1. Article › Research › Peer-reviewed
  2. X-ray Diffraction Investigation of the Evolution of Dust-Laden Jets from the Metal Surface

    Vlasov, A. N., Zhuravlev, A. V., Pashentsev, V. A., Smirnov, V. N., Smirnov, E. B., Stolbikov, M. Y., Cheremazov, V. E., Ten, K. A., Pruuel, E. R., Kashkarov, A. O., Rubtsov, I. A. & Kremenko, S. I., 1 Jul 2019, In: Combustion, Explosion and Shock Waves. 55, 4, p. 409-417 9 p.

    Research output: Contribution to journalArticlepeer-review

  3. Zinc(II) Complexes with Tetrafluoroterephthalic and Octafluorobiphenyl-4,4′-dicarboxylic Acid Anions and 1,10-Phenanthroline

    Larionov, S. V., Rakhmanova, M. I., Glinskaya, L. A., Naumov, D. Y., Vinogradov, A. S., Karpov, V. M., Platonov, V. E. & Fadeeva, V. P., 1 Feb 2019, In: Russian Journal of General Chemistry. 89, 2, p. 261-265 5 p.

    Research output: Contribution to journalArticlepeer-review

  4. Σ-Definability in Hereditarily Finite Superstructures and Computable Analysis

    Aleksandrova, S. A., 1 Sept 2018, In: Siberian Mathematical Journal. 59, 5, p. 763-767 5 p.

    Research output: Contribution to journalArticlepeer-review

  5. Математическое моделирование функционирования сигнального пути p53 при повреждении ДНК.I. Модель активации системы p53 - Mdm2 - Wip

    Olga, V. F. & Ksenia, G. S., 2021, In: Journal of Computational Technologies. 26, 6, p. 33-53 21 p., 3.

    Research output: Contribution to journalArticlepeer-review

  6. Особенности создания базы данных нейроонкологических 3D МРТ-изображений для обучения искусственного интеллекта

    Амелина, Е. В., Летягин, А. Ю., Тучинов, Б. Н., Толстокулаков, Н. Ю., Амелин, М. Е., Павловский, Е., Гроза, В. В. & Голушко, С. К., 2022, In: Сибирский научный медицинский журнал. 42, 6, p. 51-59 9 p., 6.

    Research output: Contribution to journalArticlepeer-review

  7. Comment/debate › Research › Peer-reviewed
  8. Erratum to: Electrical Conductivity Distribution in Detonating Benzotrifuroxane

    Satonkina, N., Ershov, A., Kashkarov, A., Mikhaylov, A., Pruuel, E., Rubtsov, I., Spirin, I. & Titova, V., 1 Aug 2018, In: Scientific Reports. 8, 1, p. 11788 2 p., 11788.

    Research output: Contribution to journalComment/debatepeer-review

  9. Chapter › Research › Peer-reviewed
  10. Web-Based Computational Tools for the Prediction and Analysis of Posttranslational Modifications of Proteins

    Ivanisenko, V. A., Ivanisenko, T. V., Saik, O. V., Demenkov, P. S., Afonnikov, D. A. & Kolchanov, N. A., 1 Jan 2019, Methods in Molecular Biology. Humana Press Inc., Vol. 1934. p. 1-20 20 p. (Methods in Molecular Biology; vol. 1934).

    Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

  11. Conference contribution › Research › Peer-reviewed
  12. 3D Seismic Inversion for Fracture Model Reconstruction Based on Machine Learning

    Протасов, М. И., Кенжин, Р. М. & Павловский, Е., 2023, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Science and Business Media Deutschland GmbH, p. 105-117 13 p. 8. (Lecture Notes in Computer Science (LNCS); vol. 14389).

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

  13. Applying Variational Circuits in Deep Learning Architectures for Improving Discriminative Power of Speaker Embeddings

    Blankson, R. & Pavlovskiy, E., 2022, Proceedings of International Conference on Data Science and Applications, ICDSA 2021. Saraswat, M., Roy, S., Chowdhury, C. & Gandomi, A. H. (eds.). Springer Nature Singapore ed. Singapore: Springer Science and Business Media Deutschland GmbH, Vol. 287. p. 483-492 10 p. (Lecture Notes in Networks and Systems; vol. 287).

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

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