Machine learning surrogates of Bayesian models of nuclear fusion experiments

Pavone, A.; Svensson, J.; Wolf, R. C.; W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society

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Machine learning surrogates of Bayesian models of nuclear fusion experiments

Pavone, A., Svensson, J., Wolf, R. C., & W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society (2021). Machine learning surrogates of Bayesian models of nuclear fusion experiments. Talk presented at 47th EPS Conference on Plasma Physics. Virtual. 2021-06-21 - 2021-06-25.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0008-C044-2 Version Permalink: https://hdl.handle.net/21.11116/0000-0008-C045-1

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Creators:
Pavone, A.¹, Author
Svensson, J.², Author
Wolf, R. C.¹, Author
W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society, Author

Affiliations:
1Stellarator Heating and Optimisation (E3), Max Planck Institute for Plasma Physics, Max Planck Society, ou_2040305
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: Submitted: 2021

Publication Status: Submitted

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Title: 47th EPS Conference on Plasma Physics

Place of Event: Virtual

Start-/End Date: 2021-06-21 - 2021-06-25

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