IEEE Magnetics Letters, volume 13, pages 1-5
Dendritic Growth of Co/Cu Nanostructures on Stepped Cu(111) Surface
Publication type: Journal Article
Publication date: 2022-01-01
Journal:
IEEE Magnetics Letters
Q3
Q4
SJR: 0.314
CiteScore: 2.4
Impact factor: 1.1
ISSN: 1949307X, 19493088
Electronic, Optical and Magnetic Materials
Abstract
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.
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Dokukin S. A., Kolesnikov S. V., Saletsky A. M. Dendritic Growth of Co/Cu Nanostructures on Stepped Cu(111) Surface // IEEE Magnetics Letters. 2022. Vol. 13. pp. 1-5.
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Dokukin S. A., Kolesnikov S. V., Saletsky A. M. Dendritic Growth of Co/Cu Nanostructures on Stepped Cu(111) Surface // IEEE Magnetics Letters. 2022. Vol. 13. pp. 1-5.
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TY - JOUR
DO - 10.1109/lmag.2021.3136156
UR - https://doi.org/10.1109/lmag.2021.3136156
TI - Dendritic Growth of Co/Cu Nanostructures on Stepped Cu(111) Surface
T2 - IEEE Magnetics Letters
AU - Dokukin, S A
AU - Kolesnikov, Sergei V.
AU - Saletsky, Alexander M.
PY - 2022
DA - 2022/01/01
PB - Institute of Electrical and Electronics Engineers (IEEE)
SP - 1-5
VL - 13
SN - 1949-307X
SN - 1949-3088
ER -
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@article{2022_Dokukin,
author = {S A Dokukin and Sergei V. Kolesnikov and Alexander M. Saletsky},
title = {Dendritic Growth of Co/Cu Nanostructures on Stepped Cu(111) Surface},
journal = {IEEE Magnetics Letters},
year = {2022},
volume = {13},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
month = {jan},
url = {https://doi.org/10.1109/lmag.2021.3136156},
pages = {1--5},
doi = {10.1109/lmag.2021.3136156}
}
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