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石墨烯-聚吡咯复合电导率的计算研究

Computational Study of Graphene-Polypyrrole Composite Electrical Conductivity.

作者信息

Folorunso Oladipo, Hamam Yskandar, Sadiku Rotimi, Ray Suprakas Sinha

机构信息

Department of Electrical Engineering, French South African Institute of Technology (F'SATI), Tshwane University of Technology, Pretoria 0001, South Africa.

Centre for Nanostructures and Advanced Materials, DSI-CSIR Nanotechnology Innovation Centre, Council for Scientific and Industrial Research, Pretoria 0001, South Africa.

出版信息

Nanomaterials (Basel). 2021 Mar 24;11(4):827. doi: 10.3390/nano11040827.

DOI:10.3390/nano11040827
PMID:33804929
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8063847/
Abstract

In this study, the electrical properties of graphene-polypyrrole (graphene-PPy) nanocomposites were thoroughly investigated. A numerical model, based on the Simmons and McCullough equations, in conjunction with the Monte Carlo simulation approach, was developed and used to analyze the effects of the thickness of the PPy, aspect ratio diameter of graphene nanorods, and graphene intrinsic conductivity on the transport of electrons in graphene-PPy-graphene regions. The tunneling resistance is a critical factor determining the transport of electrons in composite devices. The junction capacitance of the composite was predicted. A composite with a large insulation thickness led to a poor electrochemical electrode. The dependence of the electrical conductivity of the composite on the volume fraction of the filler was studied. The results of the developed model are consistent with the percolation theory and measurement results reported in literature. The formulations presented in this study can be used for optimization, prediction, and design of polymer composite electrical properties.

摘要

在本研究中,对石墨烯 - 聚吡咯(graphene - PPy)纳米复合材料的电学性质进行了全面研究。基于西蒙斯和麦卡洛方程,结合蒙特卡罗模拟方法,开发了一个数值模型,并用于分析聚吡咯厚度、石墨烯纳米棒的长径比以及石墨烯本征电导率对石墨烯 - PPy - 石墨烯区域中电子传输的影响。隧穿电阻是决定复合器件中电子传输的关键因素。预测了复合材料的结电容。具有大绝缘厚度的复合材料会导致电化学电极性能不佳。研究了复合材料的电导率对填料体积分数的依赖性。所开发模型的结果与渗流理论以及文献报道的测量结果一致。本研究中提出的公式可用于聚合物复合材料电学性质的优化、预测和设计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96ac/8063847/104480fd428c/nanomaterials-11-00827-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96ac/8063847/742772f6c71d/nanomaterials-11-00827-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96ac/8063847/5389eefa5cb8/nanomaterials-11-00827-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96ac/8063847/9ab20789a1e7/nanomaterials-11-00827-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96ac/8063847/d2e8831f1644/nanomaterials-11-00827-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96ac/8063847/b5b5f4e33531/nanomaterials-11-00827-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96ac/8063847/104480fd428c/nanomaterials-11-00827-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96ac/8063847/742772f6c71d/nanomaterials-11-00827-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96ac/8063847/5389eefa5cb8/nanomaterials-11-00827-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96ac/8063847/9ab20789a1e7/nanomaterials-11-00827-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96ac/8063847/d2e8831f1644/nanomaterials-11-00827-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96ac/8063847/b5b5f4e33531/nanomaterials-11-00827-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96ac/8063847/104480fd428c/nanomaterials-11-00827-g006.jpg

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Improving Electrochemical Properties of Polypyrrole Coatings by Graphene Oxide and Carbon Nanotubes.通过氧化石墨烯和碳纳米管改善聚吡咯涂层的电化学性能
Nanomaterials (Basel). 2020 Mar 11;10(3):507. doi: 10.3390/nano10030507.
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Parametric Analysis of Electrical Conductivity of Polymer-Composites.聚合物复合材料电导率的参数分析
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