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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.
G. Sdouz
Nuclear Science and Engineering | Volume 98 | Number 2 | February 1988 | Pages 162-168
Technical Paper | doi.org/10.13182/NSE88-A28496
Articles are hosted by Taylor and Francis Online.
To ensure an optimal application of fuel behavior codes, international standard problems (ISPs) are performed by the Nuclear Energy Agency of the Organization for Economic Cooperation and Development. Calculations performed with complex fuel analysis codes consume considerable implementation and running times. To avoid the application of these codes, a fast-running deformation code was extended to a fuel behavior code called BALO-2A. With this code, two standard problems were performed: ISP-14, which is based on the bundle experiment REBEKA-6, and ISP-19, performed at the Phebus facility. In each standard problem, different methods have to be applied to obtain boundary conditions and input values. The results indicate that BALO-2A simulates fuel behavior under loss-of-coolant accident conditions quite well.