Tokamak devices currently hold the technological advance to be considered the most promising approach to fusion energy, but disruption events prediction is a major challenge for larger devices. The authors show that a machine learning model trained on a smaller tokamak holds promises for transfer of knowledge of disrupting violent events prediction to another, larger tokamak.
- Wei Zheng
- Fengming Xue
- Yuan Pan
