3 papers
physics.plasm-ph2026
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…
physics.plasm-ph2025
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…
physics.plasm-ph2025
Power dependence of density limit due to plasma-wall interaction in a burning plasma
Jiaxing Liu, Ping Zhu, Dominique Franck Escande
The density limit is one of the major obstacles to achieving the desired fusion performance in tokamaks. However, the underlying physics mechanism for its recently observed power d…