• 文献标题:   Efficient Krylov-based 3D FVTD schemes with adaptive domain decomposition for graphene and nanostructured EMC components
  • 文献类型:   Article, Proceedings Paper
  • 作  者:   KANTARTZIS NV, ZYGIRIDIS TT, TSIBOUKIS TD
  • 作者关键词:   domain decomposition algorithm, electromagnetic compatibility, finitevolume timedomain method, graphene, modelorder reduction, nanocomposite structure
  • 出版物名称:   INTERNATIONAL JOURNAL OF NUMERICAL MODELLINGELECTRONIC NETWORKS DEVICES FIELDS
  • ISSN:   0894-3370 EI 1099-1204
  • 通讯作者地址:   Aristotle Univ Thessaloniki
  • 被引频次:   1
  • DOI:   10.1002/jnm.2236
  • 出版年:   2018

▎ 摘  要

The rigorous design of arbitrarily shaped graphene and nanocomposite structures in realistic electromagnetic compatibility applications is presented in this paper by means of a combined finite-volume time-domain methodology. The new 3D formulation proposes a set of adjustable-order derivative approximators in general curvilinear coordinates and an adaptive domain decomposition to attain effective field flux representations of electromagnetic fields in areas with subwavelength attributes or infinitesimally thin wiring. Also, a fully passive reduced order macromodelling scheme, based on the Krylov truncation, is developed for the significant decrease of the state-space transfer matrix order, particularly when finite graphene sheets are to be analyzed. A key asset is that the necessary basis for the Krylov space is retrieved from a framework of weighted Laguerre functions, which do not require laborious orthogonalizations. Hence, highly accurate and economical discretizations with minimized dispersion errors are obtained. Numerical outcomes, addressing elaborate comparisons with reference data, from various nanostructured electromagnetic compatibility arrangements, certify the benefits of the featured technique, accelerated via graphics processing units and unveil its applicability.