Big Data Analytics for Scanning Transmission Electron Microscopy Ptychography
10.13139/OLCF/1463599Dataset containing the raw data and results from analyses, along with supporting Jupyter notebook that shows the processing of data in the following paper: Big Data Analytics for Scanning Transmission Electron Microscopy Ptychography S. Jesse, M. Chi, A. Belianinov, C. Beekman, S. V. Kalinin, A. Y. Borisevich and A. R. Lupini Scientific Reports volume 6, Article number: 26348 (2016) https://www.nature.com/articles/srep26348
Published: 2018-08-06 15:22:06 Download DatasetDataset Properties
Field | Value |
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Authors |
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Project Identifier | STF011 |
Dataset Type | ND Numeric Data |
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Software Needed | python 2.7 or 3.4+, with packages: numpy, h5py, scikit-learn, matplotlib, ipython, pyUSID, pycroscopy |
Originating Organizations | Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States) |
Sponsoring Organizations | Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21) |
DOE Contract | DEAC0500OR22725 |
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Acknowledgements
Papers using this dataset are requested to include the following text in their acknowledgements:
*Support for 10.13139/OLCF/1463599 is provided by the U.S. Department of Energy, project STF011 under Contract DEAC0500OR22725. This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility.