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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2017-02-01
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| Series: | npj Computational Materials |
| Online Access: | https://doi.org/10.1038/s41524-017-0006-2 |