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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.”
Akio Yamamoto
Nuclear Science and Engineering | Volume 172 | Number 3 | November 2012 | Pages 259-267
Technical Paper | doi.org/10.13182/NSE11-88
Articles are hosted by Taylor and Francis Online.
An approach incorporating the discontinuity factor in transport calculations based on the integrodifferential transport equation, e.g., the discrete ordinates method, the method of characteristics, and the Monte Carlo method, is proposed. In the present approach, the effect of the discontinuity factor is incorporated by correcting cross sections (absorption, production, and scattering cross sections are divided by the discontinuity factor), and the anisotropic scattering cross sections of odd order are corrected with the discontinuity factor and the total cross section. The validity of the present method is confirmed through simple benchmark calculations using the method of characteristics. The present method would be a candidate for a mitigation method for errors associated with approximations, e.g., energy condensation, spatial homogenization, or coarse discretization, in transport calculations.