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Identifying Defects with Guided Algorithms in Bragg Coherent Diffractive Imaging.

A Ulvestad1, Y Nashed2, G Beutier3

  • 1Materials Science Division, Argonne National Laboratory, Argonne, Illinois, 60439, USA. aulvestad@anl.gov.

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|September 1, 2017
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Summary
This summary is machine-generated.

Imaging crystallographic defects in materials is challenging. This study explores guided phase retrieval algorithms for Bragg coherent diffractive imaging (BCDI) to accurately reconstruct defect networks in crystals.

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Area of Science:

  • Materials Science
  • Crystallography
  • Imaging Techniques

Background:

  • Crystallographic defects like dislocations significantly impact material properties.
  • Imaging these defects in situ, especially in reactive environments, is difficult due to scale and complexity.
  • Bragg coherent diffractive imaging (BCDI) offers high-resolution 3D defect imaging in nanocrystals.

Purpose of the Study:

  • To investigate guided phase retrieval algorithms for BCDI of defective crystals.
  • To assess the performance of different algorithms under varying defect types, densities, and signal-to-noise ratios.
  • To develop a general strategy for phasing defective crystals without prior information.

Main Methods:

  • Numerical simulations of BCDI data from defective crystals.
  • Exploration of various guided phase retrieval algorithms.
  • Analysis of algorithm performance based on defect characteristics and signal-to-noise ratio.

Main Results:

  • Guided phase retrieval algorithms show promise for reconstructing defect networks in crystals.
  • Algorithm performance is sensitive to defect type, density, and signal quality.
  • Identified key parameters influencing successful phase retrieval for defective crystals.

Conclusions:

  • Guided phase retrieval offers a viable path for imaging defects in crystals using BCDI.
  • A generalized approach for phasing defective crystals can be developed from these findings.
  • This work provides a framework for improved in situ defect characterization in materials science.