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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.
N. G. Sjöstrand, E. B. Dahl
Nuclear Science and Engineering | Volume 57 | Number 1 | May 1975 | Pages 84-86
Technical Note | doi.org/10.13182/NSE75-A40347
Articles are hosted by Taylor and Francis Online.
With recently published results of Kaper et al. as a basis, accurate extrapolated endpoints have been calculated for homogeneous pulsed slabs and spheres. The neutrons were assumed to be monoenergetic and to scatter isotropically. In contrast to P3 calculations, the results indicate a zero slope at small bucklings of the curve describing the extrapolated endpoint as a function of buckling.