53
Views
2
CrossRef citations to date
0
Altmetric
Original Articles

Diffusion kinetics of isolated and paired species: a Monte Carlo study

, , &
Pages 2787-2798 | Received 30 Dec 2004, Accepted 17 Mar 2005, Published online: 21 Feb 2007
 

Abstract

In this paper, we address a four-frequency diffusion model that allows diffusion of paired and unpaired atoms (or small molecular species) in an otherwise empty lattice. The model is useful for describing tracer and collective diffusion of interstitials in dilute interstitial solid solutions and of adsorbed species on surfaces. Diffusion kinetics of this model have been treated analytically by McKee, Le Claire and Okamura and Allnatt. We use Monte Carlo computer simulation to calculate, for the first time, the correlation factors and the linear solute diffusion enhancement factor. Absolute values of the tracer correlation factors and the linear enhancement factors are in excellent agreement with the results of the theory of Okamura and Allnatt, but only in semi-quantitative agreement with results of the other theory. A general argument is also presented to show that the chemical diffusion coefficient does not exhibit correlation effects. This is verified by computer simulation.

Acknowledgements

We wish to thank the Australian Research Council for its support of this research under the Discovery Project Grants Scheme. One of us (I.V.B.) wishes to thank the Australian Research Council for the award of a Professorial Fellowship.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 786.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.