Centre for Collaborative Research, National Institute of Technology, Anan College, Anan, Tokushima, Japan.
EPSRC National Centre for III-V Technologies, Department of Electronic and Electrical Engineering, University of Sheffield, Mappin Street, Sheffield, S1 3JD, United Kingdom.
Sci Rep. 2017 Feb 13;7:42606. doi: 10.1038/srep42606.
The lateral ordering of arrays of self-assembled InAs-GaAs quantum dots (QDs) has been quantified as a function of growth rate, using the Hopkins-Skellam index (HSI). Coherent QD arrays have a spatial distribution which is neither random nor ordered, but intermediate. The lateral ordering improves as the growth rate is increased and can be explained by more spatially regular nucleation as the QD density increases. By contrast, large and irregular 3D islands are distributed randomly on the surface. This is consistent with a random selection of the mature QDs relaxing by dislocation nucleation at a later stage in the growth, independently of each QD's surroundings. In addition we explore the statistical variability of the HSI as a function of the number N of spatial points analysed, and we recommend N > 10 to reliably distinguish random from ordered arrays.
自组装的 InAs-GaAs 量子点(QD)阵列的横向有序性已被作为生长速率的函数进行了定量分析,使用的是霍普金斯-斯凯伦指数(HSI)。相干 QD 阵列的空间分布既不是随机的也不是有序的,而是介于两者之间。随着生长速率的增加,横向有序性得到改善,这可以解释为随着 QD 密度的增加,空间上的成核更加规则。相比之下,大而不规则的 3D 岛则随机分布在表面上。这与成熟 QD 通过位错成核在生长后期独立于每个 QD 的环境进行随机弛豫的选择是一致的。此外,我们还研究了 HSI 的统计可变性作为分析的空间点数量 N 的函数,并建议 N>10 以可靠地区分随机和有序的阵列。