PNNL researchers are advancing AI-assisted nuclear fuel recycling to tap more than 90% of the energy potential left in used fuel, reduce waste and support secure, cost-effective next-generation reactors.

From smart grid pioneers to AI innovators, the EIOC continues shaping the future of the power grid.

Wei Wang’s career helped shape the rise of energy storage at PNNL—from a small emerging field to a cornerstone of the nation’s reliable energy future.

PNNL mathematician and AI researcher Henry Kvinge bridges math and AI, finding connections between the two fields and studying ways where they can foster mutual progress.

PNNL researchers are studying ways to use seawater and seawater-generated chemicals to acquire magnesium, lithium, and other critical materials.

A team at PNNL support the Joint Actinide Shock Physics Experimental Research program.

PNNL’s nondestructive evaluation capabilities support advancements in nuclear energy, including research for the U.S. Nuclear Regulatory Commission to preserve the nation’s existing nuclear fleet.

A new invention from PNNL could soon help manufacturers more easily adopt the Lab’s patented Shear Assisted Processing and Extrusion (ShAPE™) technology, enabling faster manufacturing of superior extrusion products.

PNNL convenes leaders from the Department of Energy, national laboratories, computing industry and academia for a two-day workshop to advance quantum computing for computational chemistry.

Stephen Hernandez and Kaley Walker are among the 72 fellows who have the distinction of being part of the 30th class of the NNSA Graduate Fellowship Program.

Integrating multiple structural proteomics techniques helps unravel microbial responses to changing environments—key to developing next-generation biotechnology solutions.

Scientists equipped research subjects with wristbands to measure many factors that contribute to their exposome.

Scientists are optimizing microbes to harvest critical minerals and produce bioproducts using AI and autonomous lab equipment.

Custom AI research assistant allows users to ask questions and get answers from hundreds of wildfire mitigation plans.

Automated liquid handling, combined with data analysis and AI, optimizes microbiological growth conditions at PNNL.

Explore the past, present, and future of technological advancements made by scientists at PNNL.

Autonomous science laboratories are taking shape quickly across the PNNL campus.

A decade after working as a post-bachelor’s researcher at PNNL, chemist Quin Miller is helping develop the workforce for the critical minerals-focused mines of the future.

The PNNL-developed UF6 Gas Enrichment Sensor (UGES) prototype is the next generation of a previous enrichment monitoring device—namely the Online Enrichment Monitor. UGES will increase the accuracy of uranium measurements.

A modeling study shows that adding batteries to a dam could decrease the wear and tear on hydropower turbines and open up new opportunities for dam operators to earn revenue.