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Filtered by Advanced Lighting, Computational Mathematics & Statistics, Dark Matter, Emergency Response, Grid Architecture, High-Performance Computing, Hydrogen & Fuel Cells, Secure & Adaptive Systems, and Subsurface Energy Systems
OCTOBER 13, 2020
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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
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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 6, 2020
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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.
MARCH 16, 2020
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Carving Out Quantum Space

The race toward the first practical quantum computer is in full stride. Scientists at PNNL are bridging the gap between today’s fastest computers and tomorrow’s even faster quantum computers.
JANUARY 21, 2020
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Forensic Proteomics: Beyond DNA Profiling

A new book by PNNL biochemist Erick Merkley details forensic proteomics, a technique that directly analyzes proteins in unknown samples, in pursuit of making proteomics a widespread forensic method when DNA is missing or ambiguous.
DECEMBER 11, 2019
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PNNL to Lead New Grid Modernization Projects

PNNL will lead three new grid modernization projects funded by the Department of Energy. The projects focus on scalability and usability, networked microgrids, and machine learning for a more resilient, flexible and secure power grid.