volume 142 pages 303-311

Atomistic simulation of Si-Au melt crystallization with novel interatomic potential

Publication typeJournal Article
Publication date2018-02-01
scimago Q1
wos Q2
SJR0.782
CiteScore6.6
Impact factor3.3
ISSN09270256, 18790801
General Chemistry
General Physics and Astronomy
General Materials Science
Mechanics of Materials
Computational Mathematics
General Computer Science
Abstract
In this work we studied crystallization of the liquid Si-Au system at rapid cooling. For this purpose we performed atomistic simulation with novel interatomic potential. Results of the simulations showed that crystallization proceeds in different ways for pure silicon and Si-Au melt. For the studied binary system, the main factor limiting crystallization is diffusion of Au atoms in the liquid state. Threshold cooling rate for crystallization significantly depends on the Au content.
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GOST Copy
Starikov S. N. et al. Atomistic simulation of Si-Au melt crystallization with novel interatomic potential // Computational Materials Science. 2018. Vol. 142. pp. 303-311.
GOST all authors (up to 50) Copy
Starikov S. N., Lopanitsyna N. Yu., Smirnova D., Makarov S. V. Atomistic simulation of Si-Au melt crystallization with novel interatomic potential // Computational Materials Science. 2018. Vol. 142. pp. 303-311.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1016/j.commatsci.2017.09.054
UR - https://doi.org/10.1016/j.commatsci.2017.09.054
TI - Atomistic simulation of Si-Au melt crystallization with novel interatomic potential
T2 - Computational Materials Science
AU - Starikov, Sergei N.
AU - Lopanitsyna, N Yu
AU - Smirnova, D.E.
AU - Makarov, Sergey V.
PY - 2018
DA - 2018/02/01
PB - Elsevier
SP - 303-311
VL - 142
SN - 0927-0256
SN - 1879-0801
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2018_Starikov,
author = {Sergei N. Starikov and N Yu Lopanitsyna and D.E. Smirnova and Sergey V. Makarov},
title = {Atomistic simulation of Si-Au melt crystallization with novel interatomic potential},
journal = {Computational Materials Science},
year = {2018},
volume = {142},
publisher = {Elsevier},
month = {feb},
url = {https://doi.org/10.1016/j.commatsci.2017.09.054},
pages = {303--311},
doi = {10.1016/j.commatsci.2017.09.054}
}