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.

Energy experts at PNNL are helping 56 states and territories deliver their state energy security plans (SESPs) through a transparent and collaborative review process.

Pacific Northwest National Laboratory (PNNL) is advancing autonomous learning technologies to bolster U.S. critical infrastructure resilience.

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

Cyber, physical, and blended cyber-physical threats are real, ubiquitous, and expensive to deal with. Private companies, government institutions, and critical infrastructures struggle to implement viable solutions as technology evolves.

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.

The Data-Model Convergence (DMC) Initiative is a multidisciplinary effort to create the next generation of scientific computing capability through a software and hardware co-design methodology.

In January 2024, CESER—in partnership with GDO, NASEO, and PNNL—created a set of state energy security cohorts to support the coordination and technical development of state energy security planning, assessment, and mitigation.

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.