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  1. Machine learning methods for development of data-driven turbulence models

    Yakovenko, S. N. & Razizadeh, O., 26 Oct 2020, High-Energy Processes in Condensed Matter, HEPCM 2020: Proceedings of the XXVII Conference on High-Energy Processes in Condensed Matter, Dedicated to the 90th Anniversary of the Birth of RI Soloukhin. Fomin, V. M. (ed.). American Institute of Physics Inc., 5 p. 030065. (AIP Conference Proceedings; vol. 2288).

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

  2. Mat-Flow – модель течения многофазного флюида в скважине

    Брылякова, А. А., Васюкова, И. В., Кузнецова, Ю. И., Нагорнева, Я. Е., Новокрещина, А. А., Соколов, П. П., Хогоева, Е. Е., Чернова, Е. С., Тайлаков, Д. О. & Мержоева, Л., 2 Feb 2023, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 2023612417, Priority date 16 Dec 2022, Priority No. 2022685729

    Research output: Patent › Software registration

  3. Mathematical methods in solutions of the problems presented at the third international students' olympiad in cryptography

    Tokareva, N., Gorodilova, A., Agievich, S., Idrisova, V., Kolomeec, N., Kutsenko, A., Oblaukhov, A. & Shushuev, G., Jun 2018, In: Прикладная дискретная математика. 40, p. 34-58 25 p.

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

  4. Mathematical Modeling and Forecasting of COVID-19 in Moscow and Novosibirsk Region

    Krivorot’ko, O. I., Kabanikhin, S. I., Zyat’kov, N. Y., Prikhod’ko, A. Y., Prokhoshin, N. M. & Shishlenin, M. A., Oct 2020, In: Numerical Analysis and Applications. 13, 4, p. 332-348 17 p.

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

  5. 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

  6. Mathematical modeling of degenerative diseases

    Voropaeva, O. F., Bayadilov, T. V., Leontiev, S. V., Senotrusova, S. D., Tsgoev, C. A. & Shokin, Y. I., 2 Nov 2018, 19th International Conference on the Methods of Aerophysical Research, ICMAR 2018. Fomin (ed.). American Institute of Physics Inc., Vol. 2027. 6 p. 030075. (AIP Conference Proceedings; vol. 2027).

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

  7. Mathematical Modeling of Myocardial Perfusion Diagnosed by the Method of Single-Photon Emission Computed Tomography

    Kolinko, I. P., Denisova, N. V. & Ansheles, A. A., 1 Sept 2020, In: Technical Physics. 65, 9, p. 1436-1441 6 p.

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

  8. Mathematical Modeling of Three-dimensional Stress-strain State of Homogeneous and Composite Cylindrical Axisymmetric Shells

    Gorynin, A. G., Gorynin, G. L. & Golushko, S. K., 2024, In: Journal of Siberian Federal University - Mathematics and Physics. 17, 1, p. 27-37 11 p.

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

  9. Mathematical modelling of acute phase of myocardial infarction

    Tsgoev, C. A., Voropaeva, O. F. & Shokin, Y. I., 28 Apr 2020, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 35, 2, p. 111-126 16 p.

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

  10. Mathematical modelling of liquid meniscus shape in cylindrical micro-channel for normal and micro gravity conditions

    Marchuk, I. & Lyulin, Y., 25 Oct 2017, In: EPJ Web of Conferences. 159, 0056.

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

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