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Conference Spotlight
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.”
Prakash B. Chaudhary, Manohar G. Bhide
Nuclear Technology | Volume 98 | Number 2 | May 1992 | Pages 242-244
Technical Note | Nuclear Fuel Cycle | doi.org/10.13182/NT92-A34680
Articles are hosted by Taylor and Francis Online.
It was earlier shown theoretically that the radioactivity released by spent-fuel elements into storage pool water is predominantly carried by positive ions. A new decontamination method is described in which freshly contaminated metallic surfaces are decontaminated electrochemically, resulting in smooth, shiny surfaces. This method, which uses current densities of ∼15 μ A/cm1, is quantitatively and qualitatively different from earlier electrochemical procedures, where higher current densities of the order of milliamperes per square centimetre or even amperes per square centimetre were used.