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Filters applied: Renewable Energy, High-Performance Computing
NOVEMBER 12, 2019
Staff Accomplishment

Driving Machine Learning to Exascale

Through her role in the Department of Energy’s Advanced Scientific Computing Research-supported ExaLearn project, Jenna Pope is developing deep learning approaches for finding optimal water cluster structures for a variety of applications.
OCTOBER 31, 2019
Feature

The World’s Energy Storage Powerhouse

Pumped-storage hydropower offers the most cost-effective storage option for shifting large volumes of energy. A PNNL-led team wrote a report comparing cost and performance factors for 10 storage technologies.