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physics.plasm-ph2026
A machine learning framework for developing quasilinear saturation rules of turbulent transport from linear gyrokinetic data
Preeti Sar, Sebastian De Pascuale, Harry Dudding +1
A new neural network model for a quasilinear saturation rule has been developed to map linear gyrokinetic data to nonlinear saturated potential magnitudes to predict the total ener…
physics.plasm-ph2025
Autoregressive long-horizon prediction of plasma edge dynamics
Hunor Csala, Sebastian De Pascuale, Paul Laiu +3
Accurate modeling of scrape-off layer (SOL) and divertor-edge dynamics is vital for designing plasma-facing components in fusion devices. High-fidelity edge fluid/neutral codes suc…