Machine Learning Reveals Magmatic Fertility of Skarn-Type Tungsten Deposits

Machine Learning Reveals Magmatic Fertility of Skarn-Type Tungsten Deposits

The chemical composition of apatite has been utilized as an indicator of magmatic fertility related to tungsten mineralization in skarn systems. In this study, we compiled 5776 apatite trace element data from 374 intrusions, along with records indicating magmatic fertility. Then we trained and valid...

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Bibliographic Details
Main Authors:	Rui-Chang Tan, Yong-Jun Shao, Yi-Qu Xiong, Zhi-Wei Fan, Hong-Fei Di, Zhao-Jun Wang, Kang-Qi Xu
Format:	Article
Language:	English
Published:	MDPI AG 2025-05-01
Series:	Applied Sciences
Subjects:	apatite trace elements machine learning magmatic fertility skarn-type tungsten deposits
Online Access:	https://www.mdpi.com/2076-3417/15/10/5237
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