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In a bold step toward transforming how nuclear infrastructure is built, the Department of Energy’s Manufacturing Demonstration Facility at Oak Ridge National Laboratory, in partnership with Kairos Power, has successfully developed and validated large-scale, 3D-printed polymer composite forms for casting complex, high-precision concrete structures that would be technically challenging and costly to produce using conventional methods. 

The Department of Energy’s Oak Ridge National Laboratory and artificial intelligence company Atomic Canyon signed a memorandum of understanding to streamline the licensing process for nuclear power plants with artificial intelligence for license application reviews.

Six entrepreneurs comprise the next cohort of Innovation Crossroads, a DOE Lab-Embedded Entrepreneurship Program node based at ORNL. The program provides energy-related startup founders from across the nation with access to ORNL’s unique scientific resources and capabilities, as well as connect them with experts, mentors and networks to accelerate their efforts to take their world-changing ideas to the marketplace.

United Rare Earths has licensed two innovative technologies from Oak Ridge National Laboratory aimed at reducing dependence on critical rare earth elements.

From decoding plant genomes to modeling microbial behavior, computational biologist Priya Ranjan builds computational tools that turn extensive biological datasets into real-world insights. These tools transform the way scientists ask and answer complex biological questions that advance biotechnology breakthroughs and support cultivation of better crops for energy and food security. 

Scientists have developed a new machine learning approach that accurately predicted critical and difficult-to-compute properties of molten salts, materials with diverse nuclear energy applications. 

The Heartbeat Detector, developed at ORNL and licensed by Geovox Security Inc., detects hidden individuals in vehicles by measuring suspension vibrations. Now using a compact black box and cloud software, the system is more affordable and easier to use, while remaining the industry standard worldwide.

Analyzing massive datasets from nuclear physics experiments can take hours or days to process, but researchers are working to radically reduce that time to mere seconds using special software being developed at the Department of Energy’s Lawrence Berkeley and Oak Ridge national laboratories.  

Researchers at Oak Ridge National Laboratory have developed a modeling method that uses machine learning to accurately simulate electric grid behavior while protecting proprietary equipment details. The approach overcomes a key barrier to accurate grid modeling, helping utilities plan for future demand and prevent blackouts. 

 

Inspired by a visit to ORNL’s Manufacturing Demonstration Facility, Jonaaron Jones launched a career in additive manufacturing that led to founding Volunteer Aerospace and now leading Beehive Industries’ external parts business. Through close collaboration with MDF, Jones has helped drive Â鶹ӰÒô in defense, aviation and energy, while growing high-tech jobs and strengthening the U.S. manufacturing base.