Latest Stories

187 results found
Filters applied: Cybersecurity, Grid Cybersecurity, High-Performance Computing
APRIL 28, 2020
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
MARCH 16, 2020
Feature

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.
FEBRUARY 27, 2020
Staff Accomplishment

Passions Take Flight at PNNL

PNNL offers a wide range of internships in science, technology, engineering, and mathematics (STEM). Interns work in offices and laboratories alongside experienced researchers to expand their knowledge and form mentoring relationships.
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.
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 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.
DECEMBER 9, 2019
Staff Accomplishment

Computing Security Research Award

A student computing security research project guided by PCSD computer scientists Ang Li and Kevin Barker placed third among dozens of entries in the student research poster session at SC19, a premier annual conference for high-performance c
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.