Fig. 1
From: Interpretable machine learning models classify minerals via spectroscopy
Illustration of the Smart Spectral Matching workflow: Step 1 is ingestion of raw Raman spectral data from an unknown sample, Step 2 runs this spectral data against trained classifier models to return a present/absent determination with associated confidence, generating a mineral profile in Step 3 with chemical and structural information.
