| Reference Type | Journal (article/letter/editorial) |
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| Title | A machine learning-based V-in-olivine oxybarometer for characterizing oxygen fugacity in lunar and terrestrial basalts |
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| Journal | Earth and Planetary Science Letters |
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| Authors | Wang, Guang-Shao | Author |
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| Bai, Zhong-Jie | Author |
| Hu, Wen-Jun | Author |
| Gao, Jian-Feng | Author |
| Zhu, Wei-Guang | Author |
| Bai, Ying-Xiong | Author |
| Year | 2025 (December) | Volume | 671 |
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| Publisher | Elsevier BV |
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| DOI | doi:10.1016/j.epsl.2025.119692Search in ResearchGate |
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| Generate Citation Formats |
| Mindat Ref. ID | 19109369 | Long-form Identifier | mindat:1:5:19109369:4 |
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| GUID | 0 |
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| Full Reference | Wang, Guang-Shao; Bai, Zhong-Jie; Hu, Wen-Jun; Gao, Jian-Feng; Zhu, Wei-Guang; Bai, Ying-Xiong (2025) A machine learning-based V-in-olivine oxybarometer for characterizing oxygen fugacity in lunar and terrestrial basalts. Earth and Planetary Science Letters, 671. doi:10.1016/j.epsl.2025.119692 |
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| Plain Text | Wang, Guang-Shao; Bai, Zhong-Jie; Hu, Wen-Jun; Gao, Jian-Feng; Zhu, Wei-Guang; Bai, Ying-Xiong (2025) A machine learning-based V-in-olivine oxybarometer for characterizing oxygen fugacity in lunar and terrestrial basalts. Earth and Planetary Science Letters, 671. doi:10.1016/j.epsl.2025.119692 |
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| In | (2025) Earth and Planetary Science Letters Vol. 671. Elsevier BV |
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