2022 Review of Data-Driven Plasma Science

Rushil Anirudh,Rick Archibald,M. Salman Asif,Markus M. Becker,Sadruddin Benkadda,Peer-Timo Bremer,Rick H. S. Bude,C. S. Chang,Lei Chen,R. M. Churchill,Jonathan Citrin,Jim A. Gaffney,Ana Gainaru,Walter Gekelman,Tom Gibbs,Satoshi Hamaguchi,Christian Hill,Kelli Humbird,Soeren Jalas,Satoru Kawaguchi,Gon-Ho Kim,Manuel Kirchen,Scott Klasky,John L. Kline,Karl Krushelnick,Bogdan Kustowski,Giovanni Lapenta,Wenting Li,Tammy Ma,Nigel J. Mason,Ali Mesbah,Craig Michoski,Todd Munson,Izumi Murakami,Habib N. Najm,K. Erik J. Olofsson,Seolhye Park,J. Luc Peterson,Michael Probst,David Pugmire,Brian Sammuli, Kapil Sawlani,Alexander Scheinker,David P. Schissel,Rob J. Shalloo,Jun Shinagawa,Jaegu Seong,Brian K. Spears,Jonathan Tennyson,Jayaraman Thiagarajan,Catalin M. Ticos,Jan Trieschmann,Jan van Dijk,Brian Van Essen,Peter Ventzek,Haimin Wang,Jason T. L. Wang,Zhehui Wang,Kristian Wende,Xueqiao Xu,Hiroshi Yamada,Tatsuya Yokoyama,Xinhua Zhang

IEEE Transactions on Plasma Science（2023）

Cited 26|Views104

Key words

Plasmas,Physics,Scientific computing,Research and development,Data science,Contracts,Technological innovation,Artificial intelligence,data-driven plasma science,machine learning,nuclear fusion,plasma control,plasma diagnostics,plasma processing,plasma simulation

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