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Parametric study of hydrogenic inventory in the ITER divertor based on machine learning

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https://hal.archives-ouvertes.fr/hal-02972436
Contributor : yann Charles Connect in order to contact the contributor
Submitted on : Monday, September 27, 2021 - 2:50:44 PM
Last modification on : Saturday, February 19, 2022 - 3:07:40 AM
Long-term archiving on: : Tuesday, December 28, 2021 - 6:45:47 PM

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Delaporte-Mathurin_2020.pdf
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Rémi Delaporte-Mathurin, Etienne A Hodille, Jonathan Mougenot, Gregory de Temmerman, Y. Charles, et al.. Parametric study of hydrogenic inventory in the ITER divertor based on machine learning. Scientific Reports, Nature Publishing Group, 2020, 10 (1), ⟨10.1038/s41598-020-74844-w⟩. ⟨hal-02972436⟩

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