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  1. Wavelet-Based Machine Learning Algorithms for Photoacoustic Gas Sensing

    Kozmin, A., Erushin, E., Miroshnichenko, I., Kostyukova, N., Boyko, A. & Redyuk, A., Jun 2024, In: Optics. 5, 2, p. 207-222 16 p.

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

  2. Wavelength dependent gap-mode TERS by CdSe nanocrystals on a single Au nanodisk

    Milekhin, I. A., Rahaman, M., Tsarev, A. V., Anikin, K. V., Rodyakina, E. E., Duda, T. A., Saidzhonov, B. M., Vasiliev, R. B., Milekhin, A. G., Latyshev, A. V. & Zahn, D. R. T., 30 Mar 2025, In: Applied Surface Science. 686, 162144.

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

  3. Virtual Cities: From Digital Twins to Autonomous AI Societies

    Nechesov, A., Dorokhov, I. & Ruponen, J., 2025, In: IEEE Access. 13, p. 13866-13903 38 p.

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

  4. Validation of Smagorinsky LES turbulence model in FluidX3D LBM: in-place vs central difference

    Plekhanov, M. & Mullyadzhanov, R., 14 Oct 2024, In: E3S Web of Conferences. 578, 6 p., 01029.

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

  5. Tunable Optical Parametric Oscillator Based on MgO:PPLN and HgGa2S4 Crystals Pumped by an Nd:YAG Laser with Increased Energy Characteristics

    Erushin, E. Y., Yakovin, M. D., Latkin, N. I., Podzyvalov, S. N., Kostyukova, N. Y. & Boyko, A. A., Apr 2024, In: Bulletin of the Lebedev Physics Institute. 51, Suppl 1, p. S39-S50 12 p.

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

  6. Transfer Learning Approaches for Brain Metastases Screenings

    Luu, M. S. K., Tuchinov, B. N., Suvorov, V., Kenzhin, R. M., Amelina, E. V. & Letyagin, A. Y., Nov 2024, In: Biomedicines. 12, 11, 2561.

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

  7. The role of asymmetry and volume of thrombotic masses in the formation of local deformation of the aneurysmal-altered vascular wall: An in vivo study and mathematical modeling

    Tikhvinsky, D., Maus, M., Lipovka, A., Nikitin, N., Epifanov, R., Volkova, I., Mullyadzhanov, R., Chupakhin, A., Parshin, D. & Karpenko, A., Jun 2024, In: PLoS ONE. 19, 6 June, p. e0301047 19 p., e0301047.

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

  8. Temperature-Based Long-Term Stabilization of Photoacoustic Gas Sensors Using Machine Learning

    Borozdin, P., Erushin, E., Kozmin, A., Bednyakova, A., Miroshnichenko, I., Kostyukova, N., Boyko, A. & Redyuk, A., Dec 2024, In: Sensors. 24, 23, 7518.

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

  9. Targeting type I DED interactions at the DED filament serves as a sensitive switch for cell fate decisions

    König, C., Ivanisenko, N. V., Hillert-Richter, L. K., Namjoshi, D., Natu, K., Espe, J., Reinhold, D., Kolchanov, N. A., Ivanisenko, V. A., Kähne, T., Bose, K. & Lavrik, I. N., 21 Nov 2024, In: Cell Chemical Biology. 31, 11, p. 1969-1985.e6 24 p.

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

  10. Swirling flow of two immiscible fluids in a cylindrical container: Lattice Boltzmann and volume-of-fluid study

    Salnikov, M. V., Vozhakov, I. S., Naumov, I. V. & Mullyadzhanov, R. I., 1 Jan 2024, In: Physics of Fluids. 36, 1, 013601.

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

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