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  1. Total cross sections of eγ → eXX¯ processes with X = μ, γ, e via multiloop methods

    Lee, R. N., Lyubyakin, A. A. & Stotsky, V. A., Jan 2021, In: Journal of High Energy Physics. 2021, 1, 144.

    Research output: Contribution to journalArticlepeer-review

  2. Toward highly efficient TADF-active Cu(i), Ag(i) and Au(i) carbene complexes using symmetry-based design strategy

    Artem'ev, A. V., Rogovoy, M. I., Odud, I. M., Davydova, M. P., Rakhmanova, M. I., Petrov, P. A., Brel, V. K., Artushin, O. I., Brylev, K. A., Samsonenko, D. G., Berezin, A. S., Gorbunov, D. E. & Gritsan, N. P., 29 Oct 2024, In: Inorganic Chemistry Frontiers. 11, 24, p. 8778-8788 11 p.

    Research output: Contribution to journalArticlepeer-review

  3. Towards mass composition study with KASCADE using deep neural networks

    Kuznetsov, M., Petrov, N., Plokhikh, I. & Sotnikov, V., 14 Dec 2023, In: Proceedings of Science. 423, 8 p., 092.

    Research output: Contribution to journalConference articlepeer-review

  4. Towards optical control of single blood platelet activation

    Spiryova, D. V., Karmatskih, O. Y., Vorob'Ev, A. Y. & Moskalensky, A. E., 1 Jan 2018, SARATOV FALL MEETING 2017: LASER PHYSICS AND PHOTONICS XVIII; AND COMPUTATIONAL BIOPHYSICS AND ANALYSIS OF BIOMEDICAL DATA IV: Laser Physics and Photonics XVIII; and Computational Biophysics and Analysis of Biomedical Data IV. Derbov, VL. & Postnov, DE. (eds.). The International Society for Optical Engineering, Vol. 10717. 7 p. 1071722. (Proceedings of SPIE; vol. 10717).

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

  5. Trainable Thresholds for Neural Network Quantization

    Goncharenko, A., Denisov, A., Alyamkin, S. & Terentev, E., 1 Jan 2019, Advances in Computational Intelligence - 15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Proceedings. Rojas, I., Joya, G. & Catala, A. (eds.). Springer, p. 302-312 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11507 LNCS).

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

  6. Transformation matrices for 3D shape sensing with polyimide-coated multicore optical fiber

    Paloschi, D., Korganbayev, S., Bronnikov, K., Wolf, A., Dostovalov, A. & Saccomandi, P., 1 Jun 2020, 2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 250-254 5 p. 9138221. (2020 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2020 - Proceedings).

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

  7. Transformation of a proton insulator to a conductor: Via reversible amorphous to crystalline structure transformation of MOFs

    Song, Y., Khudozhitkov, A. E., Lee, J., Kang, H., Kolokolov, D. I., Stepanov, A. G. & Yoon, M., 25 Apr 2020, In: Chemical Communications. 56, 32, p. 4468-4471 4 p.

    Research output: Contribution to journalArticlepeer-review

  8. Transformation of the InP(001) surface upon annealing in an arsenic flux

    Dmitriev, D. V., Kolosovsky, D. A., Gavrilova, T. A., Gutakovskii, A. K., Toropov, A. I. & Zhuravlev, K. S., Aug 2021, In: Surface Science. 710, 121861.

    Research output: Contribution to journalArticlepeer-review

  9. Transient phenomena in the draft tube model of a Francis hydro-turbine

    Suslov, D. A., Litvinov, I. V., Gorelikov, E. U. & Shtork, S. I., 21 Nov 2019, In: Journal of Physics: Conference Series. 1359, 1, 5 p., 012016.

    Research output: Contribution to journalConference articlepeer-review

ID: 3088911