Interpreting AI for Fusion: an application to Plasma Profile Analysis for Tearing Mode Stability
This paper presents a physics-based interpretability framework using Shapley analysis to decode an AI model's predictions of tearing mode stability in tokamaks, revealing that core electron temperature and rotation peaking are the primary drivers of stability in DIII-D experiments.