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Conference Spotlight
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.”
Alireza Haghighat, Ramana Veerasingam
Nuclear Technology | Volume 101 | Number 2 | February 1993 | Pages 237-243
Technical Note | Material | doi.org/10.13182/NT93-A34785
Articles are hosted by Taylor and Francis Online.
Several neutron cross-section libraries used for fluence calculations at the reactor pressure vessel (RPV) based on one-dimensional SN transport calculations are analyzed. It is demonstrated that the BUGLE-80, SAILOR, and ELXSIR libraries yield similar results, while the CASK library predicts significantly different results through and beyond the RPV. The use of the revised ENDF/B- V iron cross sections yields a significant increase in the neutron fluxes beyond the ironcontaining regions. This result has direct impact on the reactor cavity dosimetry that is being considered for the RPV fluence estimation.