Incorporating spatially explicit land characteristics in a global model illustrates the complex effects of applying uniform regional protection assumptions in a global analysis.

Newly developed ultra-low radiation cables reduce background noise for neutrino and dark matter detectors.

PNNL is collaborating with Microsoft, Micron and other partners to make computational chemistry broadly available.

The first study modeling the mechanism of hydrated electron formation from aqueous iodide.

A suite of experiments provide insight into how diopside reacts with carbon dioxide to form stable carbonate species.

PNNL is honoring its postdoctoral researchers as part of the fourteenth annual National Postdoc Appreciation Week with seven profiles of postdocs from around the Laboratory.

PNNL’s Nick Ward has been honored with the American Geophysical Union’s Thomas Hilker Early Career Award.

Stinis will serve as a principal investigator on two of the four projects selected for funding by the Advanced Scientific Computing Research program.

A new discovery by PNNL researchers has illuminated a previously unknown key mechanism that could inform the development of new, more effective catalysts for abating NOx emissions from combustion-engines burning diesel or low carbon fuel.

The diversity and function of organic matter in rivers at a large scale are influenced by factors, such as the types of vegetation covering the land, the energy characteristics, and the breakdown potential of the molecules.

Scientists have opened a new view into the workings of the central nervous system, finding a diverse set of important molecules.

PNNL chemists investigate the performance of ion exchange resins for subsurface remediation of uranium, technetium, and chromium.

Scientists at PNNL were awarded nearly $12 million to better understand pathogens, how they spread, and how to prepare the nation against future outbreaks.

New research reveals enhanced CO2 transport across a polyether ether ketone membrane and water-lean solvent interface

Studying single crystal reactions provides molecular-level insight into catalytic processes.

Harnessing machine learning to enhance plant coexistence in a vegetation demographic model.

Simulations show an amorphous intermediate that allows impurities to incorporate into crystallizing calcium carbonate.

Neutrino mass, a crucial piece of many unresolved physics puzzles, may one day be revealed through a novel measurement system that has just proven its mettle: Cyclotron Radiation Emission Spectroscopy.

Scientists can now generate a protein database directly from proteomics data gathered from a specific soil sample using a digital tool and deep learning computer model called Kaiko.

Wendy Shaw is a new Fellow of the Royal Society of Chemistry, honored for her leadership role and impacts on the chemical sciences.