Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Oksana E. Bezrukova"'
Autor:
Sergei D. Kirik, Alexandr S. Samoilo, Yulia N. Zaitseva, Aleksandr N. Zaloga, Oksana E. Bezrukova, Peter S. Dubinin, Igor S. Yakimov
Publikováno v:
Journal of Solid State Chemistry. 319:123825
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7dcf234d55b05fe1f97033295b3cef9
https://doi.org/10.1016/j.jssc.2022.123825
https://doi.org/10.1016/j.jssc.2022.123825
Publikováno v:
Tsvetnye Metally. :56-62
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73dd0c5895cf205bf639a74a232a8b7b
https://doi.org/10.17580/tsm.2019.09.09
https://doi.org/10.17580/tsm.2019.09.09
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
https://doi.org/10.17516/1998-2836-0118
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
https://doi.org/10.1016/j.sab.2018.12.002
Autor:
Sergey V. Burakov, Igor S. Yakimov, Aleksandr Zaloga, P. S. Dubinin, Oksana E. Bezrukova, Konstantin A. Gusev, M. E. Semenkina
Publikováno v:
Industrial laboratory. Diagnostics of materials. 84:25-31
We developed a self configuring genetic algorithm to quantify phase concentrations in a crystalline sample from powder X-ray diffraction data. The algorithm does not require the fine-tuning of parameters, which is inherent to most evolutionary algori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a68d55c87760c65597f4d4e5cef68fb
https://doi.org/10.26896/1028-6861-2018-84-3-25-31
https://doi.org/10.26896/1028-6861-2018-84-3-25-31
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
https://doi.org/10.1016/j.mtcomm.2020.101662