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Atomic resolution HOLZ-STEM imaging of atom position modulation in oxide heterostructures

Nord, Magnus ; Barthel, Juri ; Allen, Christopher S. ; McGrouther, Damien ; Kirkland, Angus I. ; MacLaren, Ian

Zenodo 2021

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  • Título:
    Atomic resolution HOLZ-STEM imaging of atom position modulation in oxide heterostructures
  • Autor: Nord, Magnus ; Barthel, Juri ; Allen, Christopher S. ; McGrouther, Damien ; Kirkland, Angus I. ; MacLaren, Ian
  • Notas: 10.1016/j.ultramic.2021.113296
    RelationTypeNote: IsCitedBy -- 10.1016/j.ultramic.2021.113296
    10.5281/zenodo.4061716
    RelationTypeNote: HasVersion -- 10.5281/zenodo.4727847
    RelationTypeNote: HasVersion -- 10.5281/zenodo.4061716
    10.5281/zenodo.4727847
  • Descrição: Dataset and python processing scripts for the journal article "Atomic resolution HOLZ-STEM imaging of atom position modulation in oxide heterostructures" DOI for the journal article: https://doi.org/10.1016/j.ultramic.2021.113296 There are two types of data in this deposit, experimental and simulated: The simulated is contained in the sim_data_deposit.zip file The experimental is in the "root" folder. This is in the form of the raw data files themselves, the python scripts and the intermediate files. The experimental data The raw, original, dataset is 011_big_film_512x512.emd. Which is a hdf5-file following the EMD (NCEM) standard. In addition, a reconverted version of this file, with a more optimized internal structure, which can be loaded directly in HyperSpy and pyXem is included (011_big_film_512x512_updated.hspy). The python processing files are intended to be run from the first, a000, to the last b010. In the order a000, a001, a002, ... b000, b001, ... The python library and version requirements are found in requirements.txt. The most important ones being HyperSpy and pixStem. Note that pixStem has been merged with the pyXem project, but the pixStem code will remain available for the foreseeable future. The 011_big_film_512x512_updated.hspy is included for convenience, to make it easier to explore the data with more recent versions of HyperSpy and pyXem. In addition, it has a more optimized internal structure (via more optimized chunking). To view it, install HyperSpy and load the data: import hyperspy.api as hs s = hs.load("011_big_film_512x512_updated.hspy") s.plot()
  • Editor: Zenodo
  • Data de criação/publicação: 2021
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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