Through AMAIS, PNNL is developing new memory systems that can advance scientific computational research by broadening AI capabilities and powering high-speed analysis of large datasets.

The AI-Driven One Health Security activities at PNNL are focused on disrupting health threats and their impacts.

Pacific Northwest National Laboratory (PNNL) is advancing AI that unlocks new scientific discoveries, ensures reliable energy, and strengthens national security through the Center for AI @PNNL and its partnership with the Department of Ener

A report on the projected effects of climate change on federal hydropower through the end of the twenty-first century.

PNNL and ORNL are working together on Digital Twins to modernize the U.S. hydropower plant fleet, which will reduce operating costs, improve reliability, reduce downtime, enhance grid resiliency, and reduce environmental impacts.

New report examining multiple decades of climate and hydropower generation data provides insights into resilience of the western hydropower fleet.

PNNL is launching a new foundational capability to address broad, complex energy security challenges our country faces.

Usable and explainable models for global-scale, cross-lingual proliferation expertise identification and forecasting.

PNNL and collaborators have established a national heat pump and heat pump water heater partnership to help drive adoption of these energy-saving technologies in both residential and commercial buildings.

The Flow Tradeoff Tool is a free, comprehensive software toolkit designed to evaluate trade-offs between hydropower energy production and environmental flows.

Pacific Northwest National Laboratory’s Generative AI Investment aims to harness this transformative technology to drive innovation across the science, energy, and security research domains.

PNNL is a key partner in the Department of Energy (DOE) Genesis Mission, which is developing a powerful AI platform to accelerate scientific discovery, drive energy innovation, and strengthen national security.

Researchers are bridging hydropower data gaps for unrivaled forecasting precision to support grid resilience.