Grain boundary networks in nanocrystalline alloys from atom probe tomography quantization and autocorrelation mapping
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Physica-Chen-Schuh-APT-2015-6-16.pdf
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2.94 MB
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Checksum (MD5)
389b918441607f32a80b5a39e70de8b4
Author(s)
Chen, Ying
Schuh, Christopher A.
Date Issued
July 2015
Journal
physica status solidi (a)
Publisher
Wiley Blackwell
Citation
Chen, Ying, and Christopher A. Schuh. “Grain Boundary Networks in Nanocrystalline Alloys from Atom Probe Tomography Quantization and Autocorrelation Mapping.” Physica Status Solidi (a) 212, no. 10 (July 14, 2015): 2302–2308.
Version
Author's final manuscript
Abstract
A local spatial autocorrelation-based modeling method is developed to reconstruct nanoscale grain structures in nanocrystalline materials from atom probe tomography (APT) data, which provide atomic positions and species, with minimal noise. Using a nanocrystalline alloy with an average grain size of 16 nm as a model material, we reconstruct the three-dimensional grain boundary network by carrying out two series of APT data quantization using ellipsoidal binning, the first probing the anisotropy in the apparent local atomic density and the second quantifying the local spatial autocorrelation. This approach enables automatic and efficient quantification and visualization of grain structure in a large volume and at the finest nanoscale grain sizes, and provides a means for correlating local chemistry with grain boundaries or triple junctions in nanocrystalline materials. Nanoscale grain boundary networks are reconstructed from atom probe tomography data, which provide atomic positions and species for a fraction of atoms within a nanocrystalline material with an average grain size of 16 nm, using a quantization and local spatial autocorrelation-based approach.
MIT Department
Massachusetts Institute of Technology. Department of Materials Science and Engineering
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1002/pssa.201532236
