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Title: Statistical analysis of AFM topographic images of self-assembled quantum dots

To obtain statistical data on quantum-dot sizes, AFM topographic images of the substrate on which the dots under study are grown are analyzed. Due to the nonideality of the substrate containing height differences on the order of the size of nanoparticles at distances of 1-10 {mu}m and the insufficient resolution of closely arranged dots due to the finite curvature radius of the AFM probe, automation of the statistical analysis of their large dot array requires special techniques for processing topographic images to eliminate the loss of a particle fraction during conventional processing. As such a technique, convolution of the initial matrix of the AFM image with a specially selected matrix is used. This makes it possible to determine the position of each nanoparticle and, using the initial matrix, to measure their geometrical parameters. The results of statistical analysis by this method of self-assembled InAs quantum dots formed on the surface of an AlGaAs epitaxial layer are presented. It is shown that their concentration, average size, and half-width of height distribution depend strongly on the In flow and total amount of deposited InAs which are varied within insignificant limits.
Authors:
; ; ; ; ; ; ;  [1]
  1. Russian Academy of Sciences, Ioffe Physical-Technical Institute (Russian Federation)
Publication Date:
OSTI Identifier:
22121705
Resource Type:
Journal Article
Resource Relation:
Journal Name: Semiconductors; Journal Volume: 47; Journal Issue: 7; Other Information: Copyright (c) 2013 Pleiades Publishing, Ltd.; http://www.springer-ny.com; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; ALUMINIUM ARSENIDES; ATOMIC FORCE MICROSCOPY; DEPOSITS; DISTRIBUTION; EPITAXY; GALLIUM ARSENIDES; IMAGES; INDIUM ARSENIDES; LAYERS; QUANTUM DOTS; STATISTICAL DATA; SURFACES