• 文献标题:   A Generalized Domain-Decomposition Stochastic FDTD Technique for Complex Nanomaterial and Graphene Structures
  • 文献类型:   Article, Proceedings Paper
  • 作  者:   KANTARTZIS NV, ZYGIRIDIS TT, ANTONOPOULOS CS, KANAI Y, TSIBOUKIS TD
  • 作者关键词:   computational electromagnetic, finitedifference method, nanomaterial, stochastic processe
  • 出版物名称:   IEEE TRANSACTIONS ON MAGNETICS
  • ISSN:   0018-9464 EI 1941-0069
  • 通讯作者地址:   Aristotle Univ Thessaloniki
  • 被引频次:   4
  • DOI:   10.1109/TMAG.2015.2477280
  • 出版年:   2016

▎ 摘  要

The systematic and accurate design process of realistic nanocomposite applications and finite-sized graphene setups with arbitrary media uncertainties is presented in this paper by a 3-D covariant/contravariant stochastic finite-difference time-domain method. The new technique uses extra nodes pertinent to a convex combination of all obtainable spatial increments and introduces a robust domain-decomposition formulation combined with Lagrange multipliers to considerably decrease the system overhead. In this way, the mean value and the standard deviation of field components are evaluated in a single run. The performance of the proposed algorithm is validated by various statistically varying nanoscale applications.