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  1. Aggregation of α-crystallins in kynurenic acid-sensitized UVA photolysis under anaerobic conditions

    Sherin, P. S., Zelentsova, E. A., Sormacheva, E. D., Yanshole, V. V., Duzhak, T. G. & Tsentalovich, Y. P., 7 Apr 2016, In: Physical Chemistry Chemical Physics. 18, 13, p. 8827-8839 13 p.

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

  2. Aggregation Tree Construction Using Hierarchical Structures

    Ерзин, А. И., Плотников, Р. & Ладыгин, И. С., 2023, Mathematical Optimization Theory and Operations Research - 22nd International Conference, MOTOR 2023, Proceedings. Goos, G. & Hartmanis, J. (eds.). Springer, p. 101-114 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13930 LNCS).

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

  3. Ag(I), Au(I) and Au(I)-Ag(I) clusters based on tris[(6-methylpyridin-2-yl)methyl]phosphine

    Artem'ev, A. V., Kuzmina, U. A., Baranov, A. Y., Novikov, A. S. & Bagryanskaya, I. Y., Mar 2024, In: Inorganic Chemistry Communications. 161, 112131.

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

  4. AGIS: Integration of new technologies used in ATLAS Distributed Computing

    Anisenkov, A., Di Girolamo, A. & Pradillo, M. A., 23 Nov 2017, In: Journal of Physics: Conference Series. 898, 9, 092023.

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

  5. A Given Diameter MST on a Random Graph

    Gimadi, E. K., Shevyakov, A. S. & Shtepa, A. A., 2020, Optimization and Applications - 11th International Conference, OPTIMA 2020, Proceedings. Olenev, N., Evtushenko, Y., Khachay, M. & Malkova, V. (eds.). Springer, p. 110-121 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12422 LNCS).

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

  6. A global random walk on grid algorithm for second order elliptic equations

    Sabelfeld, K. K. & Smirnov, D., 1 Sept 2021, In: Monte Carlo Methods and Applications. 27, 3, p. 211-225 15 p., 20212092.

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

  7. A Global Random Walk on Spheres algorithm for calculating the solution and its derivatives of the drift-diffusion-reaction equations

    Sabelfeld, K. & Kireeva, A., Feb 2022, In: Mathematical Methods in the Applied Sciences. 45, 3, p. 1420-1431 12 p.

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

  8. A global random walk on spheres algorithm for transient heat equation and some extensions

    Sabelfeld, K. K., 1 Mar 2019, In: Monte Carlo Methods and Applications. 25, 1, p. 85-96 12 p.

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

  9. [{AgL}2Mo8O26]n- complexes: A combined experimental and theoretical study

    Chupina, A. V., Shayapov, V., Novikov, A. S., Volchek, V. V., Benassi, E., Abramov, P. A. & Sokolov, M. N., 1 Jan 2020, In: Dalton Transactions. 49, 5, p. 1522-1530 9 p.

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

  10. A glucose biosensor based on novel Lutetium bis-phthalocyanine incorporated silica-polyaniline conducting nanobeads

    Al-Sagur, H., Komathi, S., Karakaş, H., Atilla, D., Gürek, A. G., Basova, T., Farmilo, N. & Hassan, A. K., 15 Apr 2018, In: Biosensors and Bioelectronics. 102, p. 637-645 9 p.

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

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