1. 2024
  2. 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 journalArticlepeer-review

  3. 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 journalArticlepeer-review

  4. 2023
  5. iOk Platform for Automatic Search and Analysis of Objects in Images Using Artificial Intelligence in the Study of Supported Catalysts

    Nartova, A. V., Matveev, A. V., Mashukov, M. Y., Belotserkovskii, V. A., Sankova, N. N., Kudinov, V. Y. & Okunev, A. G., Aug 2023, In: Kinetics and Catalysis. 64, 4, p. 458-465 8 p.

    Research output: Contribution to journalArticlepeer-review

  6. iOk Platform for Automated Object Detection and Analysis in Microscopy Images

    Kudinov, V. Y., Matveev, A. V., Nartova, A. V., Sankova, N. N., Belotserkovskii, V. A. & Okunev, A. G., 2023, Proceedings of the 2023 IEEE 16th International Scientific and Technical Conference Actual Problems of Electronic Instrument Engineering, APEIE 2023. Institute of Electrical and Electronics Engineers (IEEE), p. 1420-1423 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  7. 2022
  8. Small palladium clusters and their adducts with atomic oxygen

    Lysova, A. A., Benassi, E. & Matveev, A. V., 15 Nov 2022, In: Polyhedron. 227, 116123.

    Research output: Contribution to journalArticlepeer-review

  9. 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 journalArticlepeer-review

  10. Polymer particle growth and morphology evolution during dispersion polymerization through optical microscopy

    Sankova, N., Vyvdenko, D., Luzina, E., Shestakova, D., Babina, K., Malakhova, Y., Yakush, E. & Parkhomchuk, E., Jun 2022, In: Colloid and Polymer Science. 300, 6, p. 625-640 16 p.

    Research output: Contribution to journalArticlepeer-review

  11. Technology for the Multifunctional Hydrothermal Treatment of Oil Residues (Mazut and Tar) on Catalysts with a Hierarchical Structure of Pores

    Parkhomchuk, E. V., Fedotov, K. V., Lysikov, A. I., Polukhin, A. V., Vorob’eva, E. E., Shamanaeva, I. A., San’kova, N. N., Shestakova, D. O., Chikunova, Y. O., Kuznetsov, S. E., Kleimenov, A. V. & Parmon, V. N., Mar 2022, In: Catalysis in Industry. 14, 1, p. 86-114 29 p.

    Research output: Contribution to journalArticlepeer-review

  12. Particle Recognition on Transmission Electron Microscopy Images Using Computer Vision and Deep Learning for Catalytic Applications

    Nartova, A. V., Mashukov, M. Y., Astakhov, R. R., Kudinov, V. Y., Matveev, A. V. & Okunev, A. G., Feb 2022, In: Catalysts. 12, 2, 135.

    Research output: Contribution to journalArticlepeer-review

  13. 2021
  14. Автоматический анализ изображений микроскопии с применением облачного сервиса DLgram01

    Matveev, A. V., Mashukov, M. Y., Nartova, A. V., Sankova, N. N. & Okunev, A. G., 2021, In: Physical and chemical aspects of the study of clusters nanostructures and nanomaterials. 13, p. 300-311 12 p., 32.

    Research output: Contribution to journalArticlepeer-review

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