Data-driven models in fusion exhaust: AI methods and perspectives

Year of publication

2024

Authors

Wiesen, S.; Dasbach, S.; Kit, Adam; Jaervinen, Aaro E.; Gillgren, A.; Ho, A.; Panera, A.; Reiser, D.; Brenzke, M.; Poels, Y.; Westerhof, E.; Menkovski, V.; Derks, G. F.; Strand, P.

Organizations and authors

VTT Technical Research Centre of Finland Ltd

Jaervinen Aaro E.

University of Helsinki

Kit A.

Järvinen A. E.

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Journal/Series

Nuclear fusion

Parent publication name

Nuclear Fusion

Volume

Issue

Article number

086046

ISSN

0029-5515

Publication forum

64243

Publication forum level

Open access

Open access in the publisher’s service

Yes

Open access of publication channel

Partially open publication channel

Self-archived

Yes

License of the self-archived publication

CC BY

Other information

Fields of science

Computer and information sciences; Physical sciences; Electronic, automation and communications engineering, electronics

Keywords

[object Object],[object Object],[object Object],[object Object],[object Object]

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

DOI

10.1088/1741-4326/ad5a1d

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes