A Machine Learning‐Based Approach to Clinopyroxene Thermobarometry: Model Optimization and Distribution for Use in Earth Sciences

Thermobarometry is a fundamental tool to quantitatively interrogate magma plumbing systems and broaden our appreciation of volcanic processes. Developments in random forest‐based machine learning lend themselves to a data‐driven approach to clinopyroxene thermobarometry, allowing users to access lar...

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Detalles Bibliográficos
Autores principales: Jorgenson, C., Higgins, O., Petrelli, M., Bégué, F., Caricchi, L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9285709/
https://www.ncbi.nlm.nih.gov/pubmed/35860374
http://dx.doi.org/10.1029/2021JB022904

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9285709/
https://www.ncbi.nlm.nih.gov/pubmed/35860374
http://dx.doi.org/10.1029/2021JB022904

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