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Andrew T. Fraser

Publications and source records attributed to Andrew T. Fraser.

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The structural effects of (111) growth of La2CoMnO6 on SrTiO3 and LSAT -- new insights from 3D crystallographic characterisation with 4D-STEM and Digital Dark Field imaging

The 3-dimensional orientation of La atom modulations has been mapped in two thin films of La2CoMnO6 grown on SrTiO3 and LSAT ([La,Sr,Al,Ta] oxide) using a 4D-scanning transmission electron microscopy (4D-STEM) method based on the recently developed Digital Dark Field method. This images the shifts of diffraction spots and the azimuthal intensity distribution in the First Order Laue Zone, and then uses them to reconstruct and map the 3D crystallography. This clearly shows a flip from out-of-plane modulation with tensile strain on SrTiO3 to in-plane modulation with compressive strain on LSAT. This hitherto unobserved crystallographic change had a significant influence on the out-of-plane lattice parameter which left more room for the full incorporation of the larger CoO6 octahedra in the film grown on LSAT and therefore explained the improved Mn-Co ordering and better properties for this film. Moreover, the method would be applicable to many other systems of epitaxial growth of complex oxides, revealing crystallographic details of crucial importance to properties which are not visible in conventional atomic resolution imaging.

cond-mat.mtrl-sci

Digital Dark Field -- Higher Contrast and Greater Specificity Dark Field Imaging using a 4DSTEM Approach

A new method for dark field imaging is introduced which uses scanned electron diffraction (or 4DSTEM - 4-dimensional scanning transmission electron microscopy) datasets as its input. Instead of working on simple summation of intensity, it works on a sparse representation of the diffraction patterns in terms of a list of their diffraction peaks. This is tested on a thin perovskite film containing structural ordering resulting in additional superlattice spots that reveal details of domain structures, and is shown to give much better selectivity and contrast than conventional virtual dark field imaging. It is also shown to work well in polycrystalline aggregates of CuO nanoparticles. In view of the higher contrast and selectivity, and the complete exclusion of diffuse scattering from the image formation, it is expected to be of significant benefit for characterisation of a wide variety of crystalline materials.

cond-mat.mtrl-sci