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2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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Commonwealth Fusion Systems partners with Google DeepMind
Google DeepMind—Google’s artificial intelligence development subsidiary—recently announced a new partnership with fusion start-up Commonwealth Fusion Systems. The goal of this collaboration is to leverage AI to both advance plasma simulation and discover novel control strategies, ultimately accelerating CFS’s timeline to deliver commercial fusion to the grid.
M. Ishii, W. L. Chen, M. A. Grolmes
Nuclear Science and Engineering | Volume 69 | Number 2 | February 1979 | Pages 297-318
Technical Paper | doi.org/10.13182/NSE79-2
Articles are hosted by Taylor and Francis Online.
During an unprotected undercooling accident in a liquid-metal fast breeder reactor, the motion and relocation of the molten fuel cladding can be important because of their potentially significant effect on reactivity, blockage formation, and subsequent fuel motion. The present study analyzes the cladding relocation problem based on a multichannel film flow model. The important aspects considered in the analysis are the nonuniform transverse cladding melting pattern and sodium vapor flow diversions within a subassembly. It has been shown that the motion of molten fuel cladding and subsequent blockage formations can be significantly influenced by this interconnected channel effect. Several sample calculations have been made to demonstrate these points.