Kinetic Monte Carlo simulation of Ni nanowires on Cu(1 0 0) stepped surfaces
In this paper we use Kinetic Monte-Carlo (KMC) simulations based on the solid-on-solid model to determine optimum growth parameters, such as deposition rate F, substrate temperature T and coverage rate θ for growing “perfect” Ni nanowires on Cu(1 0 0) vicinal surfaces. The heteroepitaxial growth of...
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doaj-7aa43ffb1ef245208b8deee51be7ad1a2020-11-25T01:22:04ZengElsevierResults in Physics2211-37972019-03-011214751480Kinetic Monte Carlo simulation of Ni nanowires on Cu(1 0 0) stepped surfacesSonia Blel0Ajmi B.H. Hamouda1Quantum and Statistical Physics Laboratory, Faculty of Science, University of Monastir, Monastir 5019, Tunisia; Corresponding author.Quantum and Statistical Physics Laboratory, Faculty of Science, University of Monastir, Monastir 5019, Tunisia; Department of Physics, University of Maryland, College Park, Maryland 20742-4111, USAIn this paper we use Kinetic Monte-Carlo (KMC) simulations based on the solid-on-solid model to determine optimum growth parameters, such as deposition rate F, substrate temperature T and coverage rate θ for growing “perfect” Ni nanowires on Cu(1 0 0) vicinal surfaces. The heteroepitaxial growth of mono-atomic wires on a Cu surface is performed over a large range of temperature, varying between 50 K and 560 K. We found that ‘perfect’ mono-atomic wires are formed at the step-edge of Cu vicinal surface in the temperature range [400 K−500 K]. Different atomistic mechanisms may intervene in favoring adatom attachment to surface steps, thus allowing nanowires growth. We discussed how the magnitude of the Ehrlich-Schwoebel barrier affects the filling rate and the uniformity of Ni nanowires. Our results were compared to the available experimental and theoretical results and seem advantageous for a better understanding of the nanowires formation. Keywords: Monte-Carlo simulations, Growth, Vicinal surface, Ni nanowires, Cu vicinal surfacehttp://www.sciencedirect.com/science/article/pii/S2211379718329140 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Sonia Blel Ajmi B.H. Hamouda |
spellingShingle |
Sonia Blel Ajmi B.H. Hamouda Kinetic Monte Carlo simulation of Ni nanowires on Cu(1 0 0) stepped surfaces Results in Physics |
author_facet |
Sonia Blel Ajmi B.H. Hamouda |
author_sort |
Sonia Blel |
title |
Kinetic Monte Carlo simulation of Ni nanowires on Cu(1 0 0) stepped surfaces |
title_short |
Kinetic Monte Carlo simulation of Ni nanowires on Cu(1 0 0) stepped surfaces |
title_full |
Kinetic Monte Carlo simulation of Ni nanowires on Cu(1 0 0) stepped surfaces |
title_fullStr |
Kinetic Monte Carlo simulation of Ni nanowires on Cu(1 0 0) stepped surfaces |
title_full_unstemmed |
Kinetic Monte Carlo simulation of Ni nanowires on Cu(1 0 0) stepped surfaces |
title_sort |
kinetic monte carlo simulation of ni nanowires on cu(1 0 0) stepped surfaces |
publisher |
Elsevier |
series |
Results in Physics |
issn |
2211-3797 |
publishDate |
2019-03-01 |
description |
In this paper we use Kinetic Monte-Carlo (KMC) simulations based on the solid-on-solid model to determine optimum growth parameters, such as deposition rate F, substrate temperature T and coverage rate θ for growing “perfect” Ni nanowires on Cu(1 0 0) vicinal surfaces. The heteroepitaxial growth of mono-atomic wires on a Cu surface is performed over a large range of temperature, varying between 50 K and 560 K. We found that ‘perfect’ mono-atomic wires are formed at the step-edge of Cu vicinal surface in the temperature range [400 K−500 K]. Different atomistic mechanisms may intervene in favoring adatom attachment to surface steps, thus allowing nanowires growth. We discussed how the magnitude of the Ehrlich-Schwoebel barrier affects the filling rate and the uniformity of Ni nanowires. Our results were compared to the available experimental and theoretical results and seem advantageous for a better understanding of the nanowires formation. Keywords: Monte-Carlo simulations, Growth, Vicinal surface, Ni nanowires, Cu vicinal surface |
url |
http://www.sciencedirect.com/science/article/pii/S2211379718329140 |
work_keys_str_mv |
AT soniablel kineticmontecarlosimulationofninanowiresoncu100steppedsurfaces AT ajmibhhamouda kineticmontecarlosimulationofninanowiresoncu100steppedsurfaces |
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1725128024879267840 |