Machine learning combining simulation and experimental data for high-qmin 
scenario control development at DIII-D

Abbate, J. A.; Conlin, R.; Kolemen, E.; Fable, E.; Tardini, G.; Boyer, M. D.

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Machine learning combining simulation and experimental data for high-q_min scenario control development at DIII-D

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Fable, E.
Tokamak Scenario Development (E1), Max Planck Institute for Plasma Physics, Max Planck Society;

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Tardini, G.
Tokamak Scenario Development (E1), Max Planck Institute for Plasma Physics, Max Planck Society;

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Abbate, J. A., Conlin, R., Kolemen, E., Fable, E., Tardini, G., & Boyer, M. D. (2022). Machine learning combining simulation and experimental data for high-q_min scenario control development at DIII-D. Talk presented at 64th Annual Meeting of the APS Division of Plasma Physics. Spokane, WA. 2022-10-17 - 2022-10-21.

引用: https://hdl.handle.net/21.11116/0000-000C-830B-4

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