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Detecting Vacancy-Induced Strain Field Oscillations via Deep Learning

Published online by Cambridge University Press:  30 July 2020

Chia-Hao Lee
Affiliation:
University of Illinois at Urbana-Champaign, Urbana, Illinois, United States
Abid Khan
Affiliation:
University of Illinois at Urbana-Champaign, Urbana, Illinois, United States
Di Luo
Affiliation:
University of Illinois at Urbana-Champaign, Urbana, Illinois, United States
Tatiane Santos
Affiliation:
University of Illinois at Urbana-Champaign, Urbana, Illinois, United States
Chuqiao Shi
Affiliation:
University of Illinois at Urbana-Champaign, Urbana, Illinois, United States
Blanka Janicek
Affiliation:
University of Illinois at Urbana-Champaign, Urbana, Illinois, United States
Sangmin Kang
Affiliation:
University of Illinois at Urbana-Champaign, Urbana, Illinois, United States
Wenjuan Zhu
Affiliation:
University of Illinois at Urbana-Champaign, Urbana, Illinois, United States
Nahil Sobh
Affiliation:
University of Illinois at Urbana-Champaign, Urbana, Illinois, United States
Andre Schleife
Affiliation:
University of Illinois at Urbana-Champaign, Urbana, Illinois, United States
Bryan Clark
Affiliation:
University of Illinois at Urbana-Champaign, Urbana, Illinois, United States
Pinshane Huang
Affiliation:
University of Illinois at Urbana-Champaign, Urbana, Illinois, United States

Abstract

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Type
Advances in Modeling, Simulation, and Artificial Intelligence in Microscopy and Microanalysis for Physical and Biological Systems
Copyright
Copyright © Microscopy Society of America 2020

References

Lee, C.-H., et al. , arXiv:2001.08233 (2020)Google Scholar
Kanzaki, H., Journal of Physics and Chemistry of Solids 2 (1957), p. 243610.1016/0022-3697(57)90003-3CrossRefGoogle Scholar
Hall, G. L., Journal of Physics and Chemistry of Solids 3 (1957), p. 21022210.1016/0022-3697(57)90025-2CrossRefGoogle Scholar
Kolesnikova, A. L., et al. , Physics of the solid state 56 (2014), p. 2573257910.1134/S1063783414120166CrossRefGoogle Scholar
This work was supported by the AFOSR under award number FA9550-7-1-0213, DOE award number DE-SC0020190, ONR grant numbers NAVY N00014-17-1-2973 and N00014-18-1-2605. This research is part of the Blue Waters sustained-petascale computing project, which is supported by NSF awards OCI-0725070 and ACI-1238993 and the state of Illinois. This work was carried out in part in the Materials Research Laboratory at UIUC.Google Scholar