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  1. Backflow phenomenon in converging and diverging channels

    Zaripov, D., Li, R., Lukyanov, A., Skrypnik, A., Ivashchenko, E., Mullyadzhanov, R. & Markovich, D., Jan 2023, In: Experiments in Fluids. 64, 1, 11 p., 9.

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

  2. Bi-Solitons on the Surface of a Deep Fluid: An Inverse Scattering Transform Perspective Based on Perturbation Theory

    Gelash, A., Dremov, S., Mullyadzhanov, R. & Kachulin, D., 29 Mar 2024, In: Physical Review Letters. 132, 13, p. 133403 133403.

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

  3. Bound-state soliton gas as a limit of adiabatically growing integrable turbulence

    Agafontsev, D. S., Gelash, A. A., Mullyadzhanov, R. I. & Zakharov, V. E., Jan 2023, In: Chaos, Solitons and Fractals. 166, 112951.

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

  4. Computational study of heat and fluid flow around a rotary oscillating cylinder at a high Re number

    Hadžiabdić, M., Palkin, E., Mullyadzhanov, R. & Hanjalić, K., 2018, THMT 2018 - Proceedings of the 9th International Symposium on Turbulence Heat and Mass Transfer. Begell House Inc., p. 359-370 12 p. (Proceedings of the International Symposium on Turbulence, Heat and Mass Transfer; vol. 2018-July).

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

  5. Control of flow around a cylinder by rotary oscillations at a high subcritical Reynolds number

    Palkin, E., Hadžiabdić, M., Mullyadzhanov, R. & Hanjalić, K., 18 Sept 2018, In: Journal of Fluid Mechanics. 855, p. 236-266 31 p.

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

  6. 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

  7. 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

  8. 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

  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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