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.
H. Hurwitz, Jr., D. B. MacMillan, J. H. Smith, M. L. Storm
Nuclear Science and Engineering | Volume 15 | Number 2 | February 1963 | Pages 166-186
Technical Paper | doi.org/10.13182/NSE63-3
Articles are hosted by Taylor and Francis Online.
In Part I, statistical fluctuations of neutron populations in reactors are analyzed by means of an appropriate theoretical model which assumes zero neutron lifetime and one group of delayed neutrons. A computational technique is developed which employs the method of characteristics to calculate probability generating functions, thereby making possible the computation of the probability distribution of power during startup of a reactor with low source. Extensive numerical results are given for such computations for a wide range of source strengths and ramp reactivity insertion rates. The special relationships of fluctuations to safety considerations are discussed. Finally, the predictions of the model are compared with Godiva weak source transient data, and empirical criteria for conservative normalization of the model are presented.