Computational study of tetrahedral Al-Si ordering in muscovite

E. J. Palin, M. T. Dove*, S. A.T. Redfern, A. Bosenick, C. I. Sainz-Diaz, M. C. Warren

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

52 Citations (Scopus)

Abstract

The nature of Al-Si ordering across the tetrahedral sites in muscovite, computational techniques. Values of the atomic exchange interaction parameters J1 were obtained. From these parameters, a two-dimensional Al-Si ordering scheme was deduced. The transition temperature Tc for this two-dimensional ordering is 1900 K. These are several possible ordering schemes in three dimensions, based on different stacking sequences of ordered sheets of tetrahedral sites. Monte Carlo simulations of both two-dimensional and three-dimensional ordering were performed, but in the three-dimensional simulation only the two-dimensional ordering is seen, implying that three-dimensional ordering is too slow to be attained during the timescale of the simulation. The effect of the three-dimensional interactions is to raise the two-dimensional ordering temperature to 2140 K. From the three-dimensional Monte Carlo simulation, the frequency of occurrence of 4SiOAl, 3Si1Al, 2Si2Al and 1Si3Al clusters was determined, which match those inferred by 29Si MAS-NMR measurements reasonably well. In fact, the match suggests that the cation ordering seen in experiments corresponds to a configuration with considerable short-range order but no long-range order, similar to a state that is at a temperature just above an ordering phase transition.

Original languageEnglish
Pages (from-to)534-544
Number of pages11
JournalPhysics and Chemistry of Minerals
Volume28
Issue number8
DOIs
Publication statusPublished - 2001
Externally publishedYes

ASJC Scopus Subject Areas

  • General Materials Science
  • Geochemistry and Petrology

Keywords

  • Al-Si ordering
  • Layer silicates
  • Monte Carlo simulations
  • Muscovite
  • Phase transitions

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