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  1. Effect of Pretreatment with Acids on the N-Functionalization of Carbon Nanofibers Using Melamine

    Maksimova, T. A., Mishakov, I. V., Bauman, Y. I., Ayupov, A. B., Mel’gunov, M. S., Dmitrachkov, A. M., Nartova, A. V., Stoyanovskii, V. O. & Vedyagin, A. A., Nov 2022, In: Materials. 15, 22, 8239.

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

  2. DLgram cloud service for deep-learning analysis of microscopy images

    Matveev, A. V., Nartova, A. V., Sankova, N. N. & Okunev, A. G., May 2024, In: Microscopy Research and Technique. 87, 5, p. 991-998 8 p.

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

  3. Deep machine learning for STEM image analysis

    Nartova, A. V., Matveev, A. V., Kovtunova, L. M. & Okunev, A. G., Nov 2024, In: Mendeleev Communications. 34, 6, p. 774-775 2 p.

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

  4. Application of a Convolutional Neural Network for Automated Analysis of X-ray Photoelectron Spectra of Heterogeneous Catalysts

    Vakhrushev, A. A., Matveev, A. V. & Nartova, A. V., 25 Feb 2025, In: Kinetics and Catalysis. 65, 6, p. 788-796 9 p.

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

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