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Conference Spotlight
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.
Peter Colombo, Robert M. Neilson, Jr.
Nuclear Technology | Volume 32 | Number 1 | January 1977 | Pages 30-38
Technical Paper | Materials in Waste Storage / Radioactive Waste | doi.org/10.13182/NT77-A31735
Articles are hosted by Taylor and Francis Online.
Techniques are developed for the solidification of radioactive wastes in concrete. Included are the sources, storage, volume reduction, and solidification of liquid wastes at Brookhaven National Laboratory using the cement-vermiculite process, as well as solid waste treatment, shipping containers, and off-site shipments of solid wastes. The properties of low-heat-generating high-level wastes, simulating those in storage at the Savannah River Plant, solidified in concrete were determined. Polymer impregnation was found to further decrease the leachability and improve the durability of these concrete waste forms.