1. 2025
  2. 2024
  3. ПРОГНОЗИРОВАНИЕ МНОГОСТАДИЙНОЙ УСТАЛОСТНОЙ КРИВОЙ НА ОСНОВЕ РЕЛАКСАЦИОННОЙ МОДЕЛИ НЕОБРАТИМОГО ЦИКЛИЧЕСКОГО ДЕФОРМИРОВАНИЯ

    Петров, Ю. В., Селютина, Н. С. & Антонова, М. Н., 6 Dec 2024, In: Доклады Российской академии наук. Физика, технические науки. 517, 1, p. 41-47

    Research output: Contribution to journalArticlepeer-review

  4. Incubation-time-based modeling of the grain-size-influenced yield point phenomenon

    Антонова, М. Н., Чжао, Ш., Петров, Ю. В., Zheng, M. & Li, B., 1 Dec 2024, In: Acta Mechanica. 235, p. 7141–7158

    Research output: Contribution to journalArticlepeer-review

  5. The role of the hydrostatic pressure under dynamic fracture of rocks

    Selyutina, N. S., Igusheva, L. A. & Petrov, Y. V., Jun 2024, In: Materials Physics and Mechanics. 52, 3, p. 108-120 13 p.

    Research output: Contribution to journalArticlepeer-review

  6. Modeling of the thermal softening of metals under impact loads and their temperature–time correspondence

    Zhao, S., Petrov, Y. V., Zhang, Y., Volkov, G. A., Xu, Z. & Huang, F., 1 Jan 2024, In: International Journal of Engineering Science. 194, 103969.

    Research output: Contribution to journalArticlepeer-review

  7. Discovery of FeP/Carbon Dots Nanozymes for Enhanced Peroxidase-Like Catalytic and Antibacterial Activity

    Dong, J., Liu, G., Petrov, Y. V., Feng, Y., Jia, D., Baulin, V. E., Yu.tsivadze, A., Zhou, Y. & Li, B., 2024, In: Advanced healthcare materials. 13, 31, 2402568.

    Research output: Contribution to journalArticlepeer-review

  8. Neural networks with iterative parameter generation for determining parameters of constitutive models

    Чжан, Ю., Чжао, Ш., Казаринов, Н. А. & Петров, Ю. В., 2024, In: Cybernetics and Physics. 13, 4

    Research output: Contribution to journalArticlepeer-review

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