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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.”
Richard A. Riemke
Nuclear Technology | Volume 102 | Number 3 | June 1993 | Pages 416-417
Technical Note | Heat Transfer and Fluid Flow | doi.org/10.13182/NT93-A17039
Articles are hosted by Taylor and Francis Online.
Unal’s subcooled flow boiling bubble model is being used in the best-estimate light water reactor code RELAP5/MOD3. There is a significant discontinuity (by a factor of 2) in the condensation heat transfer coefficient from this model at 1 MPa, which can cause numerical problems in the code. The correlation has been modified (with the approval of Unal) to remove the discontinuity at 1 MPa and to replace it with a form that is continuous to three significant places at 1.1272 MPa.