ST40 electromagnetic predictive studies supported by machine learning applied to experimental database

Abstract Nuclear fusion is entering the era of power plant-scale devices, which are now undergoing extensive studies to support the design phase. Plasma disruptions pose a high risk to these classes of devices because of the large stored thermal and magnetic energy which might jeopardize machine int...

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Bibliographic Details
Main Authors: M. Scarpari, S. Minucci, G. Sias, R. Lombroni, P. F. Buxton, M. Romanelli, G. Calabrò
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-024-75798-z