Dendritic Growth of Co/Cu Nanostructures on Stepped Cu(111) Surface

Self-learning kinetic Monte Carlo simulations are applied to simulate the growth of Co-Cu protrusions near step edges on a Cu(111) substrate at various temperatures, deposition fluxes, and relative concentrations. The shape of the dendritic protrusions depends on the relative concentration of the Co...

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Bibliographic Details
Published inIEEE magnetics letters Vol. 13; pp. 1 - 5
Main Authors Dokukin, Sergei A., Kolesnikov, Sergey V., Saletsky, Alexander M.
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Atomic layer deposition
Copper
Fractal geometry
Fractals
low-dimensional systems
magnetic alloys
magnetism in solids
Metals
Nanomagnetics
nanostructured materials
Nanostructures
numerical methods
Substrates
Surface treatment
Temperature dependence
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Summary:Self-learning kinetic Monte Carlo simulations are applied to simulate the growth of Co-Cu protrusions near step edges on a Cu(111) substrate at various temperatures, deposition fluxes, and relative concentrations. The shape of the dendritic protrusions depends on the relative concentration of the Co atom. The dependence of the fractal dimension of Co-Cu protrusions on the relative concentration of Co atoms can be monotonic or nonmonotonic, depending on temperature. The protrusions have Co backbones, whose fractal dimension differs from the fractal dimension of the entire Co-Cu protrusion.
ISSN:1949-307X
1949-3088
DOI:10.1109/LMAG.2021.3136156