Y. Ghai

Machine-learning surrogate models for nonlinear energetic-particle transport predictions in ITER

Fast and accurate prediction of energetic-particle transport driven by Alfv\'en eigenmode (AE) instabilities is essential for integrated modeling workflows used in the design and optimization of burning plasma fusion reactors. In this work, we develop machine-learning-based surrogate models for rapid prediction of ener...