In today’s digital age, the rabbit hole of connected information can be not only a time sink, but downright overwhelming. Even for high-performance computers.
When two powerful earthquakes rocked southern California earlier this month, officials’ attention focused, understandably, on safety. How many people were injured? Were buildings up to code? How good are we at predicting earthquakes?
Patricia Huestis, a collaborator in the Interfacial Dynamics in Radioactive Environments and Materials (IDREAM) Energy Frontier Research Center, has been awarded the DOE Office of Science Graduate Student Research (SCGSR) award.
PNNL scientists today unveiled an updated tool designed to help stakeholders assess the nation's preparedness for biological-based dangers, also known as biothreats.
Scientists are exploring the use of deep neural network to interpret highly technical data related to national security, the environment and the cosmos.
Like detectives looking for clues, researchers at the Department of Energy's Pacific Northwest National Laboratory have been working for nearly a decade on ways to identify the "fingerprints" of potential chemical threats.
Pointing the finger at chemical criminals: Several scientists from PNNL and other institutions will discuss new methods and approaches at the American Chemical Society's national meeting in San Francisco April 2-6.
Nuisance alarm rates in radiation detectors at seaports and ports of entry are down significantly due to PNNL data analysis efforts that are saving time and money at the ports.