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Insights into magma storage and requilibration from hornblende thermobarometry
Goldschmidt2022 abstracts, 2022Ke Gao, C. Brenhin Keller, Changqian Ma
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MagMaTaB: A machine learning-based model for magmatic liquid thermobarometry
Determining pressures and temperatures of magmas is crucial for addressing diverse challenges in petrology, geodynamics, and volcanology. However, inherent inaccuracies, especially in barometry, have limited the effectiveness of existing models in unravelling the architecture of crustal igneous systems.Gregor Weber, Jon Blundy
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BEYOND EQUILIBRIUM THERMOBAROMETRY: SHIFTING THE PARADIGM TOWARDS KINETICS
Geological Society of America Abstracts with Programs, 2018Frank S. Spear, Oliver M. Wolfe
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