Computer Physics Communications, volume 236, pages 1-7
Topology-based crystal structure generator
Bushlanov Pavel V
1, 2
,
Oganov Artem R.
,
Blatov Vladislav A.
,
Blatov Vladislav A.
3, 4
,
Oganov A. R.
1, 2, 3
Publication type: Journal Article
Publication date: 2019-03-01
Journal:
Computer Physics Communications
Quartile SCImago
Q1
Quartile WOS
Q1
Impact factor: 6.3
ISSN: 00104655
General Physics and Astronomy
Hardware and Architecture
Abstract
Abstract Crystal structure prediction is a new dynamically developing field. Two main types of crystal structure prediction methods exist: (1) based on global optimization and (2) based on data mining. It seems promising to hybridize data mining and global optimization techniques. The former generally involve no empirical information and are truly predictive, the latter rely on the databases of existing crystal structures, and are relatively fast, but prone to error, because the databases are far from complete. Furthermore, the theorist’s dream is to be as little dependent on empirical data as possible and be always capable of predicting new structures, not contained in the databases. Here we present an approach to generate an infinite number of crystal structures from a finite set of idealized periodic nets. The resulting structures are highly ordered, possess nontrivial symmetries, and often low energy. Topologically generated structures can be used for initializing evolutionary crystal structure prediction calculations, or on their own — as an extended data mining approach. The efficiency of the proposed approach in both scenarios is confirmed by a series of tests, which we also present here. As an additional enhancement to evolutionary algorithm we introduce a technique for adjusting fractions of variation operators on the fly. Tests show significant performance improvements due to both of these developments.
Citations by journals
1
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Journal of Physical Chemistry A
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Journal of Applied Physics
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npj Computational Materials
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Scientific Reports
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2 publications, 3.03%
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1 publication, 1.52%
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1 publication, 1.52%
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1 publication, 1.52%
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1
2
3
4
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Citations by publishers
5
10
15
20
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American Chemical Society (ACS)
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American Chemical Society (ACS)
20 publications, 30.3%
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Elsevier
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12 publications, 18.18%
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Wiley
|
Wiley
8 publications, 12.12%
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Springer Nature
|
Springer Nature
6 publications, 9.09%
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6 publications, 9.09%
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4 publications, 6.06%
|
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|
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3 publications, 4.55%
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|
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2 publications, 3.03%
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2 publications, 3.03%
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IOP Publishing
|
IOP Publishing
1 publication, 1.52%
|
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|
Multidisciplinary Digital Publishing Institute (MDPI)
1 publication, 1.52%
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Hindawi Limited
|
Hindawi Limited
1 publication, 1.52%
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5
10
15
20
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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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Bushlanov P. V. et al. Topology-based crystal structure generator // Computer Physics Communications. 2019. Vol. 236. pp. 1-7.
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Bushlanov P. V., Blatov V. A., Oganov A. R., Blatov V. A., Oganov A. R. Topology-based crystal structure generator // Computer Physics Communications. 2019. Vol. 236. pp. 1-7.
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TY - JOUR
DO - 10.1016/j.cpc.2018.09.016
UR - https://doi.org/10.1016%2Fj.cpc.2018.09.016
TI - Topology-based crystal structure generator
T2 - Computer Physics Communications
AU - Bushlanov, Pavel V
AU - Blatov, Vladislav A.
AU - Oganov, Artem R.
AU - Blatov, Vladislav A.
AU - Oganov, A. R.
PY - 2019
DA - 2019/03/01 00:00:00
PB - Elsevier
SP - 1-7
VL - 236
SN - 0010-4655
ER -
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@article{2019_Bushlanov,
author = {Pavel V Bushlanov and Vladislav A. Blatov and Artem R. Oganov and Vladislav A. Blatov and A. R. Oganov},
title = {Topology-based crystal structure generator},
journal = {Computer Physics Communications},
year = {2019},
volume = {236},
publisher = {Elsevier},
month = {mar},
url = {https://doi.org/10.1016%2Fj.cpc.2018.09.016},
pages = {1--7},
doi = {10.1016/j.cpc.2018.09.016}
}
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