Fuel puffing exceeds core fuelling by ~10x in detached operation, invalidating core-fuelling-dominant assumptions in TFC models and demanding integrated plasma-TFC reactor design with mitigation options that trade fusion power or core purity.
Analytical calculations for impurity seeded partially detached divertor conditions
2 Pith papers cite this work. Polarity classification is still indexing.
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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.
citing papers explorer
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On the Relationship Between Plasma and Tritium Fuel Cycle Through Matter Injection and Particle Exhaust
Fuel puffing exceeds core fuelling by ~10x in detached operation, invalidating core-fuelling-dominant assumptions in TFC models and demanding integrated plasma-TFC reactor design with mitigation options that trade fusion power or core purity.
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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.