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Conference Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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Latest News
Atomic Canyon partners with INL on AI benchmarks
As interest and investment grows around AI applications in nuclear power plants, there remains a gap in standardized benchmarks that can quantitatively compare and measure the quality and reliability of new products.
Nuclear-tailored AI developer Atomic Canyon is moving to fill that gap by entering into a new strategic partnership with Idaho National Laboratory to develop and release the “first comprehensive benchmark suite for evaluating retrieval-augmented generation (RAG) and large language models (LLMs) in nuclear applications.”
Gregory J. Van Tuyle, Michael Todosow, Marcia J. Geiger, Arnold L. Aronson, H. Takahashi
Nuclear Technology | Volume 101 | Number 1 | January 1993 | Pages 1-17
Technical Paper | Waste Management Special / Enrichment and Reprocessing System | doi.org/10.13182/NT93-A34764
Articles are hosted by Taylor and Francis Online.
A means of transmuting key long-lived nuclear wastes, primarily the minor actinides (neptunium, americium, and curium) and iodine, using a hybrid proton accelerator and subcritical lattice, is proposed. By partitioning the components of the light water reactor (LWR) spent fuel and by transmuting key elements, such as the plutonium, the minor actinides, and a few of the long-lived fission products, some of the most significant challenges in building a waste repository can be substantially reduced. The proposed machine, based on the described PHOENIX Concept, would transmute the minor actinides and the iodine produced by 75 LWRs and would generate usable electricity (beyond that required to run the large accelerator) of 850 MW(electric).