Suppr超能文献

打破铜和碳纳米管之间的电屏障。

Breaking the electrical barrier between copper and carbon nanotubes.

机构信息

Department of Materials Science and Metallurgy, University of Cambridge, 27 Charles Babbage Rd, CB3 0FS Cambridge, UK.

出版信息

Nanoscale. 2017 Jun 22;9(24):8458-8469. doi: 10.1039/c7nr02142a.

Abstract

Improving the interface between copper and carbon nanotubes (CNTs) offers a straightforward strategy for the effective manufacturing and utilisation of Cu-CNT composite material that could be used in various industries including microelectronics, aerospace and transportation. Motivated by a combination of structural and electrical measurements on Cu-M-CNT bimetal systems (M = Ni, Cr) we show, using first principles calculations, that the conductance of this composite can exceed that of a pure Cu-CNT system and that the current density can even reach 10 A cm. The results show that the proper choice of alloying element (M) and type of contact facilitate the fabrication of ultra-conductive Cu-M-CNT systems by creating a favourable interface geometry, increasing the interface electronic density of states and reducing the contact resistance. In particular, a small concentration of Ni between the Cu matrix and the CNT using either an "end contact" and or a "dot contact" can significantly improve the electrical performance of the composite. Furthermore the predicted conductance of Ni-doped Cu-CNT "carpets" exceeds that of an undoped system by ∼200%. Cr is shown to improve CNT integration and composite conductance over a wide temperature range while Al, at low voltages, can enhance the conductance beyond that of Cr.

摘要

改善铜和碳纳米管(CNT)之间的界面为有效制造和利用 Cu-CNT 复合材料提供了一种直接的策略,这种复合材料可用于包括微电子、航空航天和运输等各个行业。受 Cu-M-CNT 双金属系统(M = Ni、Cr)结构和电学测量的启发,我们使用第一性原理计算表明,这种复合材料的电导率可以超过纯 Cu-CNT 系统,电流密度甚至可以达到 10 A cm。结果表明,通过创建有利的界面几何形状、增加界面电子态密度和降低接触电阻,适当选择合金元素(M)和接触类型可以促进超导电 Cu-M-CNT 系统的制造。特别是,在 Cu 基体和 CNT 之间使用“端接触”和/或“点接触”的少量 Ni 可以显著改善复合材料的电性能。此外,预测的掺杂 Ni 的 Cu-CNT“地毯”的电导率超过未掺杂系统约 200%。Cr 被证明可以在很宽的温度范围内提高 CNT 的集成度和复合材料的电导率,而 Al 在低电压下可以使电导率超过 Cr。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验