Reimagining the United States power grid could save consumers $50 billion a year.

COMPASS points to understanding nature’s transition zones—areas that can be dry land at times and under water at others.

PNNL researchers develop software that uses geographical data to build a free, open-source grid reference system to provide a precise system to locate structures.

Vanda Glezakou and Laboratory Fellow Roger Rousseau collaborated with other experts to write an American Chemical Society book chapter.

Research from the PNNL-led WHONDRS consortium reveals chemistry and spatial gradients of metabolomes from river water and sediments around the globe.

A hybrid computing approach for solving quantum chemical problems offers a practical bridge between classical and quantum computing.

PNNL scientists publish paper and host workshops to share threat-agnostic vision for biodefense.

In adjoining Energy Sciences Center laboratories, researchers develop better energy storage devices by understanding the fundamental reactions that form interfaces.

Changes in the downward flow of infrared energy in clear skies are a key factor influencing recent rapid wintertime Arctic warming.

Ensembles of 20–25 members, notably smaller than traditional large ensembles, can accurately represent changes in extremes of temperature and precipitation.

Researchers achieved the complete assignment of the infrared spectrum of a hydronium-water “magic number” cluster reported in Science in 2004.

Williams brings his deep understanding of the technology industry and PNNL’s quantum and national security expertise to this Technical Advisory Committee.

PNNL researchers worked to decouple the effects that solvents impose on reactions catalyzed in the liquid phase.

From water purification, to better batteries and tools to foil a cyberattack—a look back at how PNNL helped to invent a brighter and better future over the last year.

A team of researchers developed a simulation approach to identify how atomic structures can affect the phonon transport of energy and information in quantum systems near absolute zero temperatures.

Researchers developed a new model to understand the initiation of summer-time mesoscale convective systems over the central United States.

Using a novel settlement-related dataset produced more accurate population downscaling than using other, more traditional datasets.

PNNL wins three FLC awards in annual technology innovation competition.

Implementing and evaluating a new radiative transfer scheme that accounts for various topographic effects on solar radiation in an Earth system model.

A multi-institutional team has developed a deep learning framework to identify novel molecules as drug candidates.