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GAIN vouchers go to Constellation, Nano Nuclear, and NuCube
The Department of Energy’s Gateway for Accelerated Innovation in Nuclear (GAIN) has awarded three fiscal year 2026 vouchers to support the development of advanced nuclear technologies. Each company will get access to specific capabilities and expertise in the DOE’s national laboratory complex—in this round of awards both Oak Ridge National Laboratory and Argonne National Laboratory are named—and will be responsible for a minimum 20 percent cost share, which can be an in-kind contribution.
Richard Vasques, Kai Krycki, Rachel N. Slaybaugh
Nuclear Science and Engineering | Volume 185 | Number 1 | January 2017 | Pages 78-106
Technical Paper | doi.org/10.13182/NSE16-35
Articles are hosted by Taylor and Francis Online.
We investigate the accuracy of the recently proposed nonclassical transport equation. This equation contains an extra independent variable compared to the classical transport equation (the path length s), and models particle transport in homogenized random media in which the distance to collision of a particle is not exponentially distributed. To solve the nonclassical equation, one needs to know the s-dependent ensemble-averaged total cross section Σt(μ, s) or its corresponding path-length distribution function p(μ, s). We consider a one-dimensional (1-D) spatially periodic system consisting of alternating solid and void layers, randomly placed along the x-axis. We obtain an analytical expression for p(μ, s) and use this result to compute the corresponding Σt(μ, s). Then, we proceed to solve numerically the nonclassical equation for different test problems in rod geometry; that is, particles can move only in the directions μ = ±1. To assess the accuracy of these solutions, we produce benchmark results obtained by (i) generating a large number of physical realizations of the system, (ii) numerically solving the transport equation in each realization, and (iii) ensemble-averaging the solutions over all physical realizations. We show that the numerical results validate the nonclassical model; the solutions obtained with the nonclassical equation accurately estimate the ensemble-averaged scalar flux in this 1-D random periodic system, greatly outperforming the widely used atomic mix model in most problems.