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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.
Zhaopeng Zhong, Thomas J. Downar, Yunlin Xu, Mark L. Williams, Mark D. DeHart
Nuclear Science and Engineering | Volume 154 | Number 2 | October 2006 | Pages 190-201
Technical Paper | doi.org/10.13182/NSE06-3
Articles are hosted by Taylor and Francis Online.
A method is presented to obtain a continuous-energy representation of the neutron spectrum using two-dimensional discrete ordinates calculations with a combination of multigroup (MG) and pointwise (PW) nuclear data. This provides the capability of determining the fine-structure energy distribution of the angular flux and flux moments within the resonance range as well as the smoother spectrum in the high- and thermal-energy ranges. The continuous-energy flux spectra can be utilized as problem-dependent weighting functions within the whole two-dimensional domain to process self-shielded MG cross sections for reactor physics and/or criticality safety analysis so that the two-dimensional heterogeneous effect in the resonance calculation can be fully considered. This calculational method has been implemented in a new PW transport code called GEMINEWTRN that may be executed as a module in the SCALE computer code system. Example applications using ENDF/B cross-section data are presented to study the two-dimensional heterogeneous effect in the resonance calculations.