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  1. Laser space debris cleaning: Elimination of detrimental self-focusing effects

    Rubenchik, A. M., Vaseva, I. A., Fedoruk, M. P. & Turitsyn, S. K., 1 Jan 2019, In: Optical Engineering. 58, 01, p. 1 8 p., 011003.

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

  2. 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, p. 2896-2913 18 p.

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

  3. Limitations and Perspectives of Raman Dissipative Solitons Phosphosilicate-Fiber Based Source

    Kharenko, D. S. & Bednyakova, A. E., 2022, 2022 International Conference Laser Optics, ICLO 2022 - Proceedingss. Institute of Electrical and Electronics Engineers Inc., 1 p. (2022 International Conference Laser Optics, ICLO 2022 - Proceedingss).

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

  4. Linear stability of supersonic Couette flow of a molecular gas under the conditions of viscous stratification and excitation of the vibrational mode

    Grigor’ev, Y. N. & Ershov, I. V., 1 Jan 2017, In: Fluid Dynamics. 52, 1, p. 9-24 16 p.

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

  5. Linear Stability of the Boundary Layer of Relaxing Gas on a Plate

    Grigor’ev, Y. N. & Ershov, I. V., 1 May 2019, In: Fluid Dynamics. 54, 3, p. 295-307 13 p.

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

  6. Machine learning based characterisation of dissipative solitons

    Kokhanovskiy, A., Bednyakova, A., Kuprikov, E., Ivanenko, A. & Turitsyn, S., 1 Jan 2019, The European Conference on Lasers and Electro-Optics, CLEO_Europe_2019. OSA Publishing, 2019-cj_2_6. (Optics InfoBase Conference Papers; vol. Part F140-CLEO_Europe 2019).

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

  7. Machine Learning Methods for Compensating Signal Distortions in Fiber-Optic Communication Lines

    Sidelnikov, O. S., Redyuk, A. A. & Fedoruk, M. P., Feb 2024, In: Optoelectronics, Instrumentation and Data Processing. 60, 1, p. 1-10 10 p.

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

  8. Mathematical modeling and numerical analysis of reinforced composite beams

    Golushko, S., Buznik, V. & Nuzhny, G., 16 Jul 2019, In: Journal of Physics: Conference Series. 1268, 1, 7 p., 012018.

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

  9. Mathematical modeling and numerical calculation of composite structures

    Golushko, S. K., 22 Oct 2017, In: Journal of Physics: Conference Series. 894, 1, 7 p., 012021.

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

  10. Mathematical Modeling of Antihypertensive Therapy with Azilsartan Medoxomil on the Example of Clinical Data of a Real Patient

    Borodulina, A. D., Kutumova, E. O., Lifshits, G. I. & Kolpakov, F. A., 2023, In: Mathematical Biology and Bioinformatics. 18, 1, p. 228-250 23 p.

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

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