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Tezsezen E, Yigci D, Ahmadpour A, Tasoglu S. AI-Based Metamaterial Design. ACS APPLIED MATERIALS & INTERFACES 2024; 16:29547-29569. [PMID: 38808674 PMCID: PMC11181287 DOI: 10.1021/acsami.4c04486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Revised: 05/16/2024] [Accepted: 05/16/2024] [Indexed: 05/30/2024]
Abstract
The use of metamaterials in various devices has revolutionized applications in optics, healthcare, acoustics, and power systems. Advancements in these fields demand novel or superior metamaterials that can demonstrate targeted control of electromagnetic, mechanical, and thermal properties of matter. Traditional design systems and methods often require manual manipulations which is time-consuming and resource intensive. The integration of artificial intelligence (AI) in optimizing metamaterial design can be employed to explore variant disciplines and address bottlenecks in design. AI-based metamaterial design can also enable the development of novel metamaterials by optimizing design parameters that cannot be achieved using traditional methods. The application of AI can be leveraged to accelerate the analysis of vast data sets as well as to better utilize limited data sets via generative models. This review covers the transformative impact of AI and AI-based metamaterial design for optics, acoustics, healthcare, and power systems. The current challenges, emerging fields, future directions, and bottlenecks within each domain are discussed.
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Affiliation(s)
- Ece Tezsezen
- Graduate
School of Science and Engineering, Koç
University, Istanbul 34450, Türkiye
| | - Defne Yigci
- School
of Medicine, Koç University, Istanbul 34450, Türkiye
| | - Abdollah Ahmadpour
- Department
of Mechanical Engineering, Koç University
Sariyer, Istanbul 34450, Türkiye
| | - Savas Tasoglu
- Department
of Mechanical Engineering, Koç University
Sariyer, Istanbul 34450, Türkiye
- Koç
University Translational Medicine Research Center (KUTTAM), Koç University, Istanbul 34450, Türkiye
- Bogaziçi
Institute of Biomedical Engineering, Bogaziçi
University, Istanbul 34684, Türkiye
- Koç
University Arçelik Research Center for Creative Industries
(KUAR), Koç University, Istanbul 34450, Türkiye
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Chen C, Fan Q, Li Z, Cai Z, Ye Z, Yin Y. Colorimetric Pressure Sensing by Plasmonic Decoupling of Silver Nanoparticles Confined within Polymeric Nanoshells. NANO LETTERS 2024; 24:3737-3743. [PMID: 38498412 DOI: 10.1021/acs.nanolett.4c00268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/20/2024]
Abstract
Employing a plasmonic decoupling mechanism, we report the design of a colorimetric pressure sensor that can respond to applied pressure with instant color changes. The sensor consists of a thin film of stacked uniform resorcinol-formaldehyde nanoshells with their inner surfaces functionalized with silver nanoparticles. Upon compression, the flexible polymer nanoshells expand laterally, inducing plasmonic decoupling between neighboring silver nanoparticles and a subsequent blue-shift. The initial color of the sensor is determined by the extent of plasmonic coupling, which can be controlled by tuning the interparticle distance through a seeded growth process. The sensing range can be conveniently customized by controlling the polymer shell thickness or incorporating hybrid nanoshells into various polymer matrices. The new colorimetric pressure sensors are easy to fabricate and highly versatile, allow for convenient tuning of the sensing range, and feature significant color shifts, holding great promise for a wide range of practical applications.
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Affiliation(s)
- Chen Chen
- Department of Chemistry, University of California, Riverside, Riverside, California 92521, United States
| | - Qingsong Fan
- Department of Chemistry, University of California, Riverside, Riverside, California 92521, United States
| | - Zhiwei Li
- Department of Chemistry, University of California, Riverside, Riverside, California 92521, United States
| | - Zepeng Cai
- Department of Chemistry, University of California, Riverside, Riverside, California 92521, United States
| | - Zuyang Ye
- Department of Chemistry, University of California, Riverside, Riverside, California 92521, United States
| | - Yadong Yin
- Department of Chemistry, University of California, Riverside, Riverside, California 92521, United States
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Abd El-Hameed AS, Elsheakh DM, Elashry GM, Abdallah EA. A Comparative Study of Narrow/Ultra-Wideband Microwave Sensors for the Continuous Monitoring of Vital Signs and Lung Water Level. SENSORS (BASEL, SWITZERLAND) 2024; 24:1658. [PMID: 38475194 DOI: 10.3390/s24051658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 11/28/2023] [Accepted: 01/31/2024] [Indexed: 03/14/2024]
Abstract
This article presents an in-depth investigation of wearable microwave antenna sensors (MASs) used for vital sign detection (VSD) and lung water level (LWL) monitoring. The study looked at two different types of MASs, narrowband (NB) and ultra-wideband (UWB), to decide which one was better. Unlike recent wearable respiratory sensors, these antennas are simple in design, low-profile, and affordable. The narrowband sensor employs an offset-feed microstrip transmission line, which has a bandwidth of 240 MHz at -10 dB reflection coefficient for the textile substrate. The UWB microwave sensor uses a CPW-fed line to excite an unbalanced U-shaped radiator, offering an extended simulated operating bandwidth from 1.5 to 10 GHz with impedance matching ≤-10 dB. Both types of microwave sensors are designed on a flexible RO 3003 substrate and textile conductive fabric attached to a cotton substrate. The specific absorption rate (SAR) of the sensors is measured at different resonant frequencies on 1 g and 10 g of tissue, according to the IEEE C95.3 standard, and both sensors meet the standard limit of 1.6 W/kg and 2 W/kg, respectively. A simple peak-detection algorithm is used to demonstrate high accuracy in the detection of respiration, heartbeat, and lung water content. Based on the experimental results on a child and an adult volunteer, it can be concluded that UWB MASs offer superior performance when compared to NB sensors.
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Affiliation(s)
- Anwer S Abd El-Hameed
- Microstrip Department, Electronics Research Institute (ERI), El Nozha 11843, Egypt
- Computer and Communication Department, Faculty of Engineering, Nahda University, Beni Suef 62746, Egypt
| | - Dalia M Elsheakh
- Microstrip Department, Electronics Research Institute (ERI), El Nozha 11843, Egypt
- Electrical Department, Faculty of Engineering and Technology, Badr University in Cairo, Badr 11829, Egypt
| | - Gomaa M Elashry
- Microstrip Department, Electronics Research Institute (ERI), El Nozha 11843, Egypt
| | - Esmat A Abdallah
- Microstrip Department, Electronics Research Institute (ERI), El Nozha 11843, Egypt
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Wang B, Lee TL, Qin Y. Advances in Smart Materials and Structures. MATERIALS (BASEL, SWITZERLAND) 2023; 16:7206. [PMID: 38005134 PMCID: PMC10673296 DOI: 10.3390/ma16227206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Accepted: 11/16/2023] [Indexed: 11/26/2023]
Abstract
Smart materials and structures are capable of active or passive changes in terms of shapes (geometries), properties, and mechanical or electromagnetic responses, in reaction to an external stimulus, such as light, temperature, stress, moisture, and electric or magnetic fields [...].
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Affiliation(s)
- Bing Wang
- Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China
| | - Tung Lik Lee
- ISIS Neutron and Muon Source, STFC Rutherford Appleton Laboratory, Harwell Campus, Didcot OX11 0QX, UK;
| | - Yang Qin
- School of Civil Aviation, Northwestern Polytechnical University, Xi’an 710072, China;
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Uzabakiriho PC, Wang M, Wang K, Ma C, Zhao G. High-Strength and Extensible Electrospun Yarn for Wearable Electronics. ACS APPLIED MATERIALS & INTERFACES 2022; 14:46068-46076. [PMID: 36169212 DOI: 10.1021/acsami.2c13182] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Stretchable conductive yarns have received significant consideration in the direction of wearable and flexible electronics. Wearable electronic structures need strong materials to assure stability, durability, and an extensive range of strain to develop their applications. Therefore, manufacturing high-performance yarn-based devices with ultrarobustness and great stretchability with a simple, cost-effective, and scalable method remains a great challenge for wearable electronics. Here, a highly stretchable yarn with high performance is fabricated, which comprises a core TPU nanoyarn, successively decorated with a liquid metal (LM) layer, and a protective outer nanofiber layer. The ultrarobust (40 MPa) and high-strain (548%) conducting yarn presents potential applications in assembling strain sensors. Moreover, such a unique conductive yarn can be used as a highly deformable, stretchable conductor to charge a mobile phone or for data transfer, a sensor to monitor human activities, and as an effective control for a hand robot as well as for smart thermal management textile application. This research gives promising applications in the field of flexible and wearable electronics.
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Affiliation(s)
- Pierre Claver Uzabakiriho
- Department of Electronic Science and Technology, University of Science and Technology of China, Road JinZhai 96, Hefei 230027, P. R. China
| | - Meng Wang
- Department of Electronic Science and Technology, University of Science and Technology of China, Road JinZhai 96, Hefei 230027, P. R. China
| | - Kai Wang
- Department of Electronic Science and Technology, University of Science and Technology of China, Road JinZhai 96, Hefei 230027, P. R. China
| | - Chao Ma
- Department of Electronic Science and Technology, University of Science and Technology of China, Road JinZhai 96, Hefei 230027, P. R. China
| | - Gang Zhao
- Department of Electronic Science and Technology, University of Science and Technology of China, Road JinZhai 96, Hefei 230027, P. R. China
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Bhatti DS, Saleem S, Imran A, Iqbal Z, Alzahrani A, Kim H, Kim KI. A Survey on Wireless Wearable Body Area Networks: A Perspective of Technology and Economy. SENSORS (BASEL, SWITZERLAND) 2022; 22:7722. [PMID: 36298073 PMCID: PMC9607184 DOI: 10.3390/s22207722] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 09/27/2022] [Accepted: 09/27/2022] [Indexed: 06/16/2023]
Abstract
The deployment of wearable or body-worn devices is increasing rapidly, and thus researchers' interests mainly include technical and economical issues, such as networking, interoperability, security, power optimization, business growth and regulation. To address these issues properly, previous survey papers usually focused on describing the wireless body area network architecture and network protocols. This implies that deployment issues and awareness issues of wearable and BAN devices are not emphasized in previous work. To defeat this problem, in this study, we have focused on feasibility, limitations, and security concerns in wireless body area networks. In the aspect of the economy, we have focused on the compound annual growth rate of these devices in the global market, different regulations of wearable/wireless body area network devices in different regions and countries of the world and feasible research projects for wireless body area networks. In addition, this study focuses on the domain of devices that are equally important to physicians, sportsmen, trainers and coaches, computer scientists, engineers, and investors. The outcomes of this study relating to physicians, fitness trainers and coaches indicate that the use of these devices means they would be able to treat their clients in a more effective way. The study also converges the focus of businessmen on the Annual Growth Rate (CAGR) and provides manufacturers and vendors with information about different regulatory bodies that are monitoring and regulating WBAN devices. Therefore, by providing deployment issues in the aspects of technology and economy at the same time, we believe that this survey can serve as a preliminary material that will lead to more advancements and improvements in deployment in the area of wearable wireless body area networks. Finally, we present open issues and further research direction in the area of wireless body area networks.
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Affiliation(s)
- David Samuel Bhatti
- Faculty of Information Technology, University of Central Punjab, Lahore 54590, Pakistan
| | - Shahzad Saleem
- School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad 44000, Pakistan
| | - Azhar Imran
- Faculty of Computing & A.I., Air University, Islamabad 42000, Pakistan
| | - Zafar Iqbal
- Faculty of Computing & A.I., Air University, Islamabad 42000, Pakistan
| | - Abdulkareem Alzahrani
- Computer Science & Engineering Department, Al Baha University, Al Baha 65799, Saudi Arabia
| | - HyunJung Kim
- Department of Computer Science and Engineering, Chungnam National University, Daejeon 34134, Korea
| | - Ki-Il Kim
- Department of Computer Science and Engineering, Chungnam National University, Daejeon 34134, Korea
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Zhou Y, Myant C, Stewart R. Multifunctional and stretchable graphene/textile composite sensor for human motion monitoring. J Appl Polym Sci 2022. [DOI: 10.1002/app.52755] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Affiliation(s)
- Yi Zhou
- Dyson School of Design Engineering Imperial College London London
| | - Connor Myant
- Dyson School of Design Engineering Imperial College London London
| | - Rebecca Stewart
- Dyson School of Design Engineering Imperial College London London
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