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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.
R. J. Howerton
Nuclear Science and Engineering | Volume 62 | Number 3 | March 1977 | Pages 438-454
Technical Paper | doi.org/10.13182/NSE77-A26983
Articles are hosted by Taylor and Francis Online.
A method for predicting (Z,A,En) is developed and tested against available experimental data for isotopes ranging from 229Th to 249Cf The only input values required are the charge and mass numbers (Z and A) and the binding energy of the last neutron in the (A + 1) nucleus. For incident neutron energies greater than the threshold of multiple-chance fission, the method is extended by accounting for each fission process separately. This method is an extension of work reported by the author in 1963 and 1971.