AI-enhanced X-ray diffraction analysis: towards real-time mineral phase identification and quantification

Abstract

The use of convolutional neural networks can revolutionize XRD analysis by significantly reducing processing times. Demonstration against synthetic and real mineral mixture data provide a first assessment of the accuracy of such methods.

Keywords

• computational modeling
• convolutional neural networks
• powder x-ray diffraction
• mineral phase identification