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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.
Edward W. Larsen
Nuclear Science and Engineering | Volume 60 | Number 4 | August 1976 | Pages 357-368
Technical Paper | doi.org/10.13182/NSE76-A26897
Articles are hosted by Taylor and Francis Online.
We construct an asymptotic solution of the neutron transport equation in a large heterogeneous medium using a multiscale method. The solution is asymptotic with respect to a small dimensionless parameter, ϵ, which is defined as the ratio of a mean-free-path to the diameter of the medium. The leading term of the solution is the product of two functions, one determined by a cell calculation and the other as the solution of a diffusion equation. The coefficients in the diffusion equation contain functions that are determined by cell calculations ard are then averaged over the cell. We compare the asymptotic diffusion coefficients to other “homogenized” dif usion coefficients that have been proposed in the literature and show that a substantial numerical disagreement exists for a large class of problems. We also give a physical interpretation to the asymptotic solution and to the numerical results concerning the asymptotic diffusion coefficients.