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A Kinetic Monte Carlo Approach for Self-Diffusion of Pt Atom Clusters on a Pt(111) Surface

Published online by Cambridge University Press:  20 August 2015

R. Deák,
Z. Néda and
P. B. Barna
R. Deák
Affiliation:
Department of Theoretical and Computational Physics, Babeş-Bolyai University, RO-400084, Cluj-Napoca, RomaniaDepartment of Materials Physics, Eötvös Loránd University, Н-1117, Budapest, Hungary
Z. Néda*
Affiliation:
Department of Theoretical and Computational Physics, Babeş-Bolyai University, RO-400084, Cluj-Napoca, Romania
P. B. Barna
Affiliation:
Department of Theoretical and Computational Physics, Babeş-Bolyai University, RO-400084, Cluj-Napoca, RomaniaKFKI-MFA, Research Institute for Technical Physics and Materials Science, H-1525, Budapest, Hungary
*
*Corresponding author.Email:zneda@phys.ubbcluj.ro
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Abstract

A lattice Kinetic Monte Carlo (KMC) approach is considered to study the statistical properties of the diffusion of Pt atom clusters on a Pt(111) surface. The interatomic potential experienced by the diffusing atoms is calculated by the embedded atom method and the hopping barrier for the allowed atomic movements are calculated using the Nudged Elastic Band method. The diffusion coefficient is computed for various cluster sizes and system temperatures. The obtained results are in agreement with the ones obtained in previous experimental and theoretical works. A simple scaling argument is proposed for the size dependence of the diffusion coefficient’s pre-factor. A detailed statistical analysis of the event by event KMC dynamics reveals two important and co-existing mechanisms for the diffusion of the cluster’s center of mass. At low temperatures (below T = 400K) the dominating mechanism responsible for the displacement of the cluster’s center of mass is the periphery (or edge) diffusion of the atoms. At high temperatures (above T = 800K) the dissociation and recombination of the clusters becomes more and more important.

Keywords

05.10.-a68.35.Fx68.43.JkKinetic Monte Carlo methodssurface diffusiondiffusion coefficient

Information

Type
Research Article
Information
Communications in Computational Physics , Volume 10 , Issue 4 , October 2011, pp. 920 - 939
Copyright
Copyright © Global Science Press Limited 2011

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