Applications of multifunctional triboelectric nanogenerator (TENG) devices: materials and prospects DOI

Prabhakar Yadav,

Kuldeep Sahay, Arpit Verma

et al.

Sustainable Energy & Fuels, Journal Year: 2023, Volume and Issue: 7(16), P. 3796 - 3831

Published: Jan. 1, 2023

A potential method for using the triboelectric effect to convert mechanical energy into electrical is nanogenerator (TENG).

Language: Английский

Design and synthesis of triboelectric polymers for high performance triboelectric nanogenerators DOI
Xinglin Tao, Xiangyu Chen, Zhong Lin Wang

et al.

Energy & Environmental Science, Journal Year: 2023, Volume and Issue: 16(9), P. 3654 - 3678

Published: Jan. 1, 2023

The latest progress, and important experimental strategies conclusions on the design synthesis of thetriboelectric polymers are systemically summarized. A triboelectric polymer handbook with common their properties is listed.

Language: Английский

Citations

99

A review of piezoelectric energy harvesters for harvesting wind energy DOI
Xiaotian Zheng, Lipeng He, Shuangjian Wang

et al.

Sensors and Actuators A Physical, Journal Year: 2023, Volume and Issue: 352, P. 114190 - 114190

Published: Jan. 20, 2023

Language: Английский

Citations

95

Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform DOI Creative Commons
Chan Wang, Tianyiyi He, Hong Zhou

et al.

Bioelectronic Medicine, Journal Year: 2023, Volume and Issue: 9(1)

Published: Aug. 2, 2023

The fourth industrial revolution has led to the development and application of health monitoring sensors that are characterized by digitalization intelligence. These have extensive applications in medical care, personal management, elderly sports, other fields, providing people with more convenient real-time services. However, these face limitations such as noise drift, difficulty extracting useful information from large amounts data, lack feedback or control signals. artificial intelligence provided powerful tools algorithms for data processing analysis, enabling intelligent monitoring, achieving high-precision predictions decisions. By integrating Internet Things, intelligence, sensors, it becomes possible realize a closed-loop system functions collection, online diagnosis, treatment recommendations. This review focuses on healthcare enhanced technologies aspects materials, device structure, integration, scenarios. Specifically, this first introduces great advances wearable respiration rate, heart pulse, sweat, tears; implantable cardiovascular nerve signal acquisition, neurotransmitter monitoring; soft electronics precise therapy. Then, recent volatile organic compound detection highlighted. Next, current developments human-machine interfaces, AI-enhanced multimode self-sustainable systems reviewed. Last, perspective future directions further research is also provided. In summary, fusion will provide intelligent, convenient, secure services next-generation biomedical applications.

Language: Английский

Citations

93

A robotic sensory system with high spatiotemporal resolution for texture recognition DOI Creative Commons
Ningning Bai, Yiheng Xue,

Shuiqing Chen

et al.

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: Nov. 14, 2023

Abstract Humans can gently slide a finger on the surface of an object and identify it by capturing both static pressure high-frequency vibrations. Although modern robots integrated with flexible sensors precisely detect pressure, shear force, strain, they still perform insufficiently or require multi-sensors to respond physical stimuli during interaction. Here, we report real-time artificial sensory system for high-accuracy texture recognition based single iontronic slip-sensor, propose criterion—spatiotemporal resolution, corelate sensing performance capability. The sensor dynamic (0-400 Hz) high spatial resolution 15 μm in spacing 6 height, together 0.02 Hz at 400 Hz, enabling high-precision discrimination fine features. prosthetic fingertip 20 different commercial textiles 100.0% accuracy fixed sliding rate 98.9% random rates. is expected help achieve subtle tactile sensation robotics prosthetics, further be applied haptic-based virtual reality beyond.

Language: Английский

Citations

88

Advances and Applications of Metal‐Organic Frameworks (MOFs) in Emerging Technologies: A Comprehensive Review DOI Creative Commons
Dongxiao Li,

Anurag Yadav,

Hong Zhou

et al.

Global Challenges, Journal Year: 2023, Volume and Issue: 8(2)

Published: Dec. 30, 2023

Abstract Metal‐organic frameworks (MOFs) that are the wonder material of 21st century consist metal ions/clusters coordinated to organic ligands form one‐ or more‐dimensional porous structures with unprecedented chemical and structural tunability, exceptional thermal stability, ultrahigh porosity, a large surface area, making them an ideal candidate for numerous potential applications. In this work, recent progress in design synthetic approaches MOFs explore their applications fields gas storage separation, catalysis, magnetism, drug delivery, chemical/biosensing, supercapacitors, rechargeable batteries self‐powered wearable sensors based on piezoelectric triboelectric nanogenerators summarized. Lastly, work identifies present challenges outlines future opportunities field, which can provide valuable references.

Language: Английский

Citations

88

Soft Robotic Perception System with Ultrasonic Auto-Positioning and Multimodal Sensory Intelligence DOI Open Access
Qiongfeng Shi, Zhongda Sun, Xianhao Le

et al.

ACS Nano, Journal Year: 2023, Volume and Issue: 17(5), P. 4985 - 4998

Published: March 3, 2023

Flexible electronics such as tactile cognitive sensors have been broadly adopted in soft robotic manipulators to enable human-skin-mimetic perception. To achieve appropriate positioning for randomly distributed objects, an integrated guiding system is inevitable. Yet the conventional based on cameras or optical exhibits limited environment adaptability, high data complexity, and low cost effectiveness. Herein, a perception with remote object multimodal cognition capability developed by integrating ultrasonic sensor flexible triboelectric sensors. The able detect shape distance reflected ultrasound. Thereby manipulator can be positioned position perform grasping, during which capture sensory information top profile, size, shape, hardness, material, etc. These are then fused deep-learning analytics, leading highly enhanced accuracy identification (∼100%). proposed presents facile, low-cost, effective methodology integrate intelligence robotics, significantly expanding functionalities adaptabilities of current systems industrial, commercial, consumer applications.

Language: Английский

Citations

77

A Self‐Powered and Self‐Sensing Lower‐Limb System for Smart Healthcare DOI
Lingji Kong, Zheng Fang, Tingsheng Zhang

et al.

Advanced Energy Materials, Journal Year: 2023, Volume and Issue: 13(31)

Published: June 29, 2023

Abstract In the age of artificial intelligence things (AIoT), wearable devices have been extensively developed for smart healthcare. This paper proposes a self‐powered and self‐sensing lower‐limb system (SS‐LS) with negative energy harvesting motion capture The SS‐LS achieves self‐sustainability via half‐wave electromagnetic generator (HW‐EMG) that recovers work from walking low cost harvesting. Additionally, function is achieved by three‐channel triboelectric nanogenerator (TC‐TENG) based on binary code, which can accurately detect angle direction knee joint rotation. bench test experiment indicates HW‐EMG has an average output power 11.2 mW, sufficient to wireless sensor. voltage signal TC‐TENG fits well signal, precisely Furthermore, demonstrates identification accuracy 99.68% detection 99.96% LSTM deep learning model. Demonstrations Parkinson's disease fall monitoring three training modes (sit‐and‐stand, balance, training) are also performed, exhibit outstanding sensing capabilities. highly promising in sports rehabilitation medicine contribute development

Language: Английский

Citations

60

Intelligent Cubic-Designed Piezoelectric Node (iCUPE) with Simultaneous Sensing and Energy Harvesting Ability toward Self-Sustained Artificial Intelligence of Things (AIoT) DOI
Manjuan Huang, Minglu Zhu,

Xiaowei Feng

et al.

ACS Nano, Journal Year: 2023, Volume and Issue: 17(7), P. 6435 - 6451

Published: March 20, 2023

The evolution of artificial intelligence things (AIoT) drastically facilitates the development a smart city via comprehensive perception and seamless communication. As foundation, various AIoT nodes are experiencing low integration poor sustainability issues. Herein, cubic-designed intelligent piezoelectric node iCUPE is presented, which integrates high-performance energy harvesting self-powered sensing module micromachined lead zirconate titanate (PZT) thick-film-based high-frequency (HF)-piezoelectric generator (PEG) poly(vinylidene fluoride-co-trifluoroethylene) (P(VDF-TrFE)) nanofiber thin-film-based low-frequency (LF)-PEGs, respectively. LF-PEG HF-PEG with specific frequency up-conversion (FUC) mechanism ensures continuous power supply over wide range 10-46 Hz, record high density 17 mW/cm3 at 1 g acceleration. cubic design allows for orthogonal placement three FUC-PEGs to ensure response vibrational sources from different directions. triaxial sensor (TPS) combined machine learning (ML) assisted units by using LF-PEGs achieve high-precision multifunctional vibration recognition resolutions 0.01 g, 2° acceleration, frequency, tilting angle, respectively, providing accuracy 98%-100%. This work proves feasibility developing ML-based accelerometer gyroscope functions resonant frequencies. proposed sustainable highly scalable explore capabilities under diverse environments, essential implementation.

Language: Английский

Citations

56

Applications of Graphene in Five Senses, Nervous System, and Artificial Muscles DOI
Jinbo Pang, Songang Peng, Chongyang Hou

et al.

ACS Sensors, Journal Year: 2023, Volume and Issue: 8(2), P. 482 - 514

Published: Jan. 19, 2023

Graphene remains of great interest in biomedical applications because biocompatibility. Diseases relating to human senses interfere with life satisfaction and happiness. Therefore, the restoration by artificial organs or sensory devices may bring a bright future recovery patients. In this review, we update most recent progress graphene based sensors for mimicking such as retina image sensors, eardrums, gas chemical tactile sensors. The brain-like processors are discussed on conventional transistors well memristor related neuromorphic computing. brain–machine interface is introduced providing single pathway. Besides, muscles summarized means actuators order react physical world. Future opportunities remain elevating performances human-like their clinical applications.

Language: Английский

Citations

52

Solar cell-based hybrid energy harvesters towards sustainability DOI Creative Commons
Tianxiao Xiao, Suo Tu, Suzhe Liang

et al.

Opto-Electronic Science, Journal Year: 2023, Volume and Issue: 2(6), P. 230011 - 230011

Published: Jan. 1, 2023

Energy harvesting plays a crucial role in modern society. In the past years, solar energy, owing to its renewable, green, and infinite attributes, has attracted increasing attention across broad range of applications from small-scale wearable electronics large-scale energy powering. However, utility cells providing stable power supply for various electrical appliances practical is restricted by weather conditions. To address this issue, researchers have made many efforts integrate with other types harvesters, thus developing hybrid harvesters (HEHs), which can harvest ambient environment via different working mechanisms. review, four categories including cells, triboelectric nanogenerators (TENGs), piezoelectric (PENGs), thermoelectric generators (TEGs) are introduced. addition, we systematically summarize recent progress cell-based (SCHEHs) focus on their structure designs corresponding applications. Three hybridization through unique combinations TENG, PENG, TEG elaborated detail. Finally, main challenges perspectives future development SCHEHs discussed.

Language: Английский

Citations

45