Machine learning on the largest curated alkali-activated slag dataset shows that average metal oxide dissociation energy serves as a compact, physically interpretable reactivity descriptor enabling strength prediction and low-emission design space exploration.
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Mahalanobis PatchCore adds covariance-aware whitening and incremental streaming aggregation to PatchCore, preserving benchmark performance while cutting peak memory from 5.41 GB to 2.78 GB and raising mean industrial AUC from 0.981 to 0.986.
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