PNNL partners with businesses to test new HVAC technologies at commercial buildings to evaluate the performance of next-generation RTUs.

Award-winning research advances AI applications for environmental cleanup.

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.

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

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

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.

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.

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

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.

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.

PNNL's Building Energy Model AI is an open-source bot that can help energy modelers save time and money.

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