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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.”
Ralph G. Bennett
Nuclear Technology | Volume 96 | Number 1 | October 1991 | Pages 117-122
Technical Note | Nuclear Fuel Cycle | doi.org/10.13182/NT91-A35537
Articles are hosted by Taylor and Francis Online.
Finite element modeling of the stresses in TRISO-coated fuel particles under normal operating conditions is undertaken with the ABAQUS code. Accurate results for the coating layer stresses are obtained with 30 finite elements in the model and ∼100 time steps through the life of the fuel. When compared to an earlier General Atomics/Forschungszentrum Jülich (GA/KFA) computer model of fuel performance, several discrepancies are uncovered in the earlier model. The GA/KFA model underpredicts the stresses in the silicon carbide layer, and the discrepancy increases with fission gas pressure.