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  1. 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

  2. Magnetic field and orientation dependence of solid-state CIDNP

    Sosnovsky, D. V., Lukzen, N. N., Vieth, H. M., Jeschke, G., Gräsing, D., Bielytskyi, P., Matysik, J. & Ivanov, K. L., 7 Mar 2019, In: Journal of Chemical Physics. 150, 9, 10 p., 094105.

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

  3. Magnetic and Electronic Properties of Gd-Doped Topological Insulator Bi1.09Gd0.06Sb0.85Te3

    Filnov, S. O., Surnin, Y. A., Koroleva, A. V., Klimovskikh, I. I., Estyunin, D. A., Varykhalov, A. Y., Bokai, K. A., Kokh, K. A., Tereshchenko, O. E., Golyashov, V. A., Shevchenko, E. V. & Shikin, A. M., 1 Sept 2019, In: Journal of Experimental and Theoretical Physics. 129, 3, p. 404-412 9 p.

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

  4. 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

  5. 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

  6. 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

  7. 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

  8. Machine learning and applications in ultrafast photonics

    Genty, G., Salmela, L., Dudley, J. M., Brunner, D., Kokhanovskiy, A., Kobtsev, S. & Turitsyn, S. K., Feb 2021, In: Nature Photonics. 15, 2, p. 91-101 11 p.

    Research output: Contribution to journal › Review article › peer-review

  9. Luminosity measurements for the R scan experiment at BESIII

    BESIII Collaboration, 1 Jun 2017, In: Chinese Physics C. 41, 6, 10 p., 063001.

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

  10. Luminosity determination in pp collisions at √s = 8 TeV using the ATLAS detector at the LHC

    The ATLAS collaboration, 1 Dec 2016, In: European Physical Journal C. 76, 12, 653.

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

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