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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.
K. Cheuk Chan, Harvey J. Amster
Nuclear Science and Engineering | Volume 61 | Number 3 | November 1976 | Pages 434-437
Technical Note | doi.org/10.13182/NSE76-A26931
Articles are hosted by Taylor and Francis Online.
Exact elementary functions for the value and first two lethargy derivatives of the collided neutron flux at source lethargy have been derived previously for a monoenergetic plane source in hydrogen, and the results have been used both to test calculational methods and to synthesize an elementary function for the entire spatially dependent slowing down distribution. In this Note, the exact elementary functions at source lethargy are generalized to allow: (a) any number and thicknesses of homogeneous slabs with faces parallel to the source plane, (b) each slab to be composed of any mixture of isotopes with arbitrary energy-dependent elastic scattering and absorption cross sections, and (c) any number of equally spaced cosine-weighted source planes.