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  1. Controlling the Melting Temperatures and Ion Dynamics of Carboxy-Functionalized Ionic Liquids

    Khudozhitkov, A. E., Hunger, L., Al Sheakh, L., Stepanov, A. G., Kolokolov, D. I. & Ludwig, R., 6 Nov 2025, In: The journal of physical chemistry. B. 129, 44, p. 11557-11563 7 p.

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

  2. Controlling the phase behavior and ion mobility of trialkylammonium-based protic ionic liquids: the role of asymmetry

    Zhalnina, T. V., Tatarintseva, E. V., Prikhod’ko, S. A., Khudozhitkov, A. E., Stepanov, A. G., Kolokolov, D. I. & Ludwig, R., 2026, In: Physical Chemistry Chemical Physics.

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

  3. Control of the Structural-Phase Composition of Titanium Matrix Composites during Direct Laser Deposition

    Gertsel, I. S. & Golyshev, A. A., Jun 2025, In: Journal of Applied Mechanics and Technical Physics. 66, 3, p. 482-486 5 p., 7.

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

  4. Creation of an algorithm for estimation of contact angles on textured surface applicable for molecular dynamics method

    Andryushchenko, V. A., Artishevskii, K. V. & Solnyshkina, O. A., 31 Mar 2025, In: Eurasian Journal of Mathematical and Computer Applications. 13, 1, p. 26-36 11 p., 3.

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

  5. CVD–Grown CNTs on metallized fly ash cenospheres as tunable microwave–functional fillers

    Nuriakhmetov, Z. N., Nerushev, O. A., Betke, I. A., Chernousov, Y. D., Smovzh, D. V., Komarov, A. G. & Savichev, V. I., Mar 2026, In: Materials Research Bulletin. 196, 10 p., 113929.

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

  6. Data acquisition in a simplified turbine model for prediction of unsteady vortex phenomena

    Skripkin, S., Suslov, D., Gorelikov, E., Tsoy, M. & Litvinov, I., 2024, In: Journal of Physics: Conference Series. 2752, 1, 7 p., 012211.

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

  7. 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

  8. 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

  9. 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

  10. 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

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