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  1. 2020

  2. Quasi-classical approximation for magnetic monopoles

    Kordyukov, Y. A. & Taimanov, I. A., Dec 2020, In: Russian Mathematical Surveys. 75, 6, p. 1067-1088 22 p.

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

  3. Квазиклассическое приближение для магнитных монополей

    Кордюков, Ю. А. & Тайманов, И. А., Dec 2020, In: Успехи математических наук. 75, 6, p. 85-106 21 p.

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

  4. On correlation of hyperbolic volumes of fullerenes with their properties

    Egorov, A. A. & Vesnin, A. Y., 28 Nov 2020, In: Computational and Mathematical Biophysics. 8, 1, p. 150-167 18 p.

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

  5. MHD model of an incompressible polymeric fluid. Linear instability of the resting state

    Blokhin, A. & Tkachev, D., 20 Nov 2020, In: Journal of Physics: Conference Series. 1666, 1, 012007.

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

  6. On well-posedness of the plasma-vacuum interface problem with displacement current in vacuum

    Morando, A., Secchi, P., Trakhinin, Y. & Trebeschi, P., 20 Nov 2020, In: Journal of Physics: Conference Series. 1666, 1, 012053.

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

  7. Development of water flood model for oil production enhancement

    Tsvaki, J. J., Tailakov, D. O. & Pavlovskiy, E. N., 14 Nov 2020, Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020. Institute of Electrical and Electronics Engineers Inc., p. 46-49 4 p. 9303200. (Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020).

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

  8. Using Few-Shot Learning Techniques for Named Entity Recognition and Relation Extraction

    Bondarenko, I., Berezin, S., Pauls, A., Batura, T., Rubtsova, Y. & Tuchinov, B., 14 Nov 2020, Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020. Novosibirsk, Russia: Institute of Electrical and Electronics Engineers Inc., p. 58-65 8 p. 9303192. (Proceedings - 2020 Science and Artificial Intelligence Conference, S.A.I.ence 2020).

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

  9. Вычислительная технология определения параметров химических реакций по измерениям концентраций в дискретные моменты времени в течении реакции

    Шишленин, М. А., Приходько, А. Ю. & Стадниченко, О. А., 13 Nov 2020, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 2020664454, Priority date 6 Nov 2020, Priority No. 2020663804

    Research output: Patent › Software registration

  10. Вычислительная технология определения параметров химических реакций по измерениям концентраций в финальный момент времени

    Шишленин, М. А., Приходько, А. Ю. & Стадниченко, О. А., 13 Nov 2020, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 2020664457, Priority date 6 Nov 2020, Priority No. 2020663771

    Research output: Patent › Software registration

  11. Optimal-size problem kernels for d-Hitting Set in linear time and space

    van Bevern, R. & Smirnov, P. V., 1 Nov 2020, In: Information Processing Letters. 163, 9 p., 105998.

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

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