GS-DeepNet: mastering tokamak plasma equilibria with deep neural networks and the Grad–Shafranov equation
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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GS-DeepNet: mastering tokamak plasma equilibria with deep neural networks and the Grad–Shafranov equation ; volume:13 ; number:1 ; day:22 ; month:9 ; year:2023 ; pages:1-15 ; date:12.2023
Scientific reports ; 13, Heft 1 (22.9.2023), 1-15, 12.2023
- Urheber
-
Joung, Semin
Ghim, Y.-C
Kim, Jaewook
Kwak, Sehyun
Kwon, Daeho
Sung, C.
Kim, D.
Kim, Hyun-Seok
Bak, J. G.
Yoon, S. W.
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41598-023-42991-5
- URN
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urn:nbn:de:101:1-2024020907500750640432
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:31 MESZ
Datenpartner
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Beteiligte
- Joung, Semin
- Ghim, Y.-C
- Kim, Jaewook
- Kwak, Sehyun
- Kwon, Daeho
- Sung, C.
- Kim, D.
- Kim, Hyun-Seok
- Bak, J. G.
- Yoon, S. W.
- SpringerLink (Online service)
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