{"title":"多尺度动力学等离子体分析的动态模式分解降阶模型","authors":"I. Nayak, F. Teixeira","doi":"10.23919/USNC-URSINRSM51531.2021.9336498","DOIUrl":null,"url":null,"abstract":"We demonstrate the efficacy of dynamic mode decomposition (DMD) based reduced-order model (ROM) in characterizing the transient behavior of full-order kinetic plasma simulation. The full-order kinetic plasma model makes use of the finite-element time-domain (FETD) based electromagnetic particle-in-cell (EM-PIC) algorithm. We apply the suggested reduced-order method for the case of an expanding plasma ball and study the effect of DMD reconstructed self fields on the particle dynamics in transient region. Such analysis is highly desirable for understanding underlying physics of complex plasmas as well as for reducing computation cost of high-fidelity plasma simulations.","PeriodicalId":180982,"journal":{"name":"2021 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Dynamic Mode Decomposition Reduced-Order Models for Multiscale Kinetic Plasma Analysis\",\"authors\":\"I. Nayak, F. Teixeira\",\"doi\":\"10.23919/USNC-URSINRSM51531.2021.9336498\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We demonstrate the efficacy of dynamic mode decomposition (DMD) based reduced-order model (ROM) in characterizing the transient behavior of full-order kinetic plasma simulation. The full-order kinetic plasma model makes use of the finite-element time-domain (FETD) based electromagnetic particle-in-cell (EM-PIC) algorithm. We apply the suggested reduced-order method for the case of an expanding plasma ball and study the effect of DMD reconstructed self fields on the particle dynamics in transient region. Such analysis is highly desirable for understanding underlying physics of complex plasmas as well as for reducing computation cost of high-fidelity plasma simulations.\",\"PeriodicalId\":180982,\"journal\":{\"name\":\"2021 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM)\",\"volume\":\"40 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-01-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/USNC-URSINRSM51531.2021.9336498\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/USNC-URSINRSM51531.2021.9336498","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Dynamic Mode Decomposition Reduced-Order Models for Multiscale Kinetic Plasma Analysis
We demonstrate the efficacy of dynamic mode decomposition (DMD) based reduced-order model (ROM) in characterizing the transient behavior of full-order kinetic plasma simulation. The full-order kinetic plasma model makes use of the finite-element time-domain (FETD) based electromagnetic particle-in-cell (EM-PIC) algorithm. We apply the suggested reduced-order method for the case of an expanding plasma ball and study the effect of DMD reconstructed self fields on the particle dynamics in transient region. Such analysis is highly desirable for understanding underlying physics of complex plasmas as well as for reducing computation cost of high-fidelity plasma simulations.