Computer Modeling of the Formation Process of Core-Shell Nanoparticles Cu@Si

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Abstract:

The process of nanoparticle Cu@Si formation by the molecular dynamic method using MEAM-potentials was studied. Modeling the droplet behavior demonstrates that a core-shell structure with a copper core and a silicon shell can be formed if the drop is in the liquid state, until the material is finally redistributed. The parameters of thermal stability of Cu@Si composite nanoparticles of different sizes have been determined. It is concluded that as the temperature increases, the diffusion of copper atoms to the surface begins, which leads to a change in the structure and the formation of particles with a core of the Cu@Si type.

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Solid State Phenomena (Volume 271)

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47-50

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January 2018

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© 2018 Trans Tech Publications Ltd. All Rights Reserved

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[1] R.G. Chaudhuri, S. Paria, Core/shell nanoparticles: classes, properties, synthesis mechanisms, characterization, and applications, Chem. Rev. 112. 4 (2012) 2373-2433.

DOI: 10.1021/cr100449n

Google Scholar

[2] A.V. Nomoev et al., Structure and mechanism of the formation of core–shell nanoparticles obtained through a one-step gas-phase synthesis by electron beam evaporation, Beilstein journal of nanotechnology 6 (2015) 874-880.

DOI: 10.3762/bjnano.6.89

Google Scholar

[3] A.V. Nomoev, S.P. Bardakhanov, Synthesis and structure of Ag-Si nanoparticles obtained by the electron-beam evaporation/condensation method, Technical Physics Letters, 38. 4 (2012) 375-378.

DOI: 10.1134/s1063785012040268

Google Scholar

[4] Singh V. et al. Heterogeneous gas-phase synthesis and molecular dynamics modeling of Janus and core–satellite Si–Ag nanoparticles, J. of Physical Chemistry C, 118 (2014) 13869-13875.

DOI: 10.1021/jp500684y

Google Scholar

[5] Zograf G. P. et al. Modeling of formation mechanism and optical properties of Si/Au core-shell nanoparticles, Proc. Int. Conf. Days on Diffraction, St. Petersburg, (2016) 460-463.

Google Scholar

[6] V.S. Baidyshev, E.A. Kartavykh, Y. Ya. Gafner, Computer simulation of the formation of two-component Cu@Si nanoparticles from the gas phase, Proc. 6th Int. Symp. Nanomaterials and Nanotechnologies-VI, , Ulan-Ude, (2016) 67-70 (in Russian).

Google Scholar

[7] Large-scale Atomic/Molecular Massively Parallel Simulator, LAMMPS, available at: http: /lammps. sandia. gov.

DOI: 10.21236/ada623365

Google Scholar

[8] B. Jelinek, S. Groh, M.F. Horstemeyer, J. Houze, S.G. Kim, G.J. Wagner, A. Moitra, and M.I. Baskes, Modified embedded atom method potential for Al, Si, Mg, Cu, and Fe alloys, Phys. Rev. B. 85 (2012) 245102.

DOI: 10.1103/physrevb.85.245102

Google Scholar

[9] M. Baskes, Modified embedded atom method calculations of interfaces, Report number: SAND–96-8484C, Sandia National Laboratories, Livermore, (1996).

Google Scholar

[10] A. Stukowski, Visualization and analysis of atomistic simulation data with OVITO—the open visualization tool, Model. Simul. Mater. Sci. Eng. 18. 1 (2010) 015012.

DOI: 10.1088/0965-0393/18/1/015012

Google Scholar