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  1. 2024

  2. Synthesis and magnetic properties of some monotectic composites containing ultra-dispersed particles of YGdTbDyHo high-entropy alloy

    Uporov, S., Sterkhov, E., Balyakin, I., Bykov, V., Sipatov, I. & Rempel, A., 1 Feb 2024, In: Intermetallics. 165, 108121.

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

  3. Neural network molecular dynamics study of LiGe2(PO4)3: Investigation of structure

    Balyakin, I., Vlasov, M., Pershina, S., Tsymbarenko, D. & Rempel, A., 2024, In: Computational Materials Science. 239, 112979.

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

  4. Prediction of Mechanical Properties of High-Entropy Carbide (Ti0.2Zr0.2Hf0.2Nb0.2Ta0.2)C with the Use of Machine Learning Potential

    Pikalova, N., Balyakin, I., Yuryev, A. & Rempel, A., 2024, In: Doklady Physical Chemistry. 514, 1, p. 9-14 7 p.

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

  5. 2023

  6. Liquid–Crystal Structure Inheritance in Machine Learning Potentials for Network-Forming Systems

    Balyakin, I. A., Ryltsev, R. E. & Chtchelkatchev, N. M., 1 Mar 2023, In: JETP Letters. 117, 5, p. 370-376 7 p.

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

  7. СТРУКТУРНАЯ НАСЛЕДСТВЕННОСТЬ ЖИДКОСТЬ-КРИСТАЛЛ В ПОТЕНЦИАЛАХ МАШИННОГО ОБУЧЕНИЯ ДЛЯ СЕТЕОБРАЗУЮЩИХ СИСТЕМ

    Балякин, И. А., Рыльцев, Р. Е. & Щелкачев, Н. М., 2023, In: Письма в Журнал экспериментальной и теоретической физики. 117, 5-6 (3), p. 377-384 8 p.

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

  8. 2022

  9. Magnetocaloric effect in ScGdTbDyHo high-entropy alloy: Impact of synthesis route

    Uporov, S. A., Estemirova, S. K., Sterkhov, E. V., Balyakin, I. A. & Rempel, A. A., Dec 2022, In: Intermetallics. 151, 107678.

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

  10. Viscosity of liquid gallium: Neural network potential molecular dynamics and experimental study

    Balyakin, I. A., Yuryev, A. A., Filippov, V. V. & Gelchinski, B. R., Dec 2022, In: Computational Materials Science. 215, 111802.

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

  11. Structural evolution in TiZrHfNb high-entropy alloy

    Ryltsev, R. E., Estemirova, S. K., Gaviko, V. S., Yagodin, D. A., Bykov, V. A., Sterkhov, E. V., Cherepanova, L. A., Sipatov, I. S., Balyakin, I. A. & Uporov, S. A., Mar 2022, In: Materialia. 21, 101311.

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

  12. Deep learning potential for superionic phase of Ag2S

    Balyakin, I. A. & Sadovnikov, S. I., 1 Feb 2022, In: Computational Materials Science. 202, 8 p., 110963.

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

  13. Atomistic Calculation of the Melting Point of the High-Entropy Cantor Alloy CoCrFeMnNi

    Balyakin, I. A. & Rempel, A. A., Jan 2022, In: Doklady Physical Chemistry. 502, 1, p. 11-17 7 p.

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

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