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Identifying serpentine minerals by their chemical compositions with machine learning 期刊论文
AMERICAN MINERALOGIST, 2024, 卷号: 109, 期号: 2, 页码: 315-324
Authors:  Ji, Shichao;  Huang, Fang;  Wang, Shaoze;  Gupta, Priyantan;  Seyfried, William;  Zhang, Hejia;  Chu, Xu;  Cao, Wentao;  Zhangzhou, J.
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Serpentine  machine learning  XGBoost, classifications  k-means  clustering  
Predicting sulfide precipitation in magma oceans on Earth, Mars and the Moon using machine learning 期刊论文
GEOCHIMICA ET COSMOCHIMICA ACTA, 2024, 卷号: 366, 页码: 237-249
Authors:  Zhangzhou, J.;  Li, Yuan;  Chowdhury, Proteek;  Sen, Sayan;  Ghosh, Urmi;  Xu, Zheng;  Liu, Jingao;  Wang, Zaicong;  Day, James M. D.
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SCSS  Machine learning  Sulfide  Magma ocean  
Carbon in the deep upper mantle and transition zone under reduced conditions: Insights from high-pressure experiments and machine learning models 期刊论文
GEOCHIMICA ET COSMOCHIMICA ACTA, 2022, 卷号: 332, 页码: 88-102
Authors:  Lei, Jiali;  Sen, Sayan;  Li, Yuan;  ZhangZhou, J.
Favorite  |  View/Download：227/0  |  Submit date：2022/11/11