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November 9–12, 2025
Washington, DC|Washington Hilton
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Fusion Science and Technology
October 2025
Latest News
DOE awards $134M for fusion research and development
The Department of Energy announced on Wednesday that it has awarded $134 million in funding for two programs designed to secure U.S. leadership in emerging fusion technologies and innovation. The funding was awarded through the DOE’s Fusion Energy Sciences (FES) program in the Office of Science and will support the next round of Fusion Innovation Research Engine (FIRE) collaboratives and the Innovation Network for Fusion Energy (INFUSE) awards.
Felipe S. Novais, Nicholas R. Brown, G. Ivan Maldonado
Fusion Science and Technology | Volume 79 | Number 8 | November 2023 | Pages 961-972
Research Article | doi.org/10.1080/15361055.2022.2161263
Articles are hosted by Taylor and Francis Online.
This paper presents a parametric study of the Fusion Energy System Studies-Fusion Nuclear Science Facility’s (FNSF’s) tritium breeding performance for several solid breeder concepts, neutron multiplying materials, and blanket materials, assuming volume fractions based on the most recent FNSF design as a realistically representative fusion facility. In this study, we initially surveyed the tritium breeding ratio (TBR) of several solid breeder concepts by employing a simplified but efficient one-dimensional (1-D) infinite cylinder reduced-order model (ROM). Parametric studies were performed with the ROMs for the full range of breeder-to-multiplier ratios to identify the optimum mixture compositions for each breeder type that would lead to a maximum TBR.
These optimized breeder-multiplier combinations were then homogenized with FNSF blanket component materials to estimate their impacts on the TBR. Subsequently, as a validation step for the optimal designs, TBR calculations were performed using a more realistic modified 1-D ROM with inner and outer breeding regions, as well as with a fully detailed 22.5-deg three-dimensional (3-D) sector of the FNSF to assess the impact of geometry details on the TBR. The differences between the two 1-D models were negligible, while the ROMs were able to correctly predict trends and identify the maximum and minimum TBR cases, as well as show consistent biases relative to the results produced by the full 3-D, 22.5-deg sector for specific breeder/multiplier combinations.
Solid breeder concepts such as , , and outperformed all others in this study in terms of TBR performance when combined with all the neutron multiplier materials selected. An underlying goal of this study was to develop and improve rapid and reliable ROMs to aid designers during parametric optimizations of highly complex and computationally expensive fusion models.