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Parallelizing py4DSTEM: 4D-STEM Analysis from Hours to Minutes

Published online by Cambridge University Press:  22 July 2022

Alexander Rakowski*
Affiliation:
NCEM, Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Benjamin H Savitzky
Affiliation:
NCEM, Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Steven E Zeltmann
Affiliation:
Department of Materials Science and Engineering, University of California, Berkeley, CA, USA
Matthew Henderson
Affiliation:
NCEM, Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Colin Ophus
Affiliation:
NCEM, Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
*
*Corresponding author: arakowski@lbl.gov

Abstract

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Type
Developments of 4D-STEM Imaging - Enabling New Materials Applications
Copyright
Copyright © Microscopy Society of America 2022

References

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Spurgeon, SR et al. , Nature materials 20(3) (2021), p. 274.CrossRefGoogle Scholar
Savitzky, BH et al. , Microscopy and Microanalysis 25(S2) (2019), p. 124.Google Scholar
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Work at the Molecular Foundry was supported by the Office of Science, Office of Basic Energy Sciences, of the U.S. Department of Energy under Contract No. DEAC02-05CH11231. Use of the Center for Nanoscale Materials, an Office of Science user facility, was supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, under Contract No. DE-AC02-06CH11357. This research used resources of the National Energy Research Scientific Computing Center; a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. Work at the Molecular Foundry was supported by the Office of Science, Office of Basic Energy Sciences, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. The development of py4DSTEM was supported by the Toyota Research InstituteGoogle Scholar