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Employment (2)

Zhejiang University: Hangzhou, Zhejiang, CN

2019-09-10 to present | tenure-track faculty (Earth Sciences)
Employment
Source: Self-asserted source
J ZhangZhou

University of California San Diego Scripps Institution of Oceanography: La Jolla, CA, US

2016-10-01 to 2019-06-13 | Post-doctoral Researcher (IGPP)
Employment
Source: Self-asserted source
J ZhangZhou

Education and qualifications (1)

University of Minnesota: MN, MN, US

2011-08-01 to 2016-09-30 | Ph.D (Earth Sciences)
Education
Source: Self-asserted source
J ZhangZhou

Works (27)

Estimating Biomass in the Lithosphere: A Machine Learning Approach

2025-01-20 | Preprint
DOI: 10.5194/egusphere-egu24-13794
Contributors: Wenyu Zhao; Johnny Zhangzhou
Source: check_circle
Crossref

Geochemistry π: Automated Machine Learning Python Framework for Tabular Data

2025-01-20 | Preprint
DOI: 10.5194/egusphere-egu24-5002
Contributors: Jianming Zhao; Johnny ZhangZhou; Can He; Yang Lyu
Source: check_circle
Crossref

Machine Learning unravels the protracted role of India-Eurasia collision in the uplift of the Tibetan plateau

2025-01-20 | Preprint
DOI: 10.5194/egusphere-egu24-6941
Contributors: Zhikang Luan; Jia Liu; Johnny ZhangZhou; Qunke Xia; Eero Hanski
Source: check_circle
Crossref

Mapping Global Lithospheric Mantle Pressure-Temperature Conditions by Machine Learning-Based Thermobarometry

2025-01-20 | Preprint
DOI: 10.5194/egusphere-egu24-7019
Contributors: Chenyang Ye; Ben Qin; Jingao Liu; Shichun Huang; Shunguo Wang; Johnny Zhangzhou
Source: check_circle
Crossref

Predicting Sulfide Precipitation in Magma Oceans on Earth, Mars, and the Moon Using Machine Learning

2025-01-20 | Preprint
DOI: 10.5194/egusphere-egu24-2982
Contributors: Johnny ZhangZhou; Yuan Li; Proteek Chowdhury; Sayan Sen; Urmi Ghosh; Zheng Xu; Jingao Liu; Zaicong Wang; James Day
Source: check_circle
Crossref

Predicting Vp/Vs in North America with a Machine Learning Approach

2025-01-20 | Preprint
DOI: 10.5194/egusphere-egu24-9828
Contributors: Xingxing Gao; Yunfeng Chen; Zhou Zhang; Wenyu Zhao
Source: check_circle
Crossref

Sub-Arc Mantle Redox Evolution since the Archean

2025-01-20 | Preprint
DOI: 10.5194/egusphere-egu24-3301
Contributors: Chun-Tao Liu; Chen-Yang Ye; Zhou Zhang
Source: check_circle
Crossref

Data‐Driven Investigation Reveals Subaerial Proportion of Basalts Since the Early Archean

Geophysical Research Letters
2024-06-28 | Journal article
DOI: 10.1029/2023GL107066
Contributors: Chun‐Tao Liu; Xiao‐Ming Liu; J. ZhangZhou
Source: check_circle
Crossref

Secular Changes in the Occurrence of Subduction During the Archean

Geophysical Research Letters
2024-05-16 | Journal article
DOI: 10.1029/2023GL107996
Contributors: Chun‐Tao Liu; Chen‐Yang Ye; J. ZhangZhou
Source: check_circle
Crossref

Mapping Global Lithospheric Mantle Pressure‐Temperature Conditions by Machine‐Learning Thermobarometry

Geophysical Research Letters
2024-04-16 | Journal article
DOI: 10.1029/2023GL106522
Contributors: Ben Qin; Chenyang Ye; Jingao Liu; Shichun Huang; Shunguo Wang; J. ZhangZhou
Source: check_circle
Crossref

Predicting sulfide precipitation in magma oceans on Earth, Mars and the Moon using machine learning

Geochimica et Cosmochimica Acta
2024-02 | Journal article
DOI: 10.1016/j.gca.2023.11.029
Contributors: J. ZhangZhou; Yuan Li; Proteek Chowdhury; Sayan Sen; Urmi Ghosh; Zheng Xu; Jingao Liu; Zaicong Wang; James M.D. Day
Source: check_circle
Crossref

Identifying serpentine minerals by their chemical compositions with machine learning

American Mineralogist
2024-02-01 | Journal article
DOI: 10.2138/am-2022-8688
Contributors: Shichao Ji; Fang Huang; Shaoze Wang; Priyantan Gupta; William Seyfried, Jr.; Hejia Zhang; Xu Chu; Wentao Cao; J ZhangZhou
Source: check_circle
Crossref

Geochemistry π: Automated Machine Learning Python Framework for Tabular Data

Geochemistry, Geophysics, Geosystems
2024-01 | Journal article
DOI: 10.1029/2023GC011324
Contributors: J. ZhangZhou; Can He; Jianhao Sun; Jianming Zhao; Yang Lyu; Shengxin Wang; Wenyu Zhao; Anzhou Li; Xiaohui Ji; Anant Agarwal
Source: check_circle
Crossref

The emergence of Continental Crust Revealed by Machine Learning

2023-05-15 | Preprint
DOI: 10.5194/egusphere-egu23-4648
Contributors: Chuntao Liu; C. Brenhin Keller; Xiaoming Liu; Zhou Zhang
Source: check_circle
Crossref

Estimating ferric iron content in clinopyroxene using machine learning models

American Mineralogist
2022-10-03 | Journal article
DOI: 10.2138/am-2022-8189
Contributors: Wei-hua Huang; Yang Lyu; Ming-hao Du; Can He; Shang-de Gao; Ren-jun Xu; Qun-ke Xia; J ZhangZhou
Source: check_circle
Crossref

Refined estimation of Li in mica by a machine learning method

American Mineralogist
2022-06-01 | Journal article
DOI: 10.2138/am-2022-8029
Contributors: Lu Wang; Cheng Su; Luo-Qi Wang; J. Zhang Zhou; Qun-Ke Xia; Qin-Yan Wang
Source: check_circle
Crossref

Machine Learning Investigation of Clinopyroxene Compositions to Evaluate and Predict Mantle Metasomatism Worldwide

Journal of Geophysical Research: Solid Earth
2022-05 | Journal article
DOI: 10.1029/2021JB023614
Contributors: Ben Qin; Fang Huang; Shichun Huang; Andre Python; Yunfeng Chen; J ZhangZhou
Source: check_circle
Crossref

Carbon storage in Fe-Ni-S liquids in the deep upper mantle and its relation to diamond and Fe-Ni alloy precipitation

Earth and Planetary Science Letters
2019-08 | Journal article
DOI: 10.1016/j.epsl.2019.05.039
Part of ISSN: 0012-821X
Source: Self-asserted source
J ZhangZhou
grade
Preferred source (of 2)‎

Electrical Investigation of Natural Lawsonite and Application to Subduction Contexts

Journal of Geophysical Research: Solid Earth
2019-02 | Journal article
DOI: 10.1029/2018JB016899
Contributors: Anne Pommier; Quentin Williams; Rob L. Evans; Ishita Pal; Zhou Zhang
Source: check_circle
Crossref

An experimental study of Fe–Ni exchange between sulfide melt and olivine at upper mantle conditions: implications for mantle sulfide compositions and phase equilibria

Contributions to Mineralogy and Petrology
2018-03 | Journal article
DOI: 10.1007/s00410-018-1444-7
Part of ISSN: 0010-7999
Part of ISSN: 1432-0967
Source: Self-asserted source
J ZhangZhou
grade
Preferred source (of 2)‎

Experimental determination of carbon solubility in Fe-Ni-S melts

Geochimica et Cosmochimica Acta
2018-03 | Journal article
DOI: 10.1016/j.gca.2018.01.009
Part of ISSN: 0016-7037
Source: Self-asserted source
J ZhangZhou

Electrical Investigation of Metal-Olivine Systems and Application to the Deep Interior of Mercury

Journal of Geophysical Research: Planets
2017-12 | Journal article
DOI: 10.1002/2017je005390
Part of ISSN: 2169-9097
Source: Self-asserted source
J ZhangZhou
grade
Preferred source (of 2)‎

Primordial metallic melt in the deep mantle

Geophysical Research Letters
2016-04-28 | Journal article
DOI: 10.1002/2016gl068560
Part of ISSN: 0094-8276
Source: Self-asserted source
J ZhangZhou

Experimental constraints on mantle sulfide melting up to 8 GPa

American Mineralogist
2016-01 | Journal article
DOI: 10.2138/am-2016-5308
Part of ISSN: 0003-004X
Source: Self-asserted source
J ZhangZhou

Carbon-saturated monosulfide melting in the shallow mantle: solubility and effect on solidus

Contributions to Mineralogy and Petrology
2015-12 | Journal article
DOI: 10.1007/s00410-015-1202-z
Part of ISSN: 0010-7999
Part of ISSN: 1432-0967
Source: Self-asserted source
J ZhangZhou

Mantle upwelling during Permian to Triassic in the northern margin of the North China Craton: Constraints from southern Inner Mongolia

Journal of Asian Earth Sciences
2014-01 | Journal article
DOI: 10.1016/j.jseaes.2013.09.015
Part of ISSN: 1367-9120
Source: Self-asserted source
J ZhangZhou

Guangtoushan granites and their enclaves: Implications for Triassic mantle upwelling in the northern margin of the North China Craton

Lithos
2012-09 | Journal article
DOI: 10.1016/j.lithos.2011.11.018
Part of ISSN: 0024-4937
Source: Self-asserted source
J ZhangZhou

Peer review (7 reviews for 6 publications/grants)

Review activity for Geochemistry, geophysics, geosystems. (1)
Review activity for Journal of Asian earth sciences. (1)
Review activity for Journal of geophysical research. (1)
Review activity for Nature communications (2)
Review activity for Nature geoscience. (1)
Review activity for Scientific data. (1)
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