PNNL computer scientist Ang Li serves as one of the principal investigators for a project selected to receive DOE funding.

Tomorrow’s scientific leaders gain real-world experience contributing to PNNL’s research and development.

PNNL dose reconstruction expert Bruce Napier reviews report on public exposure to ionizing radiation for the United Nations.

Researchers to design their own computer accelerators for faster analysis of large datasets.

Risk analysis on the plutonium-fueled power system that supplies electricity to the Mars rover answered the “what if” nuclear safety questions for NASA.

PNNL computer scientists joined international leaders in machine learning to present research to detect and address potential cybersecurity threats and devise epidemic interventions.

PNNL researchers are using explainable artificial intelligence to develop new ways to understand and interpret data for national security.

PNNL's Brenda Wiesner creates one-of-a-kind artwork using peeling paint and rusty scraps from decommissioned RPM shells.

Explainable artificial intelligence—understanding and explaining the reasoning behind AI decisions—is a necessity for national security.

Explainable AI helps scientists understand and untangle the threads of information that the system uses to make choices or recommendations.

Sriram Krishnamoorthy, a computer scientist at PNNL, collaborated with a University of Utah team on a student computing research project that won Best Student Paper at SC20.

Ultra-trace radiation detection technique sets new global standard for measuring the nearly immeasurable.

A recent edition of the Infrastructure Resilience Research Group Journal featured an article written by PNNL researchers Rob Siefken and Jake Burns about “Design Basis Threat and the Low Threat Environment.”

As a physicist at PNNL, Jon Burnett’s work is about developing instruments to detect ultra-trace radionuclide signatures, analyze samples from around the world to look for evidence of nuclear explosions, and then interpret that information.

Despite the challenges, the talented and dedicated staff at Pacific Northwest National Laboratory kept delivering for the nation.

James A. Ang, a PNNL computing expert, was recently invited to moderate a panel in a virtual workshop focused on federally funded research and development on software for heterogeneous computing.

Quantum computing experts gather in the Pacific Northwest to discuss challenges and progress.

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.

Researchers apply numerical simulations to understand more about a sturdy material and how its basic structure responds to and resists radiation. The outcomes could help guide development of the resilient materials of the future.