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2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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Latest News
Princeton-led team develops AI for fusion plasma monitoring
A new AI software tool for monitoring and controlling the plasma inside nuclear fuel systems has been developed by an international collaboration of scientists from Princeton University, Princeton Plasma Physics Laboratory (PPPL), Chung-Ang University, Columbia University, and Seoul National University. The software, which the researchers call Diag2Diag, is described in the paper, “Multimodal super-resolution: discovering hidden physics and its application to fusion plasmas,” published in Nature Communications.
J. T. Thomas
Nuclear Science and Engineering | Volume 62 | Number 3 | March 1977 | Pages 424-437
Technical Paper | doi.org/10.13182/NSE77-A26982
Articles are hosted by Taylor and Francis Online.
A surface density model based on experimental and calculated criticality data is developed for finite water-reflected arrays and results in semiempirical analytic expressions describing criticality. The relations provide information on the reactivity associated with such perturbations to arrays as changes in unit shapes, cell volumes, array shapes, and array reflectors. Equivalence between different fissile materials in a critical array is defined. The surface density and density analog models are shown to be in correspondence when applied to the same data. The density analog model is expressible as f(N) = g(m)p-2. The functions f(N) and g(m) are explicitly given, and the constant exponent has general applicability.