4 papers
Experiment-free disruption prediction for new devices enabled by synthetic diagnostic data augmentation
Zhiqiang Liu, Fengming Xue, Shiwei Xue +4
Deep learning based approaches have shown great promise in cross-device disruption prediction for tokamaks, however, the robustness of these models heavily relies on massive amount…
Weak and reversed magnetic shear effects on internal kink and fishbone modes
Weikang Cai, Ping Zhu, Zhi Zhang +2
Advanced tokamak scenarios often feature weak or reversed magnetic shear configurations. In this study, the hybrid kinetic-MHD model implemented in the NIMROD code is used to inves…
Influence of plasma shaping on the parity of core-localized toroidal Alfvén eigenmode in an advanced tokamak configuration
Shiwei Xue, Ping Zhu, Haolong Li
Toroidal Alfvén eigenmodes (TAEs) and energetic particle modes (EPMs) can both be excited by energetic particles from auxiliary heating and fusion-born alpha particles in a tokama…
Increasing the density limit with ECRH-assisted Ohmic start-up on EAST
Jiaxing Liu, Ping Zhu, Dominique Franck Escande +16
High plasma density operation is crucial for a tokamak to achieve energy breakeven and a burning plasma. However, there is often an empirical upper limit of electron density in tok…