Automatic identification of edge localized modes in the DIII-D tokamak
Fusion power production in tokamaks uses discharge configurations that risk producing strong type I edge localized modes. The largest of these modes will likely increase impurities in the plasma and potentially damage plasma facing components, such as the protective heat and particle divertor. Machi...
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| Auteurs principaux: | , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
AIP Publishing LLC
2023-06-01
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| Collection: | APL Machine Learning |
| Accès en ligne: | http://dx.doi.org/10.1063/5.0134001 |
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