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  1. Impact of the material hydroxylation on the possibility of pentane isomers separation by UiO-66 (Zr) MOF: A combined 2H NMR and MD study

    Khudozhitkov, A. E., Arzumanov, S. S., Kolokolov, D. I. & Stepanov, A. G., Nov 2024, In: Microporous and Mesoporous Materials. 379, 9 p., 113283.

    Research output: Contribution to journalArticlepeer-review

  2. Impact of incident Mach wave on supersonic boundary layer

    Vaganov, A. V., Ermolaev, Y. G., Kolosov, G. L., Kosinov, A. D., Panina, A. V., Semionov, N. V. & Yatskikh, A. A., 1 Jan 2016, In: Thermophysics and Aeromechanics. 23, 1, p. 43-48 6 p.

    Research output: Contribution to journalArticlepeer-review

  3. Impact of Co Atoms on the Electronic Structure of Bi2Te3 and MnBi2Te4 Topological Insulators

    Makarova, T. P., Estyunin, D. A., Fil’nov, S. O., Glazkova, D. A., Pudikov, D. A., Rybkin, A. G., Gogina, A. A., Aliev, Z. S., Amiraslanov, I. R., Mamedov, N. T., Kokh, K. A., Tereshchenko, O. E., Shikin, A. M., Otrokov, M. M., Chulkov, E. V. & Klimovskikh, I. I., May 2022, In: Journal of Experimental and Theoretical Physics. 134, 5, p. 607-614 8 p.

    Research output: Contribution to journalArticlepeer-review

  4. Identities and n-Ary Kulakov Algebras

    Neshchadim, M. V. & Simonov, A. A., Jun 2023, In: Siberian Advances in Mathematics. 33, 2, p. 140-150 11 p.

    Research output: Contribution to journalArticlepeer-review

  5. Identification of the precessing vortex core in a hydro turbine model using local stability analysis and stochastic modeling

    Litvinov, I., Sieber, M. & Oberleithner, K., 2022, In: IOP Conference Series: Earth and Environmental Science. 1079, 1, 012052.

    Research output: Contribution to journalConference articlepeer-review

  6. Identification of the Hermite-Gaussian and Bessel modes of a terahertz beam with diffractive optical elements

    Осинцева, Н. Д., Герасимов, В. В., Чопорова, Ю. Ю., Кукотенко, В. Д., Павеляев, В. С. & Князев, Б. А., 1 Apr 2024, In: Journal of Optical Technology (A Translation of Opticheskii Zhurnal). 91, 4, p. 215 - 221 7 p.

    Research output: Contribution to journalArticlepeer-review

  7. Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques

    The CMS collaboration, 1 Jun 2020, In: Journal of Instrumentation. 15, 6, 87 p., P06005.

    Research output: Contribution to journalArticlepeer-review

  8. Identification of hadronic tau lepton decays using a deep neural network

    The CMS collaboration, 1 Jul 2022, In: Journal of Instrumentation. 17, 7, P07023.

    Research output: Contribution to journalArticlepeer-review

  9. Identification of electromagnetic and hadronic EASs using neural network for TAIGA scintillation detector array

    the TAIGA Collaboration, 1 May 2022, In: Journal of Instrumentation. 17, 5, P05023.

    Research output: Contribution to journalArticlepeer-review

  10. Identification of boosted Higgs bosons decaying into b-quark pairs with the ATLAS detector at 13 TeV

    The ATLAS collaboration, Пелеганчук, С. В. & Bogdanchikov, A. G., 1 Oct 2019, In: European Physical Journal C. 79, 10, 38 p., 836.

    Research output: Contribution to journalArticlepeer-review

ID: 3085556