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Infrastructure for Analysis of Large Microscopy and Microanalysis Data Sets

Published online by Cambridge University Press:  22 July 2022

Jingrui Wei ,
Carter Francis ,
Dane Morgan ,
KJ Schmidt ,
Aristana Scourtas ,
Ian Foster ,
Ben Blaiszik  and
Paul M. Voyles
Jingrui Wei
Affiliation:
Department of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States
Carter Francis
Affiliation:
Department of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States
Dane Morgan
Affiliation:
Department of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States
KJ Schmidt
Affiliation:
University of Chicago, Globus / Argonne National Laboratory – Data Science and Learning Division
Aristana Scourtas
Affiliation:
University of Chicago, Globus / Argonne National Laboratory – Data Science and Learning Division
Ian Foster
Affiliation:
University of Chicago, Globus / Argonne National Laboratory – Data Science and Learning Division
Ben Blaiszik
Affiliation:
University of Chicago, Globus / Argonne National Laboratory – Data Science and Learning Division
Paul M. Voyles*
Affiliation:
Department of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, United States
*
*Corresponding author: [email protected]

Abstract

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Type
Artificial Intelligence, Instrument Automation, And High-dimensional Data Analytics for Microscopy and Microanalysis
Information
Microscopy and Microanalysis , Volume 28 , Supplement S1 , August 2022 , pp. 3094 - 3096
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Copyright
Copyright © Microscopy Society of America 2022

References

hyperspy, DOI: 10.5281/zenodo.5608741CrossRefGoogle Scholar
pxyem, DOI: 10.5281/zenodo.2649351Google Scholar
Foundry: Data, Models, Science, https://ai-materials-and-chemistry.gitbook.io/foundry/Google Scholar
Wilkinson, MD et al. , Scientific Data 3, 160018 (2016). DOI: 10.1038/sdata.2016.18CrossRefGoogle ScholarPubMed
Development of pyxem at UW-Madison is supported by the Wisconsin MRSEC (DMR-1720415). Development of Foundry is support by the National Science Foundation (OAC-1931298).Google Scholar