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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.
Takanobu Kamei
Nuclear Science and Engineering | Volume 57 | Number 3 | July 1975 | Pages 179-187
Technical Paper | doi.org/10.13182/NSE75-A26749
Articles are hosted by Taylor and Francis Online.
Continuous slowing-down theory is generalized so that inelastic scattering can be accurately taken into account. The basic idea underlying generalized theory is the assumption that the ratio, R(u), of the solution spectrum to a reference spectrum, g(u), varies linearly with the lethargy, u; that is, R(u) can be approximated by two terms of a Taylor series as long as g(u) is chosen reasonably. Such conventional theories as Geortzel-Greuling (GG) or Stacey’s improved-GG are included in this theory by taking g(u) as 1/∑s,i(u) or 1/∑t(u), respectively. The present theory is demonstrated to yield quite accurate results for the neutron spectra and coarse-group effective cross sections in many varieties of core and blanket compositions of fast reactors, using three alternative prescriptions for g(u).