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  Machine learning surrogates of Bayesian models of nuclear fusion experiments

Pavone, A., & 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 63rd Annual Meeting of the APS Division of Plasma Physics. Pittsburgh, PA. 2021-11-08 - 2021-11-12.

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 Creators:
Pavone, A.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              

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Language(s): eng - English
 Dates: 2021
 Publication Status: Submitted
 Pages: -
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 Rev. Type: -
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Title: 63rd Annual Meeting of the APS Division of Plasma Physics
Place of Event: Pittsburgh, PA
Start-/End Date: 2021-11-08 - 2021-11-12

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