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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
2024 ANS Winter Conference and Expo
November 17–21, 2024
Orlando, FL|Renaissance Orlando at SeaWorld
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
December 2024
Nuclear Technology
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November 2024
Latest News
Industry experts discuss nuclear’s role in powering data centers, meeting climate goals
As a primer to the American Nuclear Society Winter Conference and Expo, ANS Executive Director/Chief Executive Craig Piercy hosted a panel discussion titled “The State of Nuclear,” sponsored by the ANS Trustees of Nuclear. The October 29 discussion, the first in a two-part series, featured five thought leaders from the nuclear community as they reviewed the current state of nuclear power. The second panel took place during the ANS Winter Conference in Orlando, Fla., on November 18.
Dmitriy Y. Anistratov
Nuclear Science and Engineering | Volume 174 | Number 2 | June 2013 | Pages 150-162
Technical Paper | doi.org/10.13182/NSE12-28
Articles are hosted by Taylor and Francis Online.
The nonlinear diffusion acceleration (NDA) method is an efficient and flexible transport iterative scheme for solving reactor-physics problems. This paper presents a fast iterative algorithm for solving multigroup neutron transport eigenvalue problems in one-dimensional slab geometry. The proposed method is defined by a multilevel system of equations that includes multigroup and effective one-group low-order NDA equations. The eigenvalue is evaluated in an exact projected solution space of the smallest dimensionality. Numerical results that illustrate the performance of the new algorithm are demonstrated.