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Constructing a Predictive Model of Copper Oxidation from Experiment and Theory

Published online by Cambridge University Press:  04 August 2017

Christopher M. Andolina ,
Matthew T. Curnan ,
Qing Zhu ,
Wissam A. Saidi  and
Judith C. Yang
Christopher M. Andolina
Affiliation:
Department of Chemical and Petroleum Engineering, University of Pittsburgh, Pittsburgh, PA (USA)
Matthew T. Curnan
Affiliation:
Department of Chemical and Petroleum Engineering, University of Pittsburgh, Pittsburgh, PA (USA)
Qing Zhu
Affiliation:
Department of Chemical and Petroleum Engineering, University of Pittsburgh, Pittsburgh, PA (USA)
Wissam A. Saidi
Affiliation:
Department of Mechanical Engineering & Materials Science, University of Pittsburgh, Pittsburgh, PA (USA)
Judith C. Yang
Affiliation:
Department of Chemical and Petroleum Engineering, University of Pittsburgh, Pittsburgh, PA (USA) Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA (USA)

Abstract

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Abstract
Information
Microscopy and Microanalysis , Volume 23 , Supplement S1: Proceedings of Microscopy & Microanalysis 2017 , July 2017 , pp. 920 - 921
Copyright
© Microscopy Society of America 2017 

References

[1] Zhu, Q, et al., Surface Science 652 2016). p. 98.Google Scholar
[2] Henkelman, G., et al., Journal of Chemical Physics 113 2000). p. 9901.CrossRefGoogle Scholar
[3] Zhu, Q., et al., Journal of Physical Chemistry Letters 7 2016). p. 2530.Google Scholar
[4] Zhou, G., et al., Physical Review Letters 109 2012). p. 235502.CrossRefGoogle Scholar
[5] Zhu, Q., et al., Journal of Physical Chemistry C 119 2015). p. 251.Google Scholar
[6] The authors acknowledge National Science Foundation funding, Division of Materials Research, Grants #1508417 and 1410055. The Petersen Institute for NanoScience and Engineering Nanoscale Fabrication and Characterization Facility: Mr. Matt France and Dr. Susheng Tan..Google Scholar