A perspective paper recently published by PNNL researchers underscores how the Lab’s research on electrochemical energy storage is preparing the electric grid to meet the energy needs of the future.

Coding agents repurposed to draft complex environmental impact statement sections through PermitAI public-private partnership model.

AutoLabs is a new agentic AI system that translates experimental goals into robot-specific language.

PNNL has formed a partnership with the Orlando-based firm Refinity, which has licensed a key process from PNNL that will help the company convert mixed plastic waste into valuable industrial products like chemicals, plastics, and fuels.

PNNL will build an AI-powered modeling platform to help geothermal energy operators maximize electricity generation.

The comprehensive guide can help companies build AI data centers that keep energy costs low and maintain grid stability.

New partnership agreement to focus on AI, robotics, and advanced energy systems.

Mechanical engineer Scott Whalen is named the Department of Energy’s Innovator of the Year for turning the patented metal extrusion invention ShAPE™ into an industrially relevant extruded metal product juggernaut.

Novel Applications for Synchronized Power Instrumentation seeks to improve electric grid resilience, reliability, security, and affordability.

Battery researchers are ready to work with private companies who want to test their own chemistries in a prismatic cell format.

A new report highlights a public workshop hosted by the National Academies Forum on Microbial Threats and features PNNL's Lauren Charles and the AI-Driven One Health Security program.

A research team from Pacific Northwest National Laboratory used machine reasoning to schedule scientific workflows while guaranteeing quality of service (QoS).

PNNL researchers highlighted advances in AI for scientific discovery at the AI+ Expo, showcasing generative AI, autonomous research workflows, and scalable AI systems supporting energy, security, and national competitiveness.

Researchers at PNNL have developed an interpretable, lightweight AI model that can easily predict weld microstructure features using only basic machine sensor inputs.

Critical minerals could be sourced from industrial waste at scale thanks to an AI-guided separation workflow developed by researchers at PNNL.

At a geospatial intelligence conference, senior data scientist Adam Attarian participated in a panel discussing how national laboratories are delivering science, technology, and partnerships to enhance modeling, analysis, and innovation.

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.

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.