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.
R. H. Karcher, R. C. Erdmann, O. C. Baldonado
Nuclear Science and Engineering | Volume 31 | Number 3 | March 1968 | Pages 492-499
Technical Paper | doi.org/10.13182/NSE68-A17592
Articles are hosted by Taylor and Francis Online.
The feasibility of track-length distribution biasing for the calculation of spatial and angular particle flux far from the source in an infinite medium is investigated. Calculations are performed for an idealized particle transport model having an exact analytical solution, and results for scalar flux are given to a penetration distance of approximately 60 mean-free-paths. Results are also given for angular distributions. It is found that the “optimum” biasing parameter “a” for scalar flux prediction can be approximated by a exp(−a) = 0.368c n/40 (a revised form of an empirical expression from an earlier study), where c is the probability of scatter and n is the desired penetration distance. If appropriate corrections are made for the effects of inelastic and hydrogen scatter, the present results can provide useful guidance in the application of the track-length distribution biasing technique to more realistic systems.