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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.
Nuclear and Emerging Technologies for Space (NETS 2023)
May 7–11, 2023
Idaho Falls, ID|Snake River Event Center
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Nuclear Science and Engineering
Fusion Science and Technology
Wanted: Information leading to a neutron source for fusion energy R&D
The Department of Energy’s Office of Science published a notice in the March 27 Federal Register calling for input on technological approaches to a Fusion Prototypic Neutron Source (FPNS) for materials irradiation research under DOE-SC’s Fusion Energy Sciences program, as well as partnership models that could accelerate the construction and delivery of the facility. The request for information (RFI) calls for responses by May 11.
Monday, October 4, 2021|1:20–3:00PM EDT
Richard Vasques (The Ohio State Univ.)
Patrick S. Brantley (LLNL)
Thomas Folk (Univ. of Michigan)
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Theory and Generation Methods for N-ary Stochastic Mixtures with Markovian Mixing Statistics
Aaron Olson (Sandia), Shawn Pautz (Sandia), Dan Bolintineanu (Sandia), Emily Vu (Univ. of Michigan)
Benchmark Comparisons of Monte Carlo Algorithms for One-Dimensional N-ary Stochastic Media
Emily H. Vu (Univ. of Michigan), Patrick S. Brantley (LLNL), Aaron J. Olson (Sandia), Brian C. Kiedrowski (Univ. of Michigan)
Amnesia Radius Versions of Conditional Point Sampling for Radiation Transport in 1D Stochastic Media
Emily H. Vu (Univ. of Michigan), Aaron J. Olson (Sandia)
Markovian Binary Mixtures: Benchmarks for the Albedo Problem
Coline Larmier (CEA), Eugene d'Eon (NVIDIA), Andrea Zoia (CEA)
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