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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.”
Masahiro Nabeshima
Nuclear Technology | Volume 95 | Number 2 | August 1991 | Pages 207-218
Technical Paper | Environment and Reprocessing System | doi.org/10.13182/NT91-A34557
Articles are hosted by Taylor and Francis Online.
Experimental data acquired from cylindrical and annular pulsed columns equipped with either conventional sieves or baffle plates are well reproduced by the DYNAC computer model during steady-state and transient operation, even under off-normal conditions. This confirms that the model is useful in the design of pulsed columns with various geometries as well as in the estimation of extractor performance. The inherent differences between pulsed columns and mixer-settlers are also discussed for the plutonium separation process. Intrastage liquid mixing causes marked hydrodynamic tailing of solutes because of the difference in the mixing mechanisms and the residence time distributions of the fluids.