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Numerical study on discharge characteristics of atmospheric dielectric barrier discharges by integrating machine learning
Author(s) -
Fei Ai,
Zhibing Liu,
Yuantao Zhang
Publication year - 2022
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.72.20221555
Subject(s) - dielectric barrier discharge , artificial neural network , atmospheric pressure , dielectric , atmospheric pressure plasma , plasma , computer science , partial discharge , materials science , range (aeronautics) , voltage , machine learning , artificial intelligence , computational physics , engineering physics , electrical engineering , meteorology , optoelectronics , physics , engineering , composite material , quantum mechanics

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