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A Route to Integrating Dynamic 4D X-ray Computed Tomography and Machine Learning to Model Material Performance

Published online by Cambridge University Press:  04 August 2017

Nikolaus L. Cordes ,
Kevin Henderson  and
Brian M. Patterson
Nikolaus L. Cordes
Affiliation:
Engineered Materials, Materials Science & Technology Division, Los Alamos National Laboratory, Los Alamos, NM, USA
Kevin Henderson
Affiliation:
Engineered Materials, Materials Science & Technology Division, Los Alamos National Laboratory, Los Alamos, NM, USA
Brian M. Patterson
Affiliation:
Engineered Materials, Materials Science & Technology Division, Los Alamos National Laboratory, Los Alamos, NM, USA

Abstract

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Type
Abstract
Information
Microscopy and Microanalysis , Volume 23 , Supplement S1: Proceedings of Microscopy & Microanalysis 2017 , July 2017 , pp. 144 - 145
Copyright
© Microscopy Society of America 2017 

References

[1] Mueller, T., Kusne, A. G. & Ramprasad, R. in Reviews in Computational Chemistry Vol. 29, ed A. L. Parrill & K. B. LipkowitzWiley. p. 480.Google Scholar
[2] Patterson, , et al, Journal of Materials Science 51(1 2016). p. 171.CrossRefGoogle Scholar