SEM and STEM X-ray spectrum images

Parish, Chad

doi:10.13139/ORNLNCCS/1820904

Title: SEM and STEM X-ray spectrum images

Dataset
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Abstract

This is supplemental information to a paper tentatively titled "Applying Data Analytics Methods to X-ray Spectrum Images." Datasets are in the format of .h5 in the pyUSID flavor. SEM_small.h5 is 5 keV beam energy map of a TiB2 ceramic puck. SEM_large.h5 is a 20 keV map of the same sample. STEM.h5 is a STEM 200 keV map of neutron-irradiated tungsten (due to transmutation burnout, it has become a W-Re-Os alloy).

Authors:: Parish, Chad

Publication Date:: 2021-09-21

DOE Contract Number:: DE-AC05-00OR2272

Research Org.:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF)

Sponsoring Org.:: USDOE Office of Science (SC)

Subject:: 36 MATERIALS SCIENCE

OSTI Identifier:: 1820904

DOI:: https://doi.org/10.13139/ORNLNCCS/1820904

Citation Formats


                    Parish, Chad. SEM and STEM X-ray spectrum images.  United States: N. p., 2021. 
        Web.  doi:10.13139/ORNLNCCS/1820904.

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                    Parish, Chad. SEM and STEM X-ray spectrum images.  United States.  doi:https://doi.org/10.13139/ORNLNCCS/1820904

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                    Parish, Chad. 2021.  
"SEM and STEM X-ray spectrum images".  United States.  doi:https://doi.org/10.13139/ORNLNCCS/1820904.  https://www.osti.gov/servlets/purl/1820904. Pub date:Tue Sep 21 00:00:00 EDT 2021

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@article{osti_1820904,

  title        = {SEM and STEM X-ray spectrum images},

  author       = {Parish, Chad},

  abstractNote = {This is supplemental information to a paper tentatively titled "Applying Data Analytics Methods to X-ray Spectrum Images." Datasets are in the format of .h5 in the pyUSID flavor. SEM_small.h5 is 5 keV beam energy map of a TiB2 ceramic puck. SEM_large.h5 is a 20 keV map of the same sample. STEM.h5 is a STEM 200 keV map of neutron-irradiated tungsten (due to transmutation burnout, it has become a W-Re-Os alloy).},

  doi          = {10.13139/ORNLNCCS/1820904},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {2021},

  month        = {9}

}

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DOI: https://doi.org/10.13139/ORNLNCCS/1820904

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