The massive accumulation of available multi-modal mineral exploration data for most
metallogenic belts worldwide provides abundant information for the discovery of mineral …

Chemostratigraphy utilizes the elemental, isotopic, and mineralogical compositions of
sediments and rocks to understand the conditions of deposition and diagenesis, variations …

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 availability of global, uniformly formatted, and easily searchable databases is essential
for big data-based and machine-leaning oriented geoscience research. We present a new …

The tectonic affiliations and magma compositions that formed Earth's earliest crusts remain
hotly debated. Previous efforts toward this goal have relied heavily on determining the …

The enigmatic nature of the Precambrian era poses ongoing challenges for researchers
seeking to uncover its secrets. With the exponential growth of scientific data, there exists a …

The underground storage of CO2 (carbon dioxide) in basalt presents an exceptionally
promising solution for the effective and permanent sequestration of CO2. This is primarily …

As deep learning (DL) gains popularity for its ability to make accurate predictions in various
fields, its applications in geosciences are also on the rise. Many studies focus on achieving …

Subduction processes play a pivotal role in facilitating material exchange between the crust
and mantle, contributing to the growth of continents. However, the onset and evolution of …

Although machine learning (ML) has brought new insights into geochemistry research, its
implementation is laborious and time‐consuming. Here, we announce Geochemistry π, an …