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.

The Department of Energy’s Transportation Technologies Office has issued two 2026 Annual Merit Review Awards to researchers from PNNL. Both awards recognize PNNL researchers whose work is reducing the need for critical materials.

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.

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.

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.

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.

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

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

Stakeholders convened at PNNL to build a shared understanding of energy storage siting, permitting, safety, and local engagement.

PNNL chemist Sarah Saslow received the ACS Rising Star Award for her research supporting environmental cleanup, including work on legacy waste and subsurface contamination.

PNNL has developed a next-generation electrical resistivity tomography system for DOE that uses E4D software and AI-enhanced modeling to produce real-time subsurface images that help guide environmental remediation decisions.

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

Replacing commercial acid with acidic waste enables researchers to improve nickel extraction efficiency, lower projected costs, and improve process economics.