SemOpenAlex |

SemOpenAlex

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4281698988> ?p ?o ?g. }

Showing items 1 to 100 of ±176 with 100 items per page.

W4281698988 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." @default.
W4281698988 created "2022-06-13" @default.
W4281698988 creator A5003931166 @default.
W4281698988 creator A5003946300 @default.
W4281698988 creator A5008085540 @default.
W4281698988 creator A5009707808 @default.
W4281698988 creator A5009944435 @default.
W4281698988 creator A5010377485 @default.
W4281698988 creator A5010738468 @default.
W4281698988 creator A5012391877 @default.
W4281698988 creator A5013279503 @default.
W4281698988 creator A5014332524 @default.
W4281698988 creator A5016211405 @default.
W4281698988 creator A5016750207 @default.
W4281698988 creator A5019902487 @default.
W4281698988 creator A5021627261 @default.
W4281698988 creator A5021738700 @default.
W4281698988 creator A5023086966 @default.
W4281698988 creator A5026742436 @default.
W4281698988 creator A5027944714 @default.
W4281698988 creator A5029728208 @default.
W4281698988 creator A5030373337 @default.
W4281698988 creator A5032904563 @default.
W4281698988 creator A5033465751 @default.
W4281698988 creator A5034354413 @default.
W4281698988 creator A5034691490 @default.
W4281698988 creator A5036789951 @default.
W4281698988 creator A5037831830 @default.
W4281698988 creator A5038911681 @default.
W4281698988 creator A5041404935 @default.
W4281698988 creator A5041588293 @default.
W4281698988 creator A5043192992 @default.
W4281698988 creator A5046632395 @default.
W4281698988 creator A5047726956 @default.
W4281698988 creator A5048171594 @default.
W4281698988 creator A5050541461 @default.
W4281698988 creator A5050743804 @default.
W4281698988 creator A5056062979 @default.
W4281698988 creator A5056225302 @default.
W4281698988 creator A5058373808 @default.
W4281698988 creator A5058508661 @default.
W4281698988 creator A5061307319 @default.
W4281698988 creator A5061410102 @default.
W4281698988 creator A5062551687 @default.
W4281698988 creator A5063557309 @default.
W4281698988 creator A5063788129 @default.
W4281698988 creator A5063853097 @default.
W4281698988 creator A5065270702 @default.
W4281698988 creator A5065740298 @default.
W4281698988 creator A5066350135 @default.
W4281698988 creator A5067817536 @default.
W4281698988 creator A5068920351 @default.
W4281698988 creator A5069058332 @default.
W4281698988 creator A5071386826 @default.
W4281698988 creator A5071562322 @default.
W4281698988 creator A5071834070 @default.
W4281698988 creator A5074765078 @default.
W4281698988 creator A5075501406 @default.
W4281698988 creator A5076256227 @default.
W4281698988 creator A5076512404 @default.
W4281698988 creator A5080720465 @default.
W4281698988 creator A5086190700 @default.
W4281698988 creator A5089133845 @default.
W4281698988 creator A5090138355 @default.
W4281698988 creator A5090989317 @default.
W4281698988 date "2022-05-31" @default.
W4281698988 modified "2023-10-18" @default.
W4281698988 title "2022 Review of Data-Driven Plasma Science" @default.
W4281698988 doi "https://doi.org/10.1109/tps.2023.3268170" @default.
W4281698988 hasPublicationYear "2022" @default.
W4281698988 type Work @default.
W4281698988 citedByCount "1" @default.
W4281698988 countsByYear W42816989882023 @default.
W4281698988 crossrefType "posted-content" @default.
W4281698988 hasAuthorship W4281698988A5003931166 @default.
W4281698988 hasAuthorship W4281698988A5003946300 @default.
W4281698988 hasAuthorship W4281698988A5008085540 @default.
W4281698988 hasAuthorship W4281698988A5009707808 @default.
W4281698988 hasAuthorship W4281698988A5009944435 @default.
W4281698988 hasAuthorship W4281698988A5010377485 @default.
W4281698988 hasAuthorship W4281698988A5010738468 @default.
W4281698988 hasAuthorship W4281698988A5012391877 @default.
W4281698988 hasAuthorship W4281698988A5013279503 @default.
W4281698988 hasAuthorship W4281698988A5014332524 @default.
W4281698988 hasAuthorship W4281698988A5016211405 @default.
W4281698988 hasAuthorship W4281698988A5016750207 @default.
W4281698988 hasAuthorship W4281698988A5019902487 @default.
W4281698988 hasAuthorship W4281698988A5021627261 @default.
W4281698988 hasAuthorship W4281698988A5021738700 @default.
W4281698988 hasAuthorship W4281698988A5023086966 @default.
W4281698988 hasAuthorship W4281698988A5026742436 @default.
W4281698988 hasAuthorship W4281698988A5027944714 @default.
W4281698988 hasAuthorship W4281698988A5029728208 @default.
W4281698988 hasAuthorship W4281698988A5030373337 @default.
W4281698988 hasAuthorship W4281698988A5032904563 @default.
W4281698988 hasAuthorship W4281698988A5033465751 @default.
W4281698988 hasAuthorship W4281698988A5034354413 @default.
W4281698988 hasAuthorship W4281698988A5034691490 @default.
W4281698988 hasAuthorship W4281698988A5036789951 @default.
W4281698988 hasAuthorship W4281698988A5037831830 @default.