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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.”
Tetsuo Tamaoki, Takuhiko Sakai, Hiroshi Endo, Kazuo Haga, Ryoichi Takahashi
Nuclear Technology | Volume 99 | Number 1 | July 1992 | Pages 58-69
Technical Paper | Nuclear Fuel Cycle | doi.org/10.13182/NT92-A34703
Articles are hosted by Taylor and Francis Online.
Delayed neutron noise measurements were carried out in an in-pile sodium loop, the Fission Product Loop 2 (FPL-2), installed on the Toshiba Training Reactor I. To clarify the characteristics and origin of delayed neutron count rate noise, a noise propagation mechanism was identified using a multivariate autoregressive model. The results show that a simulated fuel failure in the FPL-2, with recoil as the principal fission product release phenomena, produces a white spectrum of delayed neutron count rate noise. It was also found that the loop temperature fluctuation strongly affects the delayed neutron count rate noise at temperatures below 300°C, through the deposition of fission products on the surface of structures. These results provide useful information for the development of an early fuel failure detection method based on the delayed neutron signal.
