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  1. Deep reinforcement learning algorithm for self-tuning 8-figure fiber laser

    Kokhanovskiy, A., Kuprikov, E., Serebrennikov, K. & Turitsyn, S., Jun 2021, 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021. Institute of Electrical and Electronics Engineers Inc., 1 p. (2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021).

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

  2. Deep machine learning for STEM image analysis

    Nartova, A. V., Matveev, A. V., Kovtunova, L. M. & Okunev, A. G., Nov 2024, In: Mendeleev Communications. 34, 6, p. 774-775 2 p.

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

  3. Deconvolution of 3-D Gaussian kernels

    Silagadze, Z. K., 25 Oct 2019, In: Physics Letters, Section A: General, Atomic and Solid State Physics. 383, 30, 4 p., 125874.

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

  4. Deceleration of a supersonic flow down to transonic speeds using gas-dynamic pulses during combustion of hydrocarbon fuels

    Zamuraev, V. P. & Kalinina, A. P., 24 May 2021, International Conference on the Methods of Aerophysical Research, ICMAR 2020. Fomin, V. M. & Shiplyuk, A. (eds.). American Institute of Physics Inc., 030050. (AIP Conference Proceedings; vol. 2351).

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

  5. 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

  6. 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

  7. Data acquisition in a simplified turbine model for prediction of unsteady vortex phenomena

    Skripkin, S., Suslov, D., Gorelikov, E., Tsoy, M. & Litvinov, I., 2024, In: Journal of Physics: Conference Series. 2752, 1, 7 p., 012211.

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

  8. Dark photon portal into mirror world

    Alizzi, A. & Silagadze, Z. K., 28 Sept 2021, In: Modern Physics Letters A. 36, 30, 2150215.

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

  9. Dalitz Plot Analysis of the e+e– → π+π–π0 Process

    Dimova, T. V., Achasov, M. N., Barnyakov, A. Y., Beloborodov, K. I., Berdyugin, A. V., Bogdanchikov, A. G., Botov, A. A., Druzhinin, V. P., Kharlamov, A. G., Kardapoltsev, L. V., Kovrizhin, D. P., Korol, A. A., Kupich, A. S., Kryukov, A. P., Melnikova, N. A., Muchnoi, N. Y., Obrazovsky, A. E., Pakhtusova, E. V., Pugachev, K. V., Serednyakov, S. I., & 5 othersSilagadze, Z. K., Surin, I. K., Shtol, D. A., Usov, Y. V. & Zhabin, V. N., 27 Jun 2025, In: Physics of Particles and Nuclei. 56, 3, p. 820-826 7 p.

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

  10. Dalitz plot analysis of the D + → K − K + K + decay

    The LHCb Collaboration, Эйдельман, С. И., Кроковный, П. П. & Воробьев, В. С., 1 Apr 2019, In: Journal of High Energy Physics. 2019, 4, 36 p., 63.

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

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