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

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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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引用

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 (2018). Predictive Multichannel Flux-Driven Modelling to Optimize ICRH Tungsten Control in JET. Poster presented at 27th IAEA Fusion Energy Conference (FEC 2018), Gandhinagar.


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