ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
Latest Magazine Issues
Oct 2025
Jul 2025
Latest Journal Issues
Nuclear Science and Engineering
November 2025
Nuclear Technology
Fusion Science and Technology
October 2025
Latest News
Amazon provides update on its Washington project with X-energy
A year ago this month, Amazon led a $500 million investment in X-energy, alongside Citadel founder Ken Griffin, the University of Michigan, and other investors. In addition to that financing, Amazon pledged to support the development of an initial four-unit, 320-MW project with Energy Northwest in Washington state.
N. J. McCormick, M. R. Mendelson
Nuclear Science and Engineering | Volume 20 | Number 4 | December 1964 | Pages 462-467
Technical Paper | doi.org/10.13182/NSE64-A20988
Articles are hosted by Taylor and Francis Online.
Case's method of normal mode expansion is applied to the slab albedo problem, i.e., the problem of finding the angular density in a bare slab with neutrons incident upon one face. The problem is reduced to determining expansion coefficients which are shown to depend upon the solution of two nonhomogeneous Fredholm integral equations. Using Neumann iteration to solve for the coefficients, we obtain explicit solutions for the angular density, scalar density, and net current in zeroth- and first-order approximations.