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Zheng, Yu-yu, Xu, Bo, Lentz, David R., Yu, Xiao-yan, Hou, Zeng-qian, Wang, Tao (2024) Machine learning applied to apatite compositions for determining mineralization potential. American Mineralogist, 109 (8) 1394-1405 doi:10.2138/am-2023-9115

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Reference TypeJournal (article/letter/editorial)
TitleMachine learning applied to apatite compositions for determining mineralization potential
JournalAmerican Mineralogist
AuthorsZheng, Yu-yuAuthor
Xu, BoAuthor
Lentz, David R.Author
Yu, Xiao-yanAuthor
Hou, Zeng-qianAuthor
Wang, TaoAuthor
Year2024 (August 1)Volume109
Page(s)1394-1405Issue8
PublisherMineralogical Society of America
DOIdoi:10.2138/am-2023-9115Search in ResearchGate
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Mindat Ref. ID17532634Long-form Identifiermindat:1:5:17532634:3
GUID0
Full ReferenceZheng, Yu-yu, Xu, Bo, Lentz, David R., Yu, Xiao-yan, Hou, Zeng-qian, Wang, Tao (2024) Machine learning applied to apatite compositions for determining mineralization potential. American Mineralogist, 109 (8) 1394-1405 doi:10.2138/am-2023-9115
Plain TextZheng, Yu-yu, Xu, Bo, Lentz, David R., Yu, Xiao-yan, Hou, Zeng-qian, Wang, Tao (2024) Machine learning applied to apatite compositions for determining mineralization potential. American Mineralogist, 109 (8) 1394-1405 doi:10.2138/am-2023-9115
In(2024, August) American Mineralogist Vol. 109 (8) Mineralogical Society of America

Mineral Pages

MineralCitation Details
Apatite

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