Monte Carlo study of ordering and domain growth in a class of fcc-alloy models

M. Kessler, W. Dieterich and A. Majhofer

Physica A: Statistical Mechanics and its Applications, 2003, vol. 330, issue 1, 25-30

Abstract: Ordering processes in fcc-alloys with composition A3B (like Cu3Au,Cu3Pd,CoPt3, etc.) are investigated by Monte Carlo simulation within a class of lattice models based on nearest-neighbor (NN) and second-neighbor (NNN) interactions. Using an atom–vacancy exchange algorithm, we study the growth of ordered domains following a temperature quench below the ordering spinodal. For zero NNN-interactions we observe an anomalously slow growth of the domain size L(t)∼tα, where α∼1/4 within our accessible timescales. With increasing NNN-interactions domain growth becomes faster and α gradually approaches the value 12 as predicted by the conventional Lifshitz–Allen–Cahn theory.

Keywords: Ordering kinetics; Domain coarsening; Binary alloys; Monte Carlo (search for similar items in EconPapers)
Date: 2003
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437103006848
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:330:y:2003:i:1:p:25-30

DOI: 10.1016/j.physa.2003.08.021

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().