Comparison of dissimilarity measures for cluster analysis of X-ray diffraction data from combinatorial libraries

Machine learning: Spying enhanced materials with x-ray vision Using algorithms to automatically spot variations in massive X-ray diffraction data sets may improve design of multi-component alloys. Having three or more metals in an alloy can lead to overwhelming combinations of possible materials, ea...

Full description

Bibliographic Details
Main Authors: Yuma Iwasaki, A. Gilad Kusne, Ichiro Takeuchi
Format: Article
Language:English
Published: Nature Publishing Group 2017-02-01
Series:npj Computational Materials
Online Access:https://doi.org/10.1038/s41524-017-0006-2