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  1. 2024

  2. Neural network approach to impact parameter estimation in high-energy collisions using the microchannel plate detector data

    Галактионов, К. А., Руднев, В. А. & Валиев, Ф. Ф., 17 Jan 2024, In: Moscow University Physics Bulletin (English Translation of Vestnik Moskovskogo Universiteta, Fizika). 78, 1, p. S52-S58

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

  3. 2023

  4. Theoretical Study of Antihydrogen Formation Reactions in the Three Body e+e− {\bar p} System via Faddeev–Merkuriev Equations in Total Orbital Momentum Representation.

    Градусов, В. А., Руднев, В. А., Яревский, Е. А. & Яковлев, С. Л., 1 Aug 2023, In: Bulletin of the Russian Academy of Sciences: Physics. 87, 8, p. 1200-1206 7 p.

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

  5. Artificial Neural Networks Application in Estimating the Impact Parameter in Heavy Ion Collisions Using the Microchannel Plate Detector Data

    Галактионов, К. А., Руднев, В. А. & Валиев, Ф. Ф., 2 Jun 2023, (Accepted/In press) In: Physics of Atomic Nuclei. 86 , 6

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

  6. Application of Neural Networks for Event-by-Event Evaluation of the Impact Parameter

    Galaktionov, K., Rudnev, V. & Valiev, F., 1 Jun 2023, In: Physics of Particles and Nuclei. 54, 3, p. 446-448 3 p.

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

  7. Artificial Neural Networks Application in Estimating the Impact Parameter in Heavy Ion Collisions Using the Microchannel Plate Detector Data: Physics of Atomic Nuclei

    Galaktionov, K. A., Roudnev, V. A. & Valiev, F. F., 2023, In: Phys. At. Nucl.. 86, 6, p. 1426-1432 7 p.

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

  8. Solving the Three-Dimensional Faddeev–Merkuriev Equations via Spline Collocation and Tensor Product Preconditioning

    Яковлев, С. Л., Градусов, В. А., Руднев, В. А. & Яревский, Е. А., 2023, Parallel Computational Technologies. : 17th International Conference, PCT 2023, Saint Petersburg, Russia, March 28-30, 2023, Revised Selected Papers. Sokolinsky, L. & Zimber, M. (eds.). Springer Nature, p. 63-77 15 p. (Communications in Computer and Information Science; vol. 1868).

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

  9. 2022

  10. Approximate Methods for Solving Problems of Mathematical Physics on Neural Hopfield Networks

    Boykov, I., Roudnev, V. & Boykova, A., 24 Jun 2022, In: Mathematics. 10, 13, 2207.

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

  11. Stability of Solutions to Systems of Nonlinear Differential Equations with Discontinuous Right-Hand Sides: Applications to Hopfield Artificial Neural Networks

    Boykov, I., Roudnev, V. & Boykova, A., 1 May 2022, In: Mathematics. 10, 9, 1524.

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

  12. Approximate Methods for Calculating Singular and Hypersingular Integrals with Rapidly Oscillating Kernels

    Boykov, I., Roudnev, V. & Boykova, A., 1 Apr 2022, In: Axioms. 11, 4, 150.

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

  13. Performance Optimization of Simulation and Event Reconstruction Software in the BM@N NICA Experiment

    Nemnyugin, S., Driuk, A., Merts, S., Roudnev, V., Stepanova, M. & Iufryakova, A., Apr 2022, In: Physics of Particles and Nuclei. 53, 2, p. 577–581 5 p.

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

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