Spatiotemporal forecasting of the edge localized modes in tokamak plasmas using neural networks

Artificial intelligence techniques have been increasingly adopted by the plasma and fusion science to address problems like plasma reconstruction, surrogate modeling, and tokamak/stellarator optimization. A key focus in sustained fusion research is the prediction and mitigation of edge-localized-mod...

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Hlavní autoři:	Anirban Samaddar, Qian Gong, Sandeep Madireddy, Christopher Hansen, Semin Joung, David R Smith, Yixuan Sun, Fatima Ebrahimi, Prasanna Balapraksh, Andrew Oakleigh Nelson
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IOP Publishing 2025-01-01
Edice:	Machine Learning: Science and Technology
Témata:	neural networks spatiotemporal modeling edge localized modes
On-line přístup:	https://doi.org/10.1088/2632-2153/adfb41
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