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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.”
Kiyomi Funabashi, Koichi Chino, Makoto Kikuchi, Susumu Horiuchi, Hiroyuki Tsuchiya
Nuclear Technology | Volume 96 | Number 2 | November 1991 | Pages 185-191
Technical Paper | Radioactive Waste Management | doi.org/10.13182/NT91-A34604
Articles are hosted by Taylor and Francis Online.
Radioactive waste slurry generated from nuclear power plants is dried and compressed into pellets. These pellets are dropped in a polymer-impregnated concrete (PIC) barrier and solidified with cement-glass, which is a mixture of sodium silicate and cement. The mechanical strength of the PIC barrier is about three times higher than that of ordinary portland cement because of added steel fibers. The leaching ratio from the package is experimentally studied using 14C, 60Co, 85Sr, 99Tc, I25I, and 134Cs. Because of the low porosity of the PIC barrier, the leaching rate is controlled and increases in proportion to immersion time. The maximum leaching ratio from a 200-ℓ package is estimated to be 0.004/yr.