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May 31–June 3, 2026
Denver, CO|Sheraton Denver
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CFS working with NVIDIA, Siemens on SPARC digital twin
Commonwealth Fusion Systems, a fusion firm headquartered in Devens, Mass., is collaborating with California-based computing infrastructure company NVIDIA and Germany-based technology conglomerate Siemens to develop a digital twin of its SPARC fusion machine. The cooperative work among the companies will focus on applying artificial intelligence and data- and project-management tools as the SPARC digital twin is developed.
Ahmed Badruzzaman, Martin Becker
Nuclear Technology | Volume 52 | Number 2 | February 1981 | Pages 198-213
Technical Paper | Fuel Cycle | doi.org/10.13182/NT81-A32665
Articles are hosted by Taylor and Francis Online.
Simplified methods based on the weak dependence of the fast reactor spectra on exposure have been developed for fuel cycle and sensitivity analysis of both the homogenized core and the core-blanket systems, resulting in significant savings in computer time relative to a direct method of spectrum calculation. Correlations of spectrum-averaged cross sections dependent on composition alone for the central core, and on composition and position for the core-blanket interface and the blanket region, were utilized in the depletion calculations. These provide sensitivities of the fuel cycle cost and the breeding performance to data uncertainties, and to design variations, in excellent agreement with those from the direct method. The simplified methods were then extended to perform exposure-dependent multigroup sensitivity analyses.