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.
D. Stefanović
Nuclear Science and Engineering | Volume 59 | Number 2 | February 1976 | Pages 194-198
Technical Note | doi.org/10.13182/NSE76-A15690
Articles are hosted by Taylor and Francis Online.
The problem of neutron slowing down in an infinite medium with energy-dependent anisotropy of elastic scattering has been discussed. The scattering function, P(u′, Δu), is redefined and expanded in terms of Legendre polynomials and the energy-dependent coefficients of the expansion are determined; in this expansion of P(u′, Δu) it is possible to carry out matrix degeneration of the kernel of the slowing-down equation; the matrix separable kernel allows the transformation of the integral equation into a differential equation in terms of Green's slowing-down functions. In some cases it is possible to obtain analytically the Green's slowing-down functions. In general, these functions are determined by standard numerical methods for solving sets of differential equations.