Identifying Defects with Guided Algorithms in Bragg Coherent Diffractive Imaging

Crystallographic defects such as dislocations can significantly alter material properties and functionality. However, imaging these imperfections during operation remains challenging due to the short length scales involved and the reactive environments of interest. Bragg coherent diffractive imaging...

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Bibliographic Details
Published in:Scientific reports 2017-08, Vol.7 (1), p.9920-9, Article 9920
Main Authors: Ulvestad, A, Nashed, Y, Beutier, G, Verdier, M, Hruszkewycz, S O, Dupraz, M
Format: Article
Language:English
Subjects:
Algorithms
Chemical Sciences
Condensed Matter
Cristallography
Crystals
Fitness
MATERIALS SCIENCE
Physics
Spatial discrimination
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Summary:Crystallographic defects such as dislocations can significantly alter material properties and functionality. However, imaging these imperfections during operation remains challenging due to the short length scales involved and the reactive environments of interest. Bragg coherent diffractive imaging (BCDI) has emerged as a powerful tool capable of identifying dislocations, twin domains, and other defects in 3D detail with nanometer spatial resolution within nanocrystals and grains in reactive environments. However, BCDI relies on phase retrieval algorithms that can fail to accurately reconstruct the defect network. Here, we use numerical simulations to explore different guided phase retrieval algorithms for imaging defective crystals using BCDI. We explore different defect types, defect densities, Bragg peaks, and guided algorithm fitness metrics as a function of signal-to-noise ratio. Based on these results, we offer a general prescription for phasing of defective crystals with no a priori knowledge.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-017-09582-7