{"title":"细胞内粒子模拟的适当正交分解","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":"{\"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}","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}
Proper Orthogonal Decomposition for Particle-in-Cell Simulations
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
