Katy Bradford: Cassette approach offers compelling construction solution
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.
A new technical collaboration program at the Department of Energy’s Oak Ridge National Laboratory will help businesses develop and launch electric grid innovations. Sponsored by the Transformer Resilience and Advanced Components program in DOE’s Office of Electricity, the initiative will provide companies with access to national laboratory resources, enabling them to capture market opportunities.
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, 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.
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 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.
For the first time, ORNL will run equipment developed at its research facilities on a commercially available quantum network at EPB Quantum Network powered by Qubitekk to help validate the technology's commercial viability.
Researchers at the Department of Energy’s Oak Ridge National Laboratory have found a chemical “chameleon” that could improve the process used to purify rare-earth metals used in clean energy, medical and national security applications.
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.
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.