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Conference Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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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.
John Perreault, Lawrence Ruby
Nuclear Technology | Volume 9 | Number 3 | September 1970 | Pages 402-407
Instrument | Symposium on Theoretical Models for Predicting In-Reactor Performance of Fuel and Cladding Material | doi.org/10.13182/NT70-A28794
Articles are hosted by Taylor and Francis Online.
A test has been devised to detect incipient failure of relays, which does not require removal of the relay from its circuit, nor does it require any system outage time in vital reactor applications. The relay parameter, which is evaluated, is the actuation time. The distribution of actuation times has been measured for several relays, of two different types. The distribution has been shown to shift as a function of coil voltage, overall temperature, and spring tension. A large shift in the distribution was noted as a result of a destructive heating test. As a result, the use of the 90% spread points of a reference distribution is proposed as a criterion for the detection of incipient failure in a periodic multiple-test program.