Cluster Analysis of Combined EDS and EBSD Data to Solve Ambiguous Phase Identifications

Parish, Chad M.

doi:10.1017/S1431927622000010

Cluster Analysis of Combined EDS and EBSD Data to Solve Ambiguous Phase Identifications

Journal Article · Thu Mar 03 00:00:00 EST 2022 · Microscopy and Microanalysis

DOI:https://doi.org/10.1017/S1431927622000010· OSTI ID:1847441

A common problem in analytical scanning electron microscopy (SEM) using electron backscatter diffraction (EBSD) is the differentiation of phases with distinct chemistry but the same or very similar crystal structure. X-ray energy dispersive spectroscopy (EDS) is useful to help differentiate these phases of similar crystal structures but different elemental makeups. However, open, automated, and unbiased methods of differentiating phases of similar EBSD responses based on their EDS response are lacking. This paper describes a simple data analytics-based method, using a combination of singular value decomposition and cluster analysis, to merge simultaneously acquired EDS + EBSD information and automatically determine phases from both their crystal and elemental data. I use hexagonal TiB ₂ ceramic contaminated with multiple crystallographically ambiguous but chemically distinct cubic phases to illustrate the method. Code, in the form of a Python 3 Jupyter Notebook, and the necessary data to replicate the analysis are provided as Supplementary material.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE; USDOE Office of Science (SC), Fusion Energy Sciences (FES)

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1847441

Alternate ID(s):: OSTI ID: 1885370

Journal Information:: Microscopy and Microanalysis, Journal Name: Microscopy and Microanalysis Journal Issue: 2 Vol. 28; ISSN 1431-9276

Publisher:: Oxford University PressCopyright Statement

Country of Publication:: United States

Language:: English

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