{"title":"一种新的瞬变电磁分析时空构建块方法","authors":"Shu Wang, Z. Peng","doi":"10.1109/EPEPS47316.2019.193218","DOIUrl":null,"url":null,"abstract":"This paper investigates a space-time building block methodology for efficient time-domain analysis of multi-scale, locally periodic structures. By leveraging the principles of linear superposition and space-time causality in wave physics, the 4D simulation domain is represented by a few space-time building blocks, which are constructed upon 3D spatial unit cell and 1D time unit. The work results in novel time-evolution schemes, which exhibit high-order accuracy and achieve concurrency and parallelism in both spatial and temporal dimensions. The outcomes lead to significantly reduced computational resources. The capability and benefit of proposed algorithms are illustrated through representative applications.","PeriodicalId":304228,"journal":{"name":"2019 IEEE 28th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Novel Space-Time Building Block Methodology for Transient Electromagnetic Analysis\",\"authors\":\"Shu Wang, Z. Peng\",\"doi\":\"10.1109/EPEPS47316.2019.193218\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper investigates a space-time building block methodology for efficient time-domain analysis of multi-scale, locally periodic structures. By leveraging the principles of linear superposition and space-time causality in wave physics, the 4D simulation domain is represented by a few space-time building blocks, which are constructed upon 3D spatial unit cell and 1D time unit. The work results in novel time-evolution schemes, which exhibit high-order accuracy and achieve concurrency and parallelism in both spatial and temporal dimensions. The outcomes lead to significantly reduced computational resources. The capability and benefit of proposed algorithms are illustrated through representative applications.\",\"PeriodicalId\":304228,\"journal\":{\"name\":\"2019 IEEE 28th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 28th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EPEPS47316.2019.193218\",\"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 IEEE 28th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EPEPS47316.2019.193218","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Novel Space-Time Building Block Methodology for Transient Electromagnetic Analysis
This paper investigates a space-time building block methodology for efficient time-domain analysis of multi-scale, locally periodic structures. By leveraging the principles of linear superposition and space-time causality in wave physics, the 4D simulation domain is represented by a few space-time building blocks, which are constructed upon 3D spatial unit cell and 1D time unit. The work results in novel time-evolution schemes, which exhibit high-order accuracy and achieve concurrency and parallelism in both spatial and temporal dimensions. The outcomes lead to significantly reduced computational resources. The capability and benefit of proposed algorithms are illustrated through representative applications.