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考虑隧穿电阻时碳纳米管手性对聚合物纳米复合材料电导率的影响。

The effect of carbon nanotube chirality on the electrical conductivity of polymer nanocomposites considering tunneling resistance.

作者信息

Doh Jaehyeok, Park Sang-In, Yang Qing, Raghavan Nagarajan

机构信息

Engineering Product Development (EPD) Pillar, Singapore University of Technology and Design (SUTD) 487372, Singapore.

出版信息

Nanotechnology. 2019 Nov 15;30(46):465701. doi: 10.1088/1361-6528/ab3b79. Epub 2019 Sep 2.

Abstract

In this study, the effect on the conductance of polymer nanocomposites considering quantum tunneling resistance is investigated with respect to the chirality of carbon nanotubes (CNTs) and uncertainties in the geometric parameters of CNTs by using Monte Carlo simulations. The random spatial placement for CNTs was accomplished with a one-dimensional line segment and the periodic boundary conditions were applied to CNTs in the two-dimensional representative volume element. Intersection points between each CNT were calculated to obtain connectivity lists of the connected network path. Both the intrinsic resistance of the CNT and the inter-CNT tunneling resistance were considered in this model. In addition, the in-house code developed was validated by comparison with several experimental datasets from the literature. Unlike past studies, uncertainties in the chiral index of single-wall CNTs concerning armchair and zig-zag structures have been considered here and the electrical conductivity and percolation threshold are predicted.

摘要

在本研究中,通过蒙特卡罗模拟,针对碳纳米管(CNT)的手性以及CNT几何参数的不确定性,研究了考虑量子隧穿电阻时聚合物纳米复合材料电导率的影响。利用一维线段实现了CNT的随机空间布局,并将周期性边界条件应用于二维代表性体积单元中的CNT。计算每个CNT之间的交点以获得连通网络路径的连通性列表。该模型同时考虑了CNT的固有电阻和CNT间的隧穿电阻。此外,通过与文献中的几个实验数据集进行比较,验证了所开发的内部代码。与以往的研究不同,本研究考虑了单壁CNT扶手椅型和锯齿型结构的手性指数的不确定性,并预测了电导率和渗流阈值。

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