Published June 4, 2023
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Discrimination of Quartz Genesis Based on Explainable Machine Learning
Description
The investigation of trace elements in quartz samples was conducted via ambient laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS). The sampled deposits encompassed diverse geological formations, namely porphyry, pegmatite, granite, skarn, epithermal, carlin, greisen, and orogenic deposits. The objective of the study was to employ eight specific trace elements (Al, Ti, Li, Ge, Fe, Na, K, and P) for the characterization of the training samples.
Notes
If you find this repository useful in your research, please consider citing the following paper:
@article{zhu2023discrimination,
title={Discrimination of Quartz Genesis Based on Explainable Machine Learning},
author={Zhu, Guo-Dong and Niu, Yun-Yun and Liao, Shu-Bing and Ruan, Long and Zhang, Xiao-Hao},
journal={Minerals},
volume={13},
number={8},
pages={997},
year={2023},
publisher={MDPI}
}
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