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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.”
Masahiro Nabeshima
Nuclear Technology | Volume 95 | Number 1 | July 1991 | Pages 33-43
Technical Paper | Enrichment and Reprocessing | doi.org/10.13182/NT91-A34565
Articles are hosted by Taylor and Francis Online.
Proposed empirical correlations of the extractive distribution and overall mass transfer coefficients in the Purex H2O-HNO3-U(VI)-30% tri-n-butylphosphate/dodecane liquid system are compared with experimental data. The roles of eddy diffusion and interphase chemical reactions in the transfer kinetics are discussed. These equations are incorporated into the DYNAC computer model and applied to the analysis of a plantsized pulsed-column connection. The predicted profiles of the uranium concentration and the temperature are in good agreement with the experimental data under steady-state and transient operating conditions. Hence, the kinetic correlations have proven useful in expressing the chemical and diffusional nature of solute transfer.
