Predicting how organisms’ characteristics respond to not only their genes, but also their environments (a nascent field called predictive phenomics) is extraordinarily challenging. Researchers at PNNL are using AI to tackle that challenge.

A breakthrough at PNNL could free friction stir from current constraints—and open the door for increased use of the advanced manufacturing technique on commercial assembly lines.

Seaweed could be a new source of critical minerals for electronics, vehicles, and buildings.

Big energy storage science is brewing at GSL just one year after its groundbreaking.

From vehicles and airplanes to solid-phase processing of metals—how Curt Lavender and his team at PNNL solve industry problems with practical ingenuity.

The Department of Energy Art of Science contest entry focuses on the extraordinary universe of chemical bond making and breaking under irradiation.

Quantum computing promises leaps in chemistry and materials science, and PNNL is preparing to realize its potential with a collaborative approach.

PNNL chemist and AI scientist Nancy Washton invited to present on AI literacy at National Science Bowl.

Machine learning and autonomous experimentation are poised to revolutionize how scientists grow very thin films on surfaces, important for technologies like microelectronics and quantum computing.

Over the next four years, PNNL and University of Arizona will develop open-source computational tools to better identify and characterize the viruses associated with the human microbiome.

Armed with some of the world’s most advanced instrumentation, researchers at PNNL are working to analyze huge amounts of data and uncover hidden biological connections.

Nine national laboratories, including PNNL, bring together over 1,000 scientists for a day to use AI to accelerate scientific discovery.

For PNNL’s Jonathan Evarts, Hope Lackey, and Erik Reinhart, this partnership with WSU opened doors and provided opportunities for their scientific careers to flourish.

A potential quantum advantage for fluid dynamics simulations from molecular to atmospheric scales with a new formula for success.

Led by interns from multiple DOE programs, a newly expanded dataset allows researchers to use easy-to-obtain measurements to determine the elemental composition of a promising carbon storage mineral.

Scientists are using artificial intelligence and powerful computing to sculpt new molecules in an effort to treat disease.

LabSigns is a new effort spearheaded by a Deaf scientist and a hearing scientist to create American Sign Language signs for the laboratory.

The search for dark matter includes expertise in radio frequency signal detection, quantum sensing, and high-energy physics at PNNL.

Calculating quantum chemistry quickly allows scientists to refine their understanding of complex chemical systems.

PNNL chemist John Shilling builds custom chamber helping uncover how aerosol particles and clouds contribute to Earth’s changing climate.