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.

Two PNNL studies that describe the potential value of offshore wind off the Oregon Coast and distributed wind in Alaska were published in the journal Energies.

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’s Jie Xiao and Yuyan Shao are serving two-year terms on the executive committee of the Pacific Northwest section of The Electrochemical Society, which was chartered in October 2020.

Triton highlights research partners in environmental monitoring for marine energy.

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

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

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.

In a book chapter exploring blockchain applications, Sarah Frazar explores use of distributed ledger technology for international nuclear safeguards.

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.

Researchers have been investigating if machine learning techniques could be used to help create novel beers.

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