DLTM: a deep learning method for tearing mode simulation and prediction
Tearing modes are harmful magnetohydrodynamic instabilities in tokamaks that reduce plasma confinement by altering the magnetic field and forming magnetic islands. Traditional research methods, mainly relying on theories, numerical simulations or experiments, face challenges due to the enormous data...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2025-01-01
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| Series: | Nuclear Fusion |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/1741-4326/ade891 |
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