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Dendritic growth of the Pt–Cu islands on Cu(111) surface: Self-learning kinetic Monte Carlo simulationsстатья
Информация о цитировании статьи получена из
Web of Science,
Scopus
Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 23 августа 2019 г.
- Авторы: Dokukin S.A., Kolesnikov S.V., Saletsky A.M.
- Журнал: Surface Science
- Том: 689
- Год издания: 2019
- Издательство: Elsevier BV
- Местоположение издательства: Netherlands
- Первая страница: 121464
- DOI: 10.1016/j.susc.2019.121464
- Аннотация: Growth of the Pt–Cu islands on the Cu(111) surface at different deposition fluxes, relative amounts of Pt atoms and surface temperatures is investigated on the atomic scale by performing the self-learning kinetic Monte-Carlo simulations. The shape transition of the islands from sixfold symmetry to threefold symmetry with increasing of the relative amount of Pt atoms nPt/nCu in clusters at room temperature was found and explained by the corner diffusion anisotropy. Nonmonotonic dependence of the fractal dimension of the dendritic islands on the ratio nPt/nCu is observed. It is shown that this effect can be interpreted in the framework of the generalized diffusion limited aggregation model if we assume that the dependence of the effective diffusion barrier on the ratio nPt/nCu has the third-degree polynomial function form. This dependence is in qualitative agreement with the analysis of the edge diffusion barriers. The dendritic cluster obtained with the simulations at room temperature looks very similar to the experimentally observed one (Soy et al. (2015)).
- Добавил в систему: Докукин Сергей Александрович