Trained on nonlinear FAR3d simulations, Gaussian process and neural-network surrogates predict ITER energetic-particle transport fluxes with test R2 > 0.97 and a five to six order-of-magnitude speedup.
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Machine-learning surrogate models for nonlinear energetic-particle transport predictions in ITER
Trained on nonlinear FAR3d simulations, Gaussian process and neural-network surrogates predict ITER energetic-particle transport fluxes with test R2 > 0.97 and a five to six order-of-magnitude speedup.