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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.
V. C. Boffi, V. G. Molinari, G. Spiga
Nuclear Science and Engineering | Volume 64 | Number 4 | December 1977 | Pages 823-836
Technical Paper | doi.org/10.13182/NSE77-A14497
Articles are hosted by Taylor and Francis Online.
The problems of the anisotropy of both scattering and fission and of its effects on mono-energetic neutron flux distributions are discussed for both plane and spherical symmetries. After a statement of the problem for the case of a general anisotropy, the case of a finite-order anisotropy with azimuthal symmetry is considered, and various quantities of interest are studied as a function of a parameter that appropriately accounts for the different anisotropic behaviors of scattering and fission. Numerical results for the linearly anisotropic critical case in both plane and spherical symmetries are reported and are completed with the ones obtained by asymptotic method.