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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 reinforcement learning algorithm for self-tuning 8-figure fiber laser

    Kokhanovskiy, A., Kuprikov, E., Serebrennikov, K. & Turitsyn, S., 2021, The European Conference on Lasers and Electro-Optics, CLEO/Europe 2021. The Optical Society, cj_4_3. (Optics InfoBase Conference Papers).

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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  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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