ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Division Spotlight
Robotics & Remote Systems
The Mission of the Robotics and Remote Systems Division is to promote the development and application of immersive simulation, robotics, and remote systems for hazardous environments for the purpose of reducing hazardous exposure to individuals, reducing environmental hazards and reducing the cost of performing work.
Meeting Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
Standards Program
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
August 2025
Nuclear Technology
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Fusion Science and Technology
Latest News
Supreme Court rules against Texas in interim storage case
The Supreme Court voted 6–3 against Texas and a group of landowners today in a case involving the Nuclear Regulatory Commission’s licensing of a consolidated interim storage facility for spent nuclear fuel, reversing a decision by the 5th Circuit Court of Appeals to grant the state and landowners Fasken Land and Minerals (Fasken) standing to challenge the license.
G. D. Bouchey, B. V. Koen, C. S. Beightler
Nuclear Technology | Volume 12 | Number 1 | September 1971 | Pages 18-25
Technical Paper | Fuel Cycle | doi.org/10.13182/NT71-A15893
Articles are hosted by Taylor and Francis Online.
The dynamic programming algorithm is used to determine the optimal allocation of effort (measured in dollars or other appropriate units) to minimize the variance on the measurement of Material Unaccounted For (MUF) in a nuclear materials safeguards system. A multistage model of a hypothetical safeguards sampling system is formulated and optimized. The dynamic programming approach for optimization of a safeguards system allows more exact treatment of the model than is possible with classical optimization techniques and can easily be extended to handle large problems of the type that might be encountered in a real-world safeguards sampling system.
