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Filtered by Advanced Hydrocarbon Conversion, Data Analytics & Machine Learning, Fuel Cycle Research, Graph and Data Analytics, Reactor Licensing, Reactor Operations, Stakeholder Engagement, Subsurface Science, and Technical Training
SEPTEMBER 17, 2020
Web Feature

Not Your Average Refinery

In a new review, PNNL researchers outline how to convert stranded biomass to sustainable fuel using electrochemical reduction reactions in mini-refineries powered by renewable energy.
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
Web Feature

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).
DECEMBER 11, 2019
Web Feature

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.