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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.
S. R. Bierman, E. D. Clayton
Nuclear Science and Engineering | Volume 61 | Number 3 | November 1976 | Pages 370-376
Technical Paper | doi.org/10.13182/NSE76-A26923
Articles are hosted by Taylor and Francis Online.
The results from a series of criticality experiments with three different mixtures of oxides of plutonium and uranium are presented. The fuel mixtures consisted of 235U-depleted uranium homogenized with ∼8, 15, and 30 wt% plutonium and blended, homogeneously, with polystyrene to achieve H:(Pu + U) atomic ratios of ∼7, 3, and 3, respectively. Critical sizes are given for rectangular parallelepipeds of each of the fuels fully reflected with a methacrylate plastic (Plexiglas). Critical sizes are also given for unreflected parallelepipeds of the 30-wt% plutonium-enriched fuel mixture. For the 30-wt% plutonium-enriched mixture, sufficient fuel was available to permit determining that the critical thickness of a fully reflected slab of this material, infinite in two dimensions, was 12.93 + 0.14 cm. Comparisons were made between the critical assemblies and calculational results using ENDF/B-III cross sections and the KENO and DTF-IV computer codes. Wherever comparisons could be made, the DTF-IV and KENO results were within 1% of each other; however, some of the comparisons between calculations and experiments differed by 2 to 3% in keff.