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
2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
Latest Magazine Issues
Sep 2025
Jan 2025
Latest Journal Issues
Nuclear Science and Engineering
October 2025
Nuclear Technology
September 2025
Fusion Science and Technology
Latest News
NNSA awards BWXT $1.5B defense fuels contract
The Department of Energy’s National Nuclear Security Administration has awarded BWX Technologies a contract valued at $1.5 billion to build a Domestic Uranium Enrichment Centrifuge Experiment (DUECE) pilot plant in Tennessee in support of the administration’s efforts to build out a domestic supply of unobligated enriched uranium for defense-related nuclear fuel.
G. C. Pomraning
Nuclear Science and Engineering | Volume 108 | Number 4 | August 1991 | Pages 325-330
Technical Paper | doi.org/10.13182/NSE91-A23831
Articles are hosted by Taylor and Francis Online.
Within the context of one-group diffusion theory, we discuss the effect of randomness (stochasticity) on the criticality of a bare nuclear reactor. Previous authors have concluded that randomness decreases the critical size for a given amount of fuel, and that such randomness, when in-troduced into a homogeneous critical reactor, leads most probably to a supercritical state. By considering a sufficiently simple stochastic problem so that exact results can be obtained, we judge these prior conclusions to be only partially correct. We show that the effect of randomness on a criticality problem depends on both the nature of the randomness and the ensemble-averaging procedure and interpretation used to describe the reactor in the stochastic setting.