PNNL researchers received an award from the Materials, Metals & Materials Society (TMS) for a publication on friction riveting.

Scientists have developed a way to detect tiny amounts of hard-to-detect explosives more than eight feet away.

PNNL contributes to a nationwide research consortium investigating the molecular mechanisms triggered by endurance training.

By adding rain, snow, and rain-on-snow precipitation data to a background model, a new scheme pinpoints local flood risks in order to improve the design of small-scale hydrological infrastructure.

PNNL scientists investigate the promising properties of a common, Earth-abundant salt.

Radha Kishan Motkuri lends skill and knowledge to co-lead special edition journal.

PNNL contributes to 30 years of data on clouds, radiation, and other climate-making factors as part of field campaigns and analysis conducted by DOE's Atmospheric Radiation Measurement user facility.

Infusing data science and artificial intelligence into electron microscopy could advance energy storage, quantum information science, and materials design.

PNNL has three small-scale spectroscopy devices that are speeding up the testing and analysis of candidate novel materials used in energy storage research and environmental remediation.

Pacific Northwest National Laboratory (PNNL) is part of a continuing National Science Foundation (NSF) team investigating the environmental impact of nanoparticles at the molecular level.

Oliver Gutiérrez leads an electrocatalytic hydrogenation research team at PNNL that focuses on next-generation catalysts at the molecular level and in an aqueous state.

To help close the gap between observed and modeled ice-nucleating particles (INPs), researchers simulated concentrations of dust, sea spray, and other types of atmospheric particles within a global atmospheric model.

At PNNL, subsurface science inhabits two separate but interlocking worlds. One looks at basic science, the other at applied science and engineering. Both are funded by the U.S. Department of Energy (DOE).

From microscopic bacteria in river sediments to vast watersheds to global-scale data and inquiries, a PNNL scientist plays a big research role

Jason McDermott is a PNNL computational biologist whose research interests include machine learning, data integration, and network inference. He unravels complex data related to cancer, infectious disease, and soil microbiomes.

PNNL adds its expertise to an international expedition investigating the vulnerable central Arctic Ocean.

We are all citizens of watersheds, the terrestrial landscapes that determine how much water we have, how clean it is, where it goes, and how fast.

He is being recognized for his contributions involving various kinds of separations with mass spectrometry (MS).

His patents involve novel MS and IMS technologies that, in the end, have enabled a deeper understanding of living systems.

A study co-led by PNNL and reviewed in Science investigates how nanomaterials—both ancient and modern—cycle through the Earth’s air, water, and land, and calls for a better understanding of how they affect the environment and human health.