This study presents an automated method to detect and classify open- and closed-cell mesoscale cellular convection (MCC) using long-term ground-based radar observations.

How to keep stray radiation from “shorting” superconducting qubits; a pair of studies shows where ionizing radiation is lurking and how to banish it.

The Health Physics Society has selected Jonathan Napier, a PNNL environmental health physicist, to serve as a delegate to the International Radiation Protection Association’s General Assembly.

Researchers are developing and deploying solutions to reduce risk and increase efficiency while keeping people and the environment safe.

Scientists stop the motion of atoms to watch electrons move in liquid water.

Bradley Crowell with the U.S. Nuclear Regulatory Commission sees advanced materials integrity, radiological measurement, and environmental capabilities on his first visit to PNNL.

Under Secretary for Science and Innovation at the Department of Energy Geri Richmond visited PNNL.

Focused research studies of advanced algorithms and materials are setting the stage for the next generation of quantum computers.

A PNNL team is leading the design, fabrication, and regulatory testing, and delivery of new packaging units that will be used to ship radioactive materials safely and securely.

Rey Suarez is a nuclear nonproliferation researcher who is working on equipment that can detect radionuclides emitted from a nuclear explosion as part of treaty monitoring.

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.

PNNL is lending analytics expertise to a new first-of-its-kind electric-vehicle carsharing program being launched in Hood River, Oregon.

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

A webapp developed by PNNL in collaboration with the University of Washington to help drive efficiencies for urban delivery drivers is now in the prototype stage and ready for testing.

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.

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