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2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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Fusion Science and Technology
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.
H. Ing, W. G. Cross
Nuclear Science and Engineering | Volume 58 | Number 4 | December 1975 | Pages 420-430
Technical Paper | doi.org/10.13182/NSE75-A26797
Articles are hosted by Taylor and Francis Online.
Spectra, calculated by Monte Carlo, are presented for neutrons transmitted through various thicknesses of iron from sources of fission neutrons, H2O-moderated fission neutrons, D2O-moderated fission neutrons, and 14.7-MeV neutrons. The sources were located at the center of iron spheres or were in the form of beams incident normally on slabs. Variations in spectral shapes are discussed from the viewpoint of effects on the response of neutron dosimeters. Effective cross sections for threshold detectors 103Rh, 115In, 32S, 237Np, 232Th, and 238U were obtained by averaging the cross sections over the calculated spectra. Average kerma , dose equivalent, and maximum dose per n/cm2 were also calculated. Curves of show the sensitivity of these detectors to spectral changes and permit the computation of correction factors to dosimeter readings.
