Variance-based data point selection combined with the SALI neural network reduces nuclear spin characterization time by 85% in experiment (high field) and predicts 60% savings in simulation (low field).
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Reducing Sensing Time through Offline Experimental Design for Nuclear Spin Detection
Variance-based data point selection combined with the SALI neural network reduces nuclear spin characterization time by 85% in experiment (high field) and predicts 60% savings in simulation (low field).