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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.
Samir M. Sami, C. H. Le
Nuclear Technology | Volume 77 | Number 1 | April 1987 | Pages 7-17
Technical Paper | Fission Reactor | doi.org/10.13182/NT87-A33947
Articles are hosted by Taylor and Francis Online.
A dynamic void quality perturbation model has been developed to improve the capabilities of the NUFREQ code with respect to local void perturbation calculations. The present model calculates the local void perturbation in terms of the local quality perturbation, the dynamic drift flux parameters, and the transient time. In addition, the model evaluates the void reactivity feedback and the boiling channel nuclear reactor feedback. Depending on the flow regime, this model can predict the local void fraction perturbation in horizontal (CANDU reactors) and vertical channels (light water reactors). Numerical results revealed that this model enhanced the capabilities of the NUFREQ code and improved its accuracy in predicting the lower natural frequency as well as the system frequency response at higher frequencies.