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Growth beyond megawatts
Hash Hashemianpresident@ans.org
When talking about growth in the nuclear sector, there can be a somewhat myopic focus on increasing capacity from year to year. Certainly, we all feel a degree of excitement when new projects are announced, and such announcements are undoubtedly a reflection of growth in the field, but it’s important to keep in mind that growth in nuclear has many metrics and takes many forms.
Nuclear growth—beyond megawatts—also takes the form of increasing international engagement. That engagement looks like newcomer countries building their nuclear sectors for the first time. It also looks like countries with established nuclear sectors deepening their connections and collaborations. This is one of the reasons I have been focused throughout my presidency on bringing more international members and organizations into the fold of the American Nuclear Society.
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.