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  1. Data Acquisition System for the Calorimeter of the Belle II Detector

    Zhulanov, V. V., Kuzmin, A. S., Matvienko, D. V., Remnev, M. A. & Usov, Y. V., Jan 2021, In: Physics of Atomic Nuclei. 84, 1, p. 42-44 3 p.

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

  2. Data-driven Low-energy Generic Generator for CMD-3

    Korobov, A. A. & Eidelman, S. I., 7 Jul 2020, In: Journal of Physics: Conference Series. 1525, 1, 012019.

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

  3. 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

  4. Declustering of macroparticles in long-term simulations of plasma wakefield acceleration

    Kargapolov, I. Y., Okhotnikov, N. V., Shalimova, I. A., Sosedkin, A. P. & Lotov, K. V., 2025, In: Physics of Plasmas. 32, 2, 023905.

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

  5. Decoding dark matter at future e+e- colliders

    Belyaev, A., Freegard, A., Ginzburg, I. F., Locke, D. & Pukhov, A., 1 Jul 2022, In: Physical Review D. 106, 1, 015016.

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

  6. Deep learning segmentation to analyze bubble dynamics and heat transfer during boiling at various pressures

    Malakhov, I., Seredkin, A., Chernyavskiy, A., Serdyukov, V., Mullyadzanov, R. & Surtaev, A., May 2023, In: International Journal of Multiphase Flow. 162, 104402.

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

  7. Deep learning with synthetic photonic lattices for equalization in optical transmission systems

    Pankov, A. V., Sidelnikov, O. S., Vatnik, I. D., Sukhorukov, A. A. & Churkin, D. V., 20 Nov 2019, Real-Time Photonic Measurements, Data Management, and Processing IV. Li, M., Jalali, B. & Asghari, M. H. (eds.). The International Society for Optical Engineering, 11 p. 111920N. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11192).

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

  8. Deep Reinforcement Learning Control of Cylinder Flow Using Rotary Oscillations at Low Reynolds Number

    Tokarev, M., Palkin, E. & Mullyadzhanov, R., 2 Nov 2020, In: Energies. 13, 22, 11 p., 5920.

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

  9. Dependence of inclusive jet production on the anti-kT distance parameter in pp collisions at √s = 13 TeV

    The CMS collaboration, Dec 2020, In: Journal of High Energy Physics. 2020, 12, 43 p., 82.

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

  10. Deriving eigenmode excitation spectrum of synthetic photonic lattices by means of optical heterodyning

    Tikan, A. M., Vatnik, I. D., Churkin, D. V. & Sukhorukov, A. A., 1 Feb 2017, In: Laser Physics. 27, 2, 6 p., 026203.

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

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