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

A new interactive map gives state policymakers a birds-eye-view of wildfire-related legislation around the United States.

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

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.

Battery researchers are ready to work with private companies who want to test their own chemistries in a prismatic cell format.

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

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

PNNL offers a third-party testing environment to provide battery companies with independent data about their grid-scale systems.

GSL's utility-grade battery testing operation is now fully operational.

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.

Scientists are exploring how web search engine technology might also keep the lights on, the water running and the trains moving.

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

A new analysis shows how renewable energy sources like solar, wind and hydropower respond to climate patterns, and how utilities can use this data to save money and invest in energy storage.

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

A new digital twin platform can help hydropower dam operators by providing accurate and predictive models of physical turbines that improve facilities and enhance reliability.

Protecting critical systems such as the electrical grid from cyber-based risks to the supply chain is the focus of a new PNNL conference.