Hu Zhang , Da Li , Tianliang Hu , Guangchun Zhang , Duoyu Jiang , Qianwei Chen , Henglin Hu
{"title":"SphiNx: A SN-DFEM neutron transport code based on the MOOSE framework","authors":"Hu Zhang , Da Li , Tianliang Hu , Guangchun Zhang , Duoyu Jiang , Qianwei Chen , Henglin Hu","doi":"10.1016/j.net.2025.103641","DOIUrl":null,"url":null,"abstract":"<div><div>SphiNx is an SN-DFEM-based neutron transport code built on the MOOSE framework, designed to solve both eigenvalue and fixed-source problems with support for anisotropic scattering. Two eigenvalue-solving algorithms, the traditional power iteration (PI) accelerated by the coarse mesh finite difference (CMFD) method and the Jacobian-Free Newton-Krylov (JFNK) method, are implemented in SphiNx with the support of solvers provided by MOOSE. The code's accuracy is validated through benchmarks, including a 1D anisotropic scattering problem, the IAEA 2D problem, and the Takeda 3D benchmark, showing eigenvalue discrepancies below 100 pcm and flux errors under 5 %. In the conducted performance comparisons, the CMFD-accelerated PI method demonstrates reduced computational time relative to the JFNK method. SphiNx also demonstrates strong parallel efficiency, maintaining a 46.11 % efficiency with a 1008-fold increase in processor count.</div></div>","PeriodicalId":19272,"journal":{"name":"Nuclear Engineering and Technology","volume":"57 9","pages":"Article 103641"},"PeriodicalIF":2.6000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nuclear Engineering and Technology","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1738573325002098","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/9 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"NUCLEAR SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
SphiNx is an SN-DFEM-based neutron transport code built on the MOOSE framework, designed to solve both eigenvalue and fixed-source problems with support for anisotropic scattering. Two eigenvalue-solving algorithms, the traditional power iteration (PI) accelerated by the coarse mesh finite difference (CMFD) method and the Jacobian-Free Newton-Krylov (JFNK) method, are implemented in SphiNx with the support of solvers provided by MOOSE. The code's accuracy is validated through benchmarks, including a 1D anisotropic scattering problem, the IAEA 2D problem, and the Takeda 3D benchmark, showing eigenvalue discrepancies below 100 pcm and flux errors under 5 %. In the conducted performance comparisons, the CMFD-accelerated PI method demonstrates reduced computational time relative to the JFNK method. SphiNx also demonstrates strong parallel efficiency, maintaining a 46.11 % efficiency with a 1008-fold increase in processor count.
期刊介绍：
Nuclear Engineering and Technology (NET), an international journal of the Korean Nuclear Society (KNS), publishes peer-reviewed papers on original research, ideas and developments in all areas of the field of nuclear science and technology. NET bimonthly publishes original articles, reviews, and technical notes. The journal is listed in the Science Citation Index Expanded (SCIE) of Thomson Reuters.
NET covers all fields for peaceful utilization of nuclear energy and radiation as follows:
1) Reactor Physics
2) Thermal Hydraulics
3) Nuclear Safety
4) Nuclear I&C
5) Nuclear Physics, Fusion, and Laser Technology
6) Nuclear Fuel Cycle and Radioactive Waste Management
7) Nuclear Fuel and Reactor Materials
8) Radiation Application
9) Radiation Protection
10) Nuclear Structural Analysis and Plant Management & Maintenance
11) Nuclear Policy, Economics, and Human Resource Development
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
