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Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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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.”
Heinrich R. Obermoller, David A. White
Nuclear Technology | Volume 96 | Number 3 | December 1991 | Pages 337-345
Technical Paper | Enrichment and Reprocessing System | doi.org/10.13182/NT91-A34594
Articles are hosted by Taylor and Francis Online.
A simple model based on a stage concept that can be used to predict the effects of operating variables on the separation of isotopes by chemical exchange is described. The particular application studied is chemical exchange of uranium isotopes in an ion exchange column that has NT total theoretical stages. Other important operating parameters are the number of stages in the exchange band Ns and the chemical exchange equilibrium constant ∈. A model of the process is developed and simulated by a computer program. The results are correlated to give simple expressions based on the assumption that one-half of the band that emerges from the column is taken as enriched feed with a concentration y. For small values of ∈, the optimum value of Ns is given by 1.313 and y = x0(1 + 0.551∈), where x0 is the feed concentration.
