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Doing More with Less: Artificial Intelligence Guided Analytics for Electron Microscopy Applications

Published online by Cambridge University Press:  22 July 2022

Sarah Akers ,
Marjolein Oostrom ,
Christina Doty ,
Matthew Olstza ,
Derek Hopkins ,
Kevin Fiedler  and
Steven R. Spurgeon
Sarah Akers
Affiliation:
National Security Directorate, Pacific Northwest National Laboratory, Richland, WA, United States
Marjolein Oostrom
Affiliation:
National Security Directorate, Pacific Northwest National Laboratory, Richland, WA, United States
Christina Doty
Affiliation:
National Security Directorate, Pacific Northwest National Laboratory, Richland, WA, United States
Matthew Olstza
Affiliation:
Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, WA, United States
Derek Hopkins
Affiliation:
Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA, United States
Kevin Fiedler
Affiliation:
Mathematics and Statistics Department, Washington State University Tri-Cities, Richland, WA, United States
Steven R. Spurgeon*
Affiliation:
Energy and Environment Directorate, Pacific Northwest National Laboratory, Richland, WA, United States Department of Physics, University of Washington, Seattle, WA, 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. 2988 - 2989
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Copyright
Copyright © Microscopy Society of America 2022

References

Ede, JM, Mach. Learn.: Sci. Technol. 2 (2021), p. 011004.Google Scholar
Doty, C et al. , Computational Materials Science 203 (2022), p. 111121.CrossRefGoogle Scholar
Olszta, M et al. , Microscopy and Microanalysis 27(S1) (2021), p. 2986.CrossRefGoogle Scholar
Akers, S et al. , npj Computational Materials 7(1) (2021), p.1.CrossRefGoogle Scholar
This research was supported by the Energy Storage Materials Initiative/Investment (ESMI), under the Laboratory Directed Research and Development (LDRD) Program at Pacific Northwest National Laboratory (PNNL). Some code development was supported by the Chemical Dynamics Initiative/Investment (CDi), under the LDRD Program at PNNL. PNNL is a multi-program national laboratory operated for the U.S. Department of Energy (DOE) by Battelle Memorial Institute under Contract No. DE-AC05-76RL01830.Google Scholar