Unsupervised data mining in nanoscale x-ray spectro-microscopic study of NdFeB magnet

Duan, Xiaoyue; Yang, Feifei; Antono, Erin; Yang, Wenge; Pianetta, Piero; Ermon, Stefano; Mehta, Apurva; Liu, Yijin

doi:10.1038/srep34406

Title: Unsupervised data mining in nanoscale x-ray spectro-microscopic study of NdFeB magnet

Journal Article · Thu Sep 29 00:00:00 EDT 2016 · Scientific Reports

DOI:https://doi.org/10.1038/srep34406· OSTI ID:1331596

Duan, Xiaoyue ^[1]; Yang, Feifei ^[2]; Antono, Erin ^[3]; Yang, Wenge ^[4]; Pianetta, Piero ^[5]; Ermon, Stefano ^[3]; Mehta, Apurva ^[5]; Liu, Yijin ^[5]

Wuhan Univ., Hubei (China)
UCSF, San Francisco, CA (United States)
Stanford Univ., Stanford, CA (United States)
Center for High Pressure Science and Technology Advanced Research, Shanghai (China)
SLAC National Accelerator Lab., Menlo Park, CA (United States)

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, Nd₂Fe₁₄B. 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 instance, it shows that the surface of common Nd₂Fe₁₄B 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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Research Organization:: SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC02-76SF00515

OSTI ID:: 1331596

Report Number(s):: SLAC-PUB-16817; srep34406; TRN: US1601863

Journal Information:: Scientific Reports, Vol. 6; ISSN 2045-2322

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 18 works

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