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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.
Gilbert Epstein, James Biffer, Martin Becker
Nuclear Science and Engineering | Volume 60 | Number 3 | July 1976 | Pages 288-301
Technical Paper | doi.org/10.13182/NSE76-A26885
Articles are hosted by Taylor and Francis Online.
Continuous neutron slowing down theory, as generalized to incorporate inelastic scattering, has been combined with integral transport theory by use of the separable kernel analogy. The result is a matrix form of continuous slowing down theory where the matrices involved are direct generalizations of the scalar quantities encountered in continuous slowing down theory. The approach has been applied to the calculation of space-dependent spectra in uranium and iron single-region problems and in two-region problems involving uranium and iron. In general, very good agreement with more precise calculations is obtained.
