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The DOE’s plan for AI in NRC licensing
The Department of Energy announced the completion of a proof-of-concept demonstration of the use of Everstar’s AI tool to generate chapter 5 of an NRC license application from preliminary safety documents.
The 208-page document was created by the AI tool in approximately one day. According to the DOE, it would typically take a team of people between four and six weeks to complete this work.
Claudio Pescatore, Albert J. Machiels
Nuclear Technology | Volume 56 | Number 2 | February 1982 | Pages 297-300
Technical Paper | Radioactive Waste Management | doi.org/10.13182/NT82-A32857
Articles are hosted by Taylor and Francis Online.
When leaching is controlled by a diffusion process, leach test results are particularly simple to interpret when test specimens approximate semi-infinite media. For spherical and cylindrical leach test samples, a criterion relating the test duration T, the specimen radius R, and the effective bulk diffusion coefficient D, to the desired degree of concurrence to the semiinfinite geometry behavior P, is shown to be given by: From the proposed criterion, it is concluded that, for glass waste forms, the semi-infinite geometry approximation is met by most test samples except possibly for finely crushed material