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High-Efficiency Three-Dimensional Visualization of Complex Microstructures via Multidimensional STEM Acquisition and Reconstruction

Published online by Cambridge University Press:  16 March 2020

Kevin G. Field Open the ORCID record for Kevin G. Field [Opens in a new window] ,
Benjamin P. Eftink ,
Chad M. Parish  and
Stuart A. Maloy
Kevin G. Field*
Affiliation:
Nuclear Engineering and Radiological Sciences, University of Michigan, Ann Arbor, MI48109, USA
Benjamin P. Eftink
Affiliation:
Los Alamos National Laboratory, Los Alamos, NM87544, USA
Chad M. Parish
Affiliation:
Oak Ridge National Laboratory, Oak Ridge, TN37831, USA
Stuart A. Maloy
Affiliation:
Los Alamos National Laboratory, Los Alamos, NM87544, USA
*
*Author for correspondence: Kevin G. Field, E-mail: kgfield@umich.edu
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Abstract

Complex material systems in which microstructure and microchemistry are nonuniformly dispersed require three-dimensional (3D) rendering(s) to provide an accurate determination of the physio-chemical nature of the system. Current scanning transmission electron microscope (STEM)-based tomography techniques enable 3D visualization but can be time-consuming, so only select systems or regions are analyzed in this manner. Here, it is presented that through high-efficiency multidimensional STEM acquisition and reconstruction, complex point cloud-like microstructural features can quickly and effectively be reconstructed in 3D. The proposed set of techniques is demonstrated, analyzed, and verified for a high-chromium steel with heterogeneously situated features induced using high-energy neutron bombardment.

Keywords

alloy developmentmaterials sciencemicroscopynuclear engineering
Type
Software and Instrumentation
Information
Microscopy and Microanalysis , Volume 26 , Issue 2 , April 2020 , pp. 240 - 246
Copyright
Copyright © Microscopy Society of America 2020

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