• 文献标题:   Computationally Efficient Surface Conductivity Graphene Model for Active Metadevices
  • 文献类型:   Article
  • 作  者:   PROKOPEVA LJ, WANG D, KUDYSHEV ZA, KILDISHEV AV
  • 作者关键词:   digamma function, drude dispersion, graphene, interband transition, intraband transition, random phase approximation rpa, surface conductivity, the kubo formula
  • 出版物名称:   IEEE TRANSACTIONS ON ANTENNAS PROPAGATION
  • ISSN:   0018-926X EI 1558-2221
  • 通讯作者地址:   Purdue Univ
  • 被引频次:   0
  • DOI:   10.1109/TAP.2020.2967335
  • 出版年:   2020

▎ 摘  要

We present our computationally efficient approach to modeling tunable graphene-based active metadevices, where the integral multivariate surface conductivity is reformulated in the time and frequency domains with physically interpretable and fast-to-compute integration-free terms. The derivation is built on an expansion to power series of z = -exp(-mu/k(B)T) that converges very fast for non-zero chemical potential values. The model reveals interesting decomposition of graphene response into a universal constant term plus a damped oscillator (digamma functions in the frequency domain) plus non-oscillating correction terms for near-zero potentials. The number of terms in that series is analyzed theoretically for a given accuracy. In practice, only a few series terms are required, making our approach very efficient for simulation of active metasurfaces compared with direct integration of Kubo's formulas. A simple performance test comparing run times with our code versus the numerical integration of the original Kubo's formulas demonstrates a speedup exceeding 10(3). The proposed models can be critical for the initial ellipsometric characterization of graphene and advanced global optimization of graphene-controlled metadevices.