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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.”
B. K. Kamboj, S. M. Ghiaasiaan, and, S. I. Abdel-Khalik
Nuclear Technology | Volume 100 | Number 3 | December 1992 | Pages 347-360
Technical Paper | Heat Transfer and Fluid Flow | doi.org/10.13182/NT92-A34730
Articles are hosted by Taylor and Francis Online.
A phenomenological model is developed for the thermal-hydraulic processes on the secondary side of a once-through steam generator during auxiliary feedwater injection. Based on experimental observations, the flow of auxiliary feedwater in the secondary side is modeled as a turbulent falling film on the tubes, in direct contact with a countercurrent flow of steam, that receives heat from the primary side. Conservation equations for the falling film and steam on the secondary side, and for the primary-side coolant, are derived. Boiling in the falling film, evaporation and/or condensation at the falling film-gas interphase, and countercurrent flow limitation in the tube support plate passages are modeled. Numerical solution of the conservation equations provide the axial variation of flow rates and temperatures in the primary and secondary sides. Model predictions are successfully compared with the available experimental data.