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预测石墨烯-聚合物体系中相邻纳米片之间的隧穿电阻率。

Predicting of tunneling resistivity between adjacent nanosheets in graphene-polymer systems.

作者信息

Zare Yasser, Gharib Nima, Nam Dong-Hyun, Chang Young-Wook

机构信息

Biomaterials and Tissue Engineering Research Group, Department of Interdisciplinary Technologies, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran.

College of Engineering and Technology, American University of the Middle East, Egaila, 54200, Kuwait.

出版信息

Sci Rep. 2023 Aug 1;13(1):12455. doi: 10.1038/s41598-023-39414-w.

Abstract

In this work, the tunneling resistivity between neighboring nanosheets in grapheme-polymer nanocomposites is expressed by a simple equation as a function of the characteristics of graphene and tunnels. This expression is obtained by connecting two advanced models for the conductivity of graphene-filled materials reflecting tunneling role and interphase area. The predictions of the applied models are linked to the tested data of several samples. The impressions of all factors on the tunneling resistivity are evaluated and interpreted using the suggested equation. The calculations of tunneling resistivity for the studied examples by the model and suggested equation demonstrate the same levels, which confirm the presented methodology. The results indicate that the tunneling resistivity decreases by super-conductive graphene, small tunneling width, numerous contacts among nanosheets and short tunneling length.

摘要

在这项工作中,石墨烯-聚合物纳米复合材料中相邻纳米片之间的隧穿电阻率由一个简单方程表示,该方程是石墨烯和隧道特性的函数。这个表达式是通过连接两个反映隧穿作用和界面面积的石墨烯填充材料电导率的先进模型得到的。所应用模型的预测与几个样品的测试数据相关联。使用所提出的方程评估和解释所有因素对隧穿电阻率的影响。通过该模型和所提出的方程对研究示例的隧穿电阻率计算显示出相同的水平,这证实了所提出的方法。结果表明,超导石墨烯、小隧穿宽度、纳米片之间大量的接触以及短隧穿长度会使隧穿电阻率降低。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54ab/10394054/c4584754cbda/41598_2023_39414_Fig1_HTML.jpg

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