Multiscale Kinetic Monte Carlo Simulation of Self-Organized Growth of GaN/AlN Quantum Dots

A three-dimensional kinetic Monte Carlo methodology is developed to study the strained epitaxial growth of wurtzite GaN/AlN quantum dots. It describes the kinetics of effective GaN adatoms on an hexagonal lattice. The elastic strain energy is evaluated by a purposely devised procedure: first, we tak...

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Main Authors: Jorge A. Budagosky, Alberto García-Cristóbal
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Nanomaterials
Subjects:
Online Access:https://www.mdpi.com/2079-4991/12/17/3052
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author Jorge A. Budagosky
Alberto García-Cristóbal
author_facet Jorge A. Budagosky
Alberto García-Cristóbal
author_sort Jorge A. Budagosky
collection DOAJ
description A three-dimensional kinetic Monte Carlo methodology is developed to study the strained epitaxial growth of wurtzite GaN/AlN quantum dots. It describes the kinetics of effective GaN adatoms on an hexagonal lattice. The elastic strain energy is evaluated by a purposely devised procedure: first, we take advantage of the fact that the deformation in a lattice-mismatched heterostructure is equivalent to that obtained by assuming that one of the regions of the system is subjected to a properly chosen uniform stress (Eshelby inclusion concept), and then the strain is obtained by applying the Green’s function method. The standard Monte Carlo method has been modified to implement a multiscale algorithm that allows the isolated adatoms to perform long diffusion jumps. With these state-of-the art modifications, it is possible to perform efficiently simulations over large areas and long elapsed times. We have taylored the model to the conditions of molecular beam epitaxy under N-rich conditions. The corresponding simulations reproduce the different stages of the Stranski–Krastanov transition, showing quantitative agreement with the experimental findings concerning the critical deposition, and island size and density. The influence of growth parameters, such as the relative fluxes of Ga and N and the substrate temperature, is also studied and found to be consistent with the experimental observations. In addition, the growth of stacked layers of quantum dots is also simulated and the conditions for their vertical alignment and homogenization are illustrated. In summary, the developed methodology allows one to reproduce the main features of the self-organized quantum dot growth and to understand the microscopic mechanisms at play.
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spelling doaj.art-5d39bdd3a46840cf926cb6a5bccec2322023-11-23T13:50:04ZengMDPI AGNanomaterials2079-49912022-09-011217305210.3390/nano12173052Multiscale Kinetic Monte Carlo Simulation of Self-Organized Growth of GaN/AlN Quantum DotsJorge A. Budagosky0Alberto García-Cristóbal1Nanotechnology on Surfaces and Plasma Group, Materials Science Institute of Seville (CSIC-US), C/ Américo Vespucio 49, 41092 Seville, SpainInstituto de Ciencia de los Materiales (ICMUV), Universidad de Valencia, C/ Catedràtic José Beltrán 2, 46980 Paterna, SpainA three-dimensional kinetic Monte Carlo methodology is developed to study the strained epitaxial growth of wurtzite GaN/AlN quantum dots. It describes the kinetics of effective GaN adatoms on an hexagonal lattice. The elastic strain energy is evaluated by a purposely devised procedure: first, we take advantage of the fact that the deformation in a lattice-mismatched heterostructure is equivalent to that obtained by assuming that one of the regions of the system is subjected to a properly chosen uniform stress (Eshelby inclusion concept), and then the strain is obtained by applying the Green’s function method. The standard Monte Carlo method has been modified to implement a multiscale algorithm that allows the isolated adatoms to perform long diffusion jumps. With these state-of-the art modifications, it is possible to perform efficiently simulations over large areas and long elapsed times. We have taylored the model to the conditions of molecular beam epitaxy under N-rich conditions. The corresponding simulations reproduce the different stages of the Stranski–Krastanov transition, showing quantitative agreement with the experimental findings concerning the critical deposition, and island size and density. The influence of growth parameters, such as the relative fluxes of Ga and N and the substrate temperature, is also studied and found to be consistent with the experimental observations. In addition, the growth of stacked layers of quantum dots is also simulated and the conditions for their vertical alignment and homogenization are illustrated. In summary, the developed methodology allows one to reproduce the main features of the self-organized quantum dot growth and to understand the microscopic mechanisms at play.https://www.mdpi.com/2079-4991/12/17/3052kinetic Monte CarloheteroepitaxyStranski-Krastanov growth modestrain relaxationIII-N semiconductorsgallium nitride
spellingShingle Jorge A. Budagosky
Alberto García-Cristóbal
Multiscale Kinetic Monte Carlo Simulation of Self-Organized Growth of GaN/AlN Quantum Dots
Nanomaterials
kinetic Monte Carlo
heteroepitaxy
Stranski-Krastanov growth mode
strain relaxation
III-N semiconductors
gallium nitride
title Multiscale Kinetic Monte Carlo Simulation of Self-Organized Growth of GaN/AlN Quantum Dots
title_full Multiscale Kinetic Monte Carlo Simulation of Self-Organized Growth of GaN/AlN Quantum Dots
title_fullStr Multiscale Kinetic Monte Carlo Simulation of Self-Organized Growth of GaN/AlN Quantum Dots
title_full_unstemmed Multiscale Kinetic Monte Carlo Simulation of Self-Organized Growth of GaN/AlN Quantum Dots
title_short Multiscale Kinetic Monte Carlo Simulation of Self-Organized Growth of GaN/AlN Quantum Dots
title_sort multiscale kinetic monte carlo simulation of self organized growth of gan aln quantum dots
topic kinetic Monte Carlo
heteroepitaxy
Stranski-Krastanov growth mode
strain relaxation
III-N semiconductors
gallium nitride
url https://www.mdpi.com/2079-4991/12/17/3052
work_keys_str_mv AT jorgeabudagosky multiscalekineticmontecarlosimulationofselforganizedgrowthofganalnquantumdots
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