Insight into zircon REE oxy-barometers: A lattice strain model perspective

X Zou, K Qin, X Han, G Li, NJ Evans, Z Li… - Earth and Planetary …, 2019 - Elsevier
Zircon rare earth element (REE) oxy-barometers have been widely used to calculate magma
oxygen fugacity. However, sometimes confusing results are obtained, such as extremely …

Regional structural control on the distribution of world‐class gold deposits: An overview from the Giant Jiaodong Gold Province, China

J Deng, LQ Yang, RH Li, DI Groves… - Geological …, 2019 - Wiley Online Library
The Jiaodong gold province in northeastern China is the country's premier gold resource
and globally one of the most important gold provinces. The late Early Cretaceous gold …

[HTML][HTML] Estimating of heavy metal concentration in agricultural soils from hyperspectral satellite sensor imagery: Considering the sources and migration pathways of …

L Yao, M Xu, Y Liu, R Niu, X Wu, Y Song - Ecological Indicators, 2024 - Elsevier
The evolution of hyperspectral remote sensing and artificial intelligence technologies has
led to a surge in their application for predicting Soil Heavy Metal Concentrations (SHMC) …

Late Mesozoic granitoids in the Qinling Orogen, Central China, and tectonic significance

N Li, YJ Chen, M Santosh, F Pirajno - Earth-Science Reviews, 2018 - Elsevier
Abstract The Qinling Orogen in central China is a complex collage built through the closure
of the northernmost Paleo-Tethys and the suturing of the Yangtze and the North China …

Origin and evolution of a porphyry-breccia system: Evidence from zircon U-Pb, molybdenite Re-Os geochronology, in situ sulfur isotope and trace elements of the …

L Tang, Y Zhao, ST Zhang, L Sun, XK Hu, YM Sheng… - Gondwana …, 2021 - Elsevier
Abstract The Qiyugou Au deposit, located in the **
Z Shi, R Zuo, B Zhou - Mathematical Geosciences, 2023 - Springer
Abstract Machine learning algorithms, including supervised and unsupervised learning
ones, have been widely used in mineral prospectivity map**. Supervised learning …

[HTML][HTML] Metallogenic prediction based on geological-model driven and data-driven multisource information fusion: A case study of gold deposits in **ong'ershan area …

M Fan, K **ao, L Sun, Y Xu - Ore Geology Reviews, 2023 - Elsevier
The traditional metallogenic prediction based on the geological model has been extensively
used in prospecting, and the emerging machine learning method has also been successfully …

Discovery of the large-scale Eocene **wu Pb–Zn–Ag deposit in the Tethyan Himalaya: Geochronology, geochemistry, and C–H–O–S–Pb–Sr–Nd isotopes

HW Cao, QM Pei, X Yu, M Santosh, GM Li, LK Zhang… - Gondwana …, 2023 - Elsevier
Abstract The known Pb–Zn–Sb–Au polymetallic deposits in the Himalaya mainly formed
during the main-collisional convergence (65–41 Ma) and post-collisional crustal extension …

The composition of magmatic-hydrothermal fluids and their related metal mineralization

Q Shu, J Deng - Science China Earth Sciences, 2024 - Springer
Magmatic hydrothermal deposits are important sources of many bulk, precious, and rare
metals, and have attracted interest from both academic and industrial communities …