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Computer simulation of the bombardment of a copper film on graphene with argon clusters |
A. Y. Galashev, O. R. Rakhmanova |
Institute of Industrial Ecology, Ural Branch, Russian Academy of Sciences, Sofia Kovalevskaya Str., 20, Yekaterinburg, 620990, Russia |
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Abstract The process of graphene cleaning of a copper film by bombarding it with Ar13 clusters is investigated by the molecular dynamics method. The kinetic energies of the clusters are 5, 10, 20, and 30 eV and the incident angles are θ = 90°, 75°, 60°, 45°, and 0°. It is obtained that the cluster energy should be in the interval 20 eV-30 eV for effective graphene cleaning. There is no cleaning effect at vertical incidence (θ = 0°) of Ar13 clusters. The bombardments at 45° and 90° incident angles are the most effective on a moderate and large amount of deposited copper, respectively.
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Received: 02 July 2014
Revised: 24 September 2014
Accepted manuscript online:
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PACS:
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07.05.Tp
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(Computer modeling and simulation)
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61.48.-c
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(Structure of fullerenes and related hollow and planar molecular structures)
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66.30.Fq
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(Self-diffusion in metals, semimetals, and alloys)
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68.65.Pq
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(Graphene films)
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Fund: Project supported by the Russian Foundation for Basic Research (Grant No. 13-08-00273). |
Corresponding Authors:
A. Y. Galashev
E-mail: alexander-galashev@yandex.ru
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Cite this article:
A. Y. Galashev, O. R. Rakhmanova Computer simulation of the bombardment of a copper film on graphene with argon clusters 2015 Chin. Phys. B 24 020701
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[1] |
Li X, Cai W, An J, Kim S, Nah J, Yang D, Piner R, Velamakanni A, Jung I, Tutuc E, Banerjee S K, Colombo L and Ruoff R S 2009 Science 324 1312
|
[2] |
Siokou A, Ravani F, Karakalos S, Frank O, Kalbac M and Galiotis C 2011 Appl. Surf. Sci. 257 9785
|
[3] |
Ito A and Nakamura H 2008 Commun. Comput. Phys. 4 592
|
[4] |
Inui N, Mochiji K and Moritani K 2008 Nanotechnology 19 505501
|
[5] |
Krasheninnikov A V and Nordlund K 2010 J. Appl. Phys. 107 071301
|
[6] |
Krasheninnikov A V and Banhart F 2007 Nat. Mater. 6 723
|
[7] |
Lehtinen O, Kotakoski J, Krasheninnikov A V, Tolvanen A, Nordlund K and Keinonen J 2010 Phys. Rev. B 81 153401
|
[8] |
Ahlgren E, Kotakoski J, Lehtinen O and Krasheninnikov A V 2012 Appl. Phys. Lett. 100 233108
|
[9] |
Tersoff J 1988 Phys. Rev. Lett. 61 2879
|
[10] |
Stuart S J, Tutein A V and Harrison J A 2000 J. Chem. Phys. 112 6472
|
[11] |
Rafii-Tabar H 2000 Phys. Rep. 325 239
|
[12] |
Oluwajobi A and Chen X 2011 Int. J. Autom. Comp. 8 326
|
[13] |
Teng K L, Hsiao P Y and Hung S W 2008 J. Nanosci. Nanotechnol. 8 3710
|
[14] |
Moore M C, Kalyanasundaram N, Freund J B and Johnson H T 2004 Nucl. Instrum. Method Phys. Res. B 225 241
|
[15] |
Delcorte A and Garrison B J 2000 J. Phys. Chem. B 104 6785
|
[16] |
Xu Z and Buehler M J 2010 J. Phys.: Condens. Matter 22 4853011
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