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Filtered by Advanced Lighting, Chemical Physics, Data Analytics & Machine Learning, Environmental Management, High-Performance Computing, Hydrogen & Fuel Cells, Neutrino Physics, Secure & Adaptive Systems, Solar Energy, Stakeholder Engagement, Technical Training, Terrestrial Aquatics, and Vehicle Technologies
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.
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
APRIL 21, 2020
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Beneath It All

At PNNL, subsurface science inhabits two separate but interlocking worlds. One looks at basic science, the other at applied science and engineering. Both are funded by the U.S. Department of Energy (DOE).
APRIL 6, 2020
Web Feature

Blue Light? Orange Light?

PNNL study evaluated "tunable" lighting and its effects on sleep at study in a California nursing home. Tunable refers to the ability to adjust LED light output and the warmth or coolness of the light color.