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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.”
Allen J. Edwards, M. J. Bird, Michael K. Denham
Nuclear Technology | Volume 98 | Number 1 | April 1992 | Pages 70-78
Technical Paper | Fast Reactor Safety / Nuclear Reactor Safety | doi.org/10.13182/NT92-A34651
Articles are hosted by Taylor and Francis Online.
In the Sodium Entry Series (SES) experiments carried out at the Winfrith Technology Centre’s Molten Fuel Test Facility, thermite-generated, molten uranium dioxide is injected into test sections that represent fullscale typical geometries of a fast reactor subassembly. The test sections are initially full of sodium at 500°C. Comparisons with previous studies without sodium show that the molten material progressed for similar distances before freezing. In addition, there is a complete absence of molten fuel/coolant interactions in all the SES experiments. Consequently, it is concluded that the presence of sodium has little influence on the propagation of molten fuel through initially intact subassembly geometries.