Researchers identified a gateway that allows metals critical for renewable energy technologies, like copper and gold, to make their way to the surface.
A new study evaluated the performance of emerging deep learning models for earthquake detection, phase identification, and phase picking.
Researchers use a closed-loop modeling strategy to validate regional uplift patterns recorded in river profiles across the African continent.
A novel numerical model simulates folding in Earth’s crust throughout the earthquake cycle.
Smoke from wildfires burning in the western United States carries harmful pollutants across the country.
By analyzing lava samples, researchers show how chemical processes that occur during magma’s ascent to the surface may contribute to a volcano’s eruptible state.
Researchers look to carbon isotopes and cell-level wood anatomy to understand how seismic-induced changes in water availability affect tree growth.
Researchers use a packer system to study the microbial communities living in waters sampled from deep, uncontaminated peridotite aquifers.