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Abstract
The presence of icosahedral ordering in liquid copper at temperatures close to the melting point is now well-established both experimentally and through computer simulation. However, a more elaborate analysis of local icosahedral and icosahedron-like structures, together with a system for classifying such structures based on some measure of "icosahedrity", has so far been conspicuously absent in the literature. Similarly, the dynamics of these structures has not yet received the attention it merits. We present a new method for structural analysis, which combines Voronoi analysis with bond-orientational order parameters, and apply it to liquid Cu configurations obtained from tight-binding molecular dynamics at a range of temperatures near the melting point. We introduce a clear system for classifying local structures according to their degree of similarity to the perfect icosahedron, and show how their energies of formation correlate with our structural descriptor. We examine the frequencies of occurrence for the classes of Voronoi polyhedra we distinguish, calculate their lifetimes, and establish the temperature dependence of these properties. We explore the dynamics of icosahedron-like structures by examining how individual classes transform between one another. Finally, we perform structural correlation analysis, demonstrating, among other things, that icosahedra and icosahedron-like structures preferentially connect and show a tendency towards clustering. We believe our approach can be readily applied in studies of icosahedral ordering in liquid metals or metallic glasses.
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- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
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COMPUTATIONAL MATERIALS SCIENCE
no. 166,
pages 57 - 74,
ISSN: 0927-0256 - Language:
- English
- Publication year:
- 2019
- Bibliographic description:
- Winczewski S., Dziedzic J., Rybicki J.: In-depth characterization of icosahedral ordering in liquid copper// COMPUTATIONAL MATERIALS SCIENCE. -Vol. 166, (2019), s.57-74
- DOI:
- Digital Object Identifier (open in new tab) 10.1016/j.commatsci.2019.03.038
- Verified by:
- Gdańsk University of Technology
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