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Reuniting crystallography with real space: Ab initio structure elucidation with 4D-STEM
Ambarneil Saha1, Alexander J Pattison1, Karen C Bustillo1
1National Center for Electron Microscopy, Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA 94720.
This study introduces a new method using 4D scanning transmission electron microscopy to combine real-space and diffraction-space data for crystal structure determination. This approach successfully solved structures of metal-organic frameworks previously intractable with conventional methods.
Area of Science:
- Crystallography
- Materials Science
- Electron Microscopy
Background:
- Traditional single-crystal structure elucidation relies solely on diffraction-space data.
- Experimental access to real-space information has been limited in crystallography.
- Agglomerated nanostructures pose challenges for conventional microcrystal electron diffraction.
Purpose of the Study:
- To integrate real-space information into the crystallographic workflow using 4D scanning transmission electron microscopy (4D STEM).
- To overcome limitations of conventional methods for structure determination of challenging nanoscale materials.
- To enable direct methods for solving scanning nanobeam electron diffraction structures.
Main Methods:
- Exploiting the dual-space imaging capabilities of 4D STEM.
- Utilizing virtual apertures created by segmenting high-angle annular dark-field (HAADF) images.
- Separating coherent Bragg signals from closely spaced nanocrystals.
- Selectively extracting integrated intensities from specific subregions of specimens.
Main Results:
- Pixel-by-pixel separation of Bragg signal from nanocrystal clusters.
- Selective intensity extraction for tuning multiple scattering artifacts.
- Successful structure solution of the metal-organic framework UiO-66 from intractable specimens.
- Demonstration of subangstrom resolution structures determined by direct methods using scanning nanobeam electron diffraction.
Conclusions:
- The developed 4D STEM strategy effectively integrates real-space and diffraction-space data for structure elucidation.
- This method allows for the selection of optimal nanoscale regions for high-quality diffraction data acquisition.
- It provides a powerful new approach for solving crystal structures of nanomaterials, including those with complex morphologies.
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