Zobrazeno 1 - 10 of 16 pro vyhledávání: '"Petr S. Dubinin"'
2
Possibilities of Neural Network Powder Diffraction Analysis Crystal Structure of Chemical Compounds
Autor: Petr S. Dubinin, Igor S. Yakimov, Alexander N. Zaloga, Vladimir Stanovov, Oksana E. Bezrukova
Publikováno v: Journal of Siberian Federal University. Chemistry. :188-200
Some possibilities of using convolutional artificial neural networks (ANN) for powder diffraction structural analysis of crystalline substances have been investigated. First, ANNs are used to classify crystalline systems and space groups according to
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c4be4081f9912cd56eeaf0a0f334c8a1
https://doi.org/10.17516/1998-2836-0118
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3
An accurate determination of cryolite ratio in industrial aluminum baths by wavelength-dispersive X-ray fluorescence spectrometry
Autor: Sergey D. Kirik, Igor S. Yakimov, Petr S. Dubinin, Oksana E. Bezrukova, Sergei G. Ruzhnikov
Publikováno v: Spectrochimica Acta Part B: Atomic Spectroscopy. 152:52-58
The efficiency of aluminum smelting cells relies on control in maintaining different cell's parameters, including bath chemistry. In industry, X-ray diffraction analysis is normally used to control the primary characteristic of bath chemistry, namely
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::005c1c7e3d1ec04bb11323c2546ae23d
https://doi.org/10.1016/j.sab.2018.12.002
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4
Multipopulation Genetic Algorithm for Determining Crystal Structures Using Powder Diffraction Data
Autor: Petr S. Dubinin, Aleksandr Zaloga, Igor S. Yakimov
Publikováno v: Journal of Surface Investigation: X-ray, Synchrotron and Neutron Techniques. 12:128-134
A method for the automatic determination of crystal structures using powder diffraction data by the multipopulation genetic algorithm is proposed. The advantage of using coevolution with exchange by better individuals over using evolution within a si
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::16961ecf31565e7e51f6b237345c526b
https://doi.org/10.1134/s1027451018010342
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7
Crystal symmetry classification from powder X-ray diffraction patterns using a convolutional neural network
Autor: Igor S. Yakimov, Alexander N. Zaloga, Oksana E. Bezrukova, Vladimir Stanovov, Petr S. Dubinin
Publikováno v: Materials Today Communications. 25:101662
A convolutional artificial neural network was applied to identify crystal systems and symmetry space groups by full-profile X-ray diffraction patterns calculated from crystal structures of the ICSD 2017 database. The database contains 192 004 crystal
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5845111c31b92402df2a804d99ee4d19
https://doi.org/10.1016/j.mtcomm.2020.101662
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8
Multi-population evolutionary algorithm SPEA2 for crystal structure determination from X-ray powder diffraction data
Autor: Sergey V. Burakov, Igor S. Yakimov, Petr S. Dubinin, Konstantin A. Gusev, Aleksandr Zaloga
Publikováno v: IOP Conference Series: Materials Science and Engineering. 734:012102
The problem of determining inorganic crystal structures with a large number of atoms from powder diffraction data is a relevant research task. In order to solve this problem, we made an algorithm of multi-objective optimization based on the SPEA2 app
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2629e90e9d28f2727f0ef06d3ddbe002
https://doi.org/10.1088/1757-899x/734/1/012102
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9
NaF-KF-AlF3 System: Phase Transition in K2NaAl3F12 Ternary Fluoride
Autor: Sergei D. Kirik, Igor S. Yakimov, Alexandr Samoilo, Petr S. Dubinin, Dmitry A. Simakov, Darya Y. Leshok, Alexandr O. Gusev, Yulia N. Zaitseva
Publikováno v: Inorganic Chemistry. 54:5960-5969
Phase formation in the NaF-KF-AlF3 system, in the vicinity of the K2NaAl3F12 composition, has been studied. The samples have been prepared by melting the starting components at 650 °C. A new phase has been revealed, which appeared to be a low-temper
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2caffc3cf1d22c2979b4956ddcf3031e
https://doi.org/10.1021/acs.inorgchem.5b00772
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10
Island model with genetic algorithm for solution of crystal structure from X-ray powder diffraction data
Autor: Konstantin A. Gusev, Aleksandr Zaloga, Petr S. Dubinin, Sergey V. Burakov, Igor S. Yakimov
Publikováno v: IOP Conference Series: Materials Science and Engineering. 537:022002
In this paper, we consider the problem of the study of polycrystalline substances: restoration of a substance atomic structure by full-profile analysis of powder diffraction data. This task is specific since it is not necessary to find very good solu
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::78cb6bf793897d6cc383def4feddecdf
https://doi.org/10.1088/1757-899x/537/2/022002
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