Preprint
Aug 2026
Machine learning methods for modelling local, linear gyrokinetic simulations of MAST-U pedestal turbulence
This work investigates machine-learning surrogate models for local linear gyrokinetic simulations in a MAST-U-relevant pedestal parameter space, with the aim of providing faster gyrokinetic-based inputs to reduced pedestal models.
A. Niemelä, D. Jordan, A. Järvinen et al.
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