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  1. 2023

  2. The fractional composition calculation of two-component mixtures using direct and scattered X-rays: a new methodology testing

    Badazhkov, D., Usov, E., Tyazhev, A., Serdyuk, D., Tailakov, D., Ulyanov, V., Vinnik, A., Skakunov, M., Shaymerdenova, L., Tolbanov, O., Mashnin, A., Spirin, A., Stenin, V. & Alekseev, I., 1 Jan 2023, In: Journal of Instrumentation. 18, 1, P01042.

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

  3. Development of Virtual Flow-Meter Concept Techniques for Ground Infrastructure Management

    Vylegzhanin, R., Cheremisin, A., Kolchanov, B., Lykhin, P., Kurmangaliev, R., Kozlov, M., Usov, E. & Ulyanov, V., Jan 2023, In: Energies. 16, 1, 400.

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

  4. Monte Carlo simulation of laser pulse scattering in crystal clouds

    Prigarin, S. M. & Mironova, D. E., 2023, Proceedings of SPIE - The International Society for Optical Engineering. The International Society for Optical Engineering, Vol. 12780. 7 p. 1278011

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

  5. Monte Carlo study of lidar returns depending on the cloud optical depth

    Kablukova, E. G. & Prigarin, S. M., 2023, Proceedings of SPIE - The International Society for Optical Engineering. The International Society for Optical Engineering, Vol. 12780. 7 p. 127801A

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

  6. Статистическое моделирование. Методы Монте-Карло

    Михайлов, Г. А. & Войтишек, А. В., 2023, Москва: Юрайт. 323 p.

    Research output: Book/Report › Teaching manual › peer-review

  7. Численное статистическое моделирование процесса переноса оптической радиации в случайных кристаллических средах

    Kargin, B. A., Mu, Q. & Kablukova, E. G., 2023, In: Siberian Electronic Mathematical Reports. 20, 1, p. 486-500 15 p.

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

  8. 2022

  9. Estimation of the average particle flux in a stochastically homogeneous medium by Monte Carlo method

    Lotova, G. Z. & Mikhailov, G. A., 1 Dec 2022, In: Russian Journal of Numerical Analysis and Mathematical Modelling. 37, 6, p. 363-371 9 p.

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

  10. Stochastic Simulation Algorithms for Solving Transient Anisotropic Diffusion-recombination Equations and Application to Cathodoluminescence Imaging

    Sabelfeld, K. K. & Kireeva, A. E., 1 Dec 2022, In: Methodology and Computing in Applied Probability. 24, p. 3029-3048 20 p.

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

  11. Stochastic model and simulation of GaN nanowires formation characterized by long incubation time followed by burst nucleation and growth

    Sabelfeld, K. K. & Kablukova, E. G., Oct 2022, In: Computational Materials Science. 213, 111664.

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

  12. Monte Carlo Simulation of Ring-Shaped Structures of Laser Pulse Radiation Scattered in Atmospheric Clouds and Water Media

    Prigarin, S. M. & Mironova, D. E., Sept 2022, In: Numerical Analysis and Applications. 15, 3, p. 247-255 9 p.

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

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