Hybridizing Physics and Neural ODEs for Predicting Plasma Inductance Dynamics in Tokamak Fusion Reactors. - Allen M. Wang; Darren T. Garnier; Cristina Rea (CoRR, 2023)

Position: Opportunities Exist for Machine Learning in Magnetic Fusion Energy. - Lucas Spangher; Allen M. Wang; Andrew Maris; Myles Stapelberg; Viraj Mehta; Alex Saperstein; Stephen Lane-Walsh; Akshata Kishore Moharir; Alessandro Pau; Cristina Rea (ICML, 2024)

Active Disruption Avoidance and Trajectory Design for Tokamak Ramp-downs with Neural Differential Equations and Reinforcement Learning. - Allen M. Wang; Oswin So; Charles Dawson 001; Darren T. Garnier; Cristina Rea; Chuchu Fan (CoRR, 2024)

Learning Plasma Dynamics and Robust Rampdown Trajectories with Predict-First Experiments at TCV. - Allen M. Wang; Alessandro Pau; Cristina Rea; Oswin So; Charles Dawson 001; Olivier Sauter; Mark D. Boyer; Anna Vu; Cristian Galperti; Chuchu Fan; Antoine Merle; Yoeri Poels; et al. (CoRR, 2025)