Research Article
Decoding crystallography from high-resolution electron imaging and diffraction datasets with deep learning
- View ORCID ProfileJ. A. Aguiar1,*,
- View ORCID ProfileM. L. Gong1,2,
- View ORCID ProfileR. R. Unocic3,
- View ORCID ProfileT. Tasdizen2 and
- View ORCID ProfileB. D. Miller1
- 1Idaho National Laboratory, Nuclear Science and Technology Division, Idaho Falls, ID, USA.
- 2Department of Electrical and Computer Engineering, Scientific Computing Imaging Institute, University of Utah, Salt Lake City, UT, USA.
- 3Oak Ridge National Laboratory, Center for Nanophase Materials Science, Oak Ridge, TN, USA.
- ↵*Corresponding author. Email: jeffery.aguiar{at}inl.gov
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Science Advances 30 Oct 2019:
Vol. 5, no. 10, eaaw1949
DOI: 10.1126/sciadv.aaw1949
Vol. 5, no. 10, eaaw1949
DOI: 10.1126/sciadv.aaw1949
J. A. Aguiar
1Idaho National Laboratory, Nuclear Science and Technology Division, Idaho Falls, ID, USA.
M. L. Gong
1Idaho National Laboratory, Nuclear Science and Technology Division, Idaho Falls, ID, USA.
2Department of Electrical and Computer Engineering, Scientific Computing Imaging Institute, University of Utah, Salt Lake City, UT, USA.
R. R. Unocic
3Oak Ridge National Laboratory, Center for Nanophase Materials Science, Oak Ridge, TN, USA.
T. Tasdizen
2Department of Electrical and Computer Engineering, Scientific Computing Imaging Institute, University of Utah, Salt Lake City, UT, USA.
B. D. Miller
1Idaho National Laboratory, Nuclear Science and Technology Division, Idaho Falls, ID, USA.
