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Method of Moment Analysis of Carbon Nanotubes Embedded in A Lossy Dielectric Slab Using A Multilayer Dyadic Green's Function

Published

Author(s)

Edward Garboczi, Sumitra Dey, Ahmed Hassan, Deb Chatterjee

Abstract

Modeling the electromagnetic response of Carbon Nanotube (CNT) reinforced composites is inherently a three dimensional (3D) multi-scale problem that is challenging to solve in real-time for nondestructive evaluation applications. This article presents a fast and accurate full-wave electromagnetic solver based on a multi-layer dyadic Green's function approach. In this approach, we account for the effects of the dielectric slab, where the CNTs are embedded, without explicitly discretizing its interfaces. Due to their large aspect ratios, the CNTs are modeled as arbitrary thin wires (ATWs) and the method of moment (MOM) formulation with distributed line impedance is used to solve for their coupled currents. The accuracy of the inhouse solver is validated against commercial method of moment (MOM) and finite element method (FEM) solvers over a broad range of frequencies (from 1 GHz to 10 THz) and for a wide range of dielectric slab properties. Examples of 100 nm long vertical and horizontal CNTs embedded in a 1 m thick lossy dielectric substrate are presented. The in-house solver provides more than 50 x speed up while solving the vertical CNT, and more than 570 x speed up while solving the horizontal CNT compared to a commercial MOM solver over the GHz-THz frequency range considered.
Citation
IEEE Transactions on Antennas and Propagation
Volume
70
Issue
8

Keywords

Arbitrary thin wire (ATW), carbon nanotubes (CNTs), electric field integral equation (EFIE), method of moment (MOM), multilayer dyadic Green’s function, Sommerfeld integrals (SI)

Citation

Garboczi, E. , Dey, S. , Hassan, A. and Chatterjee, D. (2022), Method of Moment Analysis of Carbon Nanotubes Embedded in A Lossy Dielectric Slab Using A Multilayer Dyadic Green's Function, IEEE Transactions on Antennas and Propagation, [online], https://doi.org/10.1109/tap.2022.3161316, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=932678 (Accessed February 26, 2024)
Created March 28, 2022, Updated February 7, 2023