{"title":"Proper Orthogonal Decomposition for Particle-in-Cell Simulations","authors":"J. L. Nicolini, D. Na, F. Teixeira","doi":"10.23919/USNC-URSI-NRSM.2019.8713025","DOIUrl":null,"url":null,"abstract":"The Proper Orthogonal Decomposition technique for model order reduction is applied to electromagnetic particle-in-cell algorithms. The resulting low-dimensional model can be used to achieve solutions with acceptable accuracy and reduced computational costs in problems with charged particle beams.","PeriodicalId":142320,"journal":{"name":"2019 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/USNC-URSI-NRSM.2019.8713025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The Proper Orthogonal Decomposition technique for model order reduction is applied to electromagnetic particle-in-cell algorithms. The resulting low-dimensional model can be used to achieve solutions with acceptable accuracy and reduced computational costs in problems with charged particle beams.
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
