Constructing a new predictive scaling formula for ITER's divertor heat-load width informed by a simulation-anchored machine learning

C. S. Chang, S. Ku, R. Hager +6

Understanding and predicting divertor heat-load width ${\lambda }_q$ is a critically important problem for an easier and more robust operation of ITER with high fusion gain. Previous predic…