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.
Yung-An Chao, Chuan-Wen Hu, Chang-An Suo
Nuclear Science and Engineering | Volume 93 | Number 1 | May 1986 | Pages 78-87
Technical Paper | doi.org/10.13182/NSE83-A17419
Articles are hosted by Taylor and Francis Online.
Diffusion equations are generally solved forwardly, namely, for a given core loading condition one solves for the flux and power distribution. For fuel management applications, a theory of backward diffusion calculation is developed which for a given power distribution solves the diffusion equation backwardly for the core reactivity distribution. Loading pattern searches can be facilitated by matching the available fuel assemblies to the reactivity distribution predicted backwardly from the desired power distribution. Optimization of fuel utilization can also be performed by determining the optimum power shape, under imposed constraints, that gives a reactivity distribution requiring the least fuel loading.