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...

Full description

Bibliographic Details

Published in:	IEEE transactions on plasma science Vol. 53; no. 9; pp. 2440 - 2449
Main Authors:	Jackson, Samuel, Khan, Saiful, Cummings, Nathan, Hodson, James, de Witt, Shaun, Pamela, Stanislas, Akers, Rob, Thiyagalingam, Jeyan
Format:	Journal Article
Language:	English
Published:	IEEE 01.09.2025
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!