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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.”
Evgueny P. Shabalin
Nuclear Technology | Volume 99 | Number 3 | September 1992 | Pages 280-288
Technical Paper | Nuclear Reactor Safety | doi.org/10.13182/NT92-A34712
Articles are hosted by Taylor and Francis Online.
Physicists dealing with conventional reactor dynamics recognize two types of instability and reactor behavior beyond the stability region: asymptotic excur sions and nonlinear periodic oscillations. A periodically pulsed reactor (PPR) has another peculiar instability: Under certain conditions, its power tends to oscillate at a frequency just twice less than the reactor pulsation frequency. The PPR dynamics far beyond the stability region are analyzed by using a discrete nonlinear model. A PPR with a negative temperature reactivity effect inevitably shows the chaotic power pulse energy behavior known as “deterministic chaos.” The way by which a reactor goes to chaos is defined by the time de pendence of the feedback and by the kind of dynamics model used. The most usual case is a Feigenbaum transition in which the PPR passes through an infinite cascade of oscillation period doubling before chaotic motion appears. The transition of PPR to random behavior through the Feigenbaum scenario must be considered to be “safe.”