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 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
Latest Magazine Issues
Aug 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
October 2026
Nuclear Technology
September 2026
Fusion Science and Technology
August 2026
Latest News
Front-end nuclear fuel supply cooperation: Turning allied interdependence into strategic advantage
The global nuclear revival, which is fueled by unprecedented demand for firm, affordable, dispatchable power for artificial intelligence and data center build-out, energy security imperatives, and climate commitments, has exposed a structural reality of the Western fuel cycle: No single allied nation currently possesses the full suite of front-end capabilities. From mining through conversion, enrichment, fabrication, and the emerging deconversion and metallization steps required for reactor fuels, capability is distributed across Canada, France, Japan, the United Kingdom, and the United States (collectively, the “Sapporo Five”), as well as a small group of close partners.
M. N. Moore
Nuclear Science and Engineering | Volume 6 | Number 5 | November 1959 | Pages 448-452
Technical Paper | doi.org/10.13182/NSE59-A25684
Articles are hosted by Taylor and Francis Online.
A formalism is developed to calculate the power noise transfer function for any kinetic model under the assumption that noise may originate in any or all loops of the system. Reactor kinetic equations are generalized to the macrostochastic equations satisfied by the pile noise. From these, the differential equations of the various correlation functions are determined and solved for the noise spectra. The case of a single feedback, one-delay group model is treated in detail.