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NEA panel on AI hosted at World Governments Summit
A panel on the potential of artificial intelligence to accelerate small modular reactors was held at the World Governments Summit (WGS) in February in Dubai, United Arab Emirates. The OECD Nuclear Energy Agency cohosted the event, which attracted leaders from developers, IT companies, regulators, and other experts.
F. Rahnema, G. C. Pomraning
Nuclear Science and Engineering | Volume 77 | Number 4 | April 1981 | Pages 438-443
Technical Paper | doi.org/10.13182/NSE81-A18956
Articles are hosted by Taylor and Francis Online.
It is well known that for a large reactor a diffusion calculation of the system eigenvalue (criticality) is weakly dependent on the linear extrapolation distance γ. We characterize this weak dependence by a smallness parameter ϵ, and show that the complete neglect of γ leads to an error in the computed eigenvalue of the order of ϵ, whereas the use of an extrapolated endpoint introduces an error of the order of ϵ2. An explicit formula, which preserves the ϵ2 error characteristics, is derived which gives an energy independent extrapolated endpoint in terms of the energy-dependent linear extrapolation distance.