Researchers at PNNL studied the effects of high temperatures and ionizing radiation on tungsten heavy alloys.

Erik Lentz and Christian Boutan will research quantum information science-enabled discoveries in high energy physics with these awards.

PNNL was recognized for its significant contributions to projects at the Secretary’s Honor Awards Ceremony in Washington, D.C.

Researchers have created an algorithm that slashes the calculations necessary to prepare and customize data for quantum computing.

Scientists are exploring how web search engine technology might also keep the lights on, the water running and the trains moving.

The Testing Risks of AI for National Security Taskforce will address critical safety and security concerns related to artificial intelligence.

A new generation of microelectronics research begins at PNNL.

PNNL researchers co-organized a workshop on fusion commercialization with partners from industry and academia

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 search for dark matter includes expertise in radio frequency signal detection, quantum sensing, and high-energy physics at PNNL.

Protecting critical systems such as the electrical grid from cyber-based risks to the supply chain is the focus of a new PNNL conference.

Calculating quantum chemistry quickly allows scientists to refine their understanding of complex chemical systems.

The speed and agility of cloud computing opens doors to completing advanced computational chemistry workflows in days instead of months.

Operators of critical infrastructure are trained to respond to cyberattacks using scale models of water treatment plants, freight rail yards, and more.

Researchers discussed this topic at the 2024 Analog Computing for Science Workshop co-led by Antonino Tumeo.

Ryan Eddy, director of homeland security programs at PNNL, was recognized as one of 50 trailblazers by Homeland Security Today.

PNNL researchers will pursue both fundamental and applied projects with this support from the Department of Energy

At PNNL, researchers are taking a wider look at the system through the supply chain’s lifecycle and subcomponents to determine the big-picture risks.

In a recent publication in Nature Communications, a team of researchers presents a mathematical theory to address the challenge of barren plateaus in quantum machine learning.

Combining cold spray deposition and friction stir processing for a more efficient route to oxide dispersion strengthened steel.