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  1. 2021

  2. On a mechanism of near-wall reverse flow formation in a turbulent duct flow

    Zaripov, D., Ivashchenko, V., Mullyadzhanov, R., Li, R., Mikheev, N. & Kähler, C. J., 2021, In: Journal of Fluid Mechanics. 923, A20.

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

  3. Инвазивный видео-ЭЭГ мониторинг при височной эпилепсии: выбор метода

    Dzhafarov, V. M., Guzeeva, A. S., Amelina, E. V., Khalepa, A. A., Dmitriev, A. B., Denisova, N. P. & Rzaev, D. A., 2021, In: Zhurnal Voprosy Nejrokhirurgii Imeni N.N. Burdenko. 85, 5, p. 23-29 7 p., 3.

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

  4. Кто поймет «Незнайку»? Автоматическое определение сложности текстов для детей

    Иодмин, Б. Л. & Morozov, D. A., 2021, In: Russkaya Rech. 5, p. 55-68 14 p., 4.

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

  5. Результаты раннего назначения низкомолекулярного гепарина с целью профилактики венозных тромбоэмболических осложнений после удаления опухолей головного мозга

    Bervitskiy, A. V., Guzhin, V. E., Moisak, G. I., Imamurzaev, E. Z., Amelina, E. V., Kalinovsky, A. V. & Rzayev, D. A., 2021, In: Russian Journal of Neurosurgery. 23, 3, p. 30-38 9 p., 3.

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

  6. Частота и факторы риска развития венозных тромбоэмболических осложнений у пациентов после удаления различных видов опухолей головного мозга

    Bervitskiy, A. V., Moisak, G. I., Guzhin, V. E., Amelina, E. V., Kalinovskiy, A. V. & Rzaev, D. A., 2021, In: Zhurnal Voprosy Nejrokhirurgii Imeni N.N. Burdenko. 85, 3, p. 63-77 15 p., 6.

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

  7. 2020

  8. Development of the algorithm for the optimization of objects pick up sequence on a conveyor belt

    Seredkin, A. V., Bobrov, M. S., Tokarev, M. P. & Gobyzov, O. A., 3 Dec 2020, In: Journal of Physics: Conference Series. 1677, 1, 012195.

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

  9. High-order numerical method for scattering data of the Korteweg - De Vries equation

    Gudko, A., Gelash, A. & Mullyadzhanov, R., 3 Dec 2020, In: Journal of Physics: Conference Series. 1677, 1, 012011.

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

  10. Large-eddy simulation of a swirling flow in a model combustion chamber

    Hrebtov, M. Y., Palkin, E. V. & Mullyadzhanov, R. I., 3 Dec 2020, In: Journal of Physics: Conference Series. 1677, 1, 012012.

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

  11. Large-eddy simulation of the flow in a fluidic oscillator

    Dauengauer, E. I. & Mullyadzhanov, R. I., 3 Dec 2020, In: Journal of Physics: Conference Series. 1677, 1, 012008.

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

  12. Laser line scanning of a shape of moving objects with various degree of transparency

    Mel'Nik, A. V., Seredkin, A. V., Tokarev, M. P. & Gobyzov, O. A., 3 Dec 2020, In: Journal of Physics: Conference Series. 1677, 1, 012187.

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

  13. Symmetry breaking in annular jets with different blockage ratio

    Ryzhenkov, V. O. & Mullyadzhanov, R. I., 3 Dec 2020, In: Journal of Physics: Conference Series. 1677, 1, 012028.

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

  14. Implementation of Convolutional Neural Network to Enhance Turbulence Models for Channel Flows

    Razizadeh, O. & Yakovenko, S. N., 14 Nov 2020, Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020. Institute of Electrical and Electronics Engineers Inc., p. 1-4 4 p. 9303178. (Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020).

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

  15. Pattern recognition for bubbly flows with vapor or gas-liquid interfaces using U-Net architecture

    Seredkin, A., Plokhikh, I., Mullyadzhanov, R., Malakhov, I., Serdyukov, V., Surtaev, A., Chinak, A., Lobanov, P. & Tokarev, M., 14 Nov 2020, Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020. Institute of Electrical and Electronics Engineers Inc., p. 5-8 4 p. 9303175. (Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020).

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

  16. Deep Reinforcement Learning Control of Cylinder Flow Using Rotary Oscillations at Low Reynolds Number

    Tokarev, M., Palkin, E. & Mullyadzhanov, R., 2 Nov 2020, In: Energies. 13, 22, 11 p., 5920.

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

  17. Machine learning methods for development of data-driven turbulence models

    Yakovenko, S. N. & Razizadeh, O., 26 Oct 2020, High-Energy Processes in Condensed Matter, HEPCM 2020: Proceedings of the XXVII Conference on High-Energy Processes in Condensed Matter, Dedicated to the 90th Anniversary of the Birth of RI Soloukhin. Fomin, V. M. (ed.). American Institute of Physics Inc., 5 p. 030065. (AIP Conference Proceedings; vol. 2288).

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

  18. Effect of Geometry on Direct and Adjoint Linear Global Modes of Low Reynolds Number Laminar Flow over Body

    Ryzhenkov, V. O., Sozinov, D. A. & Mullyadzhanov, R. I., Oct 2020, In: Journal of Engineering Thermophysics. 29, 4, p. 576-581 6 p.

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

  19. 2019

  20. Calculation of the drag coefficient of micro and nanoparticles

    Bedarev, I. A., Slastnaya, D. A. & Temerbekov, V. M., 6 Dec 2019, In: Journal of Physics: Conference Series. 1404, 1, 012004.

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

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