Feature Stories

A research partnership between two Department of Energy national laboratories has accelerated inspection of additively manufactured nuclear components, and the effort is now expanding to inspect nuclear fuels. Idaho National Laboratory is using a software algorithm developed by Oak Ridge National Laboratory to check for flaws in additively manufactured components as part of the process of identifying promising metals and alloys for 3D printing the next generation of nuclear reactors.

Back in the early days of his college career, Chad Parish realized his curiosity and interests were drawing him to the type of work he performs today in the Low Activation Materials Development and Analysis, or LAMDA, laboratory at the Department of Energy’s Oak Ridge National Laboratory. Using microscopy and microstructural characterization, he reveals the intricate atomic structures of materials essential for developing safer and more economical nuclear reactors. His talents and expertise place him at the center of many collaborations that pertain to materials for extreme environments and national security.

For homeowners, moisture buildup can cause the biggest headaches. Mold grows on drywall and wood-based materials, creeping along walls, floors and ceilings. Building materials begin to erode and rot. As insulation becomes damaged, the home’s energy-efficiency decreases. Even human health suffers, as moisture also leads to air-quality issues.

The key to preventing extensive moisture damage is discovering it early, when it can be easily fixed.

Researchers at the Department of Energy’s Oak Ridge National Laboratory are using microwave radar reflection to nondestructively detect and measure the moisture content of materials within walls without removing drywall or cladding. This also expedites moisture identification and enables mold growth to be treated in the early stages.

 

Throughout the United States, more than 100 million buildings tap into electrical energy to keep heating, ventilation, air conditioning and refrigeration units functioning. HVAC systems cause most of the peak load demand on the electric grid; one way to alleviate the grid burden is to develop new storage options for heating and cooling.

As a partner in the Department of Energy’s Stor4Build Consortium, Oak Ridge National Laboratory is co-leading research with the National Renewable Energy Laboratory, Lawrence Berkeley National Laboratory, Pacific Northwest National Laboratory and the American Council for an Energy-Efficient Economy to develop thermal energy storage as a complement to electrical battery storage. 

At the Department of Energy’s Office of Science, 2024 brought big accomplishments enabled by decades of work as well as advances that are establishing the foundations for future research. From Nobel Prizes to a new exascale computer, the DOE’s Office of Science is leading the way.

UPTON, N.Y. — With one-of-a-kind research facilities leveraged by scientists from across the nation and around the world, the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory is a veritable city of science. Each year brings discoveries, from the scale of subatomic particles to the vastness of Earth’s atmosphere and the cosmos, that have the potential to power new technologies and provide solutions to major societal challenges. Here, the Lab presents, in no particular order, its top 10 discoveries of 2024 … plus a few major Brookhaven Lab milestones.

The Foresight Institute is recognizing Argonne Physicist Saw Wai Hla with the 2024 Feynman Prize for his research on molecular machines and motors, atomically precise rotation of rare-earth complexes and analysis of a single atom with X-rays.

Scientists at the Department of Energy’s Oak Ridge National Laboratory recently demonstrated an autonomous robotic field monitoring, sampling and data-gathering system that could accelerate understanding of interactions among plants, soil and the environment.

Argonne’s student training series, Intro to AI-driven Science on Supercomputers, is preparing a new generation of researchers to harness the power of AI to accelerate scientific discoveries.