1. Decay of Unstable Strong Discontinuities in the Case of a Convex-Flux Scalar Conservation Law Approximated by the CABARET Scheme

    Zyuzina, N. A. & Ostapenko, V. V., 1 Jun 2018, In: Computational Mathematics and Mathematical Physics. 58, 6, p. 950-966 17 p.

    Research output: Contribution to journalArticlepeer-review

  2. Declustering of macroparticles in long-term simulations of plasma wakefield acceleration

    Kargapolov, I. Y., Okhotnikov, N. V., Shalimova, I. A., Sosedkin, A. P. & Lotov, K. V., 2025, In: Physics of Plasmas. 32, 2, 023905.

    Research output: Contribution to journalArticlepeer-review

  3. Deep learning with synthetic photonic lattices for equalization in optical transmission systems

    Pankov, A. V., Sidelnikov, O. S., Vatnik, I. D., Sukhorukov, A. A. & Churkin, D. V., 20 Nov 2019, Real-Time Photonic Measurements, Data Management, and Processing IV. Li, M., Jalali, B. & Asghari, M. H. (eds.). The International Society for Optical Engineering, 11 p. 111920N. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11192).

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

  4. Deep neural networks with time-domain synthetic photonic lattices

    Pankov, A. V., Sidelnikov, O. S., Vatnik, I. D., Churkin, D. V. & Sukhorukov, A. A., 2021, European Quantum Electronics Conference, EQEC 2021. The Optical Society, jsiv_p_3. (Optics InfoBase Conference Papers).

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

  5. Deep Neural Networks with Time-Domain Synthetic Photonic Lattices

    Pankov, A. V., Sidelnikov, O. S., Vatnik, I. D., Churkin, D. V. & Sukhorukov, A. A., Jun 2021, 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021. Institute of Electrical and Electronics Engineers Inc., (2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021).

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

  6. Deep reinforcement learning algorithm for self-tuning 8-figure fiber laser

    Kokhanovskiy, A., Kuprikov, E., Serebrennikov, K. & Turitsyn, S., Jun 2021, 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021. Institute of Electrical and Electronics Engineers Inc., 1 p. (2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021).

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

  7. Deep reinforcement learning algorithm for self-tuning 8-figure fiber laser

    Kokhanovskiy, A., Kuprikov, E., Serebrennikov, K. & Turitsyn, S., 2021, The European Conference on Lasers and Electro-Optics, CLEO/Europe 2021. The Optical Society, cj_4_3. (Optics InfoBase Conference Papers).

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

  8. Deep reinforcement learning for self-tuning laser source of dissipative solitons

    Kuprikov, E., Kokhanovskiy, A., Serebrennikov, K. & Turitsyn, S., Dec 2022, In: Scientific Reports. 12, 1, 7185.

    Research output: Contribution to journalArticlepeer-review

  9. Degenerations of Zinbiel and nilpotent Leibniz algebras

    Kaygorodov, I., Popov, Y., Pozhidaev, A. & Volkov, Y., 3 Apr 2018, In: Linear and Multilinear Algebra. 66, 4, p. 704-716 13 p.

    Research output: Contribution to journalArticlepeer-review

  10. Delay-differential-equation model for mode-locked lasers based on nonlinear optical and amplifying loop mirrors

    Vladimirov, A. G., Suchkov, S., Huyet, G. & Turitsyn, S. K., Sept 2021, In: Physical Review A. 104, 3, 033525.

    Research output: Contribution to journalArticlepeer-review

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