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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.
Suresh Garg, Feroz Ahmed, L. S. Kothari
Nuclear Science and Engineering | Volume 62 | Number 3 | March 1977 | Pages 502-510
Technical Paper | doi.org/10.13182/NSE77-A26987
Articles are hosted by Taylor and Francis Online.
We report here our calculated results of steady-state space- and angle-dependent thermal-neutron spectra inside an infinite slab as well as inside finite prisms of graphite with transverse dimensions varying from 100 × 100 cm2 to 30 × 30 cm2 and different longitudinal dimensions (ranging from 100 to 180 cm). We find that in the forward direction, due to streaming, cold neutrons pile up with distance. Neutron spectra in backward directions are depleted in sub-Bragg neutrons. At all distances from the source plane, the proportion of cold neutrons in the energy spectrum in the forward direction increases with decrease in transverse dimensions. The question of the existence of asymptotic conditions in these assemblies has been discussed in detail. We show that in the forward direction a true discrete mode does not exist even in an infinite slab 150 cm thick. However, pseudo-asymptotic conditions should exist beyond 30 cm in a prism of transverse dimensions nearly 100 × 100 cm2. The critical transverse dimensions for the existence of a pseudo-asymptotic mode lie somewhere between 100 × 100 cm2 and 70 × 70 cm2, in conformity with the observed results of DeJuren and Swanson and theoretical predictions of Ahmed et al.