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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.
James H. Renken
Nuclear Science and Engineering | Volume 63 | Number 3 | July 1977 | Pages 330-335
Technical Paper | doi.org/10.13182/NSE77-A27044
Articles are hosted by Taylor and Francis Online.
The operation of pulsed-neutron uranium logging systems is clarified through the derivation of a theoretical expression that shows the relative detector output attributable to rock at different distances from the detector. The results of numerical neutron transport calculations are used to evaluate this expression. Although the theory considered here is applicable to several nuclear logging methods, we restrict our attention to an examination of the prompt fission neutron method. Results show that, depending on the water content of the rock matrix, significant contributions to the detector output are caused by ore-bearing rock as far as 0.3 to 0.5 m from the detector.