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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.
L. L. Briggs, E. E. Lewis
Nuclear Science and Engineering | Volume 63 | Number 3 | July 1977 | Pages 225-235
Technical Paper | doi.org/10.13182/NSE77-A27035
Articles are hosted by Taylor and Francis Online.
A new coarse-mesh technique, the constrained finite element method, is formulated from the variational form of the even-parity transport equation: Linear finite elements in space are combined with a P1 constraint on the angular trial functions at selected nodes to obtain a coarse-mesh three-point difference scheme for the scalar flux. Beginning with the same variational form of the transport equation, response matrix equations are derived that differ from the constrained finite element method only in the angular approximation made at the coarsemesh nodes. The two techniques are compared to each other, to S8 reference solutions, and to diffusion calculations for a number of one-group slab geometry problems involving both homogeneous media and lattice cells; they are found to be of comparable accuracy and efficiency. The generalization of the constrained finite element method is discussed.