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Empirical Equation Based Chirality (n m) Assignment of Semiconducting Single Wall Carbon Nanotubes from Resonant Raman Scattering Data

机译:基于经验拉曼共振拉曼散射数据的半导体单壁碳纳米管的手性(nm)分配

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摘要

This work presents a technique for the chirality (n, m) assignment of semiconducting single wall carbon nanotubes by solving a set of empirical equations of the tight binding model parameters. The empirical equations of the nearest neighbor hopping parameters, relating the term (2n− m) with the first and second optical transition energies of the semiconducting single wall carbon nanotubes, are also proposed. They provide almost the same level of accuracy for lower and higher diameter nanotubes. An algorithm is presented to determine the chiral index (n, m) of any unknown semiconducting tube by solving these empirical equations using values of radial breathing mode frequency and the first or second optical transition energy from resonant Raman spectroscopy. In this paper, the chirality of 55 semiconducting nanotubes is assigned using the first and second optical transition energies. Unlike the existing methods of chirality assignment, this technique does not require graphical comparison or pattern recognition between existing experimental and theoretical Kataura plot.
机译:这项工作提出了一种技术,通过求解一组紧密结合模型参数的经验方程式,来确定半导体单壁碳纳米管的手性(n,m)。还提出了最接近的邻居跳跃参数的经验方程,将(2n-m)项与半导体单壁碳纳米管的第一和第二光学跃迁能联系起来。它们为直径较小和较大的纳米管提供几乎相同的精度。通过使用径向呼吸模式频率和共振拉曼光谱的第一或第二光学跃迁能的值,通过求解这些经验方程,提出了一种确定任何未知半导体管的手性指数(n,m)的算法。在本文中,使用第一和第二光学跃迁能分配了55个半导体纳米管的手性。与现有的手性分配方法不同,该技术不需要在现有的实验性和理论性的Kataura图之间进行图形比较或模式识别。

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