Enabling online pedestal stability analysis with machine learning

Kit, A.; Järvinen, A. E.; Zaitsev, I.; Chone, L.; Nurminen, J.; Menkovski, V.; Wiesen, S.; Frassinetti, L.; Nyström, H.; Dunne, M.; ASDEX Upgrade Team, Max Planck Institute for Plasma Physics, Max Planck Society

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Enabling online pedestal stability analysis with machine learning

Kit, A., Järvinen, A. E., Zaitsev, I., Chone, L., Nurminen, J., Menkovski, V., et al. (2023). Enabling online pedestal stability analysis with machine learning. Poster presented at 27th Joint EU-US Transport Task Force Meeting (TTF 2023), Nancy.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-BE48-D Version Permalink: https://hdl.handle.net/21.11116/0000-000D-BE49-C

Genre: Poster

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Creators:
Kit, A.¹, Author
Järvinen, A. E.¹, Author
Zaitsev, I.¹, Author
Chone, L.¹, Author
Nurminen, J.¹, Author
Menkovski, V.¹, Author
Wiesen, S.¹, Author
Frassinetti, L.¹, Author
Nyström, H.¹, Author
Dunne, M.², Author
ASDEX Upgrade Team, Max Planck Institute for Plasma Physics, Max Planck Society, Author

Affiliations:
1External Organizations, ou_persistent22
2Physics of the Plasma Edge (E2), Max Planck Institute for Plasma Physics, Max Planck Society, ou_3504923

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Language(s): eng - English

Dates: Submitted: 2023

Publication Status: Submitted

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Title: 27th Joint EU-US Transport Task Force Meeting (TTF 2023)

Place of Event: Nancy

Start-/End Date: 2023-09-12 - 2023-09-15

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