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

Genesis Mission awards to PNNL will advance scientific discovery, next-generation energy systems and advanced manufacturing, among others.

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 researchers demonstrate high-purity production of two essential gases to ensure a U.S. domestic feedstock for advanced quantum computing.

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

PNNL convenes leaders from the Department of Energy, national laboratories, computing industry and academia for a two-day workshop to advance quantum computing for computational chemistry.

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.

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

An international research team deployed AI-powered computing to solve important chemical structures for energy applications using NVIDIA hardware.

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

A suite of new modeling methods gives researchers better tools to predict molecular behavior inside cavities.

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.

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

PNNL’s Center for the Remediation of Complex Sites inducted leaders Director David Peeler, Deputy Director Carolyn Pearce, Operations Director Christian Johnson, and advisors with multidisciplinary subsurface research expertise.

PNNL addresses vulnerabilities interconnected to operational technologies by improving cybersecurity with targeted tools and trainings.

A recent article highlighted a PNNL report focused on post-quantum cryptography and electric vehicle charging infrastructure.