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用于先进天线应用的具有瞬态特性的基于石墨烯的导电材料的稳健时域有限差分建模。

Robust FDTD Modeling of Graphene-Based Conductive Materials with Transient Features for Advanced Antenna Applications.

作者信息

Zapata Cano Pablo H, Amanatiadis Stamatios, Zaharis Zaharias D, Yioultsis Traianos V, Lazaridis Pavlos I, Kantartzis Nikolaos V

机构信息

School of Electrical and Computer Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece.

School of Computing and Engineering, University of Huddersfield, Huddersfield HD1 3DH, UK.

出版信息

Nanomaterials (Basel). 2023 Jan 18;13(3):384. doi: 10.3390/nano13030384.

DOI:10.3390/nano13030384
PMID:36770346
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9920562/
Abstract

The accurate modeling of frequency-dispersive materials is a challenging task, especially when a scheme with a transient nature is utilized, as it is the case of the finite-difference time-domain method. In this work, a novel implementation for the modeling of graphene-oriented dispersive materials via the piecewise linear recursive convolution scheme, is introduced, while the time-varying conductivity feature is, additionally, launched. The proposed algorithm is employed to design a reduced graphene-oxide antenna operating at 6 GHz. The transient response to graphene's conductivity variations is thoroughly studied and a strategy to enhance the antenna performance by exploiting the time-varying graphene oxide is proposed. Finally, the use of the featured antenna for modern sensing applications is demonstrated through the real-time monitoring of voltage variation.

摘要

对频率色散材料进行精确建模是一项具有挑战性的任务,尤其是当采用具有瞬态特性的方案时,例如时域有限差分法的情况。在这项工作中,介绍了一种通过分段线性递归卷积方案对石墨烯取向色散材料进行建模的新颖实现方式,同时还引入了时变电导率特性。所提出的算法用于设计一个工作在6GHz的还原氧化石墨烯天线。深入研究了对石墨烯电导率变化的瞬态响应,并提出了一种通过利用时变氧化石墨烯来提高天线性能的策略。最后,通过对电压变化的实时监测展示了这种特色天线在现代传感应用中的使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b250/9920562/96f2d7108a73/nanomaterials-13-00384-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b250/9920562/104fe6416274/nanomaterials-13-00384-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b250/9920562/1813a80178ca/nanomaterials-13-00384-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b250/9920562/ec3479984e86/nanomaterials-13-00384-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b250/9920562/20ade1885792/nanomaterials-13-00384-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b250/9920562/ed0eb6cdd74d/nanomaterials-13-00384-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b250/9920562/29c223995fce/nanomaterials-13-00384-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b250/9920562/c40162212b70/nanomaterials-13-00384-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b250/9920562/df5aa1e53958/nanomaterials-13-00384-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b250/9920562/39553930f31e/nanomaterials-13-00384-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b250/9920562/96f2d7108a73/nanomaterials-13-00384-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b250/9920562/104fe6416274/nanomaterials-13-00384-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b250/9920562/1813a80178ca/nanomaterials-13-00384-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b250/9920562/ec3479984e86/nanomaterials-13-00384-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b250/9920562/20ade1885792/nanomaterials-13-00384-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b250/9920562/ed0eb6cdd74d/nanomaterials-13-00384-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b250/9920562/29c223995fce/nanomaterials-13-00384-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b250/9920562/c40162212b70/nanomaterials-13-00384-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b250/9920562/df5aa1e53958/nanomaterials-13-00384-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b250/9920562/39553930f31e/nanomaterials-13-00384-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b250/9920562/96f2d7108a73/nanomaterials-13-00384-g010.jpg

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本文引用的文献

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A Critical Analysis on the Sensitivity Enhancement of Surface Plasmon Resonance Sensors with Graphene.石墨烯增强表面等离子体共振传感器灵敏度的批判性分析
Nanomaterials (Basel). 2022 Jul 26;12(15):2562. doi: 10.3390/nano12152562.
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Multi-mode surface plasmon resonance absorber based on dart-type single-layer graphene.基于飞镖型单层石墨烯的多模表面等离子体共振吸收器。
RSC Adv. 2022 Mar 9;12(13):7821-7829. doi: 10.1039/d2ra00611a. eCollection 2022 Mar 8.
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Review on Graphene-, Graphene Oxide-, Reduced Graphene Oxide-Based Flexible Composites: From Fabrication to Applications.基于石墨烯、氧化石墨烯、还原氧化石墨烯的柔性复合材料综述:从制备到应用
Materials (Basel). 2022 Jan 28;15(3):1012. doi: 10.3390/ma15031012.
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Nanomaterials (Basel). 2021 Sep 16;11(9):2414. doi: 10.3390/nano11092414.
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