3 citations · 5 across the 4 of their papers we have counts for
6 papers · 1 filter
Towards ML-based diagnostics of focused laser pulse
Y. R. Rodimkov, V. D. Volokitin, I. B. Meyerov +1
Currently, machine learning (ML) methods are widely used to process the results of physical experiments. In some cases, due to the limited amount of experimental data, ML-models ca…
Optimized computation of tight focusing of short pulses using mapping to periodic space
Elena Panova, Valentin Volokitin, Evgeny Efimenko +9
When a pulsed, few-cycle electromagnetic wave is focused by optics with f-number smaller than two, the frequency components it contains are focused to different regions of space, b…
Optimized routines for event generators in QED-PIC codes
V. Volokitin, S. Bastrakov, A. Bashinov +4
In recent years, the prospects of performing fundamental and applied studies at the next-generation high-intensity laser facilities have greatly stimulated the interest in performi…
Strategies for particle resampling in PIC simulations
A. Muraviev, A. Bashinov, E. Efimenko +3
In particle-in-cell simulations, excessive or even unfeasible computational demands can be caused by the growth of the number of particles in the course of prolific ionization or c…
Transforming the Lindblad Equation into a System of Linear Equations: Performance Optimization and Parallelization of an Algorithm
Iosif Meyerov, Evgeny Kozinov, Alexey Liniov +4
With their constantly increasing peak performance and memory capacity, modern supercomputers offer new perspectives on numerical studies of open many-body quantum systems. These sy…
Exploiting Parallelism on Shared Memory in the QED Particle-in-Cell Code PICADOR with Greedy Load Balancing
Iosif Meyerov, Sergei Bastrakov, Aleksei Bashinov +6
State-of-the-art numerical simulations of laser plasma by means of the Particle-in-Cell method are often extremely computationally intensive. Therefore there is a growing need for…