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      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.

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Underestimation of Statistical Uncertainty of Monte Carlo Method with Non-Analog of Fission Source Sampling

Koji Hayashi, Tomohiro Endo, Akio Yamamoto (Nagoya Univ)

Transactions | Volume 113 | Number 1 | October 2015 | Pages 1153-1157

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