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Cross-correlation based high resolution electron backscatter diffraction and electron channelling contrast imaging for strain mapping and dislocation distributions in InAlN thin films

机译:基于互相关的高分辨率电子反向散射衍射和电子通道对比度成像,用于InAlN薄膜中的应变映射和位错分布

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摘要

We describe the development of cross-correlation based high resolution electron backscatter diffraction (HR-EBSD) and electron channelling contrast imaging (ECCI), in the scanning electron microscope (SEM), to quantitatively map the strain variation and lattice rotation and determine the density and identify dislocations in nitride semiconductor thin films. These techniques can provide quantitative, rapid, non-destructive analysis of the structural properties of materials with a spatial resolution of order of tens of nanometers. HR-EBSD has a sensitivity to changes of strain and rotation of the order of 10−4 and 0.01° respectively, while ECCI can be used to image single dislocations up to a dislocation density of order 1010 cm−2. In the present work, we report the application of the cross-correlation based HR-EBSD approach to determine the tilt, twist, elastic strain and the distribution and type of threading dislocations in InAlN/AlN/GaN high electron mobility transistor (HEMT) structures grown on two different substrates, namely SiC and sapphire. We describe our procedure to estimate the distribution of geometrically necessary dislocations (GND) based on Nye-Kroner analysis and compare them with the direct imaging of threading dislocations (TDs) by ECCI. Combining data from HR-EBSD and ECCI observations allowed the densities of pure edge, mixed and pure screw threading dislocations to be fully separated.
机译:我们在扫描电子显微镜(SEM)中描述了基于互相关的高分辨率电子背散射衍射(HR-EBSD)和电子通道对比度成像(ECCI)的发展,以定量绘制应变变化和晶格旋转并确定密度并确定氮化物半导体薄膜中的位错。这些技术可以以几十纳米的空间分辨率对材料的结构特性进行定量,快速,无损的分析。 HR-EBSD对应变和旋转的敏感度分别为10−4和0.01°量级,而ECCI可用于对单个位错进行成像,直至位错密度为1010 cm-2左右。在当前的工作中,我们报告了基于互相关的HR-EBSD方法在确定InAlN / AlN / GaN高电子迁移率晶体管(HEMT)结构中的倾斜,扭曲,弹性应变以及螺纹位错的分布和类型方面的应用生长在两种不同的衬底上,即SiC和蓝宝石。我们描述了基于Nye-Kroner分析估计几何必要位错(GND)分布的程序,并将其与ECCI对螺纹位错(TDs)的直接成像进行了比较。结合来自HR-EBSD和ECCI观测的数据,可以完全分离纯边缘,混合和纯螺纹位错的密度。

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