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 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Latest Magazine Issues
May 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
June 2026
Nuclear Technology
Fusion Science and Technology
Latest News
ADP on track to complete major D&D work at Crystal River-3 this summer
Advanced Decommissioning Partners, a joint venture of NorthStar Group Services and Orano USA, is set to complete major decommissioning activities at Crystal River-3 nuclear power plant in Florida this summer, according to the license termination plan (LTP) the company submitted to the Nuclear Regulatory Commission.
Matthew R. Balcer, Harry Millwater, Jeffrey A. Favorite
Nuclear Science and Engineering | Volume 195 | Number 9 | September 2021 | Pages 907-936
Technical Paper | doi.org/10.1080/00295639.2021.1883949
Articles are hosted by Taylor and Francis Online.
The multidual differentiation method has been implemented in a ray-tracing transport simulation for the purpose of calculating arbitrary-order sensitivities of the uncollided particle leakage. This method extends dual number differentiation by perturbing variables along multiple nonreal axes to calculate arbitrary-order derivatives. Numerical results of first-through third-order multidual sensitivities of the uncollided particle leakage with respect to isotope densities, microscopic cross sections, source emission rates, and material interface locations (including the outer boundary) are shown for a two-region sphere. The relative error of first and second partial derivatives with respect to isotopic parameters and first partial derivatives of the leakage with respect to interface locations are within 9.8E−10% of existing adjoint-based sensitivities. Higher-order multidual-based derivatives that are not available with the adjoint method are in excellent agreement with central difference approximations.