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Discrete Measurement Data Analysis: A new Method to Characterize Structured Surfaces on Atomic Scale

机译:离散测量数据分析:一种新方法,用于在原子尺度上表征结构化表面

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摘要

Future manufacturing on atomic scale will imply a metrology that no longer relies on common roughness parameters but considers atomic features, e.g. the crystal structure of the surface, the location of atomic point defects and cluster formations. In this paper a new method to extract these functional and structure oriented surface characteristics is proposed. It is based on the discrete analysis of continuous data measured by STM or AFM. Instead of analysing continuous data and calculating two- and three-dimensional parameters like RMS, R_(a), S_(q) and S_(z) by intersecting the surface, mathematical and image processing methods are applied to the STM and AFM images to achieve functional and structural data.
机译:原子标度的未来制造意味着不再依赖于共同粗糙度参数的计量学,而是考虑原子特征,例如原子特征。表面的晶体结构,原子点缺陷和簇形成的位置。在本文中,提出了一种提取这些功能和结构定向表面特性的新方法。它基于由STM或AFM测量的连续数据的离散分析。通过与表面相交,将数学和图像处理方法应用于STM和AFM图像,而不是分析连续数据并计算像RMS,R_(A),S_(Q)和S_(Z)等连续数据和三维参数。实现功能和结构数据。

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