材料科学
树(集合论)
传热
纳米颗粒
胶体金
聚合物
工作(物理)
电导
聚乙烯
树形结构
化学物理
生物系统
纳米技术
复合材料
计算机科学
热力学
化学
物理
数学
凝聚态物理
数学分析
算法
生物
二叉树
作者
Xingfei Wei,Rigoberto Hernandez
标识
DOI:10.1021/acs.jpclett.3c02367
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI