Energy-based Structure Prediction for d(Al70Co20Ni10)
Nan Gu (1,2), M. Mihalkovic (1,3), and C. L. Henley (1) ((1) Cornell, U. (2) current M.I.T., (3) perm.Slovak Acad.Sci.)

TL;DR
This paper presents an energy minimization approach combined with Monte Carlo and molecular dynamics simulations to predict the structure of the decagonal quasicrystal d(AlCoNi), revealing characteristic five-fold symmetric clusters.
Contribution
The study introduces a novel energy-based method integrating multiple simulation techniques to accurately predict quasicrystal structures.
Findings
Identification of five-fold symmetric decagons 12.8 Å in diameter.
Discovery of smaller pseudo-five-fold symmetric clusters filling the structure.
Comparison with experimental approximant structure model.
Abstract
We use energy minimization principles to predict the structure of a decagonal quasicrystal - d(AlCoNi) - in the Cobalt-rich phase. Monte Carlo methods are then used to explore configurations while relaxation and molecular dynamics are used to obtain a more realistic structure once a low energy configuration has been found. We find five-fold symmetric decagons 12.8 A in diameter as the characteristic formation of this composition, along with smaller pseudo-five-fold symmetric clusters filling the spaces between the decagons. We use our method to make comparisons with a recent experimental approximant structure model from Sugiyama et al (2002).
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