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Proceedings Paper

Computationally efficient surface conductivity graphene model for tunable graphene-based devices (Conference Presentation)
Author(s): Ludmila J. Prokopeva; Huan Jiang; Alexander V. Kildishev; Di Wang; Sajid Choudhury

Paper Abstract

We present our computationally efficient approach to modeling graphene-based active metadevices followed by the design and optimization of a graphene-based tunable refractive index (RI) sensor with ultra-high sensitivity. The classical integral multi-variate surface conductivity is reformulated in the time and frequency domains with physically interpretable and fast-to-compute integration-free terms. The model reveals 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. We showcase the advantage of our approach by optimizing an ultrasensitive, tunable RI sensor with graphene and hexagonal boron nitride nanoribbons.

Paper Details

Date Published: 10 March 2020
Proc. SPIE 11282, 2D Photonic Materials and Devices III, 112820W (10 March 2020); doi: 10.1117/12.2547341
Show Author Affiliations
Ludmila J. Prokopeva, Purdue Univ. (United States)
Huan Jiang, Purdue Univ. (United States)
Alexander V. Kildishev, Purdue Univ. (United States)
Di Wang, Purdue Univ. (United States)
Sajid Choudhury, Purdue Univ. (United States)

Published in SPIE Proceedings Vol. 11282:
2D Photonic Materials and Devices III
Arka Majumdar; Carlos M. Torres Jr.; Hui Deng, Editor(s)

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