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

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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Bibliographic Details
Main Authors: Anirban Samaddar, Qian Gong, Sandeep Madireddy, Christopher Hansen, Semin Joung, David R Smith, Yixuan Sun, Fatima Ebrahimi, Prasanna Balapraksh, Andrew Oakleigh Nelson
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Machine Learning: Science and Technology
Subjects:
neural networks
spatiotemporal modeling
edge localized modes
Online Access:https://doi.org/10.1088/2632-2153/adfb41
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https://doi.org/10.1088/2632-2153/adfb41

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