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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.
F. Castiglia, E. Oliveri
Nuclear Science and Engineering | Volume 86 | Number 3 | March 1984 | Pages 297-301
Technical Paper | doi.org/10.13182/NSE84-A17558
Articles are hosted by Taylor and Francis Online.
In photon transport calculations by a Monte Carlo method, the solution of the inverse Klein-Nishina cumulative distribution function for random selection of a photon energy upon Compton scattering is not practical; moreover, Koblinger's procedure cannot be applied for incoming photon energies less than . In this case the sampling rejection methods (SRMs), especially the nonuniform ones, represent a good alternative. A number of SRMs for the Klein-Nishina probability density function are presented; some of the methods have very high selection efficiencies. These techniques are tested within the bounds of computer time required for a successful selection. At least one of them is appreciably advantageous over those previously proposed.