Hostname: page-component-586b7cd67f-t8hqh Total loading time: 0 Render date: 2024-11-24T19:58:34.482Z Has data issue: false hasContentIssue false
  • English
  • Français

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

An abstract is not available for this content so a preview has been provided. As you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
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