Neural network-based classification and regression of magnetohydrodynamic modes in tokamaks

Neural network-based classification and regression of magnetohydrodynamic modes in tokamaks

We present a machine learning-based magnetohydrodynamic (MHD) classifier and regressor that utilizes real or complex-valued 3D magnetic sensor array data to determine neoclassical tearing mode (NTM) onset times in tokamaks with millisecond accuracy. The input dataset consists of poloidal profiles of...

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Bibliographic Details
Main Authors: L. Bardoczi, K. Won, N.J. Richner, A.C. Brown, D. Chow, P. Li, J. Monahan
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:Nuclear Fusion
Subjects:
tearing
stability
magnetic island
tokamak
machine learning
neural network
Online Access:https://doi.org/10.1088/1741-4326/adf051
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