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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.
C. E. Bemis, Jr., J. H. Oliver, R. Eby, J. Halperin
Nuclear Science and Engineering | Volume 63 | Number 4 | August 1977 | Pages 413-417
Technical Paper | doi.org/10.13182/NSE77-A27058
Articles are hosted by Taylor and Francis Online.
The thermal-neutron capture cross section and capture resonance integral for 243Cm have been measured in cobalt-monitored reactor irradiations of nearly isotopically pure 243Cm (99.94%) using cadmium filter techniques. The thermal-neutron absorption (capture plus fission) cross section and corresponding resonance integral for 243Cm have also been measured in a separate experiment relative to 248Cm. Values of σ2200(n, γ) = 130.7 ± 9.6, σ2200(n, f) = 609.6 ± 25.9, I(n, γ) = 214.7 ± 20.3, and I(n, f) = 1575 ± 136 b are reported.
