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Bayesian optimization of disruption scenarios with fluid-kinetic models
Ekmark, I.
Department of Physics, Chalmers Univ. Technology, Göteborg, Sweden.
Pusztai, I.
Department of Physics, Chalmers Univ. Technology, Göteborg, Sweden.
Hoppe, Mathias
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electromagnetic Engineering and Fusion Science.
ORCID iD:
0000-0003-3994-8977
Jansson, P.
Department of Computer Science and Engineering, Chalmers Univ. Technology, Göteborg, Sweden.
Fülöp, T.
Department of Physics, Chalmers Univ. Technology, Göteborg, Sweden.
Show others and affiliations
2023 (English)
In:
49th EPS Conference on Plasma Physics, EPS 2023, European Physical Society (EPS) , 2023
Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
European Physical Society (EPS) , 2023.
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
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URN:
urn:nbn:se:kth:diva-350528
Scopus ID:
2-s2.0-85197213746
OAI: oai:DiVA.org:kth-350528
DiVA, id:
diva2:1884437
Conference
49th EPS Conference on Plasma Physics, EPS 2023, Bordeaux, France, Jul 3 2023 - Jul 7 2023
Note
Part of ISBN 9781713898672
QC 20240716
Available from:
2024-07-16
Created:
2024-07-16
Last updated:
2024-07-16
Bibliographically approved
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Hoppe, Mathias
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modern-language-association-8th-edition
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modern-language-association-8th-edition
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