Aaron Luttman, a mathematician and senior technical advisor at PNNL, was invited as a guest speaker during the 2021 National Math Festival.

A PNNL article on developments in ceramics and glass for sustainable energy also highlights research staff—and earns a journal cover.

Researchers gained insight into the interfacial radiation chemistry of radioactive waste sludge through studies of surface functional groups on model aluminum-containing solids

In the face of the COVID-19 pandemic, PNNL pivoted to online learning approaches to conduct critical national security training across the globe.

PNNL ocean engineer Alicia Gorton has been invited to serve a three-year term as editor of the Marine Technology Society Journal.

IDREAM researchers have discovered the chemical processes that underpin gibbsite solubility in sodium hydroxide, including sodium nitrate and sodium nitrite interactions.

IDREAM's Xiaosong Li was honored with the Distinguished Teaching Award, the highest teaching honor from the University of Washington.

PNNL researchers are using explainable artificial intelligence to develop new ways to understand and interpret data for national security.

PNNL data scientists Svitlana Volkova and Emily Saldanha, along with former PNNL intern Pamela Bilo Thomas, will publish their research on online information spread in Nature's Scientific Reports.

Understanding the Earth as a complex, dynamic system includes investigating what happens on, above and below its surface.

She leads a research team focused on interfacial chemistry in complex environments. IDREAM is one of DOE’s 41 Energy Frontier Research Centers.

PNNL’s cultural resources team has worked on Tribal relations projects across the U.S. to navigate potential impacts of complex energy siting efforts.

PNNL's Brenda Wiesner creates one-of-a-kind artwork using peeling paint and rusty scraps from decommissioned RPM shells.

Explainable artificial intelligence—understanding and explaining the reasoning behind AI decisions—is a necessity for national security.

Developing solutions and capabilities to advance environmental justice with 25 years of hands-on, multidisciplinary experience nationwide.

Michael Henry, a senior data scientist at PNNL, has accepted a joint appointment at the Texas A&M University RELLIS Center for Applied Research and Experiential Learning.

On the looming 10th anniversary of the Fukushima disaster at the Daiichi Power Station in Japan, PNNL looks back at the science and solidarity it has shared with Fukushima and its nuclear cleanup effort.

Fifty-eight PNNL staff members were recognized as members of enterprise-wide teams that helped address challenges in national health and security through transformative science and technology solutions.

Explainable AI helps scientists understand and untangle the threads of information that the system uses to make choices or recommendations.

PNNL data scientists Henry Kvinge and Ted Fujimoto presented their research on few-shot learning and reinforcement learning, respectively, at workshops during the 2021 AAAI Conference on Artificial Intelligence.