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  1. 2025

  2. Measurable Metrics of Mesenchymal Stem Cell Aging

    Kalashnikova, D. A., Romanov, S. E., Maksimov, D. A., Plokhikh, I. A., Epifanov, R. Y., Mullyadjanov, R. I., Sidelnikov, L. O., Antoshina, P. A., Osipov, Y. A., Shloma, V. V., Budilina, A. A., Samoylova, E. M., Baklaushev, V. P. & Laktionov, P. P., 2025, In: Sovremennye Tehnologii v Medicine. 17, 5, p. 5-30 26 p., 1.

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

  3. 2024

  4. Advancing graph neural network architecture for fluid flow and heat transfer surrogate modeling: Variable boundary conditions and geometry

    Travnikov, V., Plokhikh, I. & Mullyadzhanov, R., 1 Dec 2024, In: Physics of Fluids. 36, 12, 127117.

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

  5. 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

  6. Methods of machine learning for the analysis of cosmic rays mass composition with the KASCADE experiment data

    Kuznetsov, M. Y., Petrov, N. A., Plokhikh, I. A. & Sotnikov, V. V., 1 Jan 2024, In: Journal of Instrumentation. 19, 1, P01025.

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

  7. 2023

  8. Search for optimal deep neural network architecture for gamma ray search at KASCADE

    Kuznetsov, M., Petrov, N., Plokhikh, I., Sotnikov, V. & Tsobenko, M., 14 Dec 2023, In: Proceedings of Science. 423, 8 p., 091.

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

  9. Towards mass composition study with KASCADE using deep neural networks

    Kuznetsov, M., Petrov, N., Plokhikh, I. & Sotnikov, V., 14 Dec 2023, In: Proceedings of Science. 423, 8 p., 092.

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

  10. Parametric RANS Simulation of a Cavitation Flow in the Channel of a Control Valve Cage

    Ivashchenko, E. I., Ivashchenko, V. A., Plokhikh, I. A., Mardanov, A. R., Melemchuk, I. A., Pimenov, N. K. & Mullyadzhanov, R. I., Mar 2023, In: Journal of Applied and Industrial Mathematics. 17, 1, p. 86-93 8 p.

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

  11. Data-Driven Prediction of Unsteady Vortex Phenomena in a Conical Diffuser

    Skripkin, S., Suslov, D., Plokhikh, I., Tsoy, M., Gorelikov, E. & Litvinov, I., 2023, In: Energies. 16, 5, 2108.

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

  12. 2022

  13. New insights from old cosmic rays: A novel analysis of archival KASCADE data

    Kostunin, D., Plokhikh, I., Ahlers, M., Tokareva, V., Lenok, V., Bezyazeekov, P., Golovachev, S., Sotnikov, V., Mullyadzhanov, R. & Sotnikova, E., 18 Mar 2022, In: Proceedings of Science. 395, 319.

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

  14. Reconstruction of sub-threshold events of cosmic-ray radio detectors using an autoencoder

    the Tunka-Rex Collaboration, 18 Mar 2022, In: Proceedings of Science. 395, 223.

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

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