Computer Physics Communications, volume 184, issue 4, pages 1172-1182
New developments in evolutionary structure prediction algorithm USPEX
Lyakhov Andriy O.
1
,
Oganov Artem R.
,
Zhu Q.
1
,
Stokes Harold T.
,
Oganov A. R.
2
,
Stokes Harold T.
3
1
3
Department of Physics and Astronomy, Brigham Young University, Provo 84602, UT, USA
|
Publication type: Journal Article
Publication date: 2013-04-01
Journal:
Computer Physics Communications
Quartile SCImago
Q1
Quartile WOS
Q1
Impact factor: 6.3
ISSN: 00104655
General Physics and Astronomy
Hardware and Architecture
Abstract
We present new developments of the evolutionary algorithm USPEX for crystal structure prediction and its adaptation to cluster structure prediction. We show how to generate randomly symmetric structures, and how to introduce ‘smart’ variation operators, learning about preferable local environments. These and other developments substantially improve the efficiency of the algorithm and allow reliable prediction of structures with up to ∼200 atoms in the unit cell. We show that an advanced version of the Particle Swarm Optimization (PSO) can be created on the basis of our method, but PSO is strongly outperformed by USPEX. We also show how ideas from metadynamics can be used in the context of evolutionary structure prediction for escaping from local minima. Our cluster structure prediction algorithm, using the ideas initially developed for crystals, also shows excellent performance and outperforms other state-of-the-art algorithms.
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Citations by publishers
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4 publications, 0.42%
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3 publications, 0.31%
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3 publications, 0.31%
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3 publications, 0.31%
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1 publication, 0.1%
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Science in China Press, 1, 0.1%
Science in China Press
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King Saud University
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King Saud University
1 publication, 0.1%
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IEEE
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IEEE
1 publication, 0.1%
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Shanghai Institute of Ceramics, 1, 0.1%
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- We do not take into account publications that without a DOI.
- Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
- Statistics recalculated weekly.
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Lyakhov A. O. et al. New developments in evolutionary structure prediction algorithm USPEX // Computer Physics Communications. 2013. Vol. 184. No. 4. pp. 1172-1182.
GOST all authors (up to 50)
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Lyakhov A. O., Stokes H. T., Zhu Q., Oganov A. R., Oganov A. R., Stokes H. T. New developments in evolutionary structure prediction algorithm USPEX // Computer Physics Communications. 2013. Vol. 184. No. 4. pp. 1172-1182.
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RIS
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TY - JOUR
DO - 10.1016/j.cpc.2012.12.009
UR - https://doi.org/10.1016%2Fj.cpc.2012.12.009
TI - New developments in evolutionary structure prediction algorithm USPEX
T2 - Computer Physics Communications
AU - Lyakhov, Andriy O.
AU - Stokes, Harold T.
AU - Zhu, Q.
AU - Oganov, Artem R.
AU - Oganov, A. R.
AU - Stokes, Harold T.
PY - 2013
DA - 2013/04/01 00:00:00
PB - Elsevier
SP - 1172-1182
IS - 4
VL - 184
SN - 0010-4655
ER -
Cite this
BibTex
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@article{2013_Lyakhov,
author = {Andriy O. Lyakhov and Harold T. Stokes and Q. Zhu and Artem R. Oganov and A. R. Oganov and Harold T. Stokes},
title = {New developments in evolutionary structure prediction algorithm USPEX},
journal = {Computer Physics Communications},
year = {2013},
volume = {184},
publisher = {Elsevier},
month = {apr},
url = {https://doi.org/10.1016%2Fj.cpc.2012.12.009},
number = {4},
pages = {1172--1182},
doi = {10.1016/j.cpc.2012.12.009}
}
Cite this
MLA
Copy
Lyakhov, Andriy O., et al. “New developments in evolutionary structure prediction algorithm USPEX.” Computer Physics Communications, vol. 184, no. 4, Apr. 2013, pp. 1172-1182. https://doi.org/10.1016%2Fj.cpc.2012.12.009.
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