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  1. Exploring Fine-Tuned Generative Models for Keyphrase Selection: A Case Study for Russian

    Glazkova, A. & Morozov, D., 2026, Data Analytics and Management in Data Intensive Domains. Pardalos, P., Babkin, E., Zolotykh, N. & Stupnikov, S. (eds.). Springer, p. 98-111 14 p. 7. (Communications in Computer and Information Science; vol. 2641 CCIS).

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

  2. Experimental study of dispersed flows in microchannels for 3D printing of composite materials

    Kovalev, A. V., Yagodnitsyna, A. A. & Bilsky, A. V., 2022, In: Thermophysics and Aeromechanics. 29, 6, p. 913-920 8 p.

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

  3. 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

  4. 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

  5. Erratum to: Multi-Class Surface Generation of Complex Anatomical Structures Using Neural Networks

    Epifanov, R. U. I., Федотова, Я. В., Popov, D. R. & Мулляджанов, Р. И., Dec 2025, In: Doklady Mathematics. 112, 3, p. 636 1 p.

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

  6. 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

  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. Enhancing the stability of physics-informed neural networks applied to convection problems

    Tsgoev, C. A., Bratenkov, M. A., Sakharov, D. I., Travnikov, V. A., Seredkin, A. V., Kalinin, V. A., Fomichev, D. V. & Mullyadzhanov, R. I., Mar 2025, In: Thermophysics and Aeromechanics. 32, 2, p. 449-463 15 p.

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

  9. 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

  10. 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

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