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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. G. Molinari, R. Simonini
Nuclear Science and Engineering | Volume 65 | Number 3 | March 1978 | Pages 560-565
Technical Note | doi.org/10.13182/NSE78-A27190
Articles are hosted by Taylor and Francis Online.
The problem of the spatial variation of thermal-neutron fluxes is investigated in the framework of energy-dependent diffusion theory. Neutron flux is expanded here in terms of Laguerre polynomials in energy, weighted with a local Maxwellian distribution in which the neutron temperature depends on the space variable. The method proposed is applied to the diffusion of thermal neutrons in moderating systems with a nonuniform temperature profile.