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.
Zbigniew Weiss
Nuclear Science and Engineering | Volume 48 | Number 3 | July 1972 | Pages 235-247
Technical Paper | doi.org/10.13182/NSE72-A22482
Articles are hosted by Taylor and Francis Online.
In one-dimensional systems which consist of N nodes, the two N response matrix equations for the partial currents through the node interfaces have been transformed into a set of N three-point equations with the total in-current per node as the new variable. The resulting coefficients which describe the coupling between neighboring nodes are expressed in terms of the reflection and transmission matrices of the invariant imbedding theory. These coupling coefficients can be compared with those of other nodal equations. In the case of slab geometry this has been illustrated by a direct comparison with the familiar finite difference formulation with the average flux per node as the dependent variable. Also the relation between the method presented here and the so-called rigorous finite difference equations has been established. The advantage of this method lies in the fact that the flexibility of the response matrix methods—which describe the nodes in terms of invariant imbedding concepts—has been condensed into the conventional three-point finite difference scheme, for which many well-established solution methods exist.