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  1. Near-infrared photoresponse in Ge/Si quantum dots enhanced by localized surface plasmons supported by aluminum nanodisks

    Yakimov, A. I., Kirienko, V. V., Bloshkin, A. A., Dvurechenskii, A. V. & Utkin, D. E., 14 Oct 2020, In: Journal of Applied Physics. 128, 14, 9 p., 143101.

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

  2. Near-infrared photoresponse in ge/si quantum dots enhanced by photon-trapping hole arrays

    Yakimov, A. I., Kirienko, V. V., Bloshkin, A. A., Utkin, D. E. & Dvurechenskii, A. V., Sept 2021, In: Nanomaterials. 11, 9, 2302.

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

  3. Neural nerwork approach for plug flow analysis in microchannels

    Seredkin, A. V. & Yagodnitsyna, A. A., 2022, In: Interfacial Phenomena and Heat Transfer. 10, 1, p. 15-24 10 p.

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

  4. New graphene derivative with: N -methylpyrrolidone: Suspension, structural, optical and electrical properties

    Yakimchuk, E., Volodin, V. & Antonova, I., 21 Jun 2019, In: Physical Chemistry Chemical Physics. 21, 23, p. 12494-12504 11 p.

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

  5. New Method of Porous Ge Layer Fabrication: Structure and Optical Properties

    Gorokhov, E. B., Astankova, K. N., Azarov, I. A., Volodin, V. A. & Latyshev, A. V., 1 May 2018, In: Semiconductors. 52, 5, p. 628-631 4 p.

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

  6. New Spin-Polarized Electron Source Based on Alkali Antimonide Photocathode

    Rusetsky, V. S., Golyashov, V. A., Eremeev, S. V., Kustov, D. A., Rusinov, I. P., Shamirzaev, T. S., Mironov, A. V., Demin, A. Y. & Tereshchenko, O. E., 14 Oct 2022, In: Physical Review Letters. 129, 16, 166802.

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

  7. 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 journal › Article › peer-review

  8. Numerical and experimental study of the slug-flow regime in a mixture of castor and paraffin oils in a T-type microchannel

    Minakov, A. V., Shebeleva, A. A., Yagodnitsyna, A. A., Kovalev, A. V. & Bilsky, A. V., 1 Sept 2017, In: Technical Physics Letters. 43, 9, p. 857-859 3 p.

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

  9. On Practical Approach to Uniform Quantization of Non-redundant Neural Networks

    Goncharenko, A., Denisov, A., Alyamkin, S. & Terentev, E., 1 Jan 2019, Artificial Neural Networks and Machine Learning – ICANN 2019: Deep Learning - 28th International Conference on Artificial Neural Networks, Proceedings. Tetko, I. V., Karpov, P., Theis, F. & Kurková, V. (eds.). Springer, p. 349-360 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11728 LNCS).

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

  10. On Raman scattering cross section ratio of crystalline and microcrystalline to amorphous silicon

    Zhigunov, D. M., Kamaev, G. N., Kashkarov, P. K. & Volodin, V. A., 9 Jul 2018, In: Applied Physics Letters. 113, 2, 4 p., 023101.

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

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