Automatic and inverse design of broadband terahertz absorber based on optimization of genetic algorithm for dual metasurfaces

Zhang, Ming; Zhang, Najiao; Zhang, Junyao; Zhang, Xiaoran; Dong, Peng; Wang, Baozhu; Yang, Lin; Wu, Ruihong; Hou, Weimin

doi:10.1364/oe.462865

Cited by 9 publications

(3 citation statements)

References 38 publications

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“…In the early stage, machine learning methods have been directly used in metamaterial simulation design [38,39]. However, when directly applying genetic algorithm, it is still necessary to output a large number of simulation results for optimization, which will consume a lot of software resources and experimental time.…”

Section: Genetic Algorithm Optimizationmentioning

confidence: 99%

Application of circuit analog optimization method in fast optimization of dynamically tunable terahertz metamaterial sensor

ZHANG

Jia

et al. 2023

Phys. Scr.

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The simulation design of terahertz metamaterial sensors with dynamically tunable parameters typically relies on manual parameter tuning for structural optimization. However, this method is often prone to subjective factors and suffer from issues such as frequent reconstruction of simulations and suboptimal optimization results. In this paper, we propose a circuit analog optimization method (CAOM), which constructs equivalent RLC parameters to achieve a highly fitted terahertz transmission spectrum frequency obtained from CST full-wave numerical simulation. To validate the effectiveness of the proposed model, we use a typical periodic structure unit, a double-nested split ring resonator (DSRR) terahertz metamaterial sensor, as the simulation object. DSRR is made of graphene, as a result, the opening size and Fermi level of two resonant rings are dynamically tunable. The results of the validation demonstrate that the adjustments of the sensor parameters can be effectively mapped by the changes of the equivalent RLC parameters. And the proposed equivalent circuit model has parameter substitutability in the simulation modeling of split ring resonator type sensors. The proposed equivalent circuit model exhibits parameter substitution in the simulation modeling of open resonant ring-type sensors. To achieve optimal sensing performance for the electromagnetically induced transparency (EIT)-like resonant peak (with a resonant frequency of f2) of the sensor under constrained conditions, we introduce the genetic algorithm (GA) into the equivalent circuit model to enable fast optimization of the opening sizes of the inner and outer resonant rings, as well as the Fermi level of the sensor. Moreover, the accuracy of the optimization results is verified by CST simulations. Finally, the optimization results show that the optimal FOM of the EIT-like resonant peak within the given parameter range is 0.712, which is greater than that of any randomly combined parameters. This numerical result demonstrates the effectiveness of the proposed CAOM.

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Section: Genetic Algorithm Optimizationmentioning

confidence: 99%

Application of circuit analog optimization method in fast optimization of dynamically tunable terahertz metamaterial sensor

ZHANG

Jia

et al. 2023

Phys. Scr.

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“…Metasurface (MS) refers to artificial composite structures or composite materials with extraordinary physical properties that natural materials do not have. The periodic arrangement of metamaterials makes them have extraordinary properties [5][6][7][8], which has attracted increasing attention from the communities of physics, materials science, photonics, and optoelectronics. In the past decades, abundant kinds of metamaterials have been proposed and designed.…”

Section: Introductionmentioning

confidence: 99%

Terahertz Biosensor Engineering Based on Quasi-BIC Metasurface with Ultrasensitive Detection

Peng,

Lin,

Yan

et al. 2024

Nanomaterials

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Terahertz (THz) sensors have attracted great attention in the biological field due to their nondestructive and contact-free biochemical samples. Recently, the concept of a quasi-bound state in the continuum (QBIC) has gained significant attention in designing biosensors with ultrahigh sensitivity. QBIC-based metasurfaces (MSs) achieve excellent performance in various applications, including sensing, optical switching, and laser, providing a reliable platform for biomaterial sensors with terahertz radiation. In this study, a structure-engineered THz MS consisting of a “double C” array has been designed, in which an asymmetry parameter α is introduced into the structure by changing the length of one subunit; the Q-factor of the QBIC device can be optimized by engineering the asymmetry parameter α. Theoretical calculation with coupling equations can well reproduce the THz transmission spectra of the designed THz QBIC MS obtained from the numerical simulation. Experimentally, we adopt an MS with α = 0.44 for testing arginine molecules. The experimental results show that different concentrations of arginine molecules lead to significant transmission changes near QBIC resonant frequencies, and the amplitude change is shown to be 16 times higher than that of the classical dipole resonance. The direct limit of detection for arginine molecules on the QBIC MS reaches 0.36 ng/mL. This work provides a new way to realize rapid, accurate, and nondestructive sensing of trace molecules and has potential application in biomaterial detection.

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“…Moreover, the resonance is particularly sensitive to the surrounding environment [11]. This unique property enables metasurfaces to provide an excellent platform for biosensing, from microwave to visible frequencies [12][13][14]. Therefore, the research of THz metasurface biosensor has been widely used in biological solution, microbial detection, tumor cell screening and other biomedical directions [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Polarization-Independent Multi-Resonance With High Q-Factor for Highly Sensitive Terahertz Sensors Based on All-Dielectric Metasurface

Zhang

Yang

et al. 2022

IEEE Photonics J.

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Since the fingerprints of numerous crucial biologic materials can be identified by terahertz (THz) spectroscopy, THz sensing have become an important approach of biological and medical detections. Particularly, benefit from the excellent capability of metasurface, strong interactions between the metasurface and THz waves can be realized, thus the THz sensing with high sensitivity becomes reality. However, the common configuration of metasurface-based THz sensor is composed of metallic subwavelength structure. Due to the inherent resistive loss of metal, it is still a great challenge to further enhance the quality factor (Q-factor) of resonance and sensitivity of THz sensor. In this work, we designed an all-dielectric metasurface with high Q-factor for highly sensitive THz sensors. The metasurface is a windmilllike structure consisting of four cuboids, and every adjacent two cuboids are arranged alternately vertically and horizontally. The transmission spectrum of metasurface exhibits four polarizationindependent and strong resonance peaks with high Q-factor in 0.1-2.5THz, and all of them show high sensitivity related to ambient refractive index. The transmitted structure and polarizationindependent resonances can relief the difficulty of measurement. We believe these studies will lay the theoretical and technical foundation for the design of high-sensitivity terahertz sensing.

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Automatic and inverse design of broadband terahertz absorber based on optimization of genetic algorithm for dual metasurfaces

Cited by 9 publications

References 38 publications

Application of circuit analog optimization method in fast optimization of dynamically tunable terahertz metamaterial sensor

Application of circuit analog optimization method in fast optimization of dynamically tunable terahertz metamaterial sensor

Terahertz Biosensor Engineering Based on Quasi-BIC Metasurface with Ultrasensitive Detection

Polarization-Independent Multi-Resonance With High Q-Factor for Highly Sensitive Terahertz Sensors Based on All-Dielectric Metasurface

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