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Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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Work advances on X-energy’s TRISO fuel fabrication facility
Small modular reactor developer X-energy, together with its fuel-developing subsidiary TRISO-X, has selected Clark Construction Group to finish the building construction phase of its advanced nuclear fuel fabrication facility, known as TX-1, in Oak Ridge, Tenn. It will be the first of two Oak Ridge facilities built to manufacture the company’s TRISO fuel for use in its Xe-100 SMR. The initial deployment of the Xe-100 will be at Dow Chemical Company’s UCC Seadrift Operations manufacturing site on Texas’s Gulf Coast.
David A. Sargis and Lawrence M. Grossman
Nuclear Science and Engineering | Volume 25 | Number 4 | August 1966 | Pages 395-406
Technical Paper | doi.org/10.13182/NSE66-A18560
Articles are hosted by Taylor and Francis Online.
The technique usually employed to estimate errors in approximation schemes for neutron physics problems is simply to compare the results with higher order approximations or purely numerical results, or with available experimental measurements. In this paper, an analytic error-estimating technique is developed for deriving error bounds for approximate eigenvalues, which depends only on the proximity of the exact and approximate eigenvalues and not on higher order approximations. An integral equation formulation is employed in developing the error estimating method, but the form of the integral equation kernel is not restricted, so that broad classes of integral equations may be treated. By means of the Green's function, differential-equation eigenvalue problems may also be handled. To illustrate the error estimating method, the space decay constant eigenvalue problem of neutron thermalization theory is discussed. Error bounds are developed for the space decay constant eigenvalues in both the Wilkins heavy-gas differential equation and Wigner-Wilkins integral-equation scattering models. The results obtained indicate that rigorous error estimates can be obtained with little computational effort.