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.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Latest Magazine Issues
May 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
June 2026
Nuclear Technology
Fusion Science and Technology
Latest News
American Nuclear Society condemns attack on UAE's Barakah nuclear power plant
Washington, D.C. — The American Nuclear Society (ANS) issued the following statement:
"The American Nuclear Society condemns today's drone attack on the outer perimeter of the Barakah Nuclear Power Plant in the United Arab Emirates. The IAEA has confirmed that radiation levels are normal and no injuries have been reported. The safety systems performed as designed, a demonstration of the layered protections built into robust modern nuclear facilities. Incidents like this reinforce the importance of the IAEA's calls for maximum military restraint around nuclear power reactors, and of full adherence by all combatants to the IAEA's seven pillars for nuclear safety and security during armed conflict."
Edward W. Larsen, Blake W. Kelley
Nuclear Science and Engineering | Volume 178 | Number 1 | September 2014 | Pages 1-15
Technical Paper | doi.org/10.13182/NSE13-47
Articles are hosted by Taylor and Francis Online.
The coarse-mesh finite difference (CMFD) and the coarse-mesh diffusion synthetic acceleration (CMDSA) methods are widely used, independently developed methods for accelerating the iterative convergence of deterministic neutron transport calculations. In this paper, we show that these methods have the following theoretical relationship: If the standard notion of diffusion synthetic acceleration as a fine-mesh method is straightforwardly generalized to a coarse-mesh method, then the linearized form of the CMFD method is algebraically equivalent to a CMDSA method. We also show theoretically (via Fourier analysis) and experimentally (via simulations) that for fixed-source problems, the CMDSA and CMFD methods have nearly identical convergence rates. Our numerical results confirm the close theoretically predicted relationship between these methods.