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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.
N. Vetcha, S. Smolentsev, M. Abdou
Fusion Science and Technology | Volume 60 | Number 2 | August 2011 | Pages 518-522
Blanket Design and Experiments | Proceedings of the Nineteenth Topical Meeting on the Technology of Fusion Energy (TOFE) (Part 2) | doi.org/10.13182/FST60-518
Articles are hosted by Taylor and Francis Online.
An approach developed in earlier work to study the hydrodynamic stability of the buoyancy assisted flow in DCLL blanket based on the solution of the Orr-Sommefeld equation for MHD flows is used here to address the stability of the buoyancy-opposed (downward) flows in the DCLL blanket conditions. The present analysis predicts that downward flows in DCLL blanket conditions will likely be hydrodynamically unstable and eventually turbulent due to the development of either inflectional instability or boundary layer instability.