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Valentin Volokitin
Valentin Volokitin
Lobachevsky State University of Nizhni Novgorod
在 itmm.unn.ru 的电子邮件经过验证
标题
引用次数
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年份
Classical bifurcation diagrams by quantum means
MV Ivanchenko, EA Kozinov, VD Volokitin, AV Liniov, IB Meyerov, ...
Annalen der Physik 529 (8), 1600402, 2017
232017
Computation of the asymptotic states of modulated open quantum systems with a numerically exact realization of the quantum trajectory method
V Volokitin, A Liniov, I Meyerov, M Hartmann, M Ivanchenko, P Hänggi, ...
Physical Review E 96 (5), 053313, 2017
192017
Strategies for particle resampling in PIC simulations
A Muraviev, A Bashinov, E Efimenko, V Volokitin, I Meyerov, A Gonoskov
Computer Physics Communications 262, 107826, 2021
162021
Particle trajectories, gamma-ray emission, and anomalous radiative trapping effects in magnetic dipole wave
AV Bashinov, ES Efimenko, AA Muraviev, VD Volokitin, IB Meyerov, ...
Physical Review E 105 (6), 065202, 2022
102022
Vacuum breakdown in magnetic dipole wave by 10-PW class lasers
ES Efimenko, AV Bashinov, AA Muraviev, VD Volokitin, IB Meyerov, ...
Physical Review E 106 (1), 015201, 2022
82022
High performance implementation of Boris particle pusher on DPC++. A first look at oneAPI
V Volokitin, A Bashinov, E Efimenko, A Gonoskov, I Meyerov
International Conference on Parallel Computing Technologies, 288-300, 2021
82021
Unfolding a quantum master equation into a system of real-valued equations: Computationally effective expansion over the basis of generators
A Liniov, I Meyerov, E Kozinov, V Volokitin, I Yusipov, M Ivanchenko, ...
Physical Review E 100 (5), 053305, 2019
72019
Increasing performance of the quantum trajectory method by grouping trajectories
A Liniov, V Volokitin, I Meyerov, M Ivanchenko, S Denisov
Supercomputing: Third Russian Supercomputing Days, RuSCDays 2017, Moscow …, 2017
72017
Optimized computation of tight focusing of short pulses using mapping to periodic space
E Panova, V Volokitin, E Efimenko, J Ferri, T Blackburn, M Marklund, ...
Applied Sciences 11 (3), 956, 2021
62021
Propagating large open quantum systems towards their asymptotic states: cluster implementation of the time-evolving block decimation scheme
V Volokitin, I Vakulchyk, E Kozinov, A Liniov, I Meyerov, M Ivanchenko, ...
Journal of Physics: Conference Series 1392 (1), 012061, 2019
62019
Optimized routines for event generators in QED-PIC codes
V Volokitin, S Bastrakov, A Bashinov, E Efimenko, A Muraviev, ...
Journal of Physics: Conference Series 1640 (1), 012015, 2020
52020
Towards ml-based diagnostics of laser–plasma interactions
Y Rodimkov, S Bhadoria, V Volokitin, E Efimenko, A Polovinkin, ...
Sensors 21 (21), 6982, 2021
42021
ML-Based Analysis of Particle Distributions in High-Intensity Laser Experiments: Role of Binning Strategy
Y Rodimkov, E Efimenko, V Volokitin, E Panova, A Polovinkin, I Meyerov, ...
Entropy 23 (1), 21, 2020
42020
Formation of beams of charged particles in multibeam systems of an electric dipole configuration at a multipetawatt power level
ES Efimenko, AV Bashinov, AA Muraviev, EA Panova, VD Volokitin, ...
Bulletin of the Lebedev Physics Institute 50 (Suppl 6), S680-S688, 2023
32023
Vacuum Breakdown in Multibeam Configuration of a Magnetic Dipole Wave
AA Muraviev, AV Bashinov, ES Efimenko, EA Panova, VD Volokitin, ...
Bulletin of the Lebedev Physics Institute 50 (Suppl 6), S652-S659, 2023
22023
Possibility of Observing Radiation Effects in the Interaction of Ultrahigh-Power Laser Radiation of a Magnetic Dipole Configuration with Plasma
AV Bashinov, ES Efimenko, AA Muraviev, VD Volokitin, EA Panova, ...
Bulletin of the Lebedev Physics Institute 50 (Suppl 6), S660-S670, 2023
22023
The Source of Gamma Photons in Multipetawatt Multibeam Systems of Electric Dipole Configuration
ES Efimenko, AV Bashinov, AA Muraviev, EA Panova, VD Volokitin, ...
Bulletin of the Lebedev Physics Institute 50 (Suppl 6), S671-S679, 2023
22023
Machine learning approach to the Floquet–Lindbladian problem
V Volokitin, I Meyerov, S Denisov
Chaos: An Interdisciplinary Journal of Nonlinear Science 32 (4), 2022
22022
Performance Analysis of Deep Learning Inference in Convolutional Neural Networks on Intel Cascade Lake CPUs
EP Vasiliev, VD Kustikova, VD Volokitin, EA Kozinov, IB Meyerov
International Conference on Mathematical Modeling and Supercomputer …, 2020
22020
Towards quantum attractors: Sampling asymptotic states of modulated open systems with quantum trajectories
V Volokitin, A Liniov, I Meyerov, M Hartmann, M Ivanchenko, P Hänggi, ...
arXiv preprint arxiv:1612.03848, 2016
22016
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