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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. K. Trikha, S. C. Jain
Nuclear Science and Engineering | Volume 65 | Number 1 | January 1978 | Pages 180-182
Technical Note | doi.org/10.13182/NSE78-A27141
Articles are hosted by Taylor and Francis Online.
Some theoretical calculations concerning the diffusion of thermal neutrons (2.5 × 10−4 to 0.7 eV) across an absorption discontinuity in water assemblies consisting of pure water on one side and the water solutions of boron (a 1/v absorber) having different concentrations on the other side have been performed by solving the Boltzmann transport equation in the diffusion approximation using the multigroup formalism. The Nelkin scattering kernel of water at 293 K has been tried in the present case. At the boundary, the equilibrium neutron distribution is disturbed and is reestablished to the equilibrium distribution of the second medium within a few centimetres from the boundary. The diffusion lengths so obtained show a good agreement with the experimental results of Martinho and Costa Paiva.