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  1. Low-Temperature Conductance of Nanosystems under Conditions of Weak Coupling with a Microwave Generator

    Jaroshevich, A. S., Tkachenko, V. A., Kvon, Z. D., Kuzmin, N. S., Tkachenko, O. A., Baksheev, D. G., Marchishin, I. V., Bakarov, A. K., Rodyakina, E. E., Antonov, V. A., Popov, V. P. & Latyshev, A. V., Aug 2024, In: Optoelectronics, Instrumentation and Data Processing. 60, 4, p. 505-521 17 p., 8.

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

  2. Light-emitting diodes with Ge(Si) nanoislands embedded in photonic crystals

    Shmagin, V. B., Yablonskiy, A. N., Stepikhova, M. V., Yurasov, D. V., Mikhaylov, A. N., Tetelbaum, D. I., Rodyakina, E. E., Morozova, E. E., Shengurov, D. V., Kraev, S. A., Yunin, P. A., Belov, A. I. & Novikov, A. V., 15 Apr 2024, In: Nanotechnology. 35, 16, 165203.

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

  3. LES study of the precessing vortex core mitigation by radial injection in a Francis turbine air model

    Lutchenko, I. I., Palkin, E. V. & Mullyadzhanov, R. I., 14 Oct 2024, In: E3S Web of Conferences. 578, 6 p., 01018.

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

  4. Learned perturbation-based digital backpropagation with low complexity for nonlinearity compensation

    Редюк, А. А., Шевелев, Е. И., Данилко, В. Р., Bazarov, T., Senko, M., Samodelkin, L., Nanii, O., Treshchikov, V. & Федорук, М. П., 5 Dec 2025, In: OSA Continuum. 4, 12, 18 p., 2896-2913.

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

  5. Large-eddy simulations of Francis turbine flow control by radial jets

    Lutchenko, I. I., Palkin, E. V., Hrebtov, M. Y., Mullyadzhanov, R. I. & Alekseenko, S. V., 4 Feb 2025, In: Physics of Fluids. 37, 2

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

  6. Key Algorithms for Keyphrase Generation: Instruction-Based LLMs for Russian Scientific Keyphrases

    Glazkova, A., Morozov, D. & Garipov, T., 15 Apr 2025, Lecture Notes in Computer Science. Springer, p. 107-119 13 p. (Lecture Notes in Computer Science; vol. 15419 LNCS).

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

  7. Investigation on halloysite nanotube catalysts for heavy oil hydrotreatment

    Vorobyeva, E. E., Khoreshkova, A. A., Polukhin, A. V., Vdovichenko, V. A., Metalnikova, V. M., Lysikov, A. I., Selezneva, D. A. & Parkhomchuk, E. V., 1 Dec 2025, In: Fuel. 401, 135563.

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

  8. Investigation of metabolic features of glioblastoma tissue and the peritumoral environment using targeted metabolomics screening by LC-MS/MS and gene network analysis

    Basov, N. V., Adamovskaya, A. V., Rogachev, A. D., Gaisler, E. V., Demenkov, P. S., Ivanisenko, T. V., Venzel, A. S., Mishinov, S. V., Stupak, V. V., Cheresiz, S. V., Oleshko, O. S., Butikova, E. A., Osechkova, A. E., Sotnikova, Y. S., Patrushev, Y. V., Pozdnyakov, A. S., Lavrik, I. N., Ivanisenko, V. A. & Pokrovsky, A. G., Dec 2024, In: Вавиловский журнал генетики и селекции. 28, 8, p. 882-896 15 p.

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

  9. Interpretation models for data of metal-oxide gas sensors based on machine learning methods

    Kozmin, A. D. & Redyuk, A. A., 2024, In: Journal of Computational Technologies. 29, 4, p. 4-23 20 p.

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

  10. Interpretable logical-probabilistic approximation of neural networks

    Vityaev, E. & Korolev, A., Dec 2024, In: Cognitive Systems Research. 88, 101301.

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

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