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砷化镓覆盖过程中砷化铟量子点和湿层相互作用的定量分析。

Quantitative analysis of the interplay between InAs quantum dots and wetting layer during the GaAs capping process.

机构信息

University Research Institute on Electron Microscopy & Materials, (IMEYMAT) Universidad de Cádiz, E-11510 Puerto Real (Cádiz), Spain.

出版信息

Nanotechnology. 2017 Oct 20;28(42):425702. doi: 10.1088/1361-6528/aa83e2. Epub 2017 Aug 3.

Abstract

A procedure to quantitatively analyse the relationship between the wetting layer (WL) and the quantum dots (QDs) as a whole in a statistical way is proposed. As we will show in the manuscript, it allows determining, not only the proportion of deposited InAs held in the WL, but also the average In content inside the QDs. First, the amount of InAs deposited is measured for calibration in three different WL structures without QDs by two methodologies: strain mappings in high-resolution transmission electron microscopy images and compositional mappings with ChemiSTEM x-ray energy spectrometry. The area under the average profiles obtained by both methodologies emerges as the best parameter to quantify the amount of InAs in the WL, in agreement with high-resolution x-ray diffraction results. Second, the effect of three different GaAs capping layer (CL) growth rates on the decomposition of the QDs is evaluated. The CL growth rate has a strong influence on the QD volume as well as the WL characteristics. Slower CL growth rates produce an In enrichment of the WL if compared to faster ones, together with a diminution of the QD height. In addition, assuming that the QD density does not change with the different CL growth rates, an estimation of the average In content inside the QDs is given. The high Ga/In intermixing during the decomposition of buried QDs does not only trigger a reduction of the QD height, but above all, a higher impoverishment of the In content inside the QDs, therefore modifying the two most important parameters that determine the optical properties of these structures.

摘要

提出了一种定量分析整个湿层(WL)和量子点(QD)之间关系的方法。正如我们将在本文档中展示的那样,它不仅可以确定沉积在 WL 中的 InAs 的比例,还可以确定 QD 内部的平均 In 含量。首先,通过两种方法(高分辨率透射电子显微镜图像中的应变映射和 ChemiSTEM X 射线能谱的成分映射)对没有 QD 的三种不同 WL 结构进行了校准,以测量沉积的 InAs 量。通过这两种方法获得的平均轮廓下的面积被证明是量化 WL 中 InAs 量的最佳参数,与高分辨率 X 射线衍射结果一致。其次,评估了三种不同 GaAs 盖帽层(CL)生长速率对 QD 分解的影响。CL 生长速率对 QD 体积以及 WL 特性有很强的影响。与较快的 CL 生长速率相比,较慢的 CL 生长速率会导致 WL 中的 In 富集,同时 QD 高度减小。此外,假设 QD 密度不会随不同的 CL 生长速率而变化,可以给出 QD 内部平均 In 含量的估计。埋置 QD 分解过程中的高 Ga/In 混入会不仅导致 QD 高度降低,而且更重要的是,导致 QD 内部 In 含量的严重贫化,从而改变了决定这些结构光学性能的两个最重要的参数。

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