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Superlattice Growth via MBE and Green’s Function Techniques

A model has been developed to simulate the growth of arrays consisting of a substrate on which alternating layers of quantum dots (QDs) and spacer layers are epitaxially grown. The substrate and spacer layers are modeled as an anisotropic elastic half-space, and the QDs are modeled as point inclusio...

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Detalles Bibliográficos
Autores principales: Ramsey, JJ, Pan, Ernian, Chung, Peter W, Wang, Zhiming M
Formato: Texto
Lenguaje:English
Publicado: Springer 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2897040/
https://www.ncbi.nlm.nih.gov/pubmed/20676205
http://dx.doi.org/10.1007/s11671-010-9636-8
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author Ramsey, JJ
Pan, Ernian
Chung, Peter W
Wang, Zhiming M
author_facet Ramsey, JJ
Pan, Ernian
Chung, Peter W
Wang, Zhiming M
author_sort Ramsey, JJ
collection PubMed
description A model has been developed to simulate the growth of arrays consisting of a substrate on which alternating layers of quantum dots (QDs) and spacer layers are epitaxially grown. The substrate and spacer layers are modeled as an anisotropic elastic half-space, and the QDs are modeled as point inclusions buried within the half-space. In this model, the strain at the free surface of this half-space due to the buried point QDs is calculated, and a scalar measure of the strain at the surface is subsequently determined. New point QDs are placed on the surface where the previously calculated scalar strain measure is a minimum. Following available DFT results, this scalar strain measure is a weighted average of the in-plane strains. This model is constructed under the assumption that diffusional anisotropy can be neglected, and thus, the results are more in agreement with results from experiments of growth of SiGe QDs than experiments involving QDs of (In,Ga)As.
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spelling pubmed-28970402010-07-29 Superlattice Growth via MBE and Green’s Function Techniques Ramsey, JJ Pan, Ernian Chung, Peter W Wang, Zhiming M Nanoscale Res Lett Nano Express A model has been developed to simulate the growth of arrays consisting of a substrate on which alternating layers of quantum dots (QDs) and spacer layers are epitaxially grown. The substrate and spacer layers are modeled as an anisotropic elastic half-space, and the QDs are modeled as point inclusions buried within the half-space. In this model, the strain at the free surface of this half-space due to the buried point QDs is calculated, and a scalar measure of the strain at the surface is subsequently determined. New point QDs are placed on the surface where the previously calculated scalar strain measure is a minimum. Following available DFT results, this scalar strain measure is a weighted average of the in-plane strains. This model is constructed under the assumption that diffusional anisotropy can be neglected, and thus, the results are more in agreement with results from experiments of growth of SiGe QDs than experiments involving QDs of (In,Ga)As. Springer 2010-05-19 /pmc/articles/PMC2897040/ /pubmed/20676205 http://dx.doi.org/10.1007/s11671-010-9636-8 Text en Copyright © 2010 The Author(s) https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
spellingShingle Nano Express
Ramsey, JJ
Pan, Ernian
Chung, Peter W
Wang, Zhiming M
Superlattice Growth via MBE and Green’s Function Techniques
title Superlattice Growth via MBE and Green’s Function Techniques
title_full Superlattice Growth via MBE and Green’s Function Techniques
title_fullStr Superlattice Growth via MBE and Green’s Function Techniques
title_full_unstemmed Superlattice Growth via MBE and Green’s Function Techniques
title_short Superlattice Growth via MBE and Green’s Function Techniques
title_sort superlattice growth via mbe and green’s function techniques
topic Nano Express
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2897040/
https://www.ncbi.nlm.nih.gov/pubmed/20676205
http://dx.doi.org/10.1007/s11671-010-9636-8
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