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
Accelerator Applications
The division was organized to promote the advancement of knowledge of the use of particle accelerator technologies for nuclear and other applications. It focuses on production of neutrons and other particles, utilization of these particles for scientific or industrial purposes, such as the production or destruction of radionuclides significant to energy, medicine, defense or other endeavors, as well as imaging and diagnostics.
Meeting Spotlight
International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2025)
April 27–30, 2025
Denver, CO|The Westin Denver Downtown
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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DOE-EM awards $74.8M Oak Ridge support services contract
The Department of Energy’s Office of Environmental Management has awarded a five-year contract worth up to $74.8 million to Independent Strategic Management Solutions for professional support services at the Oak Ridge Office of Environmental Management site in Oak Ridge, Tenn.
M. Michelini
Nuclear Science and Engineering | Volume 42 | Number 2 | November 1970 | Pages 162-170
Technical Paper | doi.org/10.13182/NSE70-A19497
Articles are hosted by Taylor and Francis Online.
Adequate knowledge of the transmission probabilities of neutrons through control blades filled with round tubes containing absorbing material is required in reactor design. Starting from a strict formulation of the problem, some computational approximations are introduced which lead to compact expressions directly available to the designer. The accuracy of the proposed formulas is then investigated in conjunction with a theoretical and numerical analysis of the confidence limit of the most advanced method (P1 blackness theory) of accounting for control blades in diffusion calculations. Finally, comparisons with experimental integral data (Rossi-α measurements) confirm that the accuracy of the proposed formulas is consistent with the precision of the method.