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.
T. J. Downar
Nuclear Science and Engineering | Volume 115 | Number 4 | December 1993 | Pages 334-340
Technical Note | doi.org/10.13182/NSE93-A24063
Articles are hosted by Taylor and Francis Online.
Depletion perturbation theory was developed within the framework of an advanced hexagonal nodal diffusion method. A similarity transformation method was used to compute the mathematical generalized adjointsfrom the corresponding physical system because it was more convenient to utilize the numerical algorithms and codes developed for solving the real system equations. The methods were implemented using the DIF3D code for the flux solutions and were applied to a sample problem using a hexagonal geometry lattice. In all cases, there was good agreement between the results of direct subtraction and the depletion sensitivities. This work indicates it is feasible to generate depletion sensitivities within the framework of advanced nodal diffusion methods.