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Identifying candidate hosts for quantum defects via data mining

Chemistry

Identifying candidate hosts for quantum defects via data mining

A. M. Ferrenti, N. P. D. Leon, et al.

This research systematically evaluates host materials for quantum defects, identifying 541 viable candidates through a detailed screening process. Conducted by Austin M. Ferrenti, Nathalie P. de Leon, Jeff D. Thompson, and Robert J. Cava, this study offers groundbreaking insights applicable across material systems.

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