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Automated Crystal Orientation Mapping in py4DSTEM using Sparse Correlation Matching.

Colin Ophus1, Steven E Zeltmann2, Alexandra Bruefach2

  • 1National Center for Electron Microscopy, Molecular Foundry, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA94720, USA.

Microscopy and Microanalysis : the Official Journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada
|February 9, 2022
PubMed
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This summary is machine-generated.

We developed an automated crystal orientation mapping (ACOM) method to analyze complex crystalline materials. This technique accurately identifies crystal phases and orientations, crucial for technological applications.

Area of Science:

  • Materials Science
  • Crystallography
  • Electron Microscopy

Background:

  • Technological applications rely on crystalline materials, often complex assemblies of multiple phases and grains.
  • Accurate identification of phases and orientation relationships is crucial but challenging due to incomplete diffraction data.
  • Electron beam techniques provide diffraction patterns, but extracting complete information is difficult.

Purpose of the Study:

  • To develop an automated crystal orientation mapping (ACOM) procedure for analyzing complex crystalline samples.
  • To create a fast and accurate algorithm for indexing diffraction patterns.
  • To demonstrate the method's efficacy on simulated and experimental data.

Main Methods:

  • Utilized a converged electron probe to collect diffraction patterns from multiple sample locations.
Keywords:
automated crystal orientation mapping (ACOM)four-dimensional scanning transmission electron microscopy (4D-STEM)nanobeam electron diffraction (NBED)open-source softwarescanning electron nanodiffraction (SEND)

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  • Developed a fast sparse correlation algorithm for indexing diffraction patterns.
  • Applied the automated crystal orientation mapping (ACOM) procedure to a polycrystalline twisted helical AuAgPd nanowire.

    • Main Results:

    • Successfully indexed diffraction patterns from both kinematical and dynamical simulations, demonstrating speed and accuracy.
    • Generated orientation maps from an experimental dataset of a complex AuAgPd nanowire.
    • Identified twin planes between adjacent grains in the nanowire, potentially explaining its helical structure.

    Conclusions:

    • The developed automated crystal orientation mapping (ACOM) procedure provides a robust method for analyzing complex crystalline materials.
    • The open-source code and tutorials facilitate widespread adoption and application of ACOM.
    • This technique enhances the understanding of microstructural features and their impact on material properties.