论文标题

基于新算法的晶相半导体的全自动光谱椭圆法分析

Fully automated spectroscopic ellipsometry analyses of crystalline-phase semiconductors based on a new algorithm

论文作者

Maeda, Sara, Oiwake, Kohei, Nishigaki, Yukinori, Miyadera, Tetsuhiko, Chikamatsu, Masayuki, Nagai, Takayuki, Aizawa, Takuma, Hanzawa, Kota, Hiramatsu, Hidenori, Hosono, Hideo, Fujiwara, Hiroyuki

论文摘要

光谱椭圆法(SE)技术的一个重要缺点是它耗时且通常是复杂的分析程序,以评估薄膜和散装样品的光学功能。在这里,为了解决传统SE方法的固有问题,我们提出了一种新的通用方式,该方法允许对Crystalline Phase-Semicductor的SE分析进行完全自动化,表现出复杂的吸收特征。特别是,我们修改了先前研究中建立的方案,该方案仅在开始时仅在低能区域进行非线性SE拟合分析,而分析的能量区域则通过结合添加添加的光学过渡峰来逐渐扩展朝着更高的能量扩展。在这项研究中,我们进一步开发了一种独特的分析 - 能源搜索算法,在该算法中,确定适当的分析能源区域以结合新的过渡峰的特征。在开发的方法中,已经确认了对先前的简单方法的急剧改进,以表达由尖锐和广泛的吸收峰组成的复杂介电函数。所提出的方法(Delta M方法)已成功应用于分析基于钙钛矿的结晶样品,包括混合钙钛矿(CH3NH3PBI3)和硫代基型钙钛矿(SRHFS3和BAZRS3)。在对这些半导体的自动分析中,自动引入了7-8个过渡峰来描述样品介电函数,而结构参数(例如薄膜和粗糙度厚度)也同时确定。建立的方法可以大幅度地将分析时间降低到一个允许自动检查每日变化材料光学特性的水平,并大大扩展光谱椭圆法的应用区域。

One significant drawback of a spectroscopic ellipsometry (SE) technique is its time-consuming and often complicated analysis procedure necessary to assess the optical functions of thin-film and bulk samples. Here, to solve this inherent problem of a traditional SE method, we present a new general way that allows full automation of SE analyses for crystalline-phase semiconductors exhibiting complex absorption features. In particular, we have modified a scheme established in our previous study, which performs a non-linear SE fitting analysis only in a low energy region at the beginning, while the analyzed energy region is gradually expanded toward higher energy by incorporating addition optical transition peaks. In this study, we have further developed a unique analyzing-energy search algorithm, in which a proper analyzing-energy region is determined to incorporate the feature of a new transition peak. In the developed method, a drastic improvement over the previous simple approach has been confirmed for expressing complex dielectric functions consisting of sharp and broad absorption peaks. The proposed method (Delta M method) has been applied successfully to analyze perovskite-based crystalline samples, including hybrid perovskite (CH3NH3PbI3) and chalcogenide perovskites (SrHfS3 and BaZrS3). In the automated analyses of these semiconductors, 7-8 transition peaks are introduced automatically to describe sample dielectric functions, while structural parameters, such as thin-film and roughness thicknesses, are also determined simultaneously. The established method can drastically reduce an analysis time to a level that allows the automatic inspection of daily varying material optical properties and expands the application area of spectroscopic ellipsometry considerably.

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