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.
M. Natelson
Nuclear Science and Engineering | Volume 43 | Number 2 | February 1971 | Pages 131-144
Technical Paper | doi.org/10.13182/NSE71-A21261
Articles are hosted by Taylor and Francis Online.
The derivation of discrete ordinate and discrete ordinate-like approximations from variational principles for the one-speed transport equation is explored here. Standard discrete ordinate approximations are derived from a first-order stationary variational principle. The derivation yields a prescription for ordinates to be used given a selection of weights. Resultant quadrature schemes are compared numerically with those in common use. These new schemes derived using the weights of SN quadratures do not show significant variations in performance from the parent SN schemes. In the second portion of the paper, a new “modified” discrete ordinate approximation, MDN, is found by applying the same techniques as in the derivation of the standard approximation, this time, however, using an extremum second-order variational principle. The new approximation is compared through several numerical examples with standard discrete ordinate, simplified PN, and standard PN approximations. The MDN results do show a mitigation of the ray effects associated with standard discrete ordinate calculations (DN), but for gross region-wise absorption rates its accuracy for low orders is more like that of simplified PN rather than of PN or DN approximations. It is concluded that a low-order MDN approximation should not be a candidate to replace diffusion theory. The approximation may, however, have some application as a calculational standard.