A new radiation-resistant material for the efficient capture of noble gases xenon and krypton makes it safer and cheaper to recycle spent nuclear fuel.

A 2011 earthquake and tsunami in Japan that knocked out a nuclear power plant helped inspire PNNL computational scientists looking for clues of future nuclear reactor mishaps by tracking radioactive iodine.

PNNL atomic-scale research shows how certain metal oxide catalysts behave during alkanol dehydration, an important class of oxygen-removal reactions for biomass conversion.

PNNL scientists have created an improved metal-organic framework (MOF) for adsorption cooling, that performs at least 40 percent better than its predecessors.

Their consistency and predictability makes tidal energy attractive, not only as a source of electricity but, potentially, as a mechanism to provide reliability and resilience to regional or local power grids.

Six months into a pandemic that has claimed more than 570,000 lives worldwide, scores of PNNL scientists are engaged in dozens of projects in the fight against COVID-19.

Researchers at PNNL have developed a software tool that helps universities, small business, and corporate developers to design better batteries with new materials that hold more energy.

PNNL and WSU researchers have improved the performance and life cycle of sodium-ion battery technology to narrow the gap with some lithium-ion batteries.

Research buoys managed by PNNL underwent a $1.3-million upgrade that included more powerful lidar that reaches heights of today’s taller wind turbines.

PNNL is managing the Data Archive and Portal, which provides the wind research community with secure, timely, easy, and open access to all data brought in from research under DOE’s Atmosphere to Electrons program.

PNNL’s Patrick Balducci delivered an information-packed tutorial on grid energy storage valuation at the Naval Postgraduate School in Monterey, California.

PNNL and the U.S. Forest Service used a combination of data, models, analytical techniques and software to evaluate forest restoration impacts on the environment, while also assessing the economics of resulting biomass.

PNNL has patented an instant, accurate and portable way to detect minuscule amounts of troublesome toxic PFAS chemicals in water samples.

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).

Nuclear Process Science Initiative researchers at PNNL gain insights into the formation and rupture of high-pressure gas bubbles in nuclear fuel.

Quantum computing experts gather in the Pacific Northwest to discuss challenges and progress.

PNNL study evaluated "tunable" lighting and its effects on sleep at study in a California nursing home. Tunable refers to the ability to adjust LED light output and the warmth or coolness of the light color.

PNNL employs deep learning strategies to advance Model Predictive Control (MPC), a highly promising solution for intelligent building operations.

With the help of a diagnostic tool called the Salish Sea Model, researchers found that toxic contaminant hotspots in the Puget Sound are tied to localized lack of water circulation and cumulative effects from multiple sources.

The Energy Storage System Safety and Reliability Forum at PNNL brought together more than 120 energy storage experts from the U.S. Department of Energy, the national laboratories, utilities, industry and academia.