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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.
John A. Adams, R. R. Roy
Nuclear Science and Engineering | Volume 63 | Number 1 | May 1977 | Pages 41-47
Technical Paper | doi.org/10.13182/NSE77-A27002
Articles are hosted by Taylor and Francis Online.
Protons from 252Cf fission have been studied to determine their origin by using a ΔE, E detector particle telescope. Both fission- and nonfission-related events are discussed as possible sources of the observed proton energy spectrum. The increased yield of low-energy protons, which peak at ∼3.2 MeV, seems to be due mainly to background (α,p) reactions. Evidence of polar proton emission is discussed and gives an estimated polar proton emission yield of 2.83 ± 0.18 × 10−5 per fission, with a most probable energy of 10.0 ± 0.2 MeV and full-width at half-maximum (FWHM) of 7.6 ± 0.2 MeV. The yield of tripartition fission-related protons was then estimated to be 3.50 ± 0.20 × 10−5 per fission, with a most probable energy of 6.6 ± 0.2 MeV and an FWHM of 7.0 ± 0.2 MeV