SOLPS-NN is a fully connected neural network surrogate trained on SOLPS-ITER simulations that predicts spatial plasma profiles and indicates access to detachment with experimental trends.
Physics basis for the first ITER tungsten divertor
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Deep-Learning based surrogate models for plasma exhaust simulations -- SOLPS-NN
SOLPS-NN is a fully connected neural network surrogate trained on SOLPS-ITER simulations that predicts spatial plasma profiles and indicates access to detachment with experimental trends.