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Deep Convolutional Neural Network Approach as a Universal Tool for Determination of Local 3D Structure from ABF STEM Images of Perovskitesy

Published online by Cambridge University Press:  01 August 2018


Nouamane Laanait
Affiliation:
Computational Sciences & Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN
Albina Y. Borisevich
Affiliation:
Materials Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge, TN

Abstract

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© Microscopy Society of America 2018 

References

[1] He, Qian, et al, ACS Nano 9 2015) p. 8412.CrossRefGoogle Scholar
[2] Laanait, N., He, Q. Borisevich, A. to be submitted 2018.Google Scholar
[3] This work used resources of the Oak Ridge Leadership Computing Facility at Oak Ridge National Laboratory, which is supported by the Office of Science of the Department of Energy under Contract DE-AC05-00OR22725. NL acknowledges support from ORNL's Laboratory Director's R&D fund. AYB acknowledges support from DMSE, DOE BES.Google Scholar

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Deep Convolutional Neural Network Approach as a Universal Tool for Determination of Local 3D Structure from ABF STEM Images of Perovskitesy
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