AI-driven XRD spectra interpretation and classification

This project aims to develop an advanced system for interpreting X-ray diffraction (XRD) data and classifying it based on insights provided by Subject Matter Experts (SMEs). XRD is a critical analytical technique used across various industries, including materials science, geology, and geophysics, to determine the crystallographic structure of materials. However, the raw spectra generated from XRD analysis are often complex and require expert interpretation to derive meaningful conclusions.

Faculty Supervisor:

Jake Doliskani

Student:

Partner:

ALS GeoAnalytics

Discipline:

Computer science

Sector:

Mining

University:

McMaster University

Program:

Business Strategy Internship

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