PNNL combines AI and cloud computing with damage assessment tool to predict path of wildfires and quickly evaluate the impact of natural disasters, giving first responders an upper hand.

Grid Forward, an industry association dedicated to promoting and accelerating innovation in the regional electric system, honored PNNL's Carl Imhoff with the 2021 Grid Innovator Award.

PNNL's Rich Ozanich, project manager of opioids standards and equipment testing, served on an expert panel about opioid detection as part of a Department of Homeland Security S&T research and development showcase.

At PNNL, women in engineering tackle some of the world’s most complex problems in environmental science, sustainable energy, and national security.

PNNL recently worked with Purdue University to host a Cybersecurity Summit for PNNL researchers to find out more about the research at Purdue’s Center for Education and Research in Information Assurance and Security.

Svitlana Volkova uses natural language processing and AI to reveal how misinformation and disinformation spread through social media.

Researchers to design their own computer accelerators for faster analysis of large datasets.

PNNL provided ultra-low measurements of argon-39 to date groundwater as part of a collaborative study of the aquifer in California’s San Joaquin Valley. PNNL is one of only a few laboratories worldwide with this capability.

PNNL materials scientist Dongsheng Li looks forward to using a co-located collection of advanced research equipment in the new Energy Sciences Center.

A series of internships and course work help prepare PNNL intern Eva Jacroux for prestigious scholarship.

PNNL’s Framework for Assessment of Complex Environmental Tradeoffs helps navigate and evaluate competing environmental, economic, and social impacts.

OpenCGRA expedites the design-prototype cycle of computer architecture development.

PNNL’s infrared pulsed heating technique reveals supercooled water’s weird behavior; opens door to other fluid studies at new Energy Sciences Center.

Svitlana Volkova, chief scientist for decision intelligence and analytics at PNNL, was invited as a panelist at the SIAM International Conference on Data Mining

Scientists have created a cybersecurity technology that stops hackers from doing damage by feeding them illusory tidbits of success.

The multi-year project funded by DOE’s High Energy Physics program will focus on using machine learning to prevent power outages.

NNSA and PNNL celebrated 48 fellows whose year-long assignments spanned the nuclear security technology and policy mission.

The DOE Early Career Research Program supports exceptional researchers during the crucial early years of their careers and helps advance scientific discovery in fundamental sciences

National Nuclear Security Administration Graduate Fellow Marc Wonders has spent the past year working with researchers exploring artificial intelligence in the national security mission space.

Risk analysis on the plutonium-fueled power system that supplies electricity to the Mars rover answered the “what if” nuclear safety questions for NASA.