Materials Characterization, Prediction, and Control
Advancing the understanding and monitoring of nuclear material processing to accelerate development and qualification of new material systems for national security and nuclear energy.
Objectives
Leadership Team
Publications
Using AI to Explore Possibilities in Advanced Manufacturing
PNNL researchers created a model that helps materials scientists not only predict what is, but what could be.
The Shady Role of Shallow Clouds
Cloud shadows are found to influence shallow cloud size and water content.
Hurricanes Gained Strength More Quickly in the Central and Eastern Atlantic Ocean Over the Last 30 Years
A positive shift in the Atlantic Multidecadal Oscillation and changes in the large-scale hurricane environment are behind the increase in magnitude of rapid intensification.
Tiny Processes in Clouds Drive Storm System Longevity over the Central United States
With improved cloud microphysics representing observed storm structures, models can better simulate long-lasting storms prone to produce flooding.
A Hydrological Emulator for Global Applications
New open-source software mimics complex global hydrological models with extraordinary computational efficiency.