1. 2023
  2. Simulation of wettability of nanotextured surfaces by molecular dynamics

    Andryushchenko, V. A., Artishevskii, K. V. & Smovzh, D. V., Oct 2023, In: Journal of Applied Mechanics and Technical Physics. 64, 5, p. 814-820 7 p.

    Research output: Contribution to journalArticlepeer-review

  3. Unsteady Cloud Cavitation on a 2D Hydrofoil: Quasi-Periodic Loads and Phase-Averaged Flow Characteristics

    Ivashchenko, E., Hrebtov, M., Timoshevskiy, M., Pervunin, K. & Mullyadzhanov, R., Oct 2023, In: Energies. 16, 19, 6990.

    Research output: Contribution to journalArticlepeer-review

  4. Разработка и верификация упрощенного hp-варианта метода коллокации и наименьших квадратов для нерегулярных областей

    Брындин, Л. С., Беляев, В. А. & Шапеев, В. П., Aug 2023, In: Вестник ЮУрГУ. Серия "Математическое моделирование и программирование". 16, 3, p. 35-50 16 p., 3.

    Research output: Contribution to journalArticlepeer-review

  5. Numerical Simulations of Swirling Water Jet Atomization: A Mesh Convergence Study

    Vozhakov, I. S., Hrebtov, M. Y., Yavorsky, N. I. & Mullyadzhanov, R. I., Jul 2023, In: Water (Switzerland). 15, 14, 2552.

    Research output: Contribution to journalArticlepeer-review

  6. Study of vortex breakdown in immiscible media using the lattice Boltzmann equations method

    Salnikov, M. V., Kinzin, K. S., Naumov, I. V. & Mullyadzhanov, R. I., Jul 2023, In: Thermophysics and Aeromechanics. 30, 4, p. 601-614 14 p.

    Research output: Contribution to journalArticlepeer-review

  7. Direct Numerical Simulation of the Peripheral and Internal Configurations of a Model Assembly of Fuel Elements

    Ivashchenko, V. A., Lobanov, P. D., Yavorsky, N. I., Tokarev, M. P. & Mullyadzhanov, R. I., Jun 2023, In: Journal of Applied and Industrial Mathematics. 17, 2, p. 320-325 6 p.

    Research output: Contribution to journalArticlepeer-review

  8. Microchannel Surface Structures for Drag Reduction

    Gluzdov, D. S. & Gatapova, E. Y., Jun 2023, In: Journal of Engineering Thermophysics. 32, 2, p. 214-241 28 p.

    Research output: Contribution to journalArticlepeer-review

  9. Activated Carbon-Enriched Electrospun-Produced Scaffolds for Drug Delivery/Release in Biological Systems

    Nazarkina, Z. K., Stepanova, A. O., Chelobanov, B. P., Kvon, R. I., Simonov, P. A., Karpenko, A. A. & Laktionov, P. P., 4 Apr 2023, In: International Journal of Molecular Sciences. 24, 7, 6713.

    Research output: Contribution to journalArticlepeer-review

  10. Numerical Study of Ethanol Suspension Combustion in Air

    Ponomarev, A. A., Sharaborin, D. K., Khrebtov, M. Y., Mullyadzhanov, R. I. & Dulin, V. M., Apr 2023, In: Combustion, Explosion and Shock Waves. 59, 2, p. 129-136 8 p.

    Research output: Contribution to journalArticlepeer-review

  11. Композиция для нанесения фотоактивного покрытия на поверхность пористых и непористых материалов и обеспечения окислительной деструкции химических веществ

    Селищев, Д. С., Степанов, Г. А., Соловьева, М. И., Журавлев, Е. С., Рихтер, В. А. & Козлов, Д. В., 29 Mar 2023, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 2793180, Priority date 9 Sept 2022, Priority No. 2022123949

    Research output: PatentPatent for invention

  12. The strong activity of noctilucent clouds at middle latitudes in 2020

    Dalin, P., Suzuki, H., Pertsev, N., Perminov, V., Shevchuk, N., Tsimerinov, E., Zalcik, M., Brausch, J., McEwan, T., McEachran, I., Connors, M., Schofield, I., Dubietis, A., Černis, K., Zadorozhny, A., Solodovnik, A., Lifatova, D., Grønne, J., Hansen, O., Andersen, H., & 4 othersMelnikov, D., Manevich, A., Gusev, N. & Romejko, V., 1 Mar 2023, In: Polar Science. 35, 100920.

    Research output: Contribution to journalArticlepeer-review

  13. Numerical Simulation of a Swirling Flow in a Francis Draft Tube

    Palkin, E. V., Hrebtov, M. Y., Mullyadzhanov, R. I., Litvinov, I. V. & Alekseenko, S. V., Mar 2023, In: Journal of Applied and Industrial Mathematics. 17, 1, p. 156-162 7 p.

    Research output: Contribution to journalArticlepeer-review

  14. Parametric RANS Simulation of a Cavitation Flow in the Channel of a Control Valve Cage

    Ivashchenko, E. I., Ivashchenko, V. A., Plokhikh, I. A., Mardanov, A. R., Melemchuk, I. A., Pimenov, N. K. & Mullyadzhanov, R. I., Mar 2023, In: Journal of Applied and Industrial Mathematics. 17, 1, p. 86-93 8 p.

    Research output: Contribution to journalArticlepeer-review

  15. Backflow phenomenon in converging and diverging channels

    Zaripov, D., Li, R., Lukyanov, A., Skrypnik, A., Ivashchenko, E., Mullyadzhanov, R. & Markovich, D., Jan 2023, In: Experiments in Fluids. 64, 1, 11 p., 9.

    Research output: Contribution to journalArticlepeer-review

  16. Diagnosis Neuro-Oncology Diseases via Artificial Intelligence and Multi-Sequence MRI Methods

    Letyagin, A., Amelina, E., Tuchinov, B., Groza, V., Amelin, M., Golushko, S. & Pavlovskiy, E., 2023, 2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 112-117 6 p. (2023 IEEE Ural-Siberian Conference on Computational Technologies in Cognitive Science, Genomics and Biomedicine, CSGB 2023 - Proceedings).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  17. Direct Numerical Simulation of the Turbulent Flow Laminarization in a Pipe at Re = 5000

    Zaripov, D. I., Ivashchenko, V. A., Panteleev, S. A., Luk’yanov, A. A. & Mullyadzhanov, R. I., 2023, In: Russian Aeronautics. 66, 4, p. 723-730 8 p.

    Research output: Contribution to journalArticlepeer-review

  18. Image-based classification of wheat spikes by glume pubescence using convolutional neural networks

    Artemenko, N. V., Genaev, M. A., Epifanov, R. U., Komyshev, E. G., Kruchinina, Y. V., Koval, V. S., Goncharov, N. P. & Afonnikov, D. A., 2023, In: Frontiers in Plant Science. 14, 16 p., 1336192.

    Research output: Contribution to journalArticlepeer-review

  19. 2022
  20. Bimetallic NiM/C (M = Cu and Mo) Catalysts for the Hydrogen Oxidation Reaction: Deciphering the Role of Unintentional Surface Oxides in the Activity Enhancement

    Oshchepkov, A. G., Simonov, P. A., Kuznetsov, A. N., Shermukhamedov, S. A., Nazmutdinov, R. R., Kvon, R. I., Zaikovskii, V. I., Kardash, T. Y., Fedorova, E. A., Cherstiouk, O. V., Bonnefont, A. & Savinova, E. R., 16 Dec 2022, In: ACS Catalysis. 12, 24, p. 15341-15351 11 p.

    Research output: Contribution to journalArticlepeer-review

  21. A Deep Reinforcement Learning Algorithm for Smart Control of Hysteresis Phenomena in a Mode-Locked Fiber Laser

    Kokhanovskiy, A., Shevelev, A., Serebrennikov, K., Kuprikov, E. & Turitsyn, S., 1 Dec 2022, In: Photonics. 9, 12, 921.

    Research output: Contribution to journalArticlepeer-review

ID: 34758441