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Conference Spotlight
2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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Fusion Science and Technology
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. McNeany, J. D. Jenkins
Nuclear Science and Engineering | Volume 65 | Number 3 | March 1978 | Pages 441-453
Technical Paper | doi.org/10.13182/NSE78-A27175
Articles are hosted by Taylor and Francis Online.
Eleven 233U solution critical assemblies spanning an H/233U ratio range of 40 to 2000 and an unreflected metal 233U assembly have been calculated with ENDF/B-IV and Hansen-Roach cross sections. Results from these calculations are compared with the experimental results and with each other. We observed an increasing disagreement between calculations with ENDF/B and Hansen-Roach data with decreasing H/233U ratio, indicative of large differences in their intermediate energy cross sections. The Hansen-Roach cross sections appeared to give reasonably good agreement with experiments over the whole range, whereas the ENDF/B calculations yielded high values for keff on assemblies of low moderation. We conclude that serious problems exist in the ENDF/B-IV representation of the 233U cross sections in the intermediate energy range and that further evaluation of this nuclide is warranted. In addition, we recommend that an experimental program be undertaken to obtain 233U criticality data at low H/233U ratios for verification of generalized criticality safety guidelines.
