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
Feb 2026
Jul 2025
Latest Journal Issues
Nuclear Science and Engineering
February 2026
Nuclear Technology
January 2026
Fusion Science and Technology
Latest News
LLNL offers tools to model the economics of inertial fusion power plants
Lawrence Livermore National Laboratory has designed a model to help assess the economic impact of future fusion power plant operations—specifically, the operation of inertial fusion energy (IFE) power plants. Further, it has made its Generalized Economics Model (GEM) for Fusion Technology—an Excel spreadsheet—available for download.
Rei Kimura, Yuki Nakai, Tadafumi Sano, Atsushi Sakon, Satoshi Wada
Nuclear Technology | Volume 209 | Number 11 | November 2023 | Pages 1859-1866
Note | doi.org/10.1080/00295450.2023.2212828
Articles are hosted by Taylor and Francis Online.
An experiment was conducted that demonstrates a novel core power distribution reconstruction method based on ex-core detectors using time-dependent measurement at the University Teaching and Research Reactor of Kindai University (UTR-KINKI). Although the proposed method PHOEBE was able to identify the power distribution change caused by control rods under static conditions in a previous experiment, time-dependent experiments were not conducted. Hence, the present study measured time-dependent neutron counts using ex-core detectors to reconstruct the power distribution based on PHOEBE. Extraction of the control rods was expected to cause a shift in the reactor power distribution from the north side to the south, and the results of the power distribution reconstruction also demonstrated this power shift. This result experimentally and qualitatively demonstrated the detection of time-dependent power shifts based on PHOEBE. However, quantitative verification was difficult in this study because there are no verified time-dependent three-dimensional neutronics codes available. This issue will be addressed in a future study when a code becomes available.