ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
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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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Nuclear Science and Engineering
May 2025
Nuclear Technology
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Latest News
Will Palisades be the “comeback kid”?
Mike Mlynarek believes in this expression: “In the end it will be OK; and if it’s not OK, it’s not the end.”
As the site vice president at Palisades nuclear power plant in Covert Township, Mich., Mlynarek is overseeing one of the most exciting projects in the United States nuclear power industry. If all goes according to plan, Holtec’s Palisades plant will be splitting atoms once again by the end of 2025 and become the first U.S. nuclear facility to restart after being slated for decommissioning.
D. A. Knoll, H. Park, C. Newman
Nuclear Science and Engineering | Volume 167 | Number 2 | February 2011 | Pages 133-140
Technical Paper | doi.org/10.13182/NSE09-89
Articles are hosted by Taylor and Francis Online.
We present a new approach for the k-eigenvalue problem using a combination of classical power iteration and the Jacobian-free Newton-Krylov (JFNK) method. The method poses the k-eigenvalue problem as a fully coupled nonlinear system, which is solved by JFNK with an effective block preconditioning consisting of the power iteration and algebraic multigrid. We demonstrate effectiveness and algorithmic scalability of the method on a one-dimensional, one-group problem and two two-dimensional two-group problems and provide comparison to other efforts using similar algorithmic approaches.