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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.
R. L. Perel, J.J. Wagschal
Nuclear Science and Engineering | Volume 94 | Number 4 | December 1986 | Pages 409-412
Technical Note | doi.org/10.13182/NSE94-409
Articles are hosted by Taylor and Francis Online.
Algorithms for computing various eigenvalues of the transport equation can be classified as direct and indirect. The latter computes the eigenvalue by an iterative search on another, generalized, eigenvalue. Direct computation is shown to be a special case of indirect computation. As a result of this analysis, a new “modified direct” algorithm was defined. The new algorithm also works in cases when the direct algorithm fails and it shows generally fast convergence. The proposed algorithm is applicable even to nonfissionable systems where the classical indirect approach via the k eigenvalue is possible only after an artificial “juggling” of cross sections.