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使用基尼系数对周期性表面进行客观均匀性量化。

Objective homogeneity quantification of a periodic surface using the Gini coefficient.

作者信息

Lechthaler Björn, Pauly Christoph, Mücklich Frank

机构信息

Department of Materials Science & Engineering, Institute for Functional Materials, Saarland University, Campus D3.3, 66123, Saarbrücken, Germany.

出版信息

Sci Rep. 2020 Sep 3;10(1):14516. doi: 10.1038/s41598-020-70758-9.

DOI:10.1038/s41598-020-70758-9
PMID:32883993
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7471118/
Abstract

The significance of periodic surface structuring methods, such as direct laser interference patterning, is growing steadily. Thus, the ability to objectively and consistently evaluate these surfaces is increasingly important. Standard parameters such as surface roughness or the arithmetic average height are meant to quantify the deviation of a real surface from an ideally flat one. Periodically patterned surfaces, however, are an intentional deviation from that ideal. Therefore, their surface profile has to be separated into a periodic and a non-periodic part. The latter can then be analyzed using the established surface parameters and the periodic nature allows a quantification of structure homogeneity, e.g. based on Gini coefficient. This work presents a new combination of established methods to reliably and objectively evaluate periodic surface quality. For this purpose, the periodicity of a given surface is extracted by Fourier analysis, and its homogeneity with respect to a particular property is determined for the repeating element via a Gini analysis. The proposed method provides an objective and reliable instrument for evaluating the surface quality for the selected attribute regardless of the user. Additionally, this technique can potentially be used to both identify a suitable surface structuring technique and determine the optimal process parameters.

摘要

诸如直接激光干涉图案化等周期性表面结构化方法的重要性正在稳步提升。因此,客观且一致地评估这些表面的能力变得越来越重要。诸如表面粗糙度或算术平均高度等标准参数旨在量化实际表面与理想平面的偏差。然而,周期性图案化表面是有意偏离该理想状态的。因此,它们的表面轮廓必须被分离为周期性部分和非周期性部分。然后可以使用既定的表面参数分析后者,而周期性则允许对结构均匀性进行量化,例如基于基尼系数。这项工作提出了一种新的既定方法组合,以可靠且客观地评估周期性表面质量。为此,通过傅里叶分析提取给定表面的周期性,并通过基尼分析为重复元素确定其相对于特定属性的均匀性。所提出的方法为评估所选属性的表面质量提供了一种客观且可靠的工具,而与用户无关。此外,该技术有可能用于识别合适的表面结构化技术并确定最佳工艺参数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4989/7471118/6d1ac023831d/41598_2020_70758_Fig14_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4989/7471118/6d1ac023831d/41598_2020_70758_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4989/7471118/b4612196cf42/41598_2020_70758_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4989/7471118/f8c72cfda611/41598_2020_70758_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4989/7471118/d30b577106dc/41598_2020_70758_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4989/7471118/1b0d6727037a/41598_2020_70758_Fig4_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4989/7471118/de0c5bbc1971/41598_2020_70758_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4989/7471118/1467be285bdf/41598_2020_70758_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4989/7471118/f7c6177667de/41598_2020_70758_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4989/7471118/890a8b4fa578/41598_2020_70758_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4989/7471118/79720c1798ac/41598_2020_70758_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4989/7471118/da0121c1ddb5/41598_2020_70758_Fig11_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4989/7471118/9fec523ae935/41598_2020_70758_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4989/7471118/6d1ac023831d/41598_2020_70758_Fig14_HTML.jpg

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Efficiency enhancement of organic solar cells by fabricating periodic surface textures using direct laser interference patterning.
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