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
Apr 2026
Latest Journal Issues
Nuclear Science and Engineering
June 2026
Nuclear Technology
April 2026
Fusion Science and Technology
Latest News
PJM queues a fusion project among 810 others
The breakdown by number of projects, share of megawatts, and generation types in PJM’s new interconnection cycle. (Source: PJM Interconnection)
On April 27, PJM Interconnection closed its first full interconnection cycle since 2022. Under a reformed application process, 811 developers submitted generation projects capable of generating 220 gigawatts of electricity. About 400 megawatts of that total share comes from Commonwealth Fusion Systems, which submitted an application for its ARC fusion power plant. This is a notable milestone for the industry: it is the first time a developer has requested to connect a commercial fusion power plant to a major grid.
Ivan A. Kodeli, Steven van der Marck
Nuclear Science and Engineering | Volume 198 | Number 2 | February 2024 | Pages 381-390
Research Article | doi.org/10.1080/00295639.2023.2199673
Articles are hosted by Taylor and Francis Online.
Iron is an essential element in the construction materials for fission and fusion reactors. Due to its complexity, the evaluation of iron cross sections continues to represent a challenge for the international nuclear data community. A comprehensive validation of any new nuclear data evaluation (and the computational procedure) against experimental benchmarks is therefore needed. The shielding benchmark database SINBAD includes relatively numerous experiments with iron as a shielding material; altogether, 27 benchmarks and several more are known but have not yet been evaluated in the database. However, in order to use the benchmark information with confidence and to rely on the predictions based on integral benchmark calculations, it is crucial to verify the quality and accuracy of the measurements themselves, as well as the (completeness of) available experimental information. This is done in the scope of the benchmark evaluation process. A further check of the reliability of the experimental information can be achieved by intercomparing the results of similar types of benchmark experiments and checking the consistency among them.