Hostname: page-component-586b7cd67f-t7czq Total loading time: 0 Render date: 2024-11-24T11:52:11.862Z Has data issue: false hasContentIssue false

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

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
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