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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.
Yasunori Yamamura, Hiroshi Kimura
Nuclear Science and Engineering | Volume 58 | Number 1 | September 1975 | Pages 98-103
Technical Note | doi.org/10.13182/NSE75-A26771
Articles are hosted by Taylor and Francis Online.
With the help of the generalized function theory, the macroscopic treatment of neutrons slowing down in a homogeneous medium is investigated. As a result, it is found that the balance equation for neutron flux is exactly expressed by for a monoenergetic source as well as a fission source, where the moderating parameter is defined as the ratio of slowing down density to collision integral .Source dependence of this parameter, (u), is also examined analytically and numerically. In the transient region the difference of (u)’s for a monoenergetic source and a fission source is shown to be remarkable. For a monoenergetic source the asymptotic value is found to be a monotonically decreasing function of the absorbing ratio, a, while the of fission neutrons is also a decreasing function for the smaller absorbing ratio than a certain critical absorbing ratio and for large a it has the constant value .