02367
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Human brains use a tree-like neuron network for information processing at high efficiency and low energy consumption. Tree-like structures have also been engineered to enhance mass and heat transfer in various applications. In this work, we reveal the heat transfer mechanism in tree-structured polymer linked gold nanoparticle (AuNP) networks using atomistic simulations. We report both upward and downward heat fluxes between root and leaf nodes in tree-structured polyethylene (PE) and poly(p-phenylene) (PPP) linked AuNP networks at tree levels from 1 to 5. We found that the heat conductance increases with an increasing polymer tree level. The heat transfer enhancement is due to the resulting increase in the low-frequency vibrational modes. This and other thermal properties are affected by the location of the AuNPs in the tree. Moreover, complex tree structures with at least five levels were found to be robust in the sense that disabling half of the leaves did not change the overall heat conductance.
引用
收藏
页码:9834 / 9841
页数:8
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