The Facility Cybersecurity toolkit, developed by PNNL, is designed for federal facilities to help implement the presidential executive order on cybersecurity, but it is also available for commercial facilities without charge.
Tracking down nefarious users is just one example of work at PNNL’s Center for Advanced Technology Evaluation, a computing proving ground supported by DOE’s Advanced Scientific Computing Research program.
Lauren Charles, a PNNL senior data scientist, has joined the editorial board of Pathogens. Pathogens is an international peer-reviewed open access journal of pathogens and pathogen-host interaction.
PNNL’s expertise is the foundation for monitoring technology that identifies trace amounts of radioactive materials and determines whether they are indicative of a nuclear explosion.
In recognition of Nuclear Science Week on Oct. 19-23, Pacific Northwest National Laboratory reflects on more than half a century of advancing nuclear science for the nation’s energy, environment, and security frontiers.
Pacific Northwest National Laboratory researchers used machine learning to explore the largest water clusters database, identifying—with the most accurate neural network—important information about this life-essential molecule.
Each summer, PNNL invites middle and high school STEM teachers from nearby underrepresented and underserved rural communities from the Mid-Columbia Basin region to participate in the Teacher-Scientist Partnership.
Jonathan Forman, science and technology advisor at Pacific Northwest National Laboratory, was announced as the winner of the Hall of Fame award in the innovator category by the Organisation for the Prohibition of Chemical Weapons.
Five PNNL technologies were recently awarded six R&D 100 honors. The R&D 100 Awards, now in its 58th year, recognize pioneers in science and technology from industry, the federal government, and academia.
A new agreement between Pacific Northwest National Laboratory and The University of Texas at El Paso will create research and internship opportunities.
PNNL researchers used machine learning to develop a tool for a nonprofit to identify orthopedic implants in X-ray images to improve surgical speed and accuracy.
The American Society for Quality (ASQ) has recognized Laboratory Fellow and Pacific Northwest National Laboratory (PNNL) Statistician Greg Piepel with the William G. Hunter Award.
PNNL team has developed and implemented a generalizable computational framework to study the resilience of the multilayered London Rail Network to the compound threat of intense flooding and a targeted cyberattack.
The nation’s ability to test for COVID-19 has expanded, thanks to work at Pacific Northwest National Laboratory, where scientists have established the performance of testing equipment to detect the virus.