Innovative technology combines continuous, remote, real-time testing and monitoring of byproduct gasses, paving the way for faster advanced reactor development and testing.

PNNL streamlines environmental review process for advanced reactors, saving years and millions of dollars toward deployments of new nuclear power projects.

PNNL radiochemist and research manager Patricia Paviet named National Technical Director for the Molten Salt Reactor (MSR) Program by the U.S. Department of Energy’s Office of Nuclear Energy.

As a member of the NAM board of directors, Brett Jefferson, PNNL data scientist, will help lead the professional association’s mission to advance mathematical excellence of underrepresented minorities.

In 2020, virtual Washington State University teams successfully worked together in a program sponsored by the National Nuclear Security Administration’s (NNSA) Office of International Nuclear Safeguards.

Klymyshyn was recognized as “Engineer of the Year” by the American Society of Mechanical Engineers, Columbia Basin Section for his technical, professional, and community contributions.

New mathematical tools developed at PNNL hold promise to transform the way we operate and defend complex cyber-physical systems, such as the power grid.

The partnership to apply artificial intelligence to improve complex systems is part of a U.S. Department of Energy Office of Science $4.2 million, three-year grant.

PNNL scientists joined international leaders in artificial intelligence research to discuss the latest advances, opportunities, and challenges for neural information processing—the foundation for AI.

Red teaming for CPS, the process of challenging systems, involves a group of cybersecurity experts to emulate end-to-end cyberattacks following a set of realistic tactics, techniques, and procedures.

Data Scientist Sam Chatterjee to chair security and defense specialty group of the Society for Risk Analysis.

The workshop brought together 184 scientists to explore research opportunities for nuclear physics in artificial intelligence.

Interdisciplinary review blends advanced scientific understanding to help predict how materials behave in extreme operating conditions.

Ettringite, a mineral found in cement, can latch on to and detain the wily and worrisome radioactive contaminant, pertechnetate.

Magazine cover article—“Combating corrosion in the world’s nuclear reactors”—features PNNL research leaders Mark Nutt, Aaron Diaz, and Mychailo Toloczko.

PNNL’s Steven Spurgeon, a materials scientist, was recently elected leader of the Microscopy Society of America (MSA) aberration-corrected microscopy focused interest group.

Ken Geelhood is a nuclear engineer who is studying how the challenging conditions of a nuclear reactor affect the reliability of fuel.

PNNL data scientists Ján Drgoňa and Draguna Vrabie are working to reduce deployment costs of advanced energy control systems for buildings.

Researchers developed a new tool that combines artificial intelligence and microscopy data to rapidly test new materials for fusion reactor use.

The MIT-sponsored competition encourages community approaches to developing new solutions for analyzing graphs and sparse data; PNNL has placed a winner in each year.