1. 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 journalArticlepeer-review

  2. Dark matter in R+R2 cosmology

    Arbuzova, E. V., Dolgov, A. D. & Singh, R. S., 8 Apr 2019, In: Journal of Cosmology and Astroparticle Physics. 2019, 4, 16 p., 014.

    Research output: Contribution to journalArticlepeer-review

  3. 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 journalArticlepeer-review

  4. DarkSide-20k: A 20 tonne two-phase LAr TPC for direct dark matter detection at LNGS

    The Darkside Collaboration, 29 Mar 2018, In: European Physical Journal Plus. 133, 3, 129 p., 131.

    Research output: Contribution to journalArticlepeer-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 journalArticlepeer-review

  6. 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 journalArticlepeer-review

  7. Decomposition Pathways of Titanium Isopropoxide Ti(OiPr)4: New Insights from UV-Photodissociation Experiments and Quantum Chemical Calculations

    Ershov, K. S., Kochubei, S. A., Kiselev, V. G. & Baklanov, A. V., 1 Feb 2018, In: Journal of Physical Chemistry A. 122, 4, p. 1064-1070 7 p.

    Research output: Contribution to journalArticlepeer-review

  8. Deep Learning for the Precise Peak Detection in High-Resolution LC-MS Data

    Melnikov, A. D., Tsentalovich, Y. P. & Yanshole, V. V., 7 Jan 2020, In: Analytical Chemistry. 92, 1, p. 588-592 5 p.

    Research output: Contribution to journalArticlepeer-review

  9. 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 journalArticlepeer-review

  10. 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, p. 24 11 p. 111920N. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11192).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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