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

44 citations · 44 across the 1 of their papers we have counts for

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physics.plasm-ph2021★ 44 cited

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 is a critically important problem for an easier and more robust operation of ITER with high fusion gain. Previous predic…