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  1. 2020

  2. Modeling the heat resistance of nickel-based superalloys by a deep learning neural network

    Tarasov, D. A., Tyagunov, A. G. & Milder, O. B., 24 Nov 2020, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019. Simos, T. & Tsitouras, C. (eds.). American Institute of Physics Inc., 4 p. 140020. (AIP Conference Proceedings; vol. 2293).

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

  3. Printing paper as a reflector with idealized properties: How to link the paper industry and printing art

    Tarasov, D. A., Tyagunov, A. G. & Milder, O. B., 24 Nov 2020, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2019. Simos, T. & Tsitouras, C. (eds.). American Institute of Physics Inc., 4 p. 140017. (AIP Conference Proceedings; vol. 2293).

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

  4. МОДЕЛИРОВАНИЕ ИЗМЕНЕНИЯ ПРЕДЕЛА ДЛИТЕЛЬНОЙ ПРОЧНОСТИ СПЛАВОВ НА ОСНОВЕ НИКЕЛЯ С ИСПОЛЬЗОВАНИЕМ БАЙЕСОВСКИХ ИСКУССТВЕННЫХ НЕЙРОННЫХ СЕТЕЙ

    Anoshina, O. V., Trubnikova, A. S., Milder, O. B., Tarasov, D. A., Ganeev, A. A. & Tyagunov, A. G., Feb 2020, In: Letters on Materials. 10, 1, p. 106-111 6 p.

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

  5. О СТРУКТУРЕ И СВОЙСТВАХ НЕКОТОРЫХ ЖАРОПРОЧНЫХ НИКЕЛЕВЫХ СПЛАВОВ

    Тягунов, Г. В., Барышев, Е. Е., Тягунов, А. Г., Вандышева, И. В., Зайцева, Н. А. & Мушников, В. С., 2020, In: Вестник Южно-Уральского государственного университета. Серия: Металлургия. 20, 2, p. 57-70 14 p.

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

  6. ТЕХНОЛОГИЧЕСКИЙ ПРИЕМ ПОВЫШЕНИЯ КАЧЕСТВЕННЫХ ПОКАЗАТЕЛЕЙ СТРУКТУРЫ И СВОЙСТВ СТАЛЕЙ И СПЛАВОВ, А ТАКЖЕ РЕНТАБЕЛЬНОСТИ ИХ ПРОИЗВОДСТВА

    Барышев, Е. Е., Тягунов, Г. В., Цепелев, В. С., Вандышева, И. В., Тягунов, А. Г., Мушников, В. С., Акшенцев, Ю. Н., Зайцева, Н. А. & Шмакова, К. Ю., 2020, In: Международный научно-исследовательский журнал. 9-1 (99) , p. 36-40 5 p.

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

  7. 2019

  8. ANN approach for Larson-Miller factor approximation in the space of alloy features

    Sydikhov, A. S., Tyagunov, A. G., Milder, O. B. & Ganeev, A. A., 24 Jul 2019, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2018. Simos, T. & Tsitouras, C. (eds.). American Institute of Physics Inc., Vol. 2116. 4 p. 200015. (AIP Conference Proceedings; vol. 2116).

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

  9. Application of artificial neural networks for the alloy features assessment based on the alloy compound

    Sydikhov, A. S., Tyagunov, A. G., Milder, O. B. & Ganeev, A. A., 24 Jul 2019, International Conference on Numerical Analysis and Applied Mathematics, ICNAAM 2018. Simos, T. & Tsitouras, C. (eds.). American Institute of Physics Inc., Vol. 2116. 4 p. 200014. (AIP Conference Proceedings; vol. 2116).

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

  10. Application of Bayesian Artificial Neural Networks for Modeling the Dependence of Nickel-Based Superalloys' Ultimate Tensile Strength on Their Chemical Composition

    Tarasov, D., Milder, O. & Tyagunov, A., May 2019, Proceedings - 2019 3rd International Conference on Control, Artificial Intelligence, Robotics and Optimization, ICCAIRO 2019. Institute of Electrical and Electronics Engineers Inc., p. 54-60 7 p. 9057165. (Proceedings - 2019 3rd International Conference on Control, Artificial Intelligence, Robotics and Optimization, ICCAIRO 2019).

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

  11. High-Temperature Melt Treatment in the Production of Heat-Resistant Alloys with a High Content of Foundry Wastes

    Tyagunov, A. G., Baryshev, E. E., Tyagunov, G. V., Kostina, T. K. & Shmakova, K. Y., 1 Mar 2019, In: Steel in Translation. 49, 3, p. 163-167 5 p.

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

  12. Способ оценки равновесности металлических расплавов: патент на изобретение

    Тягунов, Г. В., Цепелев, В. С., Поводатор, А. М., Барышев, Е. Е., Вьюхин, В. В., Тягунов, А. Г. & Мушников, В. С., 1 Mar 2019, IPC No. G01N 11/16, G01N 27/00, Федеральный институт промышленной собственности, Patent No. 2680984, 26 Dec 2017, Priority No. 2017146126

    Research output: Patent

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