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 Biodefense Policy Landscape Analysis Tool (B-PLAT), captures and presents a slew of information about U.S. efforts to protect its citizens and others around the world from diverse threats.
Pacific Northwest National Laboratory partnered with the Treasury and Amazon Web Services to develop Cache, a cloud-based tool that allows the Treasury’s disparate data to be easily searched, translated, extracted, linked, and analyzed.
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
RemPlex provides a global forum committed to fostering technical leadership, collaborative research, and professional development that facilitates the cost-effective remediation of complex sites.
The Computational and Theoretical Chemistry Institute (CTCI) aspires to establish a premier international center for chemistry and materials science software at extreme scales.
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.
