On the Correlation Between the Self-Organized Island Pattern and Substrate Elastic Anisotropy

Abstract

Self-organized quantum dots pattern depends strongly on the elastic strain energy of the substrate. It is well-known experimentally that for the elastic substrate with a high degree of anisotropy, the epitaxially grown island patterns are different for different growth orientations. In this report, by incorporating the anisotropic strain energy field into a kinetic Monte Carlo algorithm for adatom diffusion, we show that the self-organized island pattern on the surface of an anisotropic substrate is closely correlated to the elastic energy distribution on the surface. The anisotropic substrates studied are GaAs with different growth orientations (001), (111), and (113). An isotropic substrate Iso (001), reduced from GaAs, is also investigated for the purpose of comparison. The island patterns on these substrates with and without elastic strain energy are presented. Besides the effect of substrate anisotropy, different growth parameters, including temperature, coverage, and interruption time, are further investigated to identify the optimal growth values. It is observed that the strain energy field in the substrate is the key factor that controls the island pattern, and that the latter is closely correlated to the substrate orientation (anisotropy). Our simulated patterns are also in qualitative agreement with recent experimental growth results.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2007
Accession Number
ADA466483

Entities

People

  • Ernian Pan
  • Peter W. Chung
  • Richard Zhu

Organizations

  • University of Akron

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Anisotropy
  • Civil Engineering
  • Crystal Structure
  • Crystals
  • Diffusion
  • Intellectual Property
  • Materials
  • Military Research
  • Nanotechnology
  • Orientation (Direction)
  • Physical Properties
  • Physics
  • Quantum Dots
  • Semiconductors
  • Three Dimensional
  • Two Dimensional

Readers

  • Materials Science (Mechanical Engineering).
  • Nanofabrication and Microfabrication.
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.

Technology Areas

  • Quantum Computing