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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.”
Kenzo Munakata, Masahiro Nabeshima
Nuclear Technology | Volume 96 | Number 1 | October 1991 | Pages 84-95
Technical Paper | Enrichment and Reprocessing System | doi.org/10.13182/NT91-A35535
Articles are hosted by Taylor and Francis Online.
The behavior of U(IV) in pulsed columns during off-standard operation is studied. The effects of disturbances on the behavior of U(IV) and U(VI) are tested using extraction equipment. The experimental results show that disturbances induce a marked accumulation of U(IV). Furthermore, simulations are carried out with the DYNAC numerical calculation model. For U(VI) and nitric acid concentration, the simulated values are in good agreement with experimental values. There is, however, a tendency to underestimate the concentration of U(IV) in the organic phase when U(IV) distribution correlations based on available data are used. Temperature profiles are also predicted, and the estimated values agree well with the measured values. Therefore, it is confirmed that DYNAC is applicable to heat balance calculation.