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  1. Deep reinforcement learning for self-tuning laser source of dissipative solitons

    Kuprikov, E., Kokhanovskiy, A., Serebrennikov, K. & Turitsyn, S., Dec 2022, In: Scientific Reports. 12, 1, 7185.

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

  2. Designing Mamyshev oscillator cavity by particle swarm optimization algorithm

    Kuprikov, E., Perepelov, A., Kokhanovskiy, A., Bednyakova, I. A. & Turitysin, S., 2022, 2022 International Conference Laser Optics, ICLO 2022 - Proceedingss. Institute of Electrical and Electronics Engineers Inc., 1 p. 9840077. (2022 International Conference Laser Optics, ICLO 2022 - Proceedingss).

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

  3. Diagnosis Neuro-Oncology Diseases via Artificial Intelligence and Multi-Sequence MRI Methods

    Letyagin, A., Amelina, E., Tuchinov, B., Groza, V., Amelin, M., Golushko, S. & Pavlovskiy, E., 2023, 2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 112-117 6 p. (2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2023 - Proceedings).

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

  4. Directional modeling concept for large strain metal plasticity

    Shutov, A. V. & Vardosanidze, O. D., Mar 2026, In: European Journal of Mechanics, A/Solids. 116, Part A, 20 p., 105897.

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

  5. Direct Numerical Simulation of the Peripheral and Internal Configurations of a Model Assembly of Fuel Elements

    Ivashchenko, V. A., Lobanov, P. D., Yavorsky, N. I., Tokarev, M. P. & Mullyadzhanov, R. I., Jun 2023, In: Journal of Applied and Industrial Mathematics. 17, 2, p. 320-325 6 p.

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

  6. Direct Numerical Simulation of the Turbulent Flow Laminarization in a Pipe at Re = 5000

    Zaripov, D. I., Ivashchenko, V. A., Panteleev, S. A., Luk’yanov, A. A. & Mullyadzhanov, R. I., 2023, In: Russian Aeronautics. 66, 4, p. 723-730 8 p.

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

  7. Dynamics, Phase Transitions, and Hydrogen Bonding Motifs in Protic Ionic Liquids: Cations Make the Difference

    Khudozhitkov, A. E., Stange, P., Stepanov, A. G., Schröder, D., Rauber, D., Philippi, F., Kolokolov, D. I. & Ludwig, R., 31 Jul 2025, In: Journal of Physical Chemistry B. 129, 30, p. 7796-7805 10 p.

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

  8. Effect of Cation Size and Symmetry in Substituted Ammonium Tetrafluoroborates on Their Thermal, Structural, and Transport Properties

    Stebnitskii, I., Mateyshina, Y., Chuikov, I. & Uvarov, N., 2025, In: Journal of Physical Chemistry C. 129, 36, p. 16380-16387 8 p.

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

  9. Effect of Deposition and Annealing Temperatures on the Phase Composition of TiO2 Films Obtained by Atomic Layer Deposition from Titanium Tetrachloride and Water

    Khizhnyak, E. A., Shayapov, V. R., Korolkov, I. V., Dudkina, S. P., Geydt, P. V. & Lebedev, M. S., 10 Mar 2025, In: Journal of Structural Chemistry. 66, 2, p. 293-303 11 p.

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

  10. Effect of temperature on the action spectra of pristine and Cu-grafted titania

    Lyulyukin, M. N., Kovalevskiy, N. S., Fedorova, E. A., Selishchev, D. S. & Kozlov, D. V., 1 Mar 2022, In: Mendeleev Communications. 32, 2, p. 278-280 3 p.

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

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