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Eurofusion Tokamak Exploitation Team

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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. · 0 citations

Preprint Aug 2026

An Inverse Grad-Shafranov Neural Network Approach to Tokamak Magnetic Control

A new approach to tokamak magnetic control enabling high-precision plasma shaping and novel real-time adaptability is experimentally demonstrated on the Tokamak a Configuration Variable (TCV). The method is motivated by the insight that, under appropriate assumptions, a real-time inverse Grad-Shafranov solver approxima...

Allen M. Wang, A. Mele, C. Heiß et al. · 0 citations