A machine learning approach to identify the universality of solitary perturbations accompanying boundary bursts in magnetized toroidal plasmas

Experimental observations assisted by 2-D imaging diagnostics on the KSTAR tokamak show that a solitary perturbation (SP) emerges prior to a boundary burst of magnetized toroidal plasmas, which puts forward SP as a potential candidate for the burst trigger. We have constructed a machine learning (ML...

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Detalles Bibliográficos
Autores principales: Lee, J. E., Seo, P. H., Bak, J. G., Yun, G. S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7878480/
https://www.ncbi.nlm.nih.gov/pubmed/33574460
http://dx.doi.org/10.1038/s41598-021-83192-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7878480/
https://www.ncbi.nlm.nih.gov/pubmed/33574460
http://dx.doi.org/10.1038/s41598-021-83192-2

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