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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.
W. L. Dutré, A. F. Debosscher
Nuclear Science and Engineering | Volume 62 | Number 3 | March 1977 | Pages 355-363
Technical Paper | doi.org/10.13182/NSE77-A26977
Articles are hosted by Taylor and Francis Online.
This paper presents an exact and complete statistical analysis of the neutron density fluctuations resulting from Gaussian white reactivity noise in a point reactor model with proportional power feedback, but without delayed neutrons. The analysis includes the multiplicative effect of neutron density and reactivity variations. An exact solution of the time-independent Fokker-Planck equation is found, resulting in a gamma density function for the stationary first-order probability density of the power fluctuations. The time-dependent Fokker-Planck equation is solved for the Laplace transformed function, which can be written in terms of confluent hypergeometric functions. The subsequent inversion yields the transition probability density function. The most common first- and second-order statistical characteristics, such as moments, autocovariance function, and power spectral density, are calculated and compared to the results of a linearized analysis.