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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| 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
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-75798-z |
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