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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.”
L. Väth
Nuclear Technology | Volume 98 | Number 1 | April 1992 | Pages 44-53
Technical Paper | Fast Reactor Safety / Nuclear Reactor Safety | doi.org/10.13182/NT92-A34649
Articles are hosted by Taylor and Francis Online.
The model for transient fission gas behavior in melting and molten fuel contained in the Karlsruhe code LAKU is revised to include the effect of capillary forces, which cause rapid gas bubble coalescence and the formation of big bubbles in the fuel at and beyond the liquidus. Some emphasis is also put on treating the transition from solid to liquid fuel; this is of importance for interpreting the less energetic experiments of the CABRI series and may also have a significant effect for slow transients. The LAKU model is reviewed and recent calculational results are presented.