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
Feb 2026
Jul 2025
Latest Journal Issues
Nuclear Science and Engineering
February 2026
Nuclear Technology
January 2026
Fusion Science and Technology
Latest News
DOE, General Matter team up for new fuel mission at Hanford
The Department of Energy's Office of Environmental Management (EM) on Tuesday announced a partnership with California-based nuclear fuel company General Matter for the potential use of the long-idle Fuels and Materials Examination Facility (FMEF) at the Hanford Site in Washington state.
According to the announcement, the DOE and General Matter have signed a lease to explore the FMEF's potential to be used for advanced nuclear fuel cycle technologies and materials, in part to help satisfy the predicted future requirements of artificial intelligence.
Paul Nelson, Harold D. Meyer
Nuclear Science and Engineering | Volume 64 | Number 2 | October 1977 | Pages 638-643
Technical Paper | doi.org/10.13182/NSE77-A27396
Articles are hosted by Taylor and Francis Online.
The problem considered in this paper is the continuous-energy, continuous-space time-independent neutron-diffusion equation, with given source and zero flux at the boundary. The basic result is that Galerkin-type spectral synthesis approximations converge optimally to the exact solution as the number of trial spectra increases, provided the diffusion coefficient and total macroscopic cross section are spatially homogeneous, and other (more) reasonable conditions of a technical nature are satisfied. The proof makes use of the general results of Pol'skii, which give sufficient conditions for the convergence of any projection method using the same trial and test spaces. As an application of the basic result, it is shown that the classic multigroup method converges optimally provided the maximum group width over any fixed bounded energy interval approaches zero. Several directions are indicated for possible related future work.