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  1. Data-driven turbulence modeling for fluid flow and heat transfer in peripheral subchannels of a rod bundle

    Li, H., Yakovenko, S., Ivashchenko, V., Lukyanov, A., Mullyadzhanov, R. & Tokarev, M., 2024, In: Physics of Fluids. 36, 2

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

  2. Deep learning segmentation to analyze bubble dynamics and heat transfer during boiling at various pressures

    Malakhov, I., Seredkin, A., Chernyavskiy, A., Serdyukov, V., Mullyadzanov, R. & Surtaev, A., May 2023, In: International Journal of Multiphase Flow. 162, 104402.

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

  3. Deep Multimodal Fusion Network for the Retinogeniculate Visual Pathway Segmentation

    Xie, L., Yang, L., Zeng, Q., He, J., Huang, J., Feng, Y., Amelina, E. & Amelin, M., 2023, Chinese Control Conference, CCC. Institute of Electrical and Electronics Engineers Inc., p. 7946-7950 5 p.

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

  4. 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

  5. Deposition of fluoropolymer coating on stainless steel surface from plasma of glow discharge

    Petrova, A. V., Bogoslovtseva, A. L. & Safonov, A. I., 15 Dec 2021, In: Journal of Physics: Conference Series. 2119, 1, 012125.

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

  6. Determination of the transition boundary between segmented and continuous flow patterns in microfluidic liquid-liquid flows using dimensional analysis

    Kovalev, A. V., Yagodnitsyna, A. A. & Bilsky, A. V., Nov 2021, In: Thermophysics and Aeromechanics. 28, 6, p. 827-833 7 p., 7.

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

  7. 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

  8. Diagnosis Neuro-Oncology Diseases via Artificial Intelligence and Multi-Sequence MRI Methods

    Letyagin, A., Amelina, E., Tuchinov, B., Groza, V., Amelin, M., Golushko, S. & Pavlovskiy, E., 2023, 2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 112-117 6 p. (2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2023 - Proceedings).

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

  9. Direct Numerical Simulation of the Peripheral and Internal Configurations of a Model Assembly of Fuel Elements

    Ivashchenko, V. A., Lobanov, P. D., Yavorsky, N. I., Tokarev, M. P. & Mullyadzhanov, R. I., Jun 2023, In: Journal of Applied and Industrial Mathematics. 17, 2, p. 320-325 6 p.

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

  10. Direct Numerical Simulation of the Turbulent Flow Laminarization in a Pipe at Re = 5000

    Zaripov, D. I., Ivashchenko, V. A., Panteleev, S. A., Luk’yanov, A. A. & Mullyadzhanov, R. I., 2023, In: Russian Aeronautics. 66, 4, p. 723-730 8 p.

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

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