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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.”
Masami Mayuzumi, Takeo Onchi
Nuclear Technology | Volume 93 | Number 3 | March 1991 | Pages 382-388
Technical Paper | Radioactive Waste Management | doi.org/10.13182/NT91-A34532
Articles are hosted by Taylor and Francis Online.
A method is developed to evaluate the maximum allowable temperature and dry storage time of spent fuel under postulated increasing temperature accident conditions, based on creep strain predicted by an empirical creep equation and the creep strain criterion. The creep equation uses the actual stress as the applied stress due to changes in internal rod pressure, fuel rod shape, and volume ratio of free to pellet fuel. It is shown that this method is more realistic and practical than one based on the life fraction rule and the creep rupture criterion. A sensitivity study of the method indicates that the maximum allowable temperature depends on the temperature increase rate, but not the initial normal storage temperature; the allowable storage time, however, depends on both.