The project received an Innovative and Novel Computational Impact on Theory and Experiment (INCITE) award, a highly competitive U.S. Department of Energy Office of Science program.

Pacific Northwest National Laboratory researchers used machine learning to explore the largest water clusters database, identifying—with the most accurate neural network—important information about this life-essential molecule.

PNNL researchers are developing the only tool that can control large-scale distributed energy resources in real time.

Plug and Play DER Challenge seeks to enable distributed energy technologies to integrate, connect and operate in harmony on the power grid.

PNNL has been honored with three awards for excellence in transferring technologies to private sector by the Federal Laboratory Consortium.

Calcium carbonate found in chalk, shells and rocks is one of the most important materials on earth. New insights on how it turns into hard, strong materials will help scientists design materials needed for a low-carbon future.