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Filters applied: Scientific Discovery, Distributed Wind
DECEMBER 6, 2019
Feature

Converging on Coastal Science

Advancing a more collective understanding of coastal systems dynamics and evolution is a formidable scientific challenge. PNNL is meeting the challenge head on to inform decisions for the future.
DECEMBER 4, 2019
Feature

A More Painless Extraction

PNNL and Argonne researchers developed and tested a chemical process that successfully captures radioactive byproducts from used nuclear fuel so they could be sent to advanced reactors for destruction while also producing electrical power.
NOVEMBER 29, 2019
Staff Accomplishment

Scientist, Meet Artist

Jason McDermott is a PNNL computational biologist whose research interests include machine learning, data integration, and network inference. He unravels complex data related to cancer, infectious disease, and soil microbiomes.
NOVEMBER 12, 2019
Staff Accomplishment

Driving Machine Learning to Exascale

Through her role in the Department of Energy’s Advanced Scientific Computing Research-supported ExaLearn project, Jenna Pope is developing deep learning approaches for finding optimal water cluster structures for a variety of applications.
NOVEMBER 11, 2019
Staff Accomplishment

Two PNNL scientists in Top 100 list

PNNL scientists Richard (Dick) Smith and Ljiljana (Lili) Paša-Tolić are recognized by The Analytical Scientist in its 2019 Power List as two of 2019’s top 100 minds in analytical science.