Numerical Methods for Electromagnetic Modeling of Graphene: A Review

Kaikun Niu, Ping Li, Zhixiang Huang, Li Jun Jiang, Hakan Bagci

Research output: Contribution to journalArticlepeer-review

22 Scopus citations


Graphene's remarkable electrical, mechanical, thermal, and chemical properties have made this frontier of many other two-dimensional materials a focus of significant research interest in the last decade. Many theoretical studies of the physical mechanisms behind these properties have been followed by those investing the graphene's practical use in various fields of engineering. Electromagnetics, optics, and photonics are among these fields, where potential benefits of graphene in improving device/system performance have been studied. These studies are often carried out using simulation tools. To this end, many numerical methods have been developed to characterize electromagnetic field/wave interactions on graphene sheets and graphene-based devices. In this paper, most popular of these methods are reviewed and their advantages and disadvantages are discussed. Numerical examples are provided to demonstrate their applicability to real-life electromagnetic devices and systems.
Original languageEnglish (US)
Pages (from-to)1-1
Number of pages1
JournalIEEE Journal on Multiscale and Multiphysics Computational Techniques
StatePublished - 2020

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01


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