Chemical Geodynamics Insights From a Machine Learning Approach
Author:
Affiliation:
1. Institut für Mineralogie Westfälische Wilhelms‐Universität Münster Münster Germany
2. GS1 Netherlands Amstelveen The Netherlands
3. USGS, Alaska Science Center Anchorage AK USA
Funder
Deutsche Forschungsgemeinschaft
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Publisher
American Geophysical Union (AGU)
Subject
Geochemistry and Petrology,Geophysics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022GC010606
Reference367 articles.
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5. Lithospheric instability and the source of the Cameroon Volcanic Line: Evidence from Rayleigh wave phase velocity tomography
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