Magnetohydrodynamic eigenfunction classification with a Neural Network

DOI10.1016/J.CAM.2021.113889zbMath1483.76070OpenAlexW4200604467MaRDI QIDQ2074866

Yanyan Li

Publication date: 11 February 2022

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2021.113889

zbMATH Keywords

neural networkFourier decompositionAlfvén wavemagnetohydrodynamic spectrumperfect machine learning model

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Spectral methods applied to problems in fluid mechanics (76M22) Magnetohydrodynamics and electrohydrodynamics (76W05) Ionized gas flow in electromagnetic fields; plasmic flow (76X05)

Uses Software

• CASTOR
• Keras
• GitHub

Cites Work

• Unnamed Item
• CASTOR: Normal-mode analysis of resistive MHD plasmas
• An energy principle for hydromagnetic stability problems
• Low-n shear Alfvén spectra in axisymmetric toroidal plasmas

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