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NN Asks: Is the U.S. ready for nuclear construction to accelerate?
Craig Stover
Yes, but . . .
The United States is better positioned today for nuclear construction than it has been in decades. Some of that comes from the experience gained at Vogtle and V.C. Summer. I was part of the team that helped start the V.C. Summer project in 2008, and at that time we were trying to build a nuclear construction workforce from scratch. We learned a lot through that effort, and many of those lessons learned have since been studied, documented, and shared.
The nuclear industry is also benefiting from the wave of investment that started growing around 2020. Over the last five or six years, there has been a serious effort across the country to get ready for new nuclear builds. The U.S. government and the private sector are investing billions of dollars in new nuclear. Much of that work is happening before widespread commercial deployment contracts are signed. This is real, and we need to prepare.
R. M. Ferrer, Y. Y. Azmy
Nuclear Science and Engineering | Volume 162 | Number 3 | July 2009 | Pages 215-233
Technical Paper | doi.org/10.13182/NSE162-215
Articles are hosted by Taylor and Francis Online.
An error analysis is performed for the nodal integral method (NIM) applied to the one-speed, steady-state neutron diffusion equation in two-dimensional Cartesian geometry. The geometric configuration of the problem employed in the analysis consists of a homogeneous-material unit square with Dirichlet boundary conditions on all four sides. The NIM equations comprise three sets of equations: (a) one neutron balance equation per computational cell, (b) one current continuity condition per internal x = const computational cell edge, and (c) one current continuity condition per internal y = const computational cell edge. A Maximum Principle is proved for the solution of the NIM equations, followed by an error analysis achieved by applying the Maximum Principle to a carefully constructed mesh function driven by the truncation error or residual. The error analysis establishes the convergence of the NIM solution to the exact solution if the latter is twice differentiable. Furthermore, if the exact solution is four times differentiable, the NIM solution error is bounded by an O(a2) expression involving bounds on the exact solution's fourth partial derivatives, where a is half the scaled length of a computational cell. Numerical experiments are presented whose results successfully verify the conclusions of the error analysis.