1. Smirnov A.S. Kanakin V.S. Konovalov A.V. Neural Network Modeling of Microstructure Formation in an AlMg6/10 % SiC Metal Matrix Composite and Identification of Its Softening Mechanisms under High-Temperature Deformation // Applied Sciences. 2023. Vol. 13. № 2. 939 p. [10.3390/app13020939].
    WoS 

  2. Smirnov A.S. Konovalov A.V. Kanakin V.S. Spirina I.A. Simulation of the Rheological Behavior and Dynamic Simulation of the Behavior and Dynamic Recrystallization of Rheological the Heterogenized Alloy Recrystallization of the Heterogenized V95 ( 7075 ) Alloy // Procedia Structural Integrity. 2023. V. 50. P. 266–274. [10.1016/j.prostr.2023.10.050].
    Scopus 

  3. Kanakin V.S. Smirnov A.S. Konovalov A.V. Neural network modeling of the flow stress of the AlMg6/10% SiC metal matrix composite under deformation at high temperatures // Procedia Structural Integrity. 2022. Vol. 40. P. 194-200. [10.1016/j.prostr.2022.04.026].
    WoS 

  4. Smirnov A.S. Smirnova (Yekzemplyarova) E.O. Konovalov A.V. Kanakin V.S. Using the Instrumented Indentation Technique to Determine Damage in Sintered Metal Matrix Composites after High-Temperature Deformation // Applied Sciences-Basel. 2021. Vol. 11. Iss. 22. 10590. https://doi.org/10.3390/app112210590.
    WoS  Scopus 

  5. Smirnov A.S. Konovalov A.V. Kanakin V.S. Neural Network Modeling of the Rheology of the Almg6 Alloy under the Dispersoid Barrier Effect and the Inhibition of Dynamic Relaxation Processes [Electronic resource] // Diagnostics, Resource and Mechanics of materials and structures. 2020. Iss. 6. P. 10-26. DOI: 10.17804/2410-9908.2020.6.010-026.