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.
Jerzy Mackiewicz
Nuclear Science and Engineering | Volume 99 | Number 2 | June 1988 | Pages 99-108
Technical Paper | doi.org/10.13182/NSE88-A23550
Articles are hosted by Taylor and Francis Online.
A new nodal approach for global reactor core calculations is described, in which local weighted residual procedure equations are consistently embedded into a classical nodal scheme without the necessity of a transverse leakage fitting approximation. The equations derived are formulated for arbitrary node geometry and a wide class of base functions. Simplicity and efficiency of the final relations are assured for regularly shaped nodes by means of symmetry considerations. Application to hexagonal geometry of nodes is discussed. Numerical results for few-group steady-state problems in hexagonal geometry prove highly accurate, comparable to analytic codes, and better with respect to computational efficiency.