Physical Chemistry Chemical Physics 2018-04-12

Eliminating Common Biases in Modelling Electrical Conductivity of Carbon Nanotubes-Polymer Nanocomposites

Linh Trong Hoang, Siu Ning Leung, Zheng Hong Zhu

Index: 10.1039/C8CP01715H

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Abstract

Modelling carbon nanotube-polymer nanocomposites to predict their electrical conductivity demands high computational power. Past research usually assumed the conductive network follow a periodic pattern; however, the impacts of the underlying biases had never been investigated. This work provides insights to evaluate such biases and eliminate them to improve simulation accuracy.

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