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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.”
Toru Hiraoka, Kiyoshi Sako, Hideki Takano, Takeshi Ishii, Mitsuru Sato
Nuclear Technology | Volume 93 | Number 3 | March 1991 | Pages 305-329
Technical Paper | Fission Reactor | doi.org/10.13182/NT91-A34526
Articles are hosted by Taylor and Francis Online.
A high-breeding fast reactor with fission product gas purge/tube-in-shell metallic fuel assemblies is proposed. Its reactor doubling time is <10 yr because fast reactors must have economical fuel breeding as well as economical electricity generation. The core has a high volume fraction of fuel (>50%) and realizes a very hard neutron spectrum. Thus, a fast-breeding 670-MW(electric) reactor with a high breeding ratio (1.84) and a short reactor doubling time (6.7 yr) is proposed. The structure of the fuel assembly, its fabrication, and the fission product gas purging mechanism are assessed and the new fuel assembly concept is determined to be feasible. Purging of the fission product gas does not affect the shielding requirement and can be managed by a small-scale cover gas treatment system because of the good fission product retention characteristics of the sodium in the fuel assemblies. The entire reactor configuration, including the intermediate heat exchangers, was assessed utilizing conventional reactor components.