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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 93 | Number 3 | March 1991 | Pages 362-374
Technical Paper | Enrichment and Reprocessing System | doi.org/10.13182/NT91-A34530
Articles are hosted by Taylor and Francis Online.
The hydrodynamic characteristics of pulsed columns fitted with perforated sieve or baffle-plate internals are investigated experimentally using a Purex H2O-HNO3-U(VI)-30% tri-n-butylphosphate/dodecane liquid system. A set of semiempirical equations for axial mixing, mean diameter, and settling velocity of the droplets is derived from the experimental results and incorporated into the DYNAC computer simulation program to predict fluid flow behavior in pulsed columns. Various hydrodynamic parameters are studied in detail, and the code is demonstrated to be satisfactory in analyzing the residence behavior of fluids and the extractive mass transfer of uranium in normal and transient operations.