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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.

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.

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.

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. 

ORNL’s convergent manufacturing platform, on display at IMTS 2024 in Chicago, Illinois, integrates multiple systems into one.

A new convergent manufacturing platform, developed in only five months at the Department of Energy’s Oak Ridge National Laboratory, is debuting at the International Manufacturing Technology Show, or IMTS, in Chicago, Sept. 9–12, 2024.

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.

Jay Tiley inspects a hydroelectric runner from TVA’s Cherokee Dam

ORNL is working with industry partners to develop a technique that combines 3D printing and conventional machining to produce large metal parts for clean energy applications. The project, known as Rapid Research on Universal Near Net Shape Fabrication Strategies for Expedited Runner Systems, or Rapid RUNNERS, recently received $15 million in funding from DOE. 

Bryan Maldonado

As a mechanical engineer in building envelope materials research at ORNL, Bryan Maldonado sees opportunities to apply his scientific expertise virtually everywhere he goes, from coast to coast. As an expert in understanding how complex systems operate, he’s using machine learning methods to control the process and ultimately optimize performance. 

Infuse logo

ORNL is the lead partner on five research collaborations with private fusion companies in the 2024 cohort of the Innovation Network for FUSion Energy, or INFUSE, program. These collaborative projects are intended to resolve technical hurdles and develop enabling technologies to accelerate fusion energy research in the private sector.

Flexcon Global gathered with ORNL to license two patented inventions

Flexcon Global has exclusively licensed two patented inventions to manufacture a self-healing barrier film from ORNL for research and development purposes. The film can be incorporated into vacuum insulation panels to increase the efficiency of buildings during retrofits. Under a cooperative research and development agreement that began in 2021, Flexcon and ORNL have been exploring the capabilities of the technology and fine-tuning its properties.