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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.
K. O. Ott, D. A. Meneley
Nuclear Science and Engineering | Volume 36 | Number 3 | June 1969 | Pages 402-411
Technical Paper | doi.org/10.13182/NSE36-402
Articles are hosted by Taylor and Francis Online.
The quasistatic approach of treating the spatial dynamics problem is described as one method out of a full sequence of methods that factorize the flux into an amplitude and a shape function. The accuracy of these methods is investigated for a wide range of excursions in fast and thermal reactors by comparison with a full numerical solution. The quasistatic method describes even extreme excursions in fast reactors very accurately. Its application to thermal reactor excursions may, however, lead to appreciable errors. The “improved quasistatic” method reduces the errors for both types of reactors to negligible amounts so that its application to thermal reactors may be also considered.