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

Abstract 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…

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发布机构Nuclear Fusion
资源版本2025
资源格式Article / DOI
最近核验2026-08-10
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Abstract 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…

系统工程托卡马克数值模拟AI for Fusion
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Abstract 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…

系统工程托卡马克数值模拟AI for Fusion
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本地资源档案fusion-literature-030-1337.json本地档案 · catalog-2026-08-10