Simulations of atmospheric pressure discharge in a high-voltage nanosecond pulse using the particle-in-cell Monte Carlo collision model in noble gases-Reference-Cited by-同舟云学术

Simulations of atmospheric pressure discharge in a high-voltage nanosecond pulse using the particle-in-cell Monte Carlo collision model in noble gases

Published:2008-06 Issue:6 Volume:15 Page:063503
ISSN:1070-664X
Container-title:Physics of Plasmas
language:en
Short-container-title:Physics of Plasmas

Author:

Shi Feng,Wang Dezhen,Ren Chunsheng

Publisher

AIP Publishing

Subject

Condensed Matter Physics

Link

http://aip.scitation.org/doi/pdf/10.1063/1.2927437

Reference25 articles.

1. Aerodynamic flow acceleration using paraelectric and peristaltic electrohydrodynamic effects of a One Atmosphere Uniform Glow Discharge Plasma

2. Radio-frequency microdischarge arrays for large-area cold atmospheric plasma generation

3. Micro-structured electrode arrays: atmospheric pressure plasma processes and applications

4. Generation of large-volume, atmospheric-pressure, nonequilibrium plasmas

5. Numerical modelling of atmospheric pressure gas discharges leading to plasma production

Cited by 18 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Neural Network-Assisted Efficient Calculation on CO₂ Pulsed Discharges Under Martian Pressure for Various Pulse Rise Rates;IEEE Transactions on Plasma Science;2024-05

2. Numerical study on effects of voltage amplitude in CO2 pulsed discharges under Martian conditions by deep neural network;Physics of Plasmas;2024-01-01

3. Numerical Study on Kinetic Effects of Driving Frequency in Atmospheric Radio Frequency Discharges Using Deep Neural Network;IEEE Transactions on Plasma Science;2023-05

4. Studies on plasma transport processes in the cathode sheath of atmospheric direct-current arc discharge with particle-in-cell and Monte Carlo collision simulation;Physics of Plasmas;2023-03-01

5. Efficient numerical simulation on dielectric barrier discharges at atmospheric pressure integrated by deep neural network;Journal of Applied Physics;2023-02-06