An Open Data Service for Supporting Research in Machine Learning on Tokamak Data

The increasing complexity and volume of plasma fusion experimental data, coupled with the growing adoption of machine learning in fusion research, necessitate advanced and efficient data management solutions. We propose an open data service for fusion experiments operated by the UKAEA, designed to a...

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Vydané v:	IEEE transactions on plasma science Ročník 53; číslo 9; s. 2440 - 2449
Hlavní autori:	Jackson, Samuel, Khan, Saiful, Cummings, Nathan, Hodson, James, de Witt, Shaun, Pamela, Stanislas, Akers, Rob, Thiyagalingam, Jeyan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.09.2025
Predmet:	Application programming interfaces Collaboration Computational modeling Data analysis Fusion data Interoperability Machine learning Metadata Open data scientific data management Tokamak devices Transforms web service application programming interface (API)
ISSN:	0093-3813, 1939-9375
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