Unsupervised Data Mining in nanoscale X-ray Spectro-Microscopic Study of NdFeB Magnet

Novel developments in X-ray based spectro-microscopic characterization techniques have increased the rate of acquisition of spatially resolved spectroscopic data by several orders of magnitude over what was possible a few years ago. This accelerated data acquisition, with high spatial resolution at...

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Published inScientific reports Vol. 6; no. 1; p. 34406
Main Authors Duan, Xiaoyue, Yang, Feifei, Antono, Erin, Yang, Wenge, Pianetta, Piero, Ermon, Stefano, Mehta, Apurva, Liu, Yijin
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 29.09.2016
Nature Publishing Group
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Summary:Novel developments in X-ray based spectro-microscopic characterization techniques have increased the rate of acquisition of spatially resolved spectroscopic data by several orders of magnitude over what was possible a few years ago. This accelerated data acquisition, with high spatial resolution at nanoscale and sensitivity to subtle differences in chemistry and atomic structure, provides a unique opportunity to investigate hierarchically complex and structurally heterogeneous systems found in functional devices and materials systems. However, handling and analyzing the large volume data generated poses significant challenges. Here we apply an unsupervised data-mining algorithm known as DBSCAN to study a rare-earth element based permanent magnet material, Nd 2 Fe 14 B. We are able to reduce a large spectro-microscopic dataset of over 300,000 spectra to 3, preserving much of the underlying information. Scientists can easily and quickly analyze in detail three characteristic spectra. Our approach can rapidly provide a concise representation of a large and complex dataset to materials scientists and chemists. For example, it shows that the surface of common Nd 2 Fe 14 B magnet is chemically and structurally very different from the bulk, suggesting a possible surface alteration effect possibly due to the corrosion, which could affect the material’s overall properties.
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USDOE
AC02-76SF00515
SLAC-PUB-16817
ISSN:2045-2322
2045-2322
DOI:10.1038/srep34406