11 citations · 19 across the 6 of their papers we have counts for
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physics.plasm-ph2024
Attention-aware convolutional neural networks for identification of magnetic islands in the tearing mode on EAST tokamak
Feifei Long, Yian Zhao, Yunjiao Zhang +16
The tearing mode, a large-scale MHD instability in tokamak, typically disrupts the equilibrium magnetic surfaces, leads to the formation of magnetic islands, and reduces core elect…
physics.plasm-ph2024
Adaptive Anomaly Detection Disruption Prediction Starting from First Discharge on Tokamak
Xinkun Ai
Plasma disruption presents a significant challenge in tokamak fusion, where it can cause severe damage and economic losses. Current disruption predictors mainly rely on data-driven…