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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.
H. Alan Robitaille, John S. Hewitt
Nuclear Science and Engineering | Volume 63 | Number 4 | August 1977 | Pages 391-400
Technical Paper | doi.org/10.13182/NSE77-A27056
Articles are hosted by Taylor and Francis Online.
The spectrum of neutrons in thermal pseudo-equilibrium with a mixture of partially hydrogenated terphenyls and high-boiling polymers, an organic material known commercially as HB40, has been measured at room temperature. The spectrum was measured in each of seven mixtures of HB40 and a thermal-neutron absorber, trimethyl borate, in various concentrations. The spectra were determined by the time-of-flight method using the University of Toronto linear electron accelerator as a pulsed source of fast neutrons. These spectra were compared with those calculated using several different bound-hydrogen approximations to the actual energy transfer kernel for the mixture. Of these approximations, the best agreement between theory and experiment occurred for a scattering kernel derived using the diphenyl and the polyethylene scattering kernels, combined according to a weighting scheme reflecting the degree of hydrogenation of the organic material.