Showing physics.plasm-phShow all
3 papers · 1 filter
physics.plasm-ph2026
Nuclear Fusion Knowledge Graph Guided Edge-Localized Mode Recognition on EAST
Wanli Lyu, Laiqi Qian, Xiao Wang +5
Edge-localized modes (ELMs) are transient magnetohydrodynamic instabilities commonly observed in tokamak plasmas. Although deep time-series models can learn complex dynamic pattern…
physics.plasm-ph2026
Fusing Global Diagnostic Signals and Spectral Data for Electron and Ion Temperature Profile Prediction on EAST via Attention-based Neural Networks
Xiao Wang, Jiangtao Yu, Zichao Lin +6
Ion temperature Ti and electron temperature Te are fundamental kinetic parameters for evaluating tokamak plasma confinement, turbulent transport and magnetohydrodynamic stability.…
physics.plasm-ph2026
SafeDivertor: Faithful Divertor Heat Flux Reconstruction from Macroscopic Plasma State Signals via Time-Frequency Prior Exploitation
Hao Si, Zehua Chen, Qingquan Yang +8
Divertor heat-flux analysis is essential for understanding plasma-wall interactions and protecting plasma-facing components in magnetic-confinement fusion devices, while convention…