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135 results found
Filtered by Advanced Lighting, Advanced Reactors, Building-Grid Integration, Emergency Response, Environmental Monitoring for Marine Energy, Graph Analytics, Grid Cybersecurity, High-Performance Computing, Materials in Extreme Environments, Radiation Measurement, Reactor Licensing, and Vehicle Energy Storage
NOVEMBER 23, 2020
Web Feature

The Impact of Pruning

PNNL researchers have shown an improved binarized neural network can deliver a low-cost and low-energy computation to help the performance of smart devices and the power grid.
OCTOBER 26, 2020
Web Feature

Safeguarding the Nation’s Supercomputers

Tracking down nefarious users is just one example of work at PNNL’s Center for Advanced Technology Evaluation, a computing proving ground supported by DOE’s Advanced Scientific Computing Research program.
OCTOBER 13, 2020
Web Feature

Opening the Black Box of Neural Networks

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.
SEPTEMBER 14, 2020
Web Feature

VOLTTRON™ Goes to School

The PNNL-developed VOLTTRON™ software platform’s advancement has benefited from a community-driven approach. The technology has been used in buildings nationwide, including most recently on a university campus.
JULY 9, 2020
Web Feature

Building a Better Battery—Faster

Researchers at PNNL have developed a software tool that helps universities, small business, and corporate developers to design better batteries with new materials that hold more energy.
APRIL 28, 2020
News Release

A Leap in Using Silicon for Battery Anodes

Researchers at PNNL have come up with a novel way to use silicon as an energy storage ingredient, replacing the graphite in electrodes. Silicon can hold 10 times the electrical charge per gram, but it comes with problems of its own.