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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.
A. N. Verma, Feroz Ahmed, L. S. Kothari
Nuclear Science and Engineering | Volume 62 | Number 4 | April 1977 | Pages 745-750
Technical Note | doi.org/10.13182/NSE77-A15217
Articles are hosted by Taylor and Francis Online.
Using the flux synthesis method and energy -dependent boundary conditions, we have solved the three-dimensional multigroup diffusion equation, without as suming space-energy separability and without explicitly introducing the concept of buckling, to study the diffusion of neutrons inside beryllium assemblies with finite transverse dimensions. The energy -dependent neutron spectra have been reported at various distances inside the two experimental assemblies of Lake and Kallfelz (35.6 × 35.6 × 50.8 cm3 and 25.4 × 25.4 × 50.8 cm3). We have discussed in detail the problem of the existence of a true discrete or a pseudo-asymptotic mode in these assemblies. We have also defined an “equivalent buckling” and find that the equivalent buckling agrees with the conventional definition of buckling only in large assemblies and only then in the epicold energy region. We have also discussed the validity of using diffusion theory in small assemblies.