Neural Networks as ideal magnetohydrodynamic equilibrium solvers

Thun, T.; Merlo, A.; Böckenhoff, D.

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Neural Networks as ideal magnetohydrodynamic equilibrium solvers

Thun, T., Merlo, A., & Böckenhoff, D. (2024). Neural Networks as ideal magnetohydrodynamic equilibrium solvers. Talk presented at DPG-Frühjahrstagung 2024. Greifswald. 2024-02-26 - 2024-02-29.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000E-8429-F Version Permalink: https://hdl.handle.net/21.11116/0000-000E-842A-E

Genre: Talk

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Creators:
Thun, T.¹, Author
Merlo, A.², Author
Böckenhoff, D.¹, Author

Affiliations:
1Stellarator Heating and Optimisation (E3), Max Planck Institute for Plasma Physics, Max Planck Society, ou_2040305
2External Organizations, ou_persistent22

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Language(s): eng - English

Dates: Submitted: 2023

Publication Status: Submitted

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Title: DPG-Frühjahrstagung 2024

Place of Event: Greifswald

Start-/End Date: 2024-02-26 - 2024-02-29

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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) 59 (1) Sequence Number: P 17.3 Start / End Page: - Identifier: CoNE: https://pure.mpg.de/cone/journals/resource/04200195
ISSN: 0420-0195