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Deep Convolutional Neural Networks for Symmetry Detection

  • Rama K. Vasudevan (a1) (a2), Ondrej Dyck (a1) (a2), Maxim Ziatdinov (a1) (a2), Stephen Jesse (a1) (a2), Nouamane Laanait (a3) and Sergei V. Kalinin (a1) (a2)...
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[1] Vasudevan, R., et al, Nano letters 16 2016) p. 5574.
[2] LeCun, Y., et al, Nature 521 2015) p. 436.
[3] Gal, Y Ghahramani, Z. International conference on machine learning 2016) p. 1050.
[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..

Deep Convolutional Neural Networks for Symmetry Detection

  • Rama K. Vasudevan (a1) (a2), Ondrej Dyck (a1) (a2), Maxim Ziatdinov (a1) (a2), Stephen Jesse (a1) (a2), Nouamane Laanait (a3) and Sergei V. Kalinin (a1) (a2)...

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