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Monte Carlo collision method for particle-in-cell plasma simulation: PyTorch implementation. / Romanenko, Alexey; Snytnikov, Alexey; Lemaire, Thibault и др.

в: Journal of Physics: Conference Series, Том 2028, № 1, 012015, 21.10.2021.

Результаты исследований: Научные публикации в периодических изданиях › статья по материалам конференции › Рецензирование

Harvard

Romanenko, A, Snytnikov, A, Lemaire, T & Masson, P 2021, 'Monte Carlo collision method for particle-in-cell plasma simulation: PyTorch implementation', Journal of Physics: Conference Series, Том. 2028, № 1, 012015. https://doi.org/10.1088/1742-6596/2028/1/012015

APA

Romanenko, A., Snytnikov, A., Lemaire, T., & Masson, P. (2021). Monte Carlo collision method for particle-in-cell plasma simulation: PyTorch implementation. Journal of Physics: Conference Series, 2028(1), [012015]. https://doi.org/10.1088/1742-6596/2028/1/012015

Vancouver

Romanenko A, Snytnikov A, Lemaire T, Masson P. Monte Carlo collision method for particle-in-cell plasma simulation: PyTorch implementation. Journal of Physics: Conference Series. 2021 окт. 21;2028(1):012015. doi: 10.1088/1742-6596/2028/1/012015

Author

Romanenko, Alexey ; Snytnikov, Alexey ; Lemaire, Thibault и др. / Monte Carlo collision method for particle-in-cell plasma simulation: PyTorch implementation. в: Journal of Physics: Conference Series. 2021 ; Том 2028, № 1.

BibTeX

@article{01fc938625ec4bb3a0f1deffdf7ecbaf,
title = "Monte Carlo collision method for particle-in-cell plasma simulation: PyTorch implementation",
abstract = "The glow discharge in silane-hydrogene plasma is simulated by the Particle-In-Cell method. For the sake of simplicity just two collisional processes are considered. The implementation of null collision technique with PyTorch library is presented. PyTorch provides portability, flexibility and high precision of computations. The mathematical basics of the technique are given, and the Python code is listed. The diagnostics that help to understand the physical process under study as well as the correctness of the simulation are also given: energy distribution function, the number of electron collision events and the number of model particles.",
author = "Alexey Romanenko and Alexey Snytnikov and Thibault Lemaire and Pierre Masson",
note = "Funding Information: The publication has been prepared with the support of RFBR grant 19-07-00446, development was supported by RFBR grant 19-07-00085. Publisher Copyright: {\textcopyright} 2021 Institute of Physics Publishing. All rights reserved.; 4th Virtual Workshop on Numerical Modeling in MHD and Plasma Physics: Methods, Tools, and Outcomes, MHD-PP 2021 ; Conference date: 12-10-2021 Through 14-10-2021",
year = "2021",
month = oct,
day = "21",
doi = "10.1088/1742-6596/2028/1/012015",
language = "English",
volume = "2028",
journal = "Journal of Physics: Conference Series",
issn = "1742-6588",
publisher = "IOP Publishing Ltd.",
number = "1",

}

RIS

TY - JOUR

T1 - Monte Carlo collision method for particle-in-cell plasma simulation: PyTorch implementation

AU - Romanenko, Alexey

AU - Snytnikov, Alexey

AU - Lemaire, Thibault

AU - Masson, Pierre

N1 - Conference code: 4

PY - 2021/10/21

Y1 - 2021/10/21

N2 - The glow discharge in silane-hydrogene plasma is simulated by the Particle-In-Cell method. For the sake of simplicity just two collisional processes are considered. The implementation of null collision technique with PyTorch library is presented. PyTorch provides portability, flexibility and high precision of computations. The mathematical basics of the technique are given, and the Python code is listed. The diagnostics that help to understand the physical process under study as well as the correctness of the simulation are also given: energy distribution function, the number of electron collision events and the number of model particles.

AB - The glow discharge in silane-hydrogene plasma is simulated by the Particle-In-Cell method. For the sake of simplicity just two collisional processes are considered. The implementation of null collision technique with PyTorch library is presented. PyTorch provides portability, flexibility and high precision of computations. The mathematical basics of the technique are given, and the Python code is listed. The diagnostics that help to understand the physical process under study as well as the correctness of the simulation are also given: energy distribution function, the number of electron collision events and the number of model particles.

UR - http://www.scopus.com/inward/record.url?scp=85118588630&partnerID=8YFLogxK

U2 - 10.1088/1742-6596/2028/1/012015

DO - 10.1088/1742-6596/2028/1/012015

M3 - Conference article

AN - SCOPUS:85118588630

VL - 2028

JO - Journal of Physics: Conference Series

JF - Journal of Physics: Conference Series

SN - 1742-6588

IS - 1

M1 - 012015

T2 - 4th Virtual Workshop on Numerical Modeling in MHD and Plasma Physics: Methods, Tools, and Outcomes

Y2 - 12 October 2021 through 14 October 2021

ER -

ID: 34582234