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  1. Defect-related luminescence in InAlAs on InP grown by molecular beam epitaxy

    Gilinsky, A. M., Dmitriev, D. V., Toropov, A. I. & Zhuravlev, K. S., 17 Aug 2017, In: Semiconductor Science and Technology. 32, 9, 8 p., 095009.

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

  2. 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 journal › Article › peer-review

  3. 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 proceeding › Conference contribution › Research › peer-review

  4. 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 proceeding › Conference contribution › Research › peer-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 proceeding › Conference contribution › Research › peer-review

  6. 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 proceeding › Conference contribution › Research › peer-review

  7. 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 proceeding › Conference contribution › Research › peer-review

  8. Deep learning segmentation to analyze bubble dynamics and heat transfer during boiling at various pressures

    Malakhov, I., Seredkin, A., Chernyavskiy, A., Serdyukov, V., Mullyadzanov, R. & Surtaev, A., May 2023, In: International Journal of Multiphase Flow. 162, 104402.

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

  9. Deep Learning for the Precise Peak Detection in High-Resolution LC-MS Data

    Melnikov, A. D., Tsentalovich, Y. P. & Yanshole, V. V., 7 Jan 2020, In: Analytical Chemistry. 92, 1, p. 588-592 5 p.

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

  10. Decomposition Pathways of Titanium Isopropoxide Ti(OiPr)4: New Insights from UV-Photodissociation Experiments and Quantum Chemical Calculations

    Ershov, K. S., Kochubei, S. A., Kiselev, V. G. & Baklanov, A. V., 1 Feb 2018, In: Journal of Physical Chemistry A. 122, 4, p. 1064-1070 7 p.

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

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