Latest Stories

217 results found
Filters applied: Materials Sciences, Electric Grid Modernization, Graph and Data Analytics, Home Energy Score, Staff Accomplishment
JUNE 17, 2020
Staff Accomplishment

Returning to the Scene of the Science

Jonathan Male originally joined PNNL in 2006 as a scientist focused on catalysis. After more than seven years leading DOE’s Bioenergy Technologies Office, he's back at PNNL as a chief scientist in the Energy Processes & Materials Division.
MAY 4, 2020
Staff Accomplishment

PNNL Team Takes a Lead Role at 5G Workshop

Ten staff members from PNNL were invited to attend and lead the various breakout sessions at the Department of Energy Office of Science 5G Enabled Energy Innovation Workshop (5GEEIW), which was held in early March.
FEBRUARY 19, 2020
Staff Accomplishment

David Manz Inducted into SFS Hall of Fame

David Manz, a PNNL cybersecurity scientist working to build more resilient architectures for the nation’s critical infrastructure, was inducted to the National Science Foundation’s CyberCorps: Scholarship for Service (SFS) Hall of Fame.
JANUARY 24, 2020
Staff Accomplishment

Nicole Nichols Speaks at AI Summit

Nicole Nichols, a senior researcher at PNNL, spoke during the AI: Policy Matters Summit in Seattle, Washington on December 12. The summit, hosted by TechAlliance, brought together more than 200 leaders from across Washington State.
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.
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.