Adaptive Finite Element Method for Simulating Graphene Surface Plasmon Resonance

In this paper, we present the design of a posteriori error estimator for the plasmon phenomenon on the graphene surface and propose a method to achieve local high-precision numerical calculations when plasmon phenomena occur on the graphene surface. We provide a lower bound estimate for the posteriori error estimator, along with a proof of convergence. Specifically, the constructed posterior error estimator enables local refinement in regions where the error is significant at the graphene interface. Firstly, we outline the construction of the posterior error estimator and provide the proof of its lower bound. Secondly, we establish the convergence of the Adaptive Edge Finite Element Method (AEFEM). Finally, we present numerical results that validate the effectiveness of the error estimator.

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Publication Details

Journal
Advances in Applied Mathematics and Mechanics
Published
2025-04-21
DOI
https://doi.org/10.4208/aamm.oa-2024-0069
Primary Topic
Photonic and Optical Devices
Type
article
Field-Weighted Citation Impact
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article

Adaptive Finite Element Method for Simulating Graphene Surface Plasmon Resonance

Jingrun Chen, Xuhong Liu
Advances in Applied Mathematics and Mechanics
Photonic and Optical Devices
article

Adaptive Finite Element Method for Simulating Graphene Surface Plasmon Resonance

Jingrun Chen, Xuhong Liu
article en

Abstract

In this paper, we present the design of a posteriori error estimator for the plasmon phenomenon on the graphene surface and propose a method to achieve local high-precision numerical calculations when plasmon phenomena occur on the graphene surface. We provide a lower bound estimate for the posteriori error estimator, along with a proof of convergence. Specifically, the constructed posterior error estimator enables local refinement in regions where the error is significant at the graphene interface. Firstly, we outline the construction of the posterior error estimator and provide the proof of its lower bound. Secondly, we establish the convergence of the Adaptive Edge Finite Element Method (AEFEM). Finally, we present numerical results that validate the effectiveness of the error estimator.

Advances in Applied Mathematics and MechanicsVol. 18(1)
University of Science and Technology of China (CN), Xiangtan University (CN)
Affordable and clean energy
Openalex Percentile: Top 94%
Photonic and Optical Devices
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