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Multiparameter Imaging and Understanding the Role of the Tip - Atomic Resolution Images of Rutile TiO_2 (110)

机译:多参数成像并了解金红石TiO_2(110)的尖端-原子分辨率图像的作用

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摘要

A major challenge for scanned probe microscopy is to identify structures and chemical species on a surface, which have not already been inferred from other analytical techniques. Progress is impeded by the fact that in general the structure and composition of the tip atom is not known. To illustrate some of the issues involved, we report simultaneous scanning tunneling microscopy/atomic force microscopy (STM/AFM) of the TiO_2 (110) surface. The use of small amplitudes enabled the simultaneous acquisition of force gradient and barrier height images during standard STM imaging. Surprisingly, we find most STM images exhibit a corrugation contrast inverse to that usually reported in the literature. However, regardless of the contrast in STM, force gradient images always showed greater attraction over O rows. Barrier height images also show this consistency, always being greater over O rows. This supports the theoretical model of the electronic structure of the surface, but shows that the tip structure and interaction cannot be ignored in modeling STM images. We conclude that there is a fine balance between topography and local density of states (LDOS) in STM imaging of this surface; which of them dominates the STM image is determined by the tip. Simultaneous multi-parameter imaging is useful in interpreting images reliably, particularly on multi-component surfaces.
机译:扫描探针显微镜的主要挑战是识别表面上的结构和化学物种,而这些结构和化学物种尚未从其他分析技术中推断出来。通常,尖端原子的结构和组成是未知的,这阻碍了进步。为了说明其中涉及的一些问题,我们报告了TiO_2(110)表面的同时扫描隧道显微镜/原子力显微镜(STM / AFM)。使用小振幅可以在标准STM成像期间同时获取力梯度和势垒高度图像。出乎意料的是,我们发现大多数STM图像显示的波纹对比度与文献中通常报道的相反。但是,无论STM中的对比度如何,力梯度图像始终在O行上显示出更大的吸引力。障碍物高度图像也显示出这种一致性,在O行上始终更大。这支持了表面电子结构的理论模型,但表明在STM图像建模中不能忽略尖端结构和相互作用。我们得出的结论是,在该表面的STM成像中,形貌与局部状态密度(LDOS)之间存在良好的平衡;由尖端确定它们中哪个占主导地位。同时进行多参数成像可用于可靠地解释图像,尤其是在多组件表面上。

著录项

  • 来源
  • 会议地点 Boston MA(US);Boston MA(US)
  • 作者单位

    Centre for Research on Adaptive Nanostructures and Nanodevices (CRANN) and School of Physics, Trinity College, Dublin 2, Ireland;

    Centre for Research on Adaptive Nanostructures and Nanodevices (CRANN) and School of Physics, Trinity College, Dublin 2, Ireland;

    Centre for Research on Adaptive Nanostructures and Nanodevices (CRANN) and School of Physics, Trinity College, Dublin 2, Ireland;

    Centre for Research on Adaptive Nanostructures and Nanodevices (CRANN) and School of Physics, Trinity College, Dublin 2, Ireland;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 半导体技术;
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