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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.
H. Zimmermann
Nuclear Technology | Volume 41 | Number 3 | December 1978 | Pages 408-410
Technical Note | Fuel | doi.org/10.13182/NT78-A32125
Articles are hosted by Taylor and Francis Online.
The swelling of mixed oxide in fuel elements irradiated within the irradiation program of the German Fast Breeder Project was determined. In fuel pins with a burnup-independent high power level, a constant swelling rate of 0.5% per percent burnup was found at burnups above 4%. It is concluded that this swelling rate is induced by solid fission products. The volume-averaged swelling due to fission gases seems to be saturated at a value of ∼6%.
