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.

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.

Pacific Northwest National Laboratory is leading efforts to address next-generation computing’s critical role in protecting the nation from cybersecurity threats.

Network Collapse, a virtual reality science, technology, engineering, and mathematics (STEM) app developed by PNNL researchers, has won a Gold Award from the 2019 International Serious Play Award.

Researchers at PNNL used key metrics to develop visualizations that show how the combined effects of climate change on hydropower and load influence the frequency, duration, and severity of power shortfalls.

PNNL's proving ground for emerging supercomputer technologies gets new leadership and seeks more input from researchers.

A new national collaboration will take supercomputers to the next level of performance.

Northwest researchers designing software for new DARPA-funded graphical processor in development.

Antonino Tumeo, a computational science researcher at PNNL, has been elevated to the rank of senior member in two professional societies.

High performance computing researcher Shuaiwen Leon Song asked if hardware called 3D stacked memory could do something it was never designed to do — help render 3D graphics.