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  Physics-informed neural network of the ideal-MHD model in Wendelstein 7-X configurations

Merlo, A., Böckenhoff, D., Schilling, J., Lazerson, S. A., Pedersen, T. S., & W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society (2022). Physics-informed neural network of the ideal-MHD model in Wendelstein 7-X configurations. Poster presented at DPG-Frühjahrstagung der Fachverbände Physik der Hadronen und Kerne, Plasmaphysik und des Arbeitskreises Beschleunigerphysik, Mainz, Virtual.

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 Creators:
Merlo, A.1, Author           
Böckenhoff, D.1, Author           
Schilling, J.2, Author           
Lazerson, S. A.1, Author           
Pedersen, T. S.1, Author           
W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society, Author              
Affiliations:
1Stellarator Edge and Divertor Physics (E4), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856286              
2Stellarator Dynamics and Transport (E5), Max Planck Institute for Plasma Physics, Max Planck Society, ou_2040306              

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Language(s): eng - English
 Dates: 2021
 Publication Status: Submitted
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
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Title: DPG-Frühjahrstagung der Fachverbände Physik der Hadronen und Kerne, Plasmaphysik und des Arbeitskreises Beschleunigerphysik
Place of Event: Mainz, Virtual
Start-/End Date: 2022-03-28 - 2022-04-01

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Title: Verhandlungen der Deutschen Physikalischen Gesellschaft
  Other : Verhandl. DPG
Source Genre: Journal
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Publ. Info: Bad Honnef : DPG
Pages: - Volume / Issue: (VI) 57 (3) Sequence Number: P 9.12 Start / End Page: - Identifier: CoNE: https://pure.mpg.de/cone/journals/resource/04200195
ISSN: 0420-0195