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Conference Spotlight
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.”
Imtiaz K. Madni, Xiao-Dong Guo
Nuclear Technology | Volume 99 | Number 2 | August 1992 | Pages 203-212
Technical Paper | Nuclear Reactor Safety | doi.org/10.13182/NT92-A34690
Articles are hosted by Taylor and Francis Online.
The MELCOR computer code has been used to simulate the National Research Universal full-length high-temperature 2 (FLHT-2) test. Input data for the analysis were obtained from the FLHT-2 test Data Report and from SCDAP input. Results are presented for the transient liquid level in the test bundle, heat transfer to the bypass flow, cladding and shroud temperatures, and hydrogen generation. Comparisons are made with experimental data and with SCDAP calculations. Several sensitivity calculations with MELCOR, which explore the impact of varying user-input modeling and time-step control parameters on the predicted behavior, were also carried out.