2 papers
physics.plasm-ph2025
High-Fidelity Data-Driven Dynamics Model for Reinforcement Learning-based Control in HL-3 Tokamak
Niannian Wu, Zongyu Yang, Rongpeng Li +11
The success of reinforcement learning (RL)-based control in tokamaks, an emerging technique for controlled nuclear fusion with improved flexibility, typically requires substantial…
physics.plasm-ph2024
Adapted Swin Transformer-based Real-Time Plasma Shape Detection and Control in HL-3
Qianyun Dong, Zhengwei Chen, Rongpeng Li +6
In the field of magnetic confinement plasma control, the accurate feedback of plasma position and shape primarily relies on calculations derived from magnetic measurements through…