Publications 2022

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Articles of MLIT employees in the scientific journals "Physics of Particles and Nuclei" and "Physics of Particles and Nuclei Letters"

  1. Baddour A., Malykh M. D. On the Difference Schemes for the Many-Body Problem Preserving All Algebraic Integrals. Particles and Nuclei, Letters. Volume 19, issue 1(240). P. 61–66
  2. Popov Yu. V., Volobuev I. P., Chuluunbaatar O., Houamer S. Compton Ionization of Atoms as a New Method of Spectroscopy of Outer Shells. Physics of Elementary Particles and Atomic Nuclei. Volume 53, issue 2, P. 192-202
  3. Dementev D. V., Baranov A. V., Elsha V. V., Kharlamov P. I., Lavrik E., Merkin M. M., Murin Yu. A., Senger A., Senger P., Sheremetev A. D., Shitenkow M. O., Sukhov N. V. The Silicon Tracking System as a Part of Hybrid Tracker of BM@N Experiment. Abstracts. Physics of Elementary Particles and Atomic Nuclei. Volume 53, issue 2, P. 203
  4. Kostenko B. F. Possibility of Existence of New Dibaryons below Pion Production Threshold. Abstracts. Physics of Elementary Particles and Atomic Nuclei. Volume 53, issue 2, P. 224
  5. Zinchenko D., Zinchenko A., Nikonov E. Track Reconstruction in the Upgraded Tracking System of MPD/NICA. Abstracts. Physics of Elementary Particles and Atomic Nuclei. Volume 53, issue 2, P. 479
  6. Perepelkin E. E., Sadovnikov B. I., Inozemtseva N. G., Rudamenko R. A., Tarelkin A. A., Sysoev P. N., Polyakova R. V., Sadovnikova M. B. Chains: From Spin Glasses to Deep Learning. Abstracts. Physics of Elementary Particles and Atomic Nuclei. Volume 53, issue 4, P. 904-930
  7. Friesen A. V., Goderidze D., Kalinovsky Yu. L. Optimisation of Monte Carlo Integration for Estimating of the Pion Damping Width. Particles and Nuclei, Letters. Volume 19, issue 4(243). P. 337
  8. Palichik V., Voytishin N. Reconstruction of Simulated and Experimental Data in the Drift Chambers of the BM@N Experiment. Abstracts. Particles and Nuclei, Letters. Volume 19, issue 5(244). P. 409
  9. Alexandrov E., Alexandrov I., Chebotov A., Gertsenberger K., Filozova I., Priakhina D., Shestakova G. Status of the Configuration Information System for the NICA Experiments. Abstracts. Particles and Nuclei, Letters. Volume 19, issue 5(244). P. 429
  10. Balashov N., Burtebayev N., Korenkov V., Kutovskiy N., Mazhitova Ye., Satyshev I., Semenov R. CERN–JINR–INP–KazNU Data Center: Current Status and Plans. Abstracts. Particles and Nuclei, Letters. Volume 19, issue 5(244). P. 430
  11. Baranov D. Software Development for Tracking Detectors in the BM@N Experiment. Particles and Nuclei, Letters. Volume 19, issue 5(244). P. 431-436
  12. Bashashin M., Zemlyanaya E., Kiselev M., Lukyanov K., Turapbay K. SFF Analysis of a Small-Angle Scattering Data from Phospholipid Vesicles Systems: Online Interface and Parallel Implementation. Abstracts. Particles and Nuclei, Letters. Volume 19, issue 5(244). P. 437
  13. Friesen A. V., Goderidze D., Kalinovsky Yu. L. Optimization of Monte Carlo Integration of the Multidimensional Collision Integral. Abstracts. Particles and Nuclei, Letters. Volume 19, issue 5(244). P. 441
  14. Gerasimchuk M., Uzhinskiy A. R-CNN Plant Diseases Detector Using Triplet Loss and Siamese Neural Networks. Abstracts. Particles and Nuclei, Letters. Volume 19, issue 5(244). P. 442
  15. Kakenov M., Zemlyanaya E. V., Kukulin V. I., Pomerantsev V. N., Bayakhmetov O. OpenMP Implementation of Dibaryon-Induced Three-Body Force Potential Calculation. Abstracts. Particles and Nuclei, Letters. Volume 19, issue 5(244). P. 443
  16. Pelevanyuk I. S., Tsaregorodtsev A. Yu. DIRAC Interware as a Service for High-Throughput Computing at JINR. Abstracts. Particles and Nuclei, Letters. Volume 19, issue 5(244). P. 445-446
  17. Zaikina T., Filozova I., Shestakova G., Semenov R., Kunyaev S. JDS-JOIN2 Repository as a Workspace for Scientific Output. Abstracts. Particles and Nuclei, Letters. Volume 19, issue 5(244). P. 447
  18. Shirikova N. Yu., Sushkov A. V., Malov L. A., Kolganova E. A., Jolos R. V. Microscopically Derived Grodzins Relation and Prediction of the Excitation Energies of the 21+ States for Some Superheavy Nuclei. Abstracts. Physics of Elementary Particles and Atomic Nuclei. Volume 53, issue 6, P. 1421
  19. Akishin P. G., Ladygin V. P. Optimization of the Ring Imaging Cherenkov Photodetector Shielding Box for Compressed Baryonic Matter Experiment. Abstracts. Particles and Nuclei, Letters. Volume 19, issue 6(245). P. 627
  20. Kashunin I. A., Mitsyn V. V., Strizh T. A. Operating Principles of the Accounting System for JINR’s Grid Sites. Particles and Nuclei, Letters. Volume 19, issue 6(245). P. 660-668
  21. Bochkarev V. V., Brilliantov B. D., Ivanov V. V., Klimanov S. G., Kryanev A. V. Optimal Decision Support System When Decommissioning Nuclear Facilities. Particles and Nuclei, Letters. Volume 19, issue 6(245). P. 669-681

Preprints of MLIT employees

  1. Dikusar N. D. Numerical Solution of the Cauchy Problem Based on the Basic Element Method. Preprint. P5-2021-50
  2. I. V. Amirkhanov, I. Sarkhadov, Z. K. Tukhliev Моделирование тепловых процессов, возникающих в материалах под действием лазерных импульсов, в рамках гиперболической модели термического пика. Preprint. P11-2022-31
  3. I. V. Amirkhanov, I. Sarkhadov, Z. K. Tukhliev, H. Gafurov Численное исследование влияния конечной толщины образца на лазерную абляцию материалов. Preprint. P11-2022-32

Other publications

  1. BRIEF REVIEW OF TOPMOST SCIENTIFIC RESULTS OBTAINED IN 2021 AT THE JOINT INSTITUTE FOR NUCLEAR RESEARCH. INFORMATION TECHNOLOGY AND COMPUTER PHYSICS. Preprint. 2022-2
  2. Pose R. G. German Scientists and Specialists in the Soviet Atomic Project: Documents, Comments, Memoirs. Book. M., 2021. — 279 p.: ill. — Bibliogr.: p. 267–279., ISBN 978-5-907352-77-3
  3. D.V. Kamanin, Yu.V. Pyatkov, S. Pospíšil, M.O. Rudenko, A.A. Alexandrov, I.A. Alexandrova, P. Burian, Z.I. Goryainova, M. Holík, E.A. Kuznetsova, R. Korsten, L. Meduna, G.A. Ososkov, A.N. Solodov, A.O. Strekalovsky, O.V. Strekalovsky, V.E. Zhuchko, O.V. Falomkina, Yu.P. Pyt’ev IMPROVEMENT OF THE EXPERIMENTAL CAPABILITY IN STUDIES OF THE CLUSTER EFFECTS IN HEAVY NUCLEI. The proceedings of the XXVIII International Seminar on Interactions of Neutrons with Nuclei (ISINN-28). Dubna: JINR, 2021. — 277 p., ISBN 978-5-9530-0565-4
  4. T. Zhanlav, O. Chuluunbaatar New Developments of Newton-Type Iterations for Solving Nonlinear Problems. Book. Moscow : KURS, 2022 . – 272 p. : il. – (Science) . - Bibliogr.: p. 255-267 . – 500 экз. - ISBN 978-5-907535-48-0. This book is based on our series of articles on Newton type itertive methods.The publication was supported by the Foundation of Science and Technology under Grand and Meshcheryakov Laboratory of Information Technologies, Joint Institute for Nuclear Research.
  5. V. Abgaryan et al. (MPD Collaboration). Status and initial physics performance studies of the MPD experiment at NICA.. Eur. Phys. J. A 58, 140 (2022).
  6. O. Yu. Tyatyushkina, A. G. Reshetnikov, V. S. Ulyanov, S. V. Ulyanov. Intelligent Cognitive Robotics: Textbook. V. 1. Soft Computational Intelligence and Information — Thermodynamic Law of Intelligent Cognitive Control. Book. M.: KURS, 2022. — 536 p.: ill. — (Quantum End-to-End IT). — Bibliogr.: end of chapter.
  7. O. V. Ivancova, V. V. Korenkov, S. V. Ulyanov, P. V. Zrelov Quantum Software Engineering Toolkit Part I: Quantum fast search algorithms.Quantum simulators on classical computers. Quantum control information models. Book. M.: KURS, 2022. — 464 p.: ill. — (Quantum End-to-End IT). — Bibliogr.: end of parts.
  8. V. V. Korenkov, S. V. Ulyanov, A. A. Shevchenko, A. V. Shevchenko. Intellectual Cognitive Robotics: Study Guide. P. 1. Technologies of Quantum Cognitive Calculations. Book. M.: KURS, 2022. — 556 p.: ill. — (Quantum Software Engineering Toolkit). — Bibliogr.: end of chapter.
  9. V. V. Korenkov, O. V. Ivancova, I.A. Filozova Technologies of Data Bases. Introductory course: study guide. Book. M.: KURS, 2022. — 168 p.: ill. — ((Digital Management Platforms).
  10. Korenkov V. V., Filozova I. A., Ivantsova O. V Technologies of Data Bases. Designing of Relational Data Bases: study guide. Book. M.: KURS, 2022. — 128 p.: ill. — ((Digital Management Platforms). — Bibliogr.: p. 105–107.
  11. Uzhinskiy A. Artificial intelligence against plant diseases. Otkrytye sistemy. - 2022. № 3 (237), DOI:10.51793/OS.2022.92.99.001.

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