FURI | Fall 2024

Artificial Intelligent Materials Crystal Classifier (A.I.- MC2)

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X-ray diffraction (XRD) is a valuable tool for classifying crystalline materials by phase composition, grain size, and degree of crystallinity. Interpretation of XRD is presently a very time-consuming and imprecise method, especially when performed by hand. Although the use of computer programs has improved XRD analysis, they fall far short of what may be possible with AI. This FURI project aims to demonstrate how a machine learning algorithm can be used to process XRD spectra in seconds vs hours and with high precision on the ceramic biomaterial, hydroxyapatite, leaving more time and effort to address other research aims.

Student researcher

Anthony De Luz

Biomedical engineering

Hometown: Chandler, Arizona, United States

Graduation date: Spring 2026