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1 Ergebnisse
1
Chemical Geodynamics Insights From a Machine Learning Appro..:
Stracke, A
;
Willig, M
;
Genske, F
...
doi:10.1029/2022GC010606. , 2022
Link:
https://doi.org/10.1029/2022GC010606
RT Journal T1
Chemical Geodynamics Insights From a Machine Learning Approach
UL https://suche.suub.uni-bremen.de/peid=base-ftsubggeo:oai:e-docs.geo-leo.de:11858_10334&Exemplar=1&LAN=DE A1 Stracke, A A1 Willig, M A1 Genske, F A1 Béguelin, P A1 Todd, E A1 Willig, M.; 1 Institut für Mineralogie Westfälische Wilhelms‐Universität Münster Münster Germany A1 Genske, F.; 1 Institut für Mineralogie Westfälische Wilhelms‐Universität Münster Münster Germany A1 Béguelin, P.; 1 Institut für Mineralogie Westfälische Wilhelms‐Universität Münster Münster Germany A1 Todd, E.; 3 USGS, Alaska Science Center Anchorage AK USA YR 2022 K1 ddc:551.9 K1 mantle heterogeneity K1 MORB K1 OIB K1 geodynamics K1 t‐SNE K1 radiogenic isotopes K1 machine learning JF doi:10.1029/2022GC010606 LK http://dx.doi.org/https://doi.org/10.1029/2022GC010606 DO https://doi.org/10.1029/2022GC010606 SF ELIB - SuUB Bremen
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