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

The PermitAI™ team at PNNL has issued two new upgrades to its public resources for searching federal environmental permitting data.

Since the events of 9/11, PNNL has pivoted repeatedly to meet ever-evolving challenges around safety and security.

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

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

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.

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

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

PNNL is central to the Genesis Mission, leading and participating in projects central to the nation’s security and international competitiveness.

Secretary Wright visited PNNL's campus in Richland, Washington, late last year to meet with innovators in chemistry, biology, computing, and more.

Now, anyone can easily explore and access data from a nationwide map of data centers, the infrastructure that powers them, and projections of future data center locations.

The Genesis Mission will mobilize the Department of Energy’s 17 National Laboratories, industry, and academia to build an integrated discovery platform.

PermitAI’s newly released dataset, NEPATEC 2.0, captures and curates environmental review data for faster, better federal permitting.

PNNL-hosted workshop highlighted how AI-driven tools are capable of transforming labor-intensive NEPA processes into streamlined, efficient workflows.

The ARPA-E Energy Innovation Summit brings together researchers, industry leaders, entrepreneurs, and investors to showcase the latest technologies shaping tomorrow’s energy landscape. This year, eight projects led by PNNL were featured.

Nine national laboratories, including PNNL, bring together over 1,000 scientists for a day to use AI to accelerate scientific discovery.

Mini flow cell battery provides the first step toward an AI-driven, robotic energy storage discovery laboratory.

PNNL chemical engineer Mariefel Olarte shares passion for mentoring students and the next-generation workforce.

Federal environmental permitting process to be fast-tracked with AI-powered tools and cloud-supported data analysis.