Calculation of Photoionization Rates During Streamer Discharge Using Neural Networks-Reference-Cited by-同舟云学术

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Calculation of Photoionization Rates During Streamer Discharge Using Neural Networks

Published:2022-12 Issue:12 Volume:50 Page:5051-5059
ISSN:0093-3813
Container-title:IEEE Transactions on Plasma Science
language:
Short-container-title:IEEE Trans. Plasma Sci.

Author:

Wei Zhenyu¹^ORCID,Wu Jian²,Komuro Atsushi³,Ono Ryo³^ORCID

Affiliation:

1. Department of Electrical-Engineering and Information Systems, The University of Tokyo, Bunkyo, Japan

2. Department of Information and Communications Engineering, Tokyo Institute of Technology, Tokyo, Japan

3. Department of Advanced Energy, The University of Tokyo, Bunkyo City, Japan

Funder

JSPS KAKENHI

China Scholarship Council

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Condensed Matter Physics,Nuclear and High Energy Physics

Link

http://xplorestaging.ieee.org/ielx7/27/10007540/09961152.pdf?arnumber=9961152

Reference41 articles.

1. Phase recovery and holographic image reconstruction using deep learning in neural networks

2. Attention Is All We Need!

3. Study of the impact of photoionization on negative and positive needle-plane corona discharge in atmospheric air

4. Channel Attention Is All You Need for Video Frame Interpolation

5. A neural network image reconstruction technique for electrical impedance tomography

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