As space exploration flourishes, a new governance working group has been established; Kate Doty will co-lead the effort.

PNNL helps strengthen domestic supply of critical mineral needed for new cutting-edge cancer therapy.

PNNL has named Douglas Mans and Daniel Stephens as associate laboratory directors to lead science and national security strategies.

Graduate student researcher wins best poster awards from the American Ceramic Society.

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.

PNNL and Maritime Blue, a Washington state-based strategic alliance promoting maritime business in the Pacific Northwest, have released a report highlighting challenges—and solutions—for reinvigorating shipbuilding in the region.

PNNL has administered NGFP on behalf of NNSA since 2002. Looking toward the future, NGFP has signed a partnership agreement with INMM with the goal of expanding its reach to more future leaders with a passion to serve.

Study shows the advantages of top-town proteomics for characterizing histones.

PNNL recently led a team effort that secured external accreditation for the Office of Radiological Security Radiological Security Awareness and Response Communications Workshop.

Working with DOE and PNNL, Google has created a new badge that will help consumers find highly skilled home energy specialists.

PNNL researchers will deploy advanced AI systems to study how to best secure the future electric grid.

High-Velocity Joining is a new joining technology that could reduce energy use and cost for manufacturers.

PNNL’s Robert Rallo and Nathan Hodas speak to students about the future of AI.

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

A newly published custom collection of glass formulas for nuclear waste vitrification — developed and validated by PNNL over the past three years — was made possible in that timeframe with AI tools, including a PNNL machine learning model.

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

At the summit, PNNL engaged with partners and investors, highlighting seven projects that accelerate the deployment of new energy technologies.

An international research team deployed AI-powered computing to solve important chemical structures for energy applications using NVIDIA hardware.

PNNL has chosen three proven leaders to serve in key roles guiding lab research and operations.