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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.”
Carmelo Billa, Francesco D’Auria, Giorgio Maria Galassi
Nuclear Technology | Volume 98 | Number 3 | June 1992 | Pages 277-288
Technical Paper | Nuclear Reactor Safety | doi.org/10.13182/NT92-A34659
Articles are hosted by Taylor and Francis Online.
A pressurized water reactor plant scenario is evaluated during a loss of feedwater following multiple failures and operator interventions. For a more realistic analysis, an experiment performed on the SPES facility is taken as a reference. A suitably qualified RELAP5/MOD2 code nodalization was used to evaluate the behavior of the facility under the failure of various systems and the activation of typical accident management recovery procedures.