1. 2022
  2. Novel InGaSb/AlP Quantum Dots for Non-Volatile Memories

    Abramkin, D. S. & Atuchin, V. V., Nov 2022, In: Nanomaterials. 12, 21, 3794.

    Research output: Contribution to journalArticlepeer-review

  3. 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

  4. A Deep Reinforcement Learning Algorithm for Smart Control of Hysteresis Phenomena in a Mode-Locked Fiber Laser

    Kokhanovskiy, A., Shevelev, A., Serebrennikov, K., Kuprikov, E. & Turitsyn, S., 1 Dec 2022, In: Photonics. 9, 12, 921.

    Research output: Contribution to journalArticlepeer-review

  5. Dislocation Filter Based on LT-GaAs Layers for Monolithic GaAs/Si Integration

    Petrushkov, M. O., Abramkin, D. S., Emelyanov, E. A., Putyato, M. A., Komkov, O. S., Firsov, D. D., Vasev, A. V., Yesin, M. Y., Bakarov, A. K., Loshkarev, I. D., Gutakovskii, A. K., Atuchin, V. V. & Preobrazhenskii, V. V., 14 Dec 2022, In: Nanomaterials. 12, 24, 4449.

    Research output: Contribution to journalArticlepeer-review

  6. 2023
  7. Manipulating the harmonic mode-locked regimes inside a fiber cavity by a reinforcement learning algorithm

    Кохановский, А. Ю., Куприков, Е. А., Серебренников, К. В., Mkrtchyan, A. A., Davletkhanov, A. & Gladush, Y., 2023, In: Proceedings of SPIE - The International Society for Optical Engineering. 12775, 4 p., 127750N.

    Research output: Contribution to journalConference articlepeer-review

  8. Structure evolution of fluorapophyllite-(K) under high pressure

    Seryotkin, Y. V. & Ignatov, M. A., 2023, In: High Pressure Research. 43, 4, p. 279-292 14 p.

    Research output: Contribution to journalArticlepeer-review

  9. Using PCA Machine Learning Approach Based on Psychological Questionnaires and Spectral Characteristics of the EEG to Separate the Healthy Participants and Participants with Major Depressive Disorder

    Merkulova, E. A., Kozulin, I. A., Savostyanov, A. N., Bocharov, A. V. & Privodnova, E. Y., 2023, 24th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2023; Novosibirsk; Russian Federation; 29 June 2023 до 3 July 2023. Institute of Electrical and Electronics Engineers (IEEE), p. 1740-1745 6 p.

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

  10. Measuring the geometric parameters of ice by phase triangulation method in a limited volume with refraction of optical signals

    Zuev, V. O., Dvoinishnikov, S. V., Meledin, V. G., Rakhmanov, V. V., Sadbakov, O. Y. & Kabardin, I. K., Jan 2023, In: Thermophysics and Aeromechanics. 30, 1, p. 121-126 6 p.

    Research output: Contribution to journalArticlepeer-review

  11. Mu2e Run I Sensitivity Projections for the Neutrinoless Conversion Search in Aluminum

    Mu2e Collaboration, Jan 2023, In: Universe. 9, 1, 38 p., 54.

    Research output: Contribution to journalArticlepeer-review

  12. Dynamics of Vacancy Formation and Distribution in Semiconductor Heterostructures: Effect of Thermally Generated Intrinsic Electrons

    Shamirzaev, T. S., Atuchin, V. V., Zhilitskiy, V. E. & Gornov, A. Y., 11 Jan 2023, In: Nanomaterials. 13, 2, 308.

    Research output: Contribution to journalArticlepeer-review

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