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  1. 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

  2. Domain Knowledge and Language Embeddings for Low-Resource Multilingual Phoneme ASR

    Legchenko, A. & Bondarenko, I., 2026, Speech and Computer. Karpov, A. & Gosztolya, G. (eds.). Springer, p. 130-143 14 p. 10. (Lecture Notes in Computer Science; vol. 16188 LNCS).

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

  3. 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

  4. Effect of wall heating on the characteristics of near-wall reverse flow events occurring in a turbulent duct

    Chuprov, I. V., Ivashchenko, V. A., Mullyadzhanov, R. I. & Zaripov, D. I., Feb 2024, In: Journal of Applied Mechanics and Technical Physics. 65, 1, p. 112-120 9 p.

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

  5. Electron-Beam Crystallization of Thin Films of Amorphous Silicon Suboxide

    Baranov, E. A., Konstantinov, V. O., Shchukin, V. G., Zamchiy, A. O., Merkulova, I. E., Lunev, N. A. & Volodin, V. A., Mar 2021, In: Technical Physics Letters. 47, 3, p. 263-265 3 p.

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

  6. Energy spectra of elemental groups of cosmic rays with the KASCADE experiment data and machine learning

    Kuznetsov, M. Y., Petrov, N., Plokhikh, I. & Sotnikov, V., 1 May 2024, In: Journal of Cosmology and Astroparticle Physics. 2024, 5, 125.

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

  7. Environment-Agnostic IRM via Unsupervised Clustering and Adaptive Penalty Scaling

    Miron, B. & Bondarenko, I., 2026, Advances in Neural Computation, Machine Learning, and Cognitive Research IX. Kryzhanovsky, B., Dunin-Barkowski, W., Redko, V., Tiumentsev, Y. & Klimov, V. V. (eds.). Springer, p. 47-63 17 p. 5. (Studies in Computational Intelligence; vol. 1241 SCI).

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

  8. Erratum to: Gold-Induced Crystallization of Thin Films of Amorphous Silicon Suboxide (Technical Physics Letters, (2021), 47, 10, (726-729), 10.1134/S1063785021070257)

    Lunev, N. A., Zamchiy, A. O., Baranov, E. A., Merkulova, I. E., Konstantinov, V. O., Korolkov, I. V., Maximovskiy, E. A. & Volodin, V. A., Feb 2022, In: Technical Physics Letters. 48, 2, p. 95 1 p.

    Research output: Contribution to journal › Comment/debate › peer-review

  9. Estimation of the turbulent Schmidt number in a model gas turbine combustor

    Savitskii, A. G., Sharaborin, D. K., Lobasov, A. S. & Dulin, V. M., 8 Nov 2021, In: Journal of Physics: Conference Series. 2057, 1, 012084.

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

  10. Evolution of wetting of a copper surface treated with nanosecond laser radiation

    Vasilev, M. M., Rodionov, A. A., Shukhov, Y. G., Samokhvalov, F. A. & Starinskiy, S. V., 2022, In: Thermophysics and Aeromechanics. 29, 6, p. 941-950 10 p.

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

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