waveguide system
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2021 ◽  
Author(s):  
Ji Pan ◽  
Shi Qianhan ◽  
Zheng Ling ◽  
Wang guanghui ◽  
chen fang

Abstract A super high sensitivity plasmonic temperature sensor via a metal-insulator-metal (MIM) waveguide system is presented in this paper, the waveguide structure is composed of a square ring shape resonator with nanorods defects and a nanodisk resonator. Finite difference-time domain method (FDTD) is used to study the structure’s transmission characteristics and electromagnetic field distributions. Results show that sensitivity will be increased due to the gap plasmonic in the nanorod defect, the nanodisk resonator provides more plasmonic resonant modes for sensing. The positions and intensities of plasmonic resonant modes can be tuned by the radius of nanorod defects and coupling distance. The calculated maximum refractive index and FOM are and 3500, respectively. Compared to the structure without nanorods, the sensitivity is enhanced 33% for mode 1. For temperature sensing, the proposed structure possesses a relatively high sensitivity of about . The proposed plasmonic structure provides a basis for designing high sensitivity nano-biosensing, refractive index sensing.


2021 ◽  
Vol 2015 (1) ◽  
pp. 012026
Author(s):  
Vladimir Burtsev ◽  
Tatyana Vosheva ◽  
Dmitry Filonov

Abstract Parametric retrieval of electromagnetic properties is important for both new materials characterization and an accurate design of devices. While quite a few techniques have been developed over the years, precise mapping of high-permittivity samples remain challenging. Here we advance a so-called micro-strip technique, where transmission coefficients of a waveguide system with an analyte on top are used to extract electromagnetic parameters of the later. Our cross-like strip line configuration has a split ring resonator on one edge and an open circuit termination on another. This design allows performing a simultaneous test of cylindrical and rectangular samples. Our new post-processing scheme was tested on a water-filled container and showed 96.3% accuracy, assessed by comparing our results with tabulated data.


Author(s):  
I. J. Islamov ◽  
E. Z. Hunbataliyev ◽  
A. E. Zulfugarli

2021 ◽  
Author(s):  
Qingmei Hu ◽  
Junhua Dong ◽  
Jianbo Yin ◽  
Bingsuo ZOU ◽  
Yongyou Zhang

2021 ◽  
Author(s):  
Igor Ianusik ◽  
Anastasia Kalinina ◽  
Aleksander Morozov ◽  
Jin-Ho Lee

2021 ◽  
Vol 127 (13) ◽  
Author(s):  
Giuseppe Buonaiuto ◽  
Federico Carollo ◽  
Beatriz Olmos ◽  
Igor Lesanovsky

2021 ◽  
Vol 170 ◽  
pp. 112457
Author(s):  
A. Xydou ◽  
T. Goodman ◽  
R. Chavan ◽  
M. Vagnoni ◽  
H. Torreblanca ◽  
...  
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