Investigating the robustness of machine learning-based disruption prediction with synthetic training data
64th Annual Meeting of the APS Division of Plasma Physics, Spokane, Washington
Using synthetic discharges to probe how disruption-prediction models fail when the training distribution does not match the machine they are deployed on.