The two projects will use Super Intelligence to simplify and speed up complex modeling processes.

Scientists combined detailed images and coordinated time-series multiomics data to show how protein complexes regulate carbon fixation as light conditions change.

New shared research computing infrastructure for Genesis Mission released today.

New Genesis Mission projects aim to solve challenging problems in grid, computing, physics and geothermal energy with PNNL contributions.

Assistant Secretary Katie Jereza toured PNNL capabilities that translate laboratory innovation into operational and industry impact.

Commercialized PNNL technology helps utilities improve grid efficiency and reliability, reducing power disruptions for customers.

A decade-long evolution in making omics data easier to analyze earns widespread recognition.

Researchers showed that spiking neural networks can be accurate for regression problems, opening opportunities for efficient neuromorphic computing.

Longtime PNNL researcher resumes leadership role, continuing AGI’s partnership between PNNL and WSU.

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.

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.

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

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

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

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.