2022 Review of Data-Driven Plasma Science
Abstract
Data science and technology offer transformative tools and methods to science. This review article highlights latest development and progress in the interdisciplinary field of data-driven plasma science (DDPS). A large amount of data and machine learning algorithms go hand in hand. Most plasma data, whether experimental, observational or computational, are generated or collected by machines today. It is now becoming impractical for humans to analyze all the data manually. Therefore, it is imperative to train machines to analyze and interpret (eventually) such data as intelligently as humans but far more efficiently in quantity. Despite the recent impressive progress in applications of data science to plasma science and technology, the emerging field of DDPS is still in its infancy. Fueled by some of the most challenging problems such as fusion energy, plasma processing of materials, and fundamental understanding of the universe through observable plasma phenomena, it is expected that DDPS continues to benefit significantly from the interdisciplinary marriage between plasma science and data science into the foreseeable future.
Keywords
Cite
@article{arxiv.2205.15832,
title = {2022 Review of Data-Driven Plasma Science},
author = {Rushil Anirudh and Rick Archibald and M. Salman Asif and Markus M. Becker and Sadruddin Benkadda and Peer-Timo Bremer and Rick H. S. Budé and C. S. Chang and Lei Chen and R. M. Churchill and Jonathan Citrin and Jim A Gaffney and Ana Gainaru and Walter Gekelman and Tom Gibbs and Satoshi Hamaguchi and Christian Hill and Kelli Humbird and Sören Jalas and Satoru Kawaguchi and Gon-Ho Kim and Manuel Kirchen and Scott Klasky and John L. Kline and Karl Krushelnick and Bogdan Kustowski and Giovanni Lapenta and Wenting Li and Tammy Ma and Nigel J. Mason and Ali Mesbah and Craig Michoski and Todd Munson and Izumi Murakami and Habib N. Najm and K. Erik J. Olofsson and Seolhye Park and J. Luc Peterson and Michael Probst and Dave Pugmire and Brian Sammuli and Kapil Sawlani and Alexander Scheinker and David P. Schissel and Rob J. Shalloo and Jun Shinagawa and Jaegu Seong and Brian K. Spears and Jonathan Tennyson and Jayaraman Thiagarajan and Catalin M. Ticoş and Jan Trieschmann and Jan van Dijk and Brian Van Essen and Peter Ventzek and Haimin Wang and Jason T. L. Wang and Zhehui Wang and Kristian Wende and Xueqiao Xu and Hiroshi Yamada and Tatsuya Yokoyama and Xinhua Zhang},
journal= {arXiv preprint arXiv:2205.15832},
year = {2023}
}
Comments
112 pages (including 700+ references), 44 figures, submitted to IEEE Transactions on Plasma Science as a part of the IEEE Golden Anniversary Special Issue