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
Jan 2026
Jul 2025
Latest Journal Issues
Nuclear Science and Engineering
February 2026
Nuclear Technology
December 2025
Fusion Science and Technology
November 2025
Latest News
The top 10 states of nuclear
The past few years have seen a concerted effort from many U.S. states to encourage nuclear development. The momentum behind nuclear-friendly policies has grown considerably, with many states repealing moratoriums, courting nuclear developers and suppliers, and in some cases creating advisory groups and road maps to push deployment of new nuclear reactors.
Anil K. Prinja, Patrick F. O’Rourke, Scott D. Ramsey
Nuclear Science and Engineering | Volume 199 | Number 1 | April 2025 | Pages S249-S263
Research Article | doi.org/10.1080/00295639.2024.2340167
Articles are hosted by Taylor and Francis Online.
Neutron chain survival and ultimate divergence in coupled multiplying assemblies, linked by intercepted leaking neutrons, are considered. Nonlinear equations are formulated for the dynamic probability of survival and static probability of initiation (POI) with assembly intercept fractions computed using a view factor model. Numerical solutions are obtained for up to four coupled assemblies, revealing a sensitive dependence on interassembly coupling strength. The results indicate that a chain will not diverge with certainty in a subcritical or critical system but that divergence will occur with some probability POI > 0 that increases with coupling strength. Additionally, at keff = 1, the stable subcritical solution branch is observed to bifurcate into two branches, one of which is shown through linear stability analysis to be unstable.