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
Apr 2026
Jan 2026
Latest Journal Issues
Nuclear Science and Engineering
June 2026
Nuclear Technology
March 2026
Fusion Science and Technology
May 2026
Latest News
DOE selects first companies for nuclear launch pad
The Department of Energy’s Office of Nuclear Energy and the National Reactor Innovation Center have announced their first selections for the Nuclear Energy Launch Pad: three companies developing microreactors and one developing fuel supply.
The four companies—Deployable Energy, General Matter, NuCube Energy, and Radiant Industries—were selected from the initial pool of Reactor Pilot Program and Fuel Line Pilot Program applicants, the two precursor programs to the launch pad.
T. Lefvert
Nuclear Science and Engineering | Volume 42 | Number 3 | December 1970 | Pages 267-271
Technical Paper | doi.org/10.13182/NSE70-A21216
Articles are hosted by Taylor and Francis Online.
A multigroup, collision-probability, order-of-scattering approach is made to the slowing down solution of the neutron transport equation in a heterogeneous, non-multiplying medium with sources. Introducing first-collision probabilities in the Liouville-Neumann series solution of the neutron flux, the series may be summed and a transport matrix defined. If a flat source distribution in the region is assumed, this matrix is typical of the medium and of the geometrical configuration only and links, in an explicit way, sources and resultant fluxes. In a multiplying system without external sources it is also possible to use the above transport model when determining the effective neutron multiplication factor by the fission probability matrix method.