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  1. Magnetic resonance imaging of catalytically relevant processes

    Svyatova, A. I., Kovtunov, K. V. & Koptyug, I. V., 1 Jan 2021, In: Reviews in Chemical Engineering. 37, 1, p. 3-29 27 p.

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

  2. Magnetic field dependence of triplet-state ONP: theoretical analysis in terms of level anti-crossings

    Sosnovsky, D. V. & Ivanov, K. L., 1 Jan 2019, In: Molecular Physics. 117, 19, p. 2740-2755 16 p.

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

  3. Magnetic field dependence of the para-ortho conversion rate of molecular hydrogen in SABRE experiments

    Snadin, A. V., Chuklina, N. O., Kiryutin, A. S., Lukzen, N. N. & Yurkovskaya, A. V., Mar 2024, In: Journal of Magnetic Resonance. 360, 8 p., 107630.

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

  4. Magnetic and structural properties of barium hexaferrite BaFe12O19 from various growth techniques

    Vinnik, D. A., Tarasova, A. Y., Zherebtsov, D. A., Gudkova, S. A., Galimov, D. M., Zhivulin, V. E., Trofimov, E. A., Nemrava, S., Perov, N. S., Isaenko, L. I. & Niewa, R., 25 May 2017, In: Materials. 10, 6, 11 p., 578.

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

  5. Magnetic and mechanical design of large-aperture variable-period permanent magnet undulator

    Davidyuk, I., Shevchenko, O. A., Tcheskidov, V. G. & Vinokurov, N. A., 21 Jan 2019, In: Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 915, p. 36-39 4 p.

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

  6. Magnetic and dielectric properties of carbon nanotubes with embedded cobalt nanoparticles

    Andreev, A. S., Kazakova, М. A., Ishchenko, A. V., Selyutin, A. G., Lapina, O. B., Kuznetsov, V. L. & d'Espinose de Lacaillerie, J. B., 1 Apr 2017, In: Carbon. 114, p. 39-49 11 p.

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

  7. Machine Learning Methods for Control of Fibre Lasers with Double Gain Nonlinear Loop Mirror

    Kokhanovskiy, A., Ivanenko, A., Kobtsev, S., Smirnov, S. & Turitsyn, S., 27 Feb 2019, In: Scientific Reports. 9, 1, p. 2916 7 p., 2916.

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

  8. Machine learning-based pulse characterization in figure-eight mode-locked lasers

    Kokhanovskiy, A., Bednyakova, A., Kuprikov, E., Ivanenko, A., Dyatlov, M., Lotkov, D., Kobtsev, S. & Turitsyn, S., 1 Jul 2019, In: Optics Letters. 44, 13, p. 3410-3413 4 p.

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

  9. Machine Learning Based Characterisation of Dissipative Solitons

    Кохановский, А. Ю., Беднякова, А. Е., Куприков, Е. А., Иваненко, А. В. & Турицын, С. К., 17 Oct 2019, 2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019. Institute of Electrical and Electronics Engineers Inc., 1 p. 8873378. (2019 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2019).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  10. Machine learning based characterisation of dissipative solitons

    Kokhanovskiy, A., Bednyakova, A., Kuprikov, E., Ivanenko, A. & Turitsyn, S., 1 Jan 2019, The European Conference on Lasers and Electro-Optics, CLEO_Europe_2019. OSA Publishing, 2019-cj_2_6. (Optics InfoBase Conference Papers; vol. Part F140-CLEO_Europe 2019).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

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