Latest Stories

191 results found
Filters applied: Graph and Data Analytics, Fossil Energy
DECEMBER 20, 2019
Staff Accomplishment

Two PNNL Researchers Named IEEE Fellows

Sonja Glavaski and Kevin Schneider, both electrical engineers at PNNL, have been named as IEEE fellows. IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
DECEMBER 17, 2019
Staff Accomplishment

Women in Computational Topology Success

A group of female mathematicians and computer scientists, which includes PNNL’s Emilie Purvine, has published its third paper on joint research to understand and accurately represent object relationships through metric graphs.
DECEMBER 11, 2019
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.
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.
JUNE 11, 2019
Staff Accomplishment

Nik Qafoku Honored for Soil Chemistry Career

The Soil Science Society of America presents Nik Qafoku with the 2019 Jackson Award for contributions in soil chemistry and mineralogy—ranging from agricultural fertilizer efficiency in Albania to soil contaminant transport at Hanford.
MAY 1, 2019
Feature

Modeling Nanomaterials on Modern Earth

A study co-led by PNNL and reviewed in Science investigates how nanomaterials—both ancient and modern—cycle through the Earth’s air, water, and land, and calls for a better understanding of how they affect the environment and human health.