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

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Merlo,  A.
Stellarator Edge and Divertor Physics (E4), Max Planck Institute for Plasma Physics, Max Planck Society;

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Böckenhoff,  D.
Stellarator Edge and Divertor Physics (E4), Max Planck Institute for Plasma Physics, Max Planck Society;

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Schilling,  J.
Stellarator Dynamics and Transport (E5), Max Planck Institute for Plasma Physics, Max Planck Society;

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Lazerson,  S. A.
Stellarator Edge and Divertor Physics (E4), Max Planck Institute for Plasma Physics, Max Planck Society;

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Pedersen,  T. S.
Stellarator Edge and Divertor Physics (E4), Max Planck Institute for Plasma Physics, Max Planck Society;

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Citation

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.


Cite as: http://hdl.handle.net/21.11116/0000-000A-2B75-3
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