Calculation of the Ground States of Spin Glasses Using a Restricted Boltzmann Machine von Korol’, A. O., Kapitan, V. Yu, Perzhu, A. V., Padalko, M. A., Kapitan, D. Yu, Volotovskii, R. A., Vasil’ev, E. V., Rybin, A. E., Ovchinnikov, P. A., Andriushchenko, P. D., Makarov, A. G., Shevchenko, Yu. A., Il’yushin, I. G., Soldatov, K. S.

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On the Numerical Calculation of Frustrations in the Ising Model von Makarov, A. G., Makarova, K. V., Shevchenko, Yu. A., Andriushchenko, P. D., Kapitan, V. Yu, Soldatov, K. S., Perzhu, A. V., Rybin, A. E., Kapitan, D. Yu, Vasil’ev, E. V., Volotovskii, R. A., Chubov, Yu. V., Nefedev, K. V.

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Approaches to numerical solution of 2D Ising model von Soldatov, K S, Nefedev, K V, Kapitan, V Yu, Andriushchenko, P D

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Efficiency of Acoustic Noise Protection von Dragan, S. P., Zinkin, V. N., Bogomolov, A. V., Soldatov, S. K., Drozdov, S. V.

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Professionally Important Psychophysiological Qualities of Flight Instructors and Their Development von Soldatov, S. K., Zasyadko, K. I., Bogomolov, A. V., Vonarshenko, A. P., Yazlyuk, M. N.

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Fundamental and applied aspects of preventing the adverse effects of aviation noise von Zhdanko, I. M., Zinkin, V. N., Soldatov, S. K., Bogomolov, A. V., Sheshegov, P. M.

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Professionally Important Skills of Air Traffic Controllers von Soldatov, S. K., Zasyad’ko, K. I., Bogomolov, A. V., Vonarshenko, A. P., Solomka, A. V.

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A version of the voting protocol based on blockchain technology von Killer, V N, Borshevnikov, A E, Soldatov, K S

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STUDY OF THE POSSIBILITY TO DEVELOP SPECIAL PHYSICAL QUALITIES IN FLIGHT INSTRUCTORS BY STATIC STABILITY TRAINING von Vonarshenko, A.P., Zasiad'ko, K.I., Soldatov, S.К., Bogomolov, А.V., Yazlyuk, M.N.

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Fundamental and applied aspects of preventing the adverse effects of aviation noise von Zhdan'ko, I M, Zinkin, V N, Soldatov, S K, Bogomolov, A V, Sheshegov, P M

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Influence of the professional activity of pilots on the adaptive pattern of hemodynamic reactions to the tilt test von Batischeva, G. A., Chernov, Yu. N., Soldatov, S. K., Goncharova, N. Yu, Khomenko, M. N.

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Application of deep learning methods to the study of magnetic phenomena von Vasiliev, E. V, Kapitan, D. Yu, Korol, A. O, Rybin, A. E, Ovchinnikov, P. A, Soldatov, K. S, Shevchenko, Yu. A, Makarov, A. G, Kapitan, V. Yu

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Application of deep learning methods to the study of magnetic phenomena von Vasiliev, E V, D Yu Kapitan, Korol, A O, Rybin, A E, Ovchinnikov, P A, Soldatov, K S, Shevchenko, Yu A, Makarov, A G, V Yu Kapitan

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METHOD OF FLUID-TIGHTNESS TESTING OF ARTICLES von LEJTES ILYA L,SU, KURBATOV OLEG V,SU, SOLDATOV VLADIMIR K,SU

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Metal-organic frameworks: structure, properties, methods of synthesis and characterization von Butova, V V, Soldatov, M A, Guda, A A, Lomachenko, K A, Lamberti, C

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Spatiotemporal structure of cell fate decisions in murine neural crest von Soldatov, Ruslan, Kaucka, Marketa, Kastriti, Maria Eleni, Petersen, Julian, Chontorotzea, Tatiana, Englmaier, Lukas, Akkuratova, Natalia, Yang, Yunshi, Häring, Martin, Dyachuk, Viacheslav, Bock, Christoph, Farlik, Matthias, Piacentino, Michael L, Boismoreau, Franck, Hilscher, Markus M, Yokota, Chika, Qian, Xiaoyan, Nilsson, Mats, Bronner, Marianne E, Croci, Laura, Hsiao, Wen-Yu, Guertin, David A, Brunet, Jean-Francois, Consalez, Gian Giacomo, Ernfors, Patrik, Fried, Kaj, Kharchenko, Peter V, Adameyko, Igor

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Revisiting the nature of Cu sites in the activated Cu-SSZ-13 catalyst for SCR reaction von Borfecchia, E, Lomachenko, K A, Giordanino, F, Falsig, H, Beato, P, Soldatov, A V, Bordiga, S, Lamberti, C

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Advanced, Kerr-microscopy-based MOKE magnetometry for the anisotropy characterisation of magnetic films von Soldatov, I.V., Zehner, J., Leistner, K., Kang, T., Karnaushenko, D., Schäfer, R.

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Synthesis of Iron Oxide Nanoclusters by Thermal Decomposition von Nikitin, Aleksey A, Shchetinin, Igor V, Tabachkova, Natalya Yu, Soldatov, Mikhail A, Soldatov, Alexander V, Sviridenkova, Natalya V, Beloglazkina, Elena K, Savchenko, Alexander G, Fedorova, Natalya D, Abakumov, Maxim A, Majouga, Alexander G

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Revisiting the Extended X‑ray Absorption Fine Structure Fitting Procedure through a Machine Learning-Based Approach von Martini, A, Bugaev, A. L, Guda, S. A, Guda, A. A, Priola, E, Borfecchia, E, Smolders, S, Janssens, K, De Vos, D, Soldatov, A. V

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