Machine learning assisted hepta band THz metamaterial absorber for biomedical applications

Jain, P. L.; Chhabra, Himanshu; Chauhan, Urvashi; Prakash, Krishna; Gupta, Akash; Soliman, Mohamed S.; Islam, Md. Shabiul; Islam, Mohammad Tariqul

doi:10.1038/s41598-023-29024-x

Cited by 53 publications

(20 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The author chose the titanium disk-shape as the top layer [ 51 ]. There are many other structures of metamaterials, such as the split-ring-cross-shaped resonator, modified T-shaped resonators, the geometrically gradient dielectric, cross-shaped graphene arrays, graphene-based rectangular gratings, molybdenum-Ge2Sb2Te5-molybdenum nanodisk structure and so on [ 52 , 53 , 54 , 55 , 56 , 57 ].…”

Section: Statistical Analysis Results Of Metamaterials Absorbermentioning

confidence: 99%

Focusing on the Development and Current Status of Metamaterial Absorber by Bibliometric Analysis

Li¹,

et al. 2023

Materials

View full text Add to dashboard Cite

In this paper, a total of 4770 effective documents about metamaterial absorbers were retrieved from the Web of Science Core Collection database. We scientifically analyzed the co-occurrence network of co-citation analysis by author, country/region, institutional, document, keywords co-occurrence, and the timeline of the clusters in the field of metamaterial absorber. Landy N. I.’s, with his cooperator et al., first experiment demonstrated a perfect metamaterial absorber microwave to absorb all incidents of radiation. From then on, a single-band absorber, dual-band absorber, triple-band absorber, multi-band absorber and broad-band absorber have been proposed and investigated widely. By integrating graphene and vanadium dioxide to the metamaterial absorber, the frequency-agile functionality can be realized. Tunable absorption will be very important in the future, especially metamaterial absorbers based on all-silicon. This paper provides a new research method to study and evaluate the performance of metamaterial absorbers. It can also help new researchers in the field of metamaterial absorbers to achieve the development of research content and to understand the recent progress.

show abstract

Section: Statistical Analysis Results Of Metamaterials Absorbermentioning

confidence: 99%

Focusing on the Development and Current Status of Metamaterial Absorber by Bibliometric Analysis

Li¹,

et al. 2023

Materials

View full text Add to dashboard Cite

show abstract

“…As the most commonly used network, the convolutional neural network (CNN) plays an important role in image processing, object recognition, emotion recognition, and so on [22,23]. It also serves as an auxiliary tool to assist research in other fields, such as the metamaterial [24].…”

Section: Neural Network Modelmentioning

confidence: 99%

Identification of Terahertz Link Modulation in Atmospheric Weather Conditions

Qiao

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

With the rapid increase of wireless connectivity, current spectrum resources are not enough for significant requirements for large data capacity. Research interests are moving towards the high-frequency band in the terahertz range for wider bandwidth. However, multipath scattering and induced time delay, suffered by terahertz links propagating in outdoor weather, lead inevitably to increasing expenses in baseband signal processing. This trades away the advantage of low time latency and high stability, which are commonly considered as important merits of terahertz wireless communication techniques. To reduce the burden in signal processing and explore the feasibility of modulation identification in the terahertz band, a method of wireless link modulation identification is considered as a potential solution. In this work, it is investigated theoretically by employing two kinds of neural networks: the convolutional neural network (CNN) and the long short-term memory network (LSTM). Link deterioration caused by different atmospheric weather is introduced into the theoretical model, and the performance of this method is evaluated. Results show that the identification accuracy of the constructed neural networks can be up to 99%, which means such a method is efficient for identification of the modulation format of terahertz wireless links under different weather conditions. This work demonstrates the feasibility of modulation identification in outdoor terahertz communication scenarios and provides specific references.

show abstract

“…Metamaterial absorbers can be broadly classified into two categories: narrow-and broad-band absorbers [18]. Narrow-band absorbers have a high absorption efficiency over a narrow frequency range and are typically used in sensing and filtering applications [19,20]. On the other hand, broadband absorbers have a high absorption efficiency over a wide frequency range and are used in a range of applications, including photovoltaics where they are used to improve the efficiency of solar cells [21], radar detection reduction where they are used to reduce the radar cross-section of objects [22], as well as thermal emitters [23] and stealth technology [24].…”

Section: Introductionmentioning

confidence: 99%

Metamaterial as perfect absorber for high sensitivity refractive index based biosensing applications at infrared frequencies

Mostufa

Yari

Rezaei

et al. 2023

J. Phys. D: Appl. Phys.

View full text Add to dashboard Cite

In this paper, we introduce a novel design of a metamaterial unit cell absorber, which is based on a metal/insulator/metal sandwich structure. The design is subjected to comprehensive finite element method (FEM) computational analysis to ensure accurate and reliable results. The proposed metamaterial sandwich structure demonstrates exceptional absorption performance, achieving a nearly perfect absorption rate of 99.996% at the resonance infrared frequency of 39.8 THz. To provide a detailed theoretical explanation of nearly perfect absorption, we employ the effective medium theory, impedance matching, and field distribution analysis. Additionally, we have optimized the structural parameters of the sensor to maximize its absorption peak. This includes optimizing the thickness of the gold (Au) layer (from 0.03 to 0.28 μm), the distance between the L shape corners (from 0.60 to 0.90 μm), and the thickness of SiC dielectric spacer (from 0.20 to 0.45 μm). Furthermore, we showcase the remarkable sensitivity of the proposed metamaterial unit cell in detecting subtle changes in the refractive index through the implementation of a sensing medium setup in our model. Remarkably, we achieve a frequency shift sensitivity of 3.74 THz/RIU, along with a quality factor (Q-factor) of 10.33, for a wide range of refractive indices (1.0 - 2.0). Moreover, for cancer detection, we attain a sensitivity of 3.5 THz/RIU. These findings highlight the exceptional performance of our approach in accurately detecting changes in refractive index, making it a promising candidate for various sensing applications. The novelty of our work lies in the design of a metamaterial unit cell structure. This configuration exhibits several noteworthy features, including wide incident angle (θ) coverage up to 60o, polarization insensitivity, exceptional frequency shift sensitivity, high absorption peaks across a wide range of refractive indices, and the ability to distinguish cancer cells from healthy ones.

show abstract

Machine learning assisted hepta band THz metamaterial absorber for biomedical applications

Cited by 53 publications

References 58 publications

Focusing on the Development and Current Status of Metamaterial Absorber by Bibliometric Analysis

Focusing on the Development and Current Status of Metamaterial Absorber by Bibliometric Analysis

Identification of Terahertz Link Modulation in Atmospheric Weather Conditions

Metamaterial as perfect absorber for high sensitivity refractive index based biosensing applications at infrared frequencies

Contact Info

Product

Resources

About