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Using Operando Characterization, Data Analytics, and Artificial Intelligence to Understand Mechanistic Links between Processing and Structure

Published online by Cambridge University Press:  01 August 2018

Eric A. Stach ,
Benji Maruyama  and
Chaomei Chen
Eric A. Stach
Affiliation:
Department of Materials Science and Engineering, University of Pennsylvania, Philadelphia, PA USA, 19104.
Benji Maruyama
Affiliation:
U.S. Air Force Research Laboratory, Dayton, OH, 45433
Chaomei Chen
Affiliation:
College of Computing and Informatics, Drexel University, Philadelphia, PA USA, 19104

Abstract

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Type
Abstract
Information
Microscopy and Microanalysis , Volume 24 , Supplement S1: Proceedings of Microscopy & Microanalysis 2018 , August 2018 , pp. 258 - 259
Copyright
© Microscopy Society of America 2018 

References

[1] Chaomei Chen, J. Data and Inform. Sci. 2 2017) pp. 1–40.Google Scholar
[2] http://cluster.cis.drexel. edu/~cchen/citespace/.Google Scholar
[3] Nikolaev, P., et al., npj Comp. Mater. 2 2016 16031.Google Scholar
[4] Li, Y., et al., Nature Comm. 6, 7583 2015.Google Scholar
[5] The Structure of Scientific Revolutions, T.S. Kuhn, Chicago: University of Chicago Press, 1962..Google Scholar
[6] Fuchs, S. Social Forces 71 1993) pp. 933–953.Google Scholar