Hostname: page-component-586b7cd67f-tf8b9 Total loading time: 0 Render date: 2024-11-24T14:53:08.477Z Has data issue: false hasContentIssue false

Deep Convolutional Neural Networks for Symmetry Detection

Published online by Cambridge University Press:  01 August 2018

Rama K. Vasudevan
Affiliation:
Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, USA Institute for Functional Imaging of Materials, Oak Ridge National Laboratory, Oak Ridge, TN, USA
Ondrej Dyck
Affiliation:
Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, USA Institute for Functional Imaging of Materials, Oak Ridge National Laboratory, Oak Ridge, TN, USA
Maxim Ziatdinov
Affiliation:
Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, USA Institute for Functional Imaging of Materials, Oak Ridge National Laboratory, Oak Ridge, TN, USA
Stephen Jesse
Affiliation:
Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, USA Institute for Functional Imaging of Materials, Oak Ridge National Laboratory, Oak Ridge, TN, USA
Nouamane Laanait
Affiliation:
Computational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
Sergei V. Kalinin
Affiliation:
Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, USA Institute for Functional Imaging of Materials, Oak Ridge National Laboratory, Oak Ridge, TN, USA

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Abstract
Copyright
© Microscopy Society of America 2018 

References

[1] Vasudevan, R., et al, Nano letters 16 2016) p. 5574.Google Scholar
[2] LeCun, Y., et al, Nature 521 2015) p. 436.Google Scholar
[3] Gal, Y Ghahramani, Z. International conference on machine learning 2016) p. 1050.Google Scholar
[4] The work was supported by the U.S. Department of Energy, Office of Science, Materials Sciences and Engineering Division (R.K.V., S.V.K.). This research was conducted and partially supported (S.J.) at the Center for Nanophase Materials Sciences, which is a US DOE Office of Science User Facility. N.L. acknowledges support from the Eugene P. Wigner Fellowship program at Oak Ridge National Lab..Google Scholar