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Nuclear Nonproliferation Policy
The mission of the Nuclear Nonproliferation Policy Division (NNPD) is to promote the peaceful use of nuclear technology while simultaneously preventing the diversion and misuse of nuclear material and technology through appropriate safeguards and security, and promotion of nuclear nonproliferation policies. To achieve this mission, the objectives of the NNPD are to: Promote policy that discourages the proliferation of nuclear technology and material to inappropriate entities. Provide information to ANS members, the technical community at large, opinion leaders, and decision makers to improve their understanding of nuclear nonproliferation issues. Become a recognized technical resource on nuclear nonproliferation, safeguards, and security issues. Serve as the integration and coordination body for nuclear nonproliferation activities for the ANS. Work cooperatively with other ANS divisions to achieve these objective nonproliferation policies.
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2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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Latest News
X-energy receives federal tax credit for TRISO fuel facility
Advanced reactor company X-energy has been awarded $148.5 million in tax credits under the Inflation Reduction Act for construction of its TRISO-X fuel fabrication facility in Oak Ridge, Tenn.
M. J. Pattison, K. N. Premnath, N. B. Morley
Fusion Science and Technology | Volume 52 | Number 4 | November 2007 | Pages 812-816
Technical Paper | Nuclear Analysis and Experiments | doi.org/10.13182/FST07-A1591
Articles are hosted by Taylor and Francis Online.
Fusion reactors designs frequently involve the use of liquid metal flows in the presence of strong magnetic fields. Simulation of the flows involves the solution of continuum equations for fluid flow and magnetic induction, usually done with finite difference methods. In this paper, an alternative method, based on the generalized lattice Boltzmann equation (GLBE), and implemented in the MetaFlow code is discussed. It has a number of desirable features, including fast execution, excellent parallel scalability, and can easily handle complex geometries. The use of the recent GLBE variant greatly enhances stability and accuracy. To simulate magnetohydrodynamic (MHD) flows relevant to fusion applications using GLBE, several new models have been developed, including new boundary condition formulations, preconditioners for faster steady-state convergence, variable electrical conductivity materials, and to resolve thin Hartmann layers. These models are discussed, and validations against MHD benchmarks, including 3-D driven cavity, high Hartmann number and turbulent cases are presented.