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Antares achieves zero-power criticality at INL
Leveraging more than $140 million in private capital fundraising, over 322,000 square feet of operational manufacturing space, and multifaceted partnerships with the Departments of Energy and Defense, reactor start-up Antares has become the first company involved in the Reactor Pilot Program to achieve zero-power fueled criticality—a full month ahead of the July 4 deadline set by President Trump’s Executive Order 14301.
This milestone, announced yesterday, was achieved with the company’s Mark-0: a sodium heat-pipe-cooled, TRISO-fueled microreactor. The Mark-0 is a forerunner to the company’s flagship design, which it calls the R1. For Antares, this development represents a key validation of its reactor physics, control systems, and supply chain.
H. Huang, H. W. Xu, K. P. Youngblood, D. R. Wall, R. B. Stephens, K. A. Moreno, A. Nikroo, K. J. Wu, M. Wang, A. V. Hamza
Fusion Science and Technology | Volume 63 | Number 2 | March-April 2013 | Pages 190-201
Technical Paper | Selected papers from 20th Target Fabrication Meeting, May 20-24, 2012, Santa Fe, NM, Guest Editor: Robert C. Cook | doi.org/10.13182/FST13-TFM20-24
Articles are hosted by Taylor and Francis Online.
The National Ignition Facility point design uses a five-layer capsule to modify the X-ray absorption in order to achieve optimized shock timing. A stepwise copper dopant design defines the layer structure; however, the as-deposited Cu distribution is significantly altered during the CH mandrel removal by pyrolysis. The changes are significant: (a) Cu diffuses on average several microns, a distance more than an order of magnitude larger than predicted from the bulk diffusion data, and (b) the Cu distribution, as a result of diffusion, is highly heterogeneous, introducing a local variation of [approximately]0.06 at. % near the original layer interface. In this study, we developed quantitative techniques to measure Cu diffusion and explored its correlation to beryllium microstructures. Plausible diffusion mechanisms and mitigation methods will be discussed. These findings will enable more accurate evaluation of the expected target performance.