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.
Arthur Shieh, Richard Riemke
Nuclear Science and Engineering | Volume 105 | Number 4 | August 1990 | Pages 404-408
Technical Paper | doi.org/10.13182/NSE90-A21474
Articles are hosted by Taylor and Francis Online.
The RELAP5 transient thermal-hydraulic code is a widely accepted analysis tool for light water nuclear reactor safety studies. There are several matrix solvers in the code that can consume a significant portion of run time. Enhancing the diagonal dominance of the coefficient matrix used in the matrix solver for the nearly implicit method can significantly improve the code performance. Three numerical schemes are presented for enhancing the diagonal dominance of the coefficient matrix, and it is shown that for all three schemes the same solution strategy can be repeated from one time level to another. These schemes, therefore, give grind times that can be considerably smaller than the scheme originally used in the code. Numerical results confirm the findings.