Predictive Multichannel Flux-Driven Modelling to Optimize ICRH Tungsten Control 
in JET

Casson, F. J.; Patten, H.; Bourdelle, C.; Breton, S.; Citrin, J.; Köchl, F.; Angioni, C.; Baranov, Y.; Bilato, R.; Belli, E. A.; Challis, C. D.; Corrigan, G.; Czarnecka, A.; Ficker, O.; Garzotti, L.; Goniche, M.; Graves, J. P.; Johnson, T.; Kirov, K.; Knight, P. J.; Lerche, E. A.; Mantsinen, M. J.; Mlynar, J.; Sertoli, M.; Valisa, M.; JET Contributors

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Predictive Multichannel Flux-Driven Modelling to Optimize ICRH Tungsten Control in JET

MPS-Authors

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

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Bilato, R.
Tokamak Theory (TOK), Max Planck Institute for Plasma Physics, Max Planck Society;

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Sertoli, M.
Plasma Edge and Wall (E2M), Max Planck Institute for Plasma Physics, Max Planck Society;

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Citation

Casson, F. J., Patten, H., Bourdelle, C., Breton, S., Citrin, J., Köchl, F., et al. (2018). Predictive Multichannel Flux-Driven Modelling to Optimize ICRH Tungsten Control in JET. Poster presented at 27th IAEA Fusion Energy Conference (FEC 2018), Gandhinagar.

Cite as: https://hdl.handle.net/21.11116/0000-0002-738D-E

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