Predictive multi-channel flux-driven modelling to optimise ICRH tungsten 
control and fusion performance in JET

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

doi:10.1088/1741-4326/ab833f

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Predictive multi-channel flux-driven modelling to optimise ICRH tungsten control and fusion performance in JET

MPS-Authors

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

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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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Casson, F. J., Patten, H., Bourdelle, C., Breton, S., Citrin, J., Koechl, F., et al. (2020). Predictive multi-channel flux-driven modelling to optimise ICRH tungsten control and fusion performance in JET. Nuclear Fusion, 60: 066029. doi:10.1088/1741-4326/ab833f.

Cite as: https://hdl.handle.net/21.11116/0000-0006-714D-5

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