Establishing topological benchmarks for three-dimensional x-ray diffraction microscopy

A quantitative characterization of 3D topology is paramount for understanding microstructure and its time-evolution. This Perspective establishes a framework to evaluate the accuracy of emergent 3D x-ray diffraction microscopy (3DXRD) methods in capturing topological features, such as the grain boundaries, triple-junctions, and their correlations over topological distance. As a case study, we compare reconstructions from synchrotron- and laboratory-based x-ray diffraction tomography. We find the laboratory technique distorts connectivity of grains, and these discrepancies propagate over larger topological distances. By benchmarking these techniques against simulations and theory, we highlight the strengths and limitations of 3DXRD methods for 3D grain topology reconstruction.

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Publication Details

Journal
Materials Research Letters
Published
2025-06-09
DOI
https://doi.org/10.1080/21663831.2025.2517730
Citations
2
Primary Topic
Advanced X-ray Imaging Techniques
Type
article
Field-Weighted Citation Impact
3.77

Funders

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article

Establishing topological benchmarks for three-dimensional x-ray diffraction microscopy

Y. Zhang, Ashwin J. Shahani, Dorte Juul Jensen
2 citations
Materials Research Letters
Advanced X-ray Imaging Techniques
3.77
article

Establishing topological benchmarks for three-dimensional x-ray diffraction microscopy

Y. Zhang, Ashwin J. Shahani, Dorte Juul Jensen
article en
2 citations

Abstract

A quantitative characterization of 3D topology is paramount for understanding microstructure and its time-evolution. This Perspective establishes a framework to evaluate the accuracy of emergent 3D x-ray diffraction microscopy (3DXRD) methods in capturing topological features, such as the grain boundaries, triple-junctions, and their correlations over topological distance. As a case study, we compare reconstructions from synchrotron- and laboratory-based x-ray diffraction tomography. We find the laboratory technique distorts connectivity of grains, and these discrepancies propagate over larger topological distances. By benchmarking these techniques against simulations and theory, we highlight the strengths and limitations of 3DXRD methods for 3D grain topology reconstruction.

Materials Research LettersVol. 13(7)
University of Michigan (US), Technical University of Denmark (DK)
Villum Fonden, Otto Mønsteds Fond, Army Research Office
Openalex Percentile: Top 7%
Advanced X-ray Imaging Techniques
3.77
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