The Adaptive Tunability for Synthesis and Control via Autonomous Learning on Edge (AT SCALE) Initiative will transform materials synthesis through closed-loop autonomous experimentation.

Innovative cement and concrete technologies at PNNL enhance durability and performance through self-healing formulations and cost-effective, high-performance materials derived from waste, enabling more resilient, reliable infrastructure.

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 Grid Modernization Lab Consortium (GMLC) is developing solutions, strategies, and resources for better integrating equity and justice goals in electricity planning and operations.

PNNL evaluates bacterial, fungi, and algae strains as part of a four-step process to streamline and standardize biomanufacturing processing.

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