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Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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NERS publishes report on machine learning and microreactors
The University of Michigan’s Department of Nuclear Engineering and Radiological Sciences (NERS) has published a summary of a study on nuclear microreactors and machine learning (ML) that was conducted by researchers from NERS and Idaho National Laboratory. The full paper, “Nuclear Microreactor Transient and Load-Following Control with Deep Reinforcement Learning,” was featured in the July issue of Energy Conversion and Management: X.
Yassin A. Hassan
Nuclear Technology | Volume 81 | Number 3 | June 1988 | Pages 446-449
Technical Note | Heat Transfer and Fluid Flow | doi.org/10.13182/NT88-A16066
Articles are hosted by Taylor and Francis Online.
A steady-state simulation of a 19-tube model once-through steam generator (OTSG) was performed with the TRAC-PF1 thermal-hydraulic computer code. The predicted steady-state results were not in good agreement with the experimental data. Underprediction of the observed superheat temperature was obtained. The current safety analysis computer programs use the Chen correlation. A modification in the Chen boiling correlation produced satisfactory results for use in OTSG analysis.
