TAS-AI hybrid active learning separates model-agnostic detection from physics-informed inference and refinement in spin wave spectroscopy, reaching decisive model evidence in under 10 measurements while cutting wall-clock time by 32%.
A loggp_active batch is forced when- ever six measurements have elapsed since the previous Log-GP batch
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Accelerating Quantum Materials Characterization: Hybrid Active Learning for Autonomous Spin Wave Spectroscopy
TAS-AI hybrid active learning separates model-agnostic detection from physics-informed inference and refinement in spin wave spectroscopy, reaching decisive model evidence in under 10 measurements while cutting wall-clock time by 32%.