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Filtered by Dark Matter, Fuel Cycle Research, High-Performance Computing, Neutrino Physics, Precision Materials by Design, Scientific Discovery, Secure & Adaptive Systems, Stakeholder Engagement, Subsurface Science, and Vehicle Energy Storage
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.
JULY 21, 2020
Web Feature

A Remarkable Rate of Return with Catalytic Bias

A multi-institution research team found how the protein environment surrounding some enzymes can alter the direction of a cellular reaction, as well as its rate—up to six orders of magnitude—in a phenomenon referred to as catalytic bias.
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.
APRIL 28, 2020
Web Feature

The Quantum Gate Hack

PNNL quantum algorithm theorist and developer Nathan Wiebe is applying ideas from data science and gaming hacks to quantum computing