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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.
Richard B. Nicholson
Nuclear Science and Engineering | Volume 18 | Number 2 | February 1964 | Pages 207-219
Technical Paper | doi.org/10.13182/NSE64-A18320
Articles are hosted by Taylor and Francis Online.
A generalized method for estimating the energy release in hypothetical fast-reactor meltdown accidents is formulated. A modification of the Bethe-Tait method is derived from this more general formulation, and comparisons are made to an improved method, programmed for the IBM-7090 computer. Two basic assumptions are utilized: that the reactivity effects during disassembly can be calculated from perturbation theory, and that the decrease in density during disassembly can be ignored in the equations of hydrodynamics. It is shown that the threshold equation of state used in the Bethe-Tait method tends to cause an overestimate of the energy release for weak and moderate excursions, and that the saturated vapor pressure must be considered in those cases. The dependence of energy release upon prompt-neutron generation time, initial power level, rate of reactivity insertion, and Doppler effect is investigated.