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Diversification and the common ground
Craig Piercycpiercy@ans.org
Who would have thought, just a few years ago, that we would see so many long-standing barriers to new nuclear development falling like dominoes? Public opinion, policy, regulatory reform, finance and investment, design maturity, nuclear fuel enrichment, and fuel fabrication capacity have all advanced with remarkable speed in the United States.
Conventional wisdom holds that the most effective way to scale up the nuclear supply chain is to do so strategically, matching investments to the needs of reactor developers.
Toshihiro Yamamoto, Hiroki Sakamoto
Nuclear Science and Engineering | Volume 199 | Number 9 | September 2025 | Pages 1365-1375
Research Article | doi.org/10.1080/00295639.2025.2463815
Articles are hosted by Taylor and Francis Online.
The calculation of the inverse reactor period α, which is a fundamental mode eigenvalue of the α-mode nonlinear Boltzmann eigenvalue equation, depends on the kinetics parameters (delayed neutron fractions, precursor decay constants, and delayed neutron spectra) used in the calculation. Recently, we developed a Monte Carlo method to calculate the derivatives of the k-eigenvalue with respect to α. Here, the k-eigenvalue is not a critical eigenvalue; rather, it is a fictitious eigenvalue introduced to determine the α value that satisfies the α-mode nonlinear equation. The sensitivity coefficients of α with respect to the kinetics parameters are expressed as the ratio of the two derivatives: the derivative of the k-eigenvalue with respect to the kinetics parameters and that with respect to α.
This study introduces a new step for calculating the derivatives of the k-eigenvalue with respect to kinetics parameters using the differential operator sampling method. The sensitivity coefficients obtained using the Monte Carlo method have been validated based on their close agreement with the reference solutions obtained using a deterministic method.