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Unmixing Mineral Phases, Improving Quantification: Use Machine Learning to Understand Deep-Mantle with STEM-EDS Data

Published online by Cambridge University Press:  22 July 2022

Hui Chen ,
James Badro ,
Duncan T.L. Alexander  and
Cécile Hébert
Hui Chen*
Affiliation:
Electron Spectrometry and Microscopy Laboratory (LSME), IPHYS, EPFL, Lausanne, Switzerland
James Badro
Affiliation:
Earth and Planetary Science Laboratory (EPSL), IPHYS, EPFL, Lausanne, Switzerland Institute de Physique du Globe de Paris, Sorbonne Paris Cité, Paris, France
Duncan T.L. Alexander
Affiliation:
Electron Spectrometry and Microscopy Laboratory (LSME), IPHYS, EPFL, Lausanne, Switzerland
Cécile Hébert
Affiliation:
Electron Spectrometry and Microscopy Laboratory (LSME), IPHYS, EPFL, Lausanne, Switzerland
*
*Corresponding author: hui.chen@epfl.ch

Abstract

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Type
Quantitative and Qualitative Mapping of Materials
Information
Microscopy and Microanalysis , Volume 28 , Supplement S1 , August 2022 , pp. 542 - 544
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Copyright
Copyright © Microscopy Society of America 2022

References

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