1. 2024
  2. 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 journalArticlepeer-review

  3. 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 journalArticlepeer-review

  4. 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 journalArticlepeer-review

  5. 2023
  6. 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 journalConference articlepeer-review

  7. 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 journalConference articlepeer-review

  8. 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 journalArticlepeer-review

  9. 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 journalArticlepeer-review

  10. 2022
  11. 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 journalConference articlepeer-review

  12. 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 journalConference articlepeer-review

  13. Using Modern Machine Learning Methods on KASCADE Data for Outreach and Education

    Tokareva, V., Kostunin, D., Plokhikh, I. & Sotnikov, V., 12 Jan 2022, In: Proceedings of Science. 410, 007.

    Research output: Contribution to journalConference articlepeer-review

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