FURI | Fall 2024
Artificial Intelligent Materials Crystal Classifier (A.I.- MC2)
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