Big Data Analytics for Scanning Transmission Electron Microscopy Ptychography
Description
Funding Information
DOE Contract Number
DEAC0500OR22725Originating Research Organization
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)Sponsoring Organization
Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)Project Identifier
STF011Related Works
- IsSupplementTo (DOI): https://doi.org/10.1038/srep26348
Details
Release Date
August 6, 2018Subject
MATERIALS SCIENCE, NANOSCIENCE AND NANOTECHNOLOGY, MATHEMATICS AND COMPUTINGKeywords
Scanning Transmission Electron MicroscopyDataset
Dataset Type
ND Numeric DataSoftware
python 2.7 or 3.4+, with packages: numpy, h5py, scikit-learn, matplotlib, ipython, pyUSID, pycroscopyCite This Dataset:
Somnath, S., Jesse, S., Belianinov, A., Beekman, C., Kalinin, S., Borisevich, A., Chi, M., Lupini, A. (2018). Big Data Analytics for Scanning Transmission Electron Microscopy Ptychography. Oak Ridge National Laboratory. https://doi.org/10.13139/OLCF/1463599.
Acknowledgements
This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Advanced Scientific Computing Research programs in the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725.