A Machine Learning-Based Thermobarometer for Magmatic Liquids
Abstract Experimentally calibrated models to recover pressures and temperatures of magmas are widely used in igneous petrology. However, large errors, especially in barometry, limit the capacity of these models to resolve the architecture of crustal igneous systems. Here, we apply machine learning t...
| Published in: | Journal of Petrology |
|---|---|
| Main Authors: | , |
| Format: | Article in Journal/Newspaper |
| Language: | English |
| Published: |
Oxford University Press (OUP)
2024
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| Subjects: | |
| Online Access: | http://dx.doi.org/10.1093/petrology/egae020 https://academic.oup.com/petrology/advance-article-pdf/doi/10.1093/petrology/egae020/56819783/egae020.pdf https://academic.oup.com/petrology/article-pdf/65/4/egae020/57141263/egae020.pdf |