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2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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A webinar, and a new opportunity to take ANS’s CNP Exam
Applications are now open for the fall 2025 testing period for the American Nuclear Society’s Certified Nuclear Professional (CNP) exam. Applications are being accepted through October 14, and only three testing sessions are offered per year, so it is important to apply soon. The test will be administered from November 12 through December 16. To check eligibility and schedule your exam, click here.
In addition, taking place tomorrow (September 19) from 12:00 noon to 1:00 p.m. (CDT), ANS will host a new webinar, “How to Become a Certified Nuclear Professional.” More information is available below in this article.
Weixiong Zheng, Ryan G. McClarren, Jim E. Morel
Nuclear Science and Engineering | Volume 189 | Number 3 | March 2018 | Pages 259-271
Technical Paper | doi.org/10.1080/00295639.2017.1407592
Articles are hosted by Taylor and Francis Online.
In this work, we present a subdomain discontinuous least-squares (SDLS) scheme for neutronics problems. Least-squares (LS) methods are known to be inaccurate for problems with sharp total cross-section interfaces. In addition, the LS scheme is known not to be globally conservative in heterogeneous problems. In problems where global conservation is important, e.g., k-eigenvalue problems, a conservative treatment must be applied. In this study, we propose an SDLS method that retains global conservation and, as a result, gives high accuracy on eigenvalue problems. Such a method resembles the LS formulation in each subdomain without a material interface and differs from LS in that an additional LS interface term appears for each interface. The scalar flux is continuous in each subdomain with the continuous finite element method while discontinuous on interfaces for every pair of contiguous subdomains. The SDLS numerical results are compared with those obtained from other numerical methods with test problems having material interfaces. High accuracy of scalar flux in fixed-source problems and in eigenvalue problems is demonstrated.