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Conference Spotlight
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.
M. G. Stamatelatos, T. R. England
Nuclear Science and Engineering | Volume 63 | Number 2 | June 1977 | Pages 204-208
Technical Note | doi.org/10.13182/NSE77-A27028
Articles are hosted by Taylor and Francis Online.
A simple yet accurate approximation for calculating spectrum-averaged beta-particle energies and spectra is presented. It gives the average beta-particle energy as a ratio of two polynomials and can be easily implemented on pocket calculators. The values calculated by this method differ from those calculated by “exact” methods by <1% for nuclides with atomic numbers in the 20 to 100 range emitting beta particles having energies up to ∼8 MeV (∼1.3 pJ).
