Carbon含硼杂质原子的纳米结构:合成、物理化学性质和潜在应用

S. Boroznin
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引用次数: 2

摘要

在碳纳米管中引入取代原子是控制其物理化学性质的有效工具,可以扩大其实际应用范围。硼是碳纳米管改性中最有前途的材料之一。然而,到目前为止,硼杂质原子对碳纳米管性能影响的研究数据还没有系统化,这限制了这种纳米材料的潜在工业应用。本文讨论了目前最有效的含硼杂质碳纳米管的合成方法,并分析了所得纳米材料的物理化学性质。在现有理论和实验结果的基础上,对其潜在的应用领域进行了预测。经比较表明,催化气相沉积法是最有效的合成方法。综述了硼碳纳米管的机械、电子和化学性能。为了更全面地分析碳纳米管的物理化学性质与硼杂质浓度的关系,采用量子力学仪器进行了模型实验,结果表明材料的带隙与硼杂质原子数之间存在直接关系。概述了含硼碳纳米管的主要实际应用趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Carbon nanostructures containing boron impurity atoms: synthesis, physicochemical properties and potential applications
Introduction of substitution atoms into carbon nanotubes is an efficient tool of controlling their physicochemical properties which allows one to expand their practical applications. Boron is one of the most promising materials used for the modification of carbon nanotubes. However until now there has been no systematization of research data on the effect of boron impurity atoms on the properties of carbon nanotubes, and this limits potential industrial applications of this nanomaterial. In this work the most efficient currently existing methods of synthesizing carbon nanotubes containing boron impurity atoms have been discussed and the physicochemical properties of the obtained nanomaterials have been analyzed. Furthermore predictions as to their potential application domains have been made on the basis of available theoretical and experimental results. Comparison of the developed technologies has shown that the most efficient synthesis method is the catalytic vapor phase deposition. The mechanical, electronic and chemical properties of boron-carbon nanotubes have also been reviewed. For a more comprehensive analysis of the dependence of the physicochemical properties of carbon nanotubes on the concentration of boron impurity a model experiment has been carried out involving quantum mechanics instruments which has shown a direct correlation between the band gap of the material and the number of boron impurity atoms. The main practical application trends of boron-containing carbon nanotubes have been outlined.
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CiteScore
0.60
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