A data screening approach to confirming a target mineral is chlorite using EPMA and LA‐ICPMS data
Abstract Applying machine learning techniques to large datasets of in situ analyses has been proven to be a powerful tool in Earth Sciences. However, problems may arise when dealing with minerals such as chlorite, that exist as a solid solution rather than a single, stoichiometric ideal. It can be d...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-10-01
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| Series: | Geoscience Data Journal |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/gdj3.190 |