PNNL and Amazon will collaborate to help grid operators respond to emergencies and threats.

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.

The new Washington State Academy of Sciences electees from PNNL represent expertise in nuclear forensics, soil sciences, electricity infrastructure, and more.

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.

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.

Computer scientist Antonino Tumeo is guest editing a special issue of IEEE’s Computer publication focused on democratizing microelectronics.

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.

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

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

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

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.

David Wunschel, a chemist and Laboratory Fellow, participated on a panel focused on how emerging technologies are transforming CBRN defense, detection, and response across military and government operations.

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

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

PNNL set to create a practical path for near-term hybrid classical-quantum computers with NVIDIA accelerated computing.

Emilie Purvine, a chief data scientist at PNNL, was elected as a council member at large of the American Mathematical Society.