2 papers
physics.plasm-ph2026
ELMO: An Uncertainty-Aware Simulation-to-Surrogate Workflow for Fast Pedestal Linear-Stability Prediction
Nami Li, X. Q. Xu, T. Osborne +5
Rapid prediction of pedestal linear stability is important for exploring tokamak operating space, uncertainty quantification, and future model-informed control, but mode-resolved m…
physics.plasm-ph2026
Integrating Gyrokinetic Flux Predictions with Ideal MHD Stability Boundaries
J. McClenaghan, K. E. Thome, T. F. Neiser +5
Accurate prediction of pedestal height and width in tokamaks remains a critical issue as it strongly influences the predicted plasma performance of all future reactors. We present…