Stretchable 3D Wideband Dipole Antennas from Mechanical Assembly for On-Body Communication

Zhu, Jia; Hu, Zhihui; Zhang, Senhao; Zhang, Xianzhe; Zhou, Honglei; Xing, Chenghao; Guo, Huaiqian; Qiu, Dong; Hu, Yang; Song, Chaoyun; Cheng, Huanyu

doi:10.1021/acsami.1c24651

Cited by 15 publications

(11 citation statements)

References 27 publications

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“…Personal data security can also be improved by locally processing the signals. With the continuous efforts on the improvement of sensors, microprocessor units, computing techniques, wireless communication, and AIoT [ 215 – 218 ], we believe that ML-enhanced flexible mechanical sensing can further improve our life quality to higher levels, ranging from health monitoring, HMI, motion/gesture identification, e-skin, to other related areas.…”

Section: Discussionmentioning

confidence: 99%

Machine Learning-Enhanced Flexible Mechanical Sensing

et al. 2023

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To realize a hyperconnected smart society with high productivity, advances in flexible sensing technology are highly needed. Nowadays, flexible sensing technology has witnessed improvements in both the hardware performances of sensor devices and the data processing capabilities of the device’s software. Significant research efforts have been devoted to improving materials, sensing mechanism, and configurations of flexible sensing systems in a quest to fulfill the requirements of future technology. Meanwhile, advanced data analysis methods are being developed to extract useful information from increasingly complicated data collected by a single sensor or network of sensors. Machine learning (ML) as an important branch of artificial intelligence can efficiently handle such complex data, which can be multi-dimensional and multi-faceted, thus providing a powerful tool for easy interpretation of sensing data. In this review, the fundamental working mechanisms and common types of flexible mechanical sensors are firstly presented. Then how ML-assisted data interpretation improves the applications of flexible mechanical sensors and other closely-related sensors in various areas is elaborated, which includes health monitoring, human–machine interfaces, object/surface recognition, pressure prediction, and human posture/motion identification. Finally, the advantages, challenges, and future perspectives associated with the fusion of flexible mechanical sensing technology and ML algorithms are discussed. These will give significant insights to enable the advancement of next-generation artificial flexible mechanical sensing.

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Section: Discussionmentioning

confidence: 99%

Machine Learning-Enhanced Flexible Mechanical Sensing

et al. 2023

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“…However, the modified LIG (e.g., Ag-doped LIG) effectively solves this problem. As a typical example, Zhu et al adopted Ag-doped LIG to prepare stretchable dipole antennas for wireless transmission [153] . Meanwhile, a rectenna that continuously harvests energy from external RF sources (e.g., 5G, microwave oven, and Wi-Fi) can be prepared by connecting the dipole antenna and rectifying circuit.…”

Section: Electromagnetic Devicesmentioning

confidence: 99%

“…Silicone substrate allows arbitrary deformation of a dipole antenna, such as stretching, bending, and twisting in Figure 11B. Significantly, the radiation property of the serpentine dipole antenna is independent of deformation (e.g., bending and twisting in Figure 11C) [153] , which is important for wearable radiofrequency antennas. LIGbased antennas with large fracture strain and simple fabrication procedures show similar performance to traditional metal-based antennas [154] , thus greatly facilitating the great development of wearable radiofrequency antennas.…”

Section: Electromagnetic Devicesmentioning

confidence: 99%

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Laser-induced direct graphene patterning: from formation mechanism to flexible applications

2023

Soft Sci

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Laser-induced graphene (LIG), which is directly fabricated by laser carbonization of polymers, has gained much attention in recent years since its first discovery in 2014. Specifically, featuring native porosity, good mechanical properties, and excellent electrical/electrochemical properties, it is considered a promising material for flexible electronic devices. Meantime, LIG can be processed in the atmosphere within a few seconds, thereby significantly reducing the fabrication cost of graphene. Facilitated by these features, this methodology has received great development with worldwide efforts in the following years, including the formation mechanism of LIG, the diversity of laser sources (from infrared laser to ultraviolet laser), the diversity of carbon sources (thermoset polymers, thermoplastic polymers, and natural polymers), and property modulation of LIG (porosity, electrical property, hydrophilic/hydrophobic property, electrochemical property), along with the broad applications of LIG in various flexible electronic devices. Here, the recent advances in the mechanism studies and preparation methods of LIG are comprehensively summarized. The various technologies for the modification of LIG are reviewed. A thorough overview of typical LIG-based flexible electronic devices is presented. Finally, the current challenges and future directions are discussed.

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“…Soft and elastic conductive materials are attracting increasing attention due to promising applications in robotics, , sensing, − and medicine. , After 20 years of research and development, the functional requirements of conductive elastomers in flexible electronic devices have changed from simple stretchability to multifunctional properties, including ultrasoftness, self-powered, wireless communication, high stability, and high durability, which have placed greater demands on soft conductive materials. − For instance, a lower Young’s modulus is required to more accurately simulate biological materials . High stability that can withstand rapidly repeated large-strain deformation is needed to satisfy for high-frequency and high-strain applications .…”

mentioning

confidence: 99%

Extremely Soft, Stretchable, and Self-Adhesive Silicone Conductive Elastomer Composites Enabled by a Molecular Lubricating Effect

et al. 2022

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Softness, adhesion, stretchability, and fast recovery from large deformations are essential properties for conductive elastomers that play an important role in the development of high-performance soft electronics. However, it remains an ongoing challenge to obtain conductive elastomers that combine these properties. We have fabricated a super soft (Young’s modulus 2.3–12 kPa), highly stretchable (up to 1500% strain), and underwater adhesive silicone conductive elastomer composite (SF-C-PDMS) by incorporating dimethyl silicone oil as a lubricating agent in a cross-linked molecular network. The resultant SF-C-PDMS not only exhibits superior softness but also can readily recover after a strain of 1000%. The initial resistance only decreases by 8% after 100000 cycles of tensile fatigue test (100% strain, 0.5 Hz, 15 mm/s). This multifunctional silicone conductive elastomer composite is obtained in a one-step preparation at room temperature using commercially available materials. Moreover, we illustrate the capabilities of this composite in motion sensing.

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Stretchable 3D Wideband Dipole Antennas from Mechanical Assembly for On-Body Communication

Abstract: The development of wearable/stretchable electronics could largely benefit from advanced stretchable antennas with excellent on-body performance upon mechanical deformations.Despite the recent developments of stretchable antennas based on intrinsically stretchable

Cited by 15 publications

References 27 publications

Machine Learning-Enhanced Flexible Mechanical Sensing

Machine Learning-Enhanced Flexible Mechanical Sensing

Laser-induced direct graphene patterning: from formation mechanism to flexible applications

Extremely Soft, Stretchable, and Self-Adhesive Silicone Conductive Elastomer Composites Enabled by a Molecular Lubricating Effect

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