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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.
J. Hardy, Jr., D. Klein, G. G. Smith
Nuclear Science and Engineering | Volume 9 | Number 3 | March 1961 | Pages 341-345
Technical Paper | doi.org/10.13182/NSE61-A25885
Articles are hosted by Taylor and Francis Online.
The resonance fission integrals of U235, Pu239, and Pu241 have been measured relative to the gold resonance capture integral by the cadmium ratio method. The cadmium ratios were measured in a reactor at a position where the epicadmium flux spectrum was closely 1/E except for a peak above 25 kev. A small spectrum correction was made for this flux peak to infer the fission integral over a pure 1/E spectrum using a calculated epicadmium flux spectrum. The resonance integrals obtained were, with a 0.5-ev cutoff energy, 274 ± 11b, 327 ± 22b, and 557 ± 33b for U235, Pu239, and Pu241, respectively.