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This illustration demonstrates how atomic configurations with an equiatomic concentration of niobium (Nb), tantalum (Ta) and vanadium (V) can become disordered. The AI model helps researchers identify potential atomic configurations that can be used as shielding for housing fusion applications in a nuclear reactor. Credit: Massimiliano Lupo Pasini/ORNL, U.S. Dept. of Energy

A study led by the Department of Energy’s Oak Ridge National Laboratory details how artificial intelligence researchers created an AI model to help identify new alloys used as shielding for housing fusion applications components in a nuclear reactor. The findings mark a major step towards improving nuclear fusion facilities.

Moe Khaleel, left, associate laboratory director for national security sciences, and Maurice Singleton, chief executive officer of U2opia Technology, celebrate the partnership between Oak Ridge National Laboratory and U2opia Technology. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy

U2opia Technology has licensed Situ and Heartbeat, a package of technologies from the Department of Energy’s Oak Ridge National Laboratory that offer a new method for advanced cybersecurity monitoring in real time. 

Daryl Yang standing on a bridge overlooking a pond covered in water lillies

Daryl Yang is coupling his science and engineering expertise to devise new ways to measure significant changes going on in the Arctic, a region that’s warming nearly four times faster than other parts of the planet. The remote sensing technologies and modeling tools he develops and leverages for the Next-Generation Ecosystem Experiments in the Arctic project, or NGEE Arctic, help improve models of the ecosystem to better inform decision-making as the landscape changes.

Portraits of Kowalski and Salonvaara side by side

Stephen Kowalski and Mikael Salonvaara received the Distinguished Service Award, which salutes members who have served the society with distinction in chapter, regional and society activities.

Wang, Cook and Uddin portraits side by side

Three transportation researchers at the Department of Energy’s Oak Ridge National Laboratory have been elevated to senior member grade of the Institute of Electrical and Electronics Engineers, or IEEE.

Kashif Nawaz standing in front of a two story brick building that houses active research

Kashif Nawaz, distinguished researcher and section head for Building Technologies Research at the Department of Energy’s Oak Ridge National Laboratory, has been named a Fellow of the American Society of Mechanical Engineers, or ASME.

pulsed laser deposition setup

In a game-changing study, ORNL scientists developed a deep learning model — a type of artificial intelligence that mimics human brain function — to analyze high-speed videos of plasma plumes during a process called pulsed laser deposition.

Katy Bradford

Katy Bradford is on a mission to revolutionize the construction industry and is the founder of Cassette Construction, a company in the newest cohort of Innovation Crossroads, a DOE Lab-Embedded Entrepreneurship Program node at ORNL. As an Innovation Crossroads fellow, Bradford and her company will receive technical, financial and networking support to successfully advance the company’s products to the marketplace. 

Researchers from ORNL and Western Michigan University prepare for a Chattanooga-based demonstration of a self-driving car using chip-enabled raised pavement markers for navigation.

ORNL has partnered with Western Michigan University to advance intelligent road infrastructure through the development of new chip-enabled raised pavement markers. These innovative markers transmit lane-keeping information to passing vehicles, enhancing safety and enabling smarter driving in all weather conditions.

ORNL scientists used molecular dynamics simulations, exascale computing, lab testing and analysis to accelerate the development of an energy-saving method to produce nanocellulosic fibers.

A team led by scientists at ORNL identified and demonstrated a method to process a plant-based material called nanocellulose that reduced energy needs by a whopping 21%, using simulations on the lab’s supercomputers and follow-on analysis.