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  1. 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

  2. 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

  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 and Numerical Modeling of the Pluripotency Gene Network Dynamics

    Golubyatnikov, V. P. & Tatarinova, E. A., 18 Mar 2025, In: Numerical Analysis and Applications. 18, 1, p. 36-43 8 p.

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

  5. 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

  6. Manufacturing and Research of Mirrors with a Wide Bandwidth for Synchrotron Applications

    Akhasakhalyan, A. A., Garakhin, S. A., Dar’in, F. A., Zorina, M. V., Kriventsov, V. V., Pershin, D. D., Pestov, A. E., Pleshkov, R. S., Polkovnikov, V. N., Rakshun, Y. V., Salaschenko, N. N., Svetokhin, S. S., Svechnikov, M. V., Sorokoletov, D. S., Chernov, V. A. & Chkhalo, N. I., 18 Sept 2024, In: Technical Physics. 69, 3, p. 468-474 7 p.

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

  7. 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

  8. Machine learning-based predicting of the equilibrium cation distribution in faujasite-type zeolites

    Гренев, И. В., Бобков, М. Е., Иванов, А. Д., Uliankina, A. I. & Шубин, А. А., 1 Feb 2025, In: Materials Chemistry and Physics. 349, Part 2, 11 p., 131853.

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

  9. Machine Learning-Based Preconditioner to Solve Poisson Equation

    Chekmeneva, E., Khachova, T. & Lisitsa, V., 2026, Lecture Notes in Computer Science. Springer, p. 376-387 12 p. 25. (Lecture Notes in Computer Science; vol. 15888 LNCS).

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

  10. Lumbar MRI and Back Pain After Failed Conservative Treatment: The RuDDS Study

    Leonova, O., Elgaeva, E., Berdnikova, A., Tsepilov, Y. & Krutko, A., 2025, In: Global spine journal. p. 21925682251373046

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

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