Structural investigation of germanium nanoribbons network on Al(110).

IF 2.8 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY
K El Mechyly, A Mehdaoui, M C Hanf, Ph Sonnet, R Stephan, I Deroche, D Dentel, C Pirri
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引用次数: 0

Abstract

The formation of one dimensional semiconductors offers exciting potential for the development of nanoscale devices. Germanium (Ge) nanoribbons can be formed on metallic substrates with specific structural and electronic properties. In this study, we investigate the structure of Ge nanoribbons grown on an Al(110) substrate by molecular beam epitaxy. We used low energy electron diffraction, scanning tunneling microscopy and density functional theory calculations techniques. We show the successful formation of an ordered network of single-width Ge-based nanoribbons, with a (10 × a[-110]) periodicity along the [-110] direction of the Al(110) crystal surface. Individual Ge nanoribbons structure is determined via an energetic theoretical study based on Ge chemical potential, and a comparison of calculated and experimental images to validate a stacked dimers model.

Al上锗纳米带网络的结构研究。
一维(1D)半导体的形成为纳米级器件的发展提供了令人兴奋的潜力。锗(Ge)纳米带可以在具有特定结构和电子性能的金属衬底上形成。在这项研究中,我们研究了分子束外延(MBE)在Al(110)衬底上生长的Ge纳米带的结构。我们使用了低能电子衍射(LEED)、扫描隧道显微镜(STM)和密度泛函理论(DFT)计算技术。我们成功地形成了单宽锗基纳米带的有序网络,沿Al(110)晶体表面的[-110]方向具有(10 × a[-110])周期性。通过基于Ge化学势的能量理论研究确定了单个Ge纳米带的结构,并将计算图像与实验图像进行了比较,以验证堆叠二聚体模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nanotechnology
Nanotechnology 工程技术-材料科学:综合
CiteScore
7.10
自引率
5.70%
发文量
820
审稿时长
2.5 months
期刊介绍: The journal aims to publish papers at the forefront of nanoscale science and technology and especially those of an interdisciplinary nature. Here, nanotechnology is taken to include the ability to individually address, control, and modify structures, materials and devices with nanometre precision, and the synthesis of such structures into systems of micro- and macroscopic dimensions such as MEMS based devices. It encompasses the understanding of the fundamental physics, chemistry, biology and technology of nanometre-scale objects and how such objects can be used in the areas of computation, sensors, nanostructured materials and nano-biotechnology.
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