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.
A multi-institute research team is exploring ways to improve residential walls across America, making homes warmer and drier and delivering significant energy savings.
Researchers at PNNL construct a novel approach that requires less field work while delivering critical information on building code compliance and energy efficiency in new homes.
Following the energy crisis of 2000-2001, the State of Washington received financial settlements from six energy companies, a fraction of which was used for energy-efficiency research.
