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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.”
Nae-Hyun Kim, Sang Keun Lee, Kap Suk Moon
Nuclear Technology | Volume 98 | Number 3 | June 1992 | Pages 349-353
Technical Paper | Heat Transfer and Fluid Flow | doi.org/10.13182/NT92-A34664
Articles are hosted by Taylor and Francis Online.
A simple rational-based model is developed to predict the pressure loss of a pressurized water reactor-type nonmixing vaned spacer grid. The total pressure loss is obtained by adding the form and friction losses. Elementary fluid-mechanical correlations are used to model each loss. The model reasonably predicts the available spacer grid loss data.