The development of analytical and computational techniques and growing scientific funds
collectively contribute to the rapid accumulation of geoscience data. The massive amount of …

We introduce a new approach, based on machine learning, to estimate pre‐eruptive
temperatures and storage depths using clinopyroxene‐melt pairs and clinopyroxene‐only …

The major-element chemical composition of garnet provides valuable petrogenetic
information, particularly in metamorphic rocks. When facing detrital garnet, information about …

Technological progress and the rapid increase in geochemical data often create bottlenecks
in many studies, because current methods are designed using limited number of data and …

The composition of igneous biotite is a potential indicator of the geologic environment of its
host rock. Here, we apply two machine learning models− eXtreemly Greedy tree Boosting …

Quartz is one of the most abundant mineral in the continental crust, occurring in a wide
variety of igneous, metamorphic, and sedimentary rocks. It incorporates several trace …

Elucidating the tectonic setting of unknown rock samples has long attracted the interest of
not only igneous petrologists but also a wide range of geoscientists. Recently, attempts have …

The geochemistry of basaltic rocks is widely used to investigate the tectonic setting of
magmatism. The limitation of traditional two-dimensional tectonic discrimination diagrams is …

Compositional differences between continental and oceanic arc volcanic rocks have long
been recognized; however, our understanding of them is incomplete. This study presents a …

This study investigates the influence of the Changbaishan mantle plume, formed by
dehydration of stagnant slab, on Cenozoic intraplate magmatism in Northeast China …