期刊
JOURNAL OF PHYSICS D-APPLIED PHYSICS
卷 52, 期 30, 页码 -出版社
IOP Publishing Ltd
DOI: 10.1088/1361-6463/ab1f3f
关键词
non-equilibrium plasma; machine learning; artificial intelligence
Machine learning (ML) is a set of computational tools that can analyze and utilize large amounts of data for many different purposes. Recent breakthroughs in ML and artificial intelligence largely enabled by advances in computing power and parallel computing present cross-disciplinary research opportunities to exploit some of these techniques in the field of non-equilibrium plasma (NEP) studies. This paper presents our perspectives on how ML can potentially transform modeling and simulation, real-time monitoring, and control of NEP.
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