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
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Latest Magazine Issues
May 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
June 2026
Nuclear Technology
Fusion Science and Technology
Latest News
NRC proposes changes to its rules on nuclear materials
In response to Executive Order 14300, “Ordering the Reform of the Nuclear Regulatory Commission,” the NRC is proposing sweeping changes to its rules governing the use of nuclear materials that are widely used in industry, medicine, and research. The changes would amend NRC regulations for the licensing of nuclear byproduct material, some source material, and some special nuclear material.
As published in the May 18 Federal Register, the NRC is seeking public comment on this proposed rule and draft interim guidance until July 2.
R. E. Alcouffe, E. W. Larsen, W. F. Miller, Jr., B. R. Wienke
Nuclear Science and Engineering | Volume 71 | Number 2 | August 1979 | Pages 111-127
Technical Paper | doi.org/10.13182/NSE71-111
Articles are hosted by Taylor and Francis Online.
A study of spatial discretization schemes for the multigroup discrete-ordinates transport equations in slab geometry is described. The purpose of the study is to determine the most computationally efficient method, defined as the one that produces the minimum error for a given cost. We define cost as the total amount of computer time required to complete one inner iteration, given a limit on storage, and we use three error norms to measure the accuracies of edge fluxes, cell average fluxes, and integral parameters. We study three test problems; the first is a model one-group problem we examine in detail, while the second and third are more realistic multigroup problems. Our conclusion is that a new method, labeled linear characteristic, significantly outperforms all other methods that have been implemented up to the present time.