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).

Artificial intelligence helps researchers identify metabolites, the small molecules that underlie life.

PNNL and the National Nuclear Security Administration are building future leaders for nuclear security through the NNSA Graduate Fellowship Program, a hands-on fellowship spanning the nuclear security enterprise.

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

A team of researchers is working to expand our uranium chemistry understanding using a surprising tool: lasers. This capability gives never-before-seen insight into uranium gas-phase oxidation during nuclear explosions.

Low-salinity surface waters may promote rapid intensification through hurricane-induced oceanic mixing and air-sea energy transfer.

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.

A PNNL scientist is studying the structures of the proteins on the surface of the novel coronavirus, using NMR spectroscopy to reveal information about the molecular toolkit that holds the keys to a vaccine or treatment.

Existing techniques to detect pertechnetate in the environment have drawbacks. PNNL’s redox sensor technology uses a gold probe to accurately and efficiently measure low levels of pertechnetate—and possibly other contaminants—in groundwater

Nighttime interaction between Bay Area pollution and biogenic isoprene led to efficient formation of secondary organic aerosols.

Agent-based models of water resource management can include the interaction between human-engineered systems and natural processes

Industrial processing of aluminum requires understanding its behavior in highly alkaline solutions. Processing slurries and precipitates from these solutions is aided by controlling the shape of tiny particles that are produced.

PNNL scientists are on the front lines fighting against biological threats through early detection, diagnosis, and prevention strategies.

Researchers at the IDREAM EFRC developed a new approach called Model Order Reduction that reduces computational complexity and speeds generation of results.

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

A new procedure for estimating sunlight reflection provides insight into feedbacks that affect Arctic warming.

A recent paper published in Water Resources Research found that the spatial variability of subsurface sediments, and seasonal fluctuations in a river’s water level, influences the behavior of a uranium contaminant plume, particularly in ...

Research conducted by scientists in the Interfacial Dynamics in Radioactive Environments and Materials (IDREAM) Energy Frontier Research Center has revealed new insights about reactions at the alumina/water interface.