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  1. Using optimal control methods with constraints to generate singlet states in NMR

    Rodin, B. A., Kiryutin, A. S., Yurkovskaya, A. V., Ivanov, K. L., Yamamoto, S., Sato, K. & Takui, T., 1 Jun 2018, In: Journal of Magnetic Resonance. 291, p. 14-22 9 p.

    Research output: Contribution to journal › Article › peer-review

  2. Using of vacuum insulated tandem accelerator for perspective materials irradiation by a fast neutron flux

    Kolesnikov, Y., Bikchurina, M., Bykov, T., Kasatov, D., Singatulina, N., Shchudlo, I., Sokolova, E., Bobrovnikov, V., Gromilov, S., Sukhikh, A., Klyamer, D., Shoshin, A., Burdakov, A., Ovsienko, A. & Taskaev, S., Feb 2026, In: Nuclear Instruments and Methods in Physics Research, Section B: Beam Interactions with Materials and Atoms. 571, 8 p., 165968.

    Research output: Contribution to journal › Article › peer-review

  3. Using of Fractional Separation for the Analysis of MoO3 by Atomic Emission Spectrometry with Inductively Coupled Plasma and Electrothermal Vaporization

    Medvedev, N. S., Malitskii, A. V., Tsygankova, A. R. & Saprykin, A. I., 1 Jun 2018, In: Journal of Analytical Chemistry. 73, 6, p. 533-538 6 p.

    Research output: Contribution to journal › Article › peer-review

  4. Using Modern Machine Learning Methods on KASCADE Data for Outreach and Education

    Tokareva, V., Kostunin, D., Plokhikh, I. & Sotnikov, V., 12 Jan 2022, In: Proceedings of Science. 410, 007.

    Research output: Contribution to journal › Conference article › peer-review

  5. Using mixed reality technologies to explore the exhibits of the Kuzbass Botanical Garden

    Molorodov, Y. I. & Chernyavtsev, E. D., 2021, In: CEUR Workshop Proceedings. 3006, p. 203-211 9 p.

    Research output: Contribution to journal › Conference article › peer-review

  6. Using maximum cross section method for filtering jump-diffusion random processes

    Averina, T. A. & Rybakov, K. A., 1 Apr 2020, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 35, 2, p. 55-67 13 p.

    Research output: Contribution to journal › Article › peer-review

  7. Using Machine Learning Methods to Search for EEG and Genetic Markers of Depressive Disorder

    Zorina, K., Kriveckiy, A., Klemeshova, D., Bocharov, A. & Karmanov, V., 8 Aug 2025, International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM. IEEE Computer Society, p. 1790-1793 4 p. (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  8. Using Machine Learning Methods to Model and Interpret Problems in Determining the Parameters of the Medium Near the Well Using Signals from a High-Frequency Induction Logging While Drilling Device

    Vlasov, A., Al Masud, R. & Bykova, G., 18 Nov 2025, 2025 IEEE XVII International Scientific and Technical Conference on Actual Problems of Electronic Instrument Engineering (APEIE). Institute of Electrical and Electronics Engineers Inc., p. 1-6 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  9. Using Low-Temperature Molten Dialkylimidazole Salts in the Catalytic Reactions of Alkylation and Hydrodechlorination

    Klimenko, A. S., Prikhod’ko, S. A., Beskopyl’nyi, A. M., Tertishnikov, I. V. & Adonin, N. Y., 1 Oct 2018, In: Catalysis in Industry. 10, 4, p. 313-320 8 p.

    Research output: Contribution to journal › Article › peer-review

  10. Using LED Interferometry Technique to Study Pressure Reduction Effect on Microlayer Thickness during Pool Boiling

    Serdyukov, V., Kosovskikh, I. & Malakhov, I., 18 Apr 2025, In: Journal of Engineering Thermophysics. 34, 1, p. 1-11 11 p.

    Research output: Contribution to journal › Article › peer-review

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