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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.
J. L. Stringer, R. R. Bourassa, G. J. Dau
Nuclear Technology | Volume 17 | Number 1 | January 1973 | Pages 71-78
Technical Paper | Technique | doi.org/10.13182/NT73-A31256
Articles are hosted by Taylor and Francis Online.
To evaluate the combined effects of radiation-induced conductivity and radiation-induced currents cm dc readout errors as a function of radiation and temperature, an equivalent dc circuit has been used for a coaxial cable in a reactor core. Experimentally obtained data are used in this circuit to estimate readout errors as a function of source impedance and source output voltage for radiation and temperature fields of 5 × 109 R/h and 650°C. Results indicate that in this radiation temperature environment there will be no significant errors from a voltage source with output >10 mV for a cable-sensor combination under these conditions:
It is also found that (a) radiation-induced conductivity of powdered MgO changes linearly with dose rate to at least 9 × 1010 R/h, and (b) magnitude and polarity of radiation-induced currents are independent of temperature.