Hostname: page-component-586b7cd67f-2plfb Total loading time: 0 Render date: 2024-11-28T22:08:34.801Z Has data issue: false hasContentIssue false

Machine Learning on STEM-EDS Data for Quantifying Overlapping Deep-Mantle Rock Assemblages

Published online by Cambridge University Press:  30 July 2020

Hui Chen
Affiliation:
École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Vaud, Switzerland
Farhang Nabiei
Affiliation:
University of Cambridge, Cambridge, England, United Kingdom
James Badro
Affiliation:
Institute de Physique du Globe de Paris, Paris, Ile-de-France, France
Duncan TL Alexander
Affiliation:
École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Vaud, Switzerland
Cécile Hébert
Affiliation:
École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Vaud, Switzerland

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Call of the Wild: Advances in Microanalysis and Microscopy of Geological and Extraterrestrial Materials
Copyright
Copyright © Microscopy Society of America 2020

References

Irifune, T et al. . Science, 327 (2010), p. 193195.10.1126/science.1181443CrossRefGoogle Scholar
Schmidt, J et al. ., npj Computational Materials 5 (2019), no. 83.Google Scholar
de la Pena, F et al. ., Microscopy and Microanalysis, 23 (2017), p. 214215.10.1017/S1431927617001751CrossRefGoogle Scholar