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Inertial Confinement Fusion with AI-Optimized Drive Symmetry
arXiv:2502.19844
NIF AI Collaboration
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Machine-learned drive shaping improves hot-spot symmetry in ICF experiments and delivers a measurable neutron-yield boost over expert baselines.
Read free explainer →Machine-learned drive shaping improves hot-spot symmetry in inertial confinement fusion experiments, yielding a statistically significant boost in neutron yield relative to expert-tuned baselines on a multi-shot campaign.