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Conference Spotlight
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.
R. L. McCrory, R. L. Morse, K. A. Taggart
Nuclear Science and Engineering | Volume 64 | Number 1 | September 1977 | Pages 163-176
Technical Paper | doi.org/10.13182/NSE77-A27087
Articles are hosted by Taylor and Francis Online.
The inertial confinement approach to controlled fusion requires that small thin-walled spherical shells of fuel and other materials be imploded, compressed, and heated by laser or charged particle beams. In most cases of interest, the implosion of such thin shells is unstable to the growth of spherical asymmetries. We have developed and used two numerical simulation techniques to study these instabilities. The first technique is used to study the small amplitude growth of the instabilities by employing a perturbation method. The derivation of the Hamiltonian model on which the technique is based is developed here. The second technique is a fully nonlinear two-dimensional hydrodynamics and heat flow technique that we have used to follow the large-amplitude development and saturation of the instabilities. The examples of calculations shown demonstrate the utility of the method and the range of different saturation phenomena that may be expected.