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  1. 2022

  2. Influence of a Central Jet on Isothermal and Reacting Swirling Flow in a Model Combustion Chamber

    Palkin, E. V., Hrebtov, M. Y., Slastnaya, D. A., Mullyadzhanov, R. I., Vervisch, L., Sharaborin, D. K., Lobasov, A. S. & Dulin, V. M., 1 Mar 2022, In: Energies. 15, 5, 1615.

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

  3. 2021

  4. Automatically hemodynamic analysis of AAA from CT images based on deep learning and CFD approaches

    Fedotova, Y. V., Epifanov, R. U. I., Karpenko, A. A. & Mullyadzhanov, R. I., 15 Dec 2021, In: Journal of Physics: Conference Series. 2119, 1, 012069.

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

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

    Hrebtov, M. Y., Palkin, E. V., Slastnaya, D. A., Mullyadzhanov, R. I. & Alekseenko, S. V., 15 Dec 2021, In: Journal of Physics: Conference Series. 2119, 1, 012031.

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

  6. Large-eddy simulations of a swirling flow in a model Francis turbine

    Palkin, E. V., Hrebtov, M. Y. & Mullyadzhanov, R. I., 15 Dec 2021, In: Journal of Physics: Conference Series. 2119, 1, 012026.

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

  7. Quasi-periodic forces and conditionally averaged characteristics of unsteady cavitation flow around a hydrofoil

    Ivashchenko, E. I., Hrebtov, M. Y. & Mullyadzhanov, R. I., 15 Dec 2021, In: Journal of Physics: Conference Series. 2119, 1, 012030.

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

  8. The effect of Reynolds number on near-wall reverse flow in a turbulent duct flow

    Ivashchenko, V. A., Zaripov, D. I. & Mullyadzhanov, R. I., 15 Dec 2021, In: Journal of Physics: Conference Series. 2119, 1, 012032.

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

  9. Systematic validation study of an unsteady cavitating flow over a hydrofoil using conditional averaging: Les and piv

    Ivashchenko, E., Hrebtov, M., Timoshevskiy, M., Pervunin, K. & Mullyadzhanov, R., Nov 2021, In: Journal of Marine Science and Engineering. 9, 11, 1193.

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

  10. Reverse flow phenomenon in duct corners at a low Reynolds number

    Zaripov, D., Ivashchenko, V., Mullyadzhanov, R., Li, R., Markovich, D. & Kähler, C. J., 1 Aug 2021, In: Physics of Fluids. 33, 8, 085130.

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

  11. Pressure evaluation from Lagrangian particle tracking data using a grid-free least-squares method

    Bobrov, M., Hrebtov, M., Ivashchenko, V., Mullyadzhanov, R., Seredkin, A., Tokarev, M., Zaripov, D., Dulin, V. & Markovich, D., Aug 2021, In: Measurement Science and Technology. 32, 8, 084014.

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

  12. Solitons in a Box-Shaped Wave Field with Noise: Perturbation Theory and Statistics

    Mullyadzhanov, R. & Gelash, A., 11 Jun 2021, In: Physical Review Letters. 126, 23, 234101.

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

  13. Active heat transfer and flow control over a cylinder by rotary oscillations

    Palkin, E., Mullyadzhanov, R., Hadziabdic, M. & Hanjalic, K., 24 May 2021, International Conference on the Methods of Aerophysical Research, ICMAR 2020. Fomin, V. M. & Shiplyuk, A. (eds.). American Institute of Physics Inc., 040044. (AIP Conference Proceedings; vol. 2351).

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

  14. Magnus Expansion for the Direct Scattering Transform: High-Order Schemes

    Mullyadzhanov, R. I. & Gelash, A. A., Feb 2021, In: Radiophysics and Quantum Electronics. 63, 9-10, p. 786-803 18 p.

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

  15. POD-analysis of the near field of a turbulent circular jet when mixing gases of different densities

    Ivashchenko, V. A., Palkin, E. V., Ryzhenkov, V. O. & Mullyadzhanov, R. I., Jan 2021, In: Thermophysics and Aeromechanics. 28, 1, p. 55-64 10 p.

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

  16. 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

  17. 2020

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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

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