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2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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Fusion Science and Technology
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.
Richard B. Jones, Morton Tavel
Nuclear Science and Engineering | Volume 57 | Number 1 | May 1975 | Pages 90-92
Technical Note | doi.org/10.13182/NSE75-A40349
Articles are hosted by Taylor and Francis Online.
The accuracy of the phase space time evolution method applied to neutron transport is contrasted with a one-dimensional discrete ordinates code with anisotropic scattering, ANISN, a time-dependent explicit discrete ordinates code, TIMEX, and theoretical benchmark values for critical bare slabs. The comparison is performed by calculating the critical value of v (the number of neutrons released per fission) for slabs of various halfwidths. Furthermore, pointwise flux differences are displayed for one particular slab thickness. Finally, a nonlinear time-dependent problem previously solved only in diffusion theory is considered.
