Published August 30, 2022 | Version 1.0
Dataset Open

Phase Object Reconstruction for 4D-STEM using Deep Learning, (4D-STEM Example Data)

  • 1. University of Antwerp

Description

Overview

This repository contains 2 example 4D-STEM datasets format from the paper "Phase Object Reconstruction for 4D-STEM using Deep Learning". The data was written to hdf5 for compatibility with the python programming language. When reading from these files consider possibly different storage conventions (Row major vs. column major format). Data may need to be transposed accordingly.

 

Parameters

The twisted bilayer graphene dataset is simulated. The smaller file is an experimental SrTiO3 dataset.

  Graphene STO
E0 200kV 300kV
Apeture 25 mrad 20 mrad
Detector Size 2.5 Å-1 1.6671 Å-1
Dimensions 101x101x128x128 60x60x64x64
Step Size 0.2 0.1818


 

Files

Files (1.5 GB)

Name Size Download all
md5:5efc376394fb21fd390c5f9af4a30b81
118.0 MB Download
md5:931e1c80906204afcbebc86d5b7bc4ae
1.3 GB Download

Additional details

Related works

Is referenced by
Dataset: 10.5281/zenodo.6971200 (DOI)
References
Dataset: 10.5281/zenodo.6971200 (DOI)

Funding

European Commission
PICOMETRICS - Picometer metrology for light-element nanostructures: making every electron count 770887
European Commission
ESTEEM3 - Enabling Science and Technology through European Electron Microscopy 823717