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  1. 14C GIRI SAMPLES in AMS GOLDEN VALLEY: GRAPHITE PREPARATION USING AGE-3 and ABSORPTION-CATALYTIC SETUP

    Parkhomchuk, E. V., Petrozhitskiy, A. V., Ignatov, M. M., Kuleshov, D. V., Lysikov, A. I., Okunev, A. G., Babina, K. A. & Parkhomchuk, V. V., 2 May 2024, In: Radiocarbon. 66, 5, p. 1259-1269 11 p.

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

  2. A bird's-eye overview of molecular mechanisms regulating feed intake in chickens—with mammalian comparisons

    Volyanskaya, A. R., Akberdin, I. R., Kulyashov, M. A., Yevshin, I. S., Romanov, M. N., Shagimardanova, E. I., Gusev, O. A. & Kolpakov, F. A., Jun 2024, In: Animal Nutrition. 17, p. 61-74 14 p.

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

  3. A Cellular-Authomata Model of Sinusoidal Plane Electromagnetic Waves

    Burnyshev, E. & Medvedev, Y., 2026, Parallel Computing Technologies. Malyshkin, V. (ed.). Springer, p. 203-216 14 p. 14. (Lecture Notes in Computer Science; vol. 16185).

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

  4. Acetazolamide-challenged ASL shows comparable performance to CT perfusion for angiographic outcomes in moyamoya angiopathy

    Serdyuk, V., Filimonova, E., Ovsyannikov, K., Parshin, D. & Rzaev, J., Sept 2026, In: Clinical Neurology and Neurosurgery. 268, 9 p., 109517.

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

  5. A Comparative Study of BaGa4S7, BaGa2GeS6, and Ba2Ga8GeS16 Nonlinear Crystals for Optical Parametric Oscillators Pumped at 1 or 2 μm

    Boyko, A. A., Sere, S. E., Erushin, E. Y., Vostrikova, M. V., Kostyukova, N. Y., Shevyrdyayeva, G. S. & Badikov, D. V., Dec 2025, In: Bulletin of the Lebedev Physics Institute. 52, Suppl 9, p. S944-S951 8 p.

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

  6. Active control study in a flow in a model combustion chamber with LES

    Palkin, E., Kundashkin, A., Hrebtov, M. & Mullyadzhanov, R., 14 Oct 2024, In: E3S Web of Conferences. 578, 7 p., 01027.

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

  7. Adjusting U-Net for the aortic abdominal aneurysm CT segmentation case

    Epifanov, R. U., Nikitin, N. A., Rabtsun, A. A., Kurdyukov, L. N., Karpenko, A. A. & Mullyadzhanov, R. I., May 2024, In: Computer Optics. 48, 3, p. 418-424 7 p.

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

  8. Advancing graph neural network architecture for fluid flow and heat transfer surrogate modeling: Variable boundary conditions and geometry

    Travnikov, V., Plokhikh, I. & Mullyadzhanov, R., 1 Dec 2024, In: Physics of Fluids. 36, 12, 127117.

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

  9. A Foundation Model for Brain MRI with Dynamic Modality Integration

    Тучинов, Б. Н. & Luu, M. S. K., 2026, In: Proceedings of the AAAI Conference on Artificial Intelligence.

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

  10. A Hybrid Method for Solving the Two-Dimensional Poisson Equation: Combining U-Net and Conjugate Gradient Method

    Sakharov, D. I., Tsgoev, C. A. & Mullyadzhanov, R. I., 2025, In: Lobachevskii Journal of Mathematics. 46, 8, p. 3777-3790 14 p., 16.

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

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