Artificial Intelligence(AI)has shown the power to enhance the functionality of sensors and enable intelligent human‐machine interfaces through machine learning‐based data analysis.However,the good performance of AI ...Artificial Intelligence(AI)has shown the power to enhance the functionality of sensors and enable intelligent human‐machine interfaces through machine learning‐based data analysis.However,the good performance of AI is always accompanied by a large amount of data and high computational complexity.Though cloud computing appears to be the right solution to this issue with the advent of the 5G era,a certain intelligence of the edge terminal is also important to make the entire integrated intelligent system more efficient.The current development of microelectronic,wearable,AI,and neuromorphic technologies pave the way to realize advanced edge computing by integrating silicon‐based high‐computing‐power neuromorphic chips with anthropomorphic wearable sensory devices and show the potential to achieve human‐like self‐sustainable decentralized intelligence to enable the next‐generation of AI.Hence,in this review,we systematically introduce the related progress in terms of wearable electronics that can mimic the biological features of humans'sensory systems and the development of neuromorphic/in‐sensor computing technologies.Discussion on implementing the integrated human‐like perception and sensation system with silicone‐based computing chips and non‐silicone‐based wearable functional units and our perspectives are also provided.展开更多
Flexible and wearable electronics are attracting surging attention due to their potential applications in human health monitoring and precision therapies.Safety hazards including strong magnetic field and electric lea...Flexible and wearable electronics are attracting surging attention due to their potential applications in human health monitoring and precision therapies.Safety hazards including strong magnetic field and electric leakage are big risk factors for human health.It remains challenging to develop self‐powered and wearable safety hazard sensors that could not only be able to monitor human motions but also have functions for detecting potential hazards.In this work,we fabricated a self‐powered,shapeable,and wearable magnetic triboelectric nanogenerator(MTENG)based on ferrofluid,Ecoflex,and carbonized silk fabric that possessed effective hazard prevention and biomechanical motion sensing ability.A peak open‐circuit voltage of 0.7 V and short‐circuit current of 10μA m^(−2)can be achieved when magnetic field is changed between 3.5 and 37.1 mT.As a component of triboelectric layer of the MTENG,ferrofluid can substantially extend the range of its sensing capabilities to many hazardous cues such as dangerous magnetic field.Furtherly,the developed multifunctional and self‐powered sensor can be used to monitor human activities such as drinking water and bending finger.This effort opens up a new design opportunity for hazard avoidance wearable electronics and self‐powered sensors.展开更多
The flexoelectric effect refers to the electromechanical coupling between electric polarization and mechanical strain gradient.It universally exists in a variety of materials in any space group,such as liquid crystals...The flexoelectric effect refers to the electromechanical coupling between electric polarization and mechanical strain gradient.It universally exists in a variety of materials in any space group,such as liquid crystals,dielectrics,biological materials,and semiconductors.Because of its unique size effect,nanoscale flexoelectricity has shown novel phenomena and promising applications in electronics,optronics,mechatronics,and photovoltaics.In this review,we provide a succinct report on the discovery and development of the flexoelectric effect,focusing on flexoelectric materials and related applications.Finally,we discuss recent flexoelectric research progress and still‐unsolved problems.展开更多
In energy constrained application scenarios, self‐powered systems (SPSs) are gradually emerging as a core technological pathway for enabling distributed intelligent sensing. High‐entropy energy, such as micro‐wind,...In energy constrained application scenarios, self‐powered systems (SPSs) are gradually emerging as a core technological pathway for enabling distributed intelligent sensing. High‐entropy energy, such as micro‐wind, vibrations, water motion, and human activity, is widely available but difficult to harness due to its low density, randomness, and spatiotemporal fragmentation. Triboelectric nanogenerators (TENGs), with high efficiency to low‐frequency and irregular mechanical stimuli, offer a promising solution for efficient energy harvesting, driving the advancement of SPSs with high‐entropy distribution. This review outlines the basic concepts and recent developments of TENG‐driven SPSs, focusing on strategies for energy harvesting, power management, and system integration. It highlights structural optimization and performance enhancement under typical highentropy scenarios and analyzes key challenges in energy conversion, power regulation, and load management. Finally, the potential applications of TENG‐driven SPSs are discussed in emerging smart fields such as infrastructure monitoring, lowaltitude economy, mobile intelligent devices, and ocean sensing networks.展开更多
Artificial intelligence has the potential to stand as the cornerstone of human society,which could drive our civilization forward and emerge as a pivotal frontier in the ongoing technological revolution and industrial...Artificial intelligence has the potential to stand as the cornerstone of human society,which could drive our civilization forward and emerge as a pivotal frontier in the ongoing technological revolution and industrial transformation.Amidst profound shifts in the global technological landscape,smart materials,smart devices,and smart systems have become the defining pillars of our era,which will catalyze paradigm shifts in engineering science and reshape the trajectory of modern technology.展开更多
Editors-in-Chief Zhong Lin Wang,Beijing Institute of Nanoenergy and Nanosys-tems,Chinese Academy of Sciences;Nanometer Institute of the University of Chinese Academy of Sciences,China Liqun Zhang,South China Universit...Editors-in-Chief Zhong Lin Wang,Beijing Institute of Nanoenergy and Nanosys-tems,Chinese Academy of Sciences;Nanometer Institute of the University of Chinese Academy of Sciences,China Liqun Zhang,South China University of Technology,China。展开更多
1|Introduction Conventional cooling systems exhibit substantial electricity consumption and environmental detriments through contin-uous greenhouse gas emissions.Thermal management accounts for approximately 50%of glo...1|Introduction Conventional cooling systems exhibit substantial electricity consumption and environmental detriments through contin-uous greenhouse gas emissions.Thermal management accounts for approximately 50%of global energy expenditure[1,2],necessitating urgent development of sustainable cooling alter-natives.Radiative cooling emerges as a passive thermal regu-lation strategy,operating without external energy input via direct infrared emission from materials to the environment[3].展开更多
1|Background The innovation of triboelectric nanogenerators and their application in self‐powered sensors[1-3]provides a new strat-egy for sensor development.Such a development is becoming an important part of IoT as...1|Background The innovation of triboelectric nanogenerators and their application in self‐powered sensors[1-3]provides a new strat-egy for sensor development.Such a development is becoming an important part of IoT as a large number of sensors are needed to sense different things and communicate over net-works.Among the sensors,triboelectric nanogenerator(TENG)based sensors are attracting rising attention during the last 10 years.A unique feature of the TENG sensors is the self‐powering,which eliminates the need for batteries that are normally required of other types of sensors.In the early years of TENG sensors,researchers focused on the sensors'feasibility,flexibility,and sensitivity[4-7].Lately,TENG sensing systems[8,9]have been developed to obtain information from different places and times,which provides more data to be analyzed to describe a specific scenario.Moreover,the data could be communicated over a cloud.展开更多
Skin-integrated wearable electronics enable continuous,medical-grade monitoring and therapy in daily life,but must balance conflicting needs related to mechanics,power,and communication.This review uses a dual-interfa...Skin-integrated wearable electronics enable continuous,medical-grade monitoring and therapy in daily life,but must balance conflicting needs related to mechanics,power,and communication.This review uses a dual-interface approach that separates the sensor-receiver interface,which handles wireless data and energy transfer,from the sensor-skin interface,where physiological signals are converted and mechanical and biological integration occur.We first reviewed wireless connections designed for skin electronics,focusing on Bluetooth Low Energy(BLE),Radio Frequency Identification(RFID)/Near-Field Communication(NFC)systems,and hybrid systems.Next,we examine sensor-skin interfaces ranging from mediated contact layers such as hydrogels for wearable ultrasound and soft conductive electrodes,to skin-conformal direct-contact methods based on structural mechanics,and ultrathin epidermal devices.Finally,we discuss cross-interface coupling,emphasizing how antenna layouts,power budgets,and body-induced RF effects limit mechanical design,and how skin mechanics influence link reliability.We conclude by exploring opportunities in battery-free and energy-autonomous systems,body-coupled communication,and integration with artificial intelligence(AI)-enabled digital health,positioning future electronic skins as soft,networked platforms that are comfortable and reliable.展开更多
Rollover accidents involving agricultural wheeled robots,accompanied by severe mechanical impacts,pose serious threats to operational safety and reduce functional efficiency.To address this issue,an active rollover pr...Rollover accidents involving agricultural wheeled robots,accompanied by severe mechanical impacts,pose serious threats to operational safety and reduce functional efficiency.To address this issue,an active rollover prevention strategy is proposed,utilizing a single‐gimbal control moment gyro(SGCMG),to stabilize typical agricultural robots and prevent potential rollovers.To match the free oscillation of the pivot front axle,a novel recovery torque model of the coupled robot‐SGCMG system is established,in which two patterns are introduced to refine the rollover process with uncertain parameters.Additionally,a lateral stability index is adopted and analyzed to assess the hazard level of potential rollovers.Aimed at handling uncertain parameters and hazard levels,an adaptive backstepping control strategy is developed for real‐time anti‐rollover implementation.Within this strategy,control gains are adaptively tuned based on theoretical derivations,thereby suppressing rollover tendency while minimizing tuning effort.For verification,a scaled experimental platform,designed according to similarity theory,is constructed to ensure safety of personnel and equipment.Experimental results show that the proposed method can precisely regulate the output torque of the gyro,rapidly and effectively mitigating the risk of imminent rollover.This method provides a promising solution for wheeled robot stability and a theoretical basis for advanced safety control in agricultural robotics.展开更多
Real-time detection of low-speed motion and precise monitoring of low-intensity exercise are crucial for smart fitness systems.These capabilities enable continuous data acquisition,capture subtle motion variations for...Real-time detection of low-speed motion and precise monitoring of low-intensity exercise are crucial for smart fitness systems.These capabilities enable continuous data acquisition,capture subtle motion variations for personalized guidance,and enhance training effectiveness while reducing the risk of injury.However,conventional rotational speed sensors often exhibit signal loss and limited responsiveness at low speeds,leading to inaccurate feedback and constraining the development of intelligent fitness devices.Therefore,this paper proposes a triboelectric rotational speed sensor(TRSS),which employs a coaxial reverse magnetic modulation transmission mechanism to enhance low-speed monitoring,thereby overcoming low-speed signal loss.The sensor enables real-time detection of rotational speed in fitness equipment,and features a compact structure,doubled resolution,and high detection accuracy of 0.21 rad s−1.Performance test indicates a sensitivity of 3.15 Hz(rad s−1)−1,a linear correlation coefficient of 0.99892,and an average error of 1.19%in simulated tests,which demonstrates the capability of the sensor for accurate motion monitoring at low speeds.Furthermore,a triboelectric magnetic-modulated rotational monitoring system(TMRMS)is developed and validated through cycling experiments,demonstrating excellent performance across a wide speed range.These findings highlight the strong potential of the system for advancing next-generation smart fitness applications.展开更多
As humanity advances into the virtual world and the era of mixed reality,high-fidelity gesture mapping has become a key interface connecting the physical world and the digital space.However,the existing solutions are ...As humanity advances into the virtual world and the era of mixed reality,high-fidelity gesture mapping has become a key interface connecting the physical world and the digital space.However,the existing solutions are limited by the bottlenecks of active sensors in terms of information richness and structure and have insufficient precise reconstruction capabilities for high-degree-of-freedom hand movements,making it difficult to achieve a natural and seamless interaction experience.Here,a dynamic gesture mapping system(DGMS)has been developed,which combines a lightweight and efficient hand motion signal acquisition device(HSAD)with an efficient signal processing algorithm(SPA).HSAD captures the motion information on 17°of freedom for the hand through sensor clusters and wirelessly transmits the data to the signal processing platform.On this platform,SPA converts electrical signals into bending angle information,with an error below 1°.DGMS synchronously and accurately maps the hand movement information output by SPA to the virtual environment,achieving real-time interaction with objects in the virtual space.This study has for the first time achieved such a high-degree-of-freedom and high-fidelity gesture mapping using passive sensors and explored the application of gesture mapping in the virtual-real coexisting intelligent enhancement platform,offering a novel technical route for digital twin applications.展开更多
Effective wind energy harvesting represents a viable solution to the global energy shortage and environmental pollution.Triboelectric nanogenerators(TENGs)hold great potential in wind energy harvesting;yet,there is li...Effective wind energy harvesting represents a viable solution to the global energy shortage and environmental pollution.Triboelectric nanogenerators(TENGs)hold great potential in wind energy harvesting;yet,there is little research on constant current TENGs for this purpose.Herein,a novel rotary bicharacteristic current TENG(R-BC-TENG)with constant current output for ambient wind energy harvesting is proposed,which delivers a low crest factor of 1.0187.Through the synergistic integration of triboelectrification,electrostatic discharge,and electrostatic induction,an average power density of 2.4 W m−2 Hz−1 and a charge density of 1.86 mC m−2 for the R-BC-TENG are achieved,with the charge density surpassing that reported in most previous studies.The minimum starting wind speed of R-BC-TENG is as low as 2.8 m s−1 while maintaining 100%performance after 12,700 cycles.Moreover,a self-powered air purification system,based on the R-BC-TENG,is developed,with the ability to generate 1,400,000 ions cm−3 and settle dust within 50 s.This work provides a paradigm for harvesting wind energy to achieve constant current output as well as safe and efficient air purification.展开更多
The rise of wearable electronics and intelligent robotics has created an urgent demand for tactile sensors that are soft,biocompatible,and responsive.Hydrogels,with high water content and mechanical compliance such as...The rise of wearable electronics and intelligent robotics has created an urgent demand for tactile sensors that are soft,biocompatible,and responsive.Hydrogels,with high water content and mechanical compliance such as biological tissues,provide a unique platform for constructing next-generation tactile sensors that mimic human skin’s sensory functions.This paper surveys recent progress in smart hydrogel tactile sensors and systems from fundamental concepts to practical applications.Beyond molecular structural design and material selection,we focus on the discussion and summary of the key sensing mechanisms,including triboelectric,piezoresistive,piezoelectric,piezoionic,and piezocapacitive modes.We also discuss material innovations such as ionic hydrogels,dual-conductive networks,zwitterionic matrices,and nanocomposite reinforcement,highlighting strategies to improve sensitivity,durability,and multifunctionality.Finally,the challenges and possible future directions for smart hydrogel tactile systems are outlined.展开更多
Human vision,confined to visible wavelengths,represents a mere fraction of the electromagnetic spectrum exploited by other species.Pit vipers detect infrared radiation through specialized pit organs,integrating therma...Human vision,confined to visible wavelengths,represents a mere fraction of the electromagnetic spectrum exploited by other species.Pit vipers detect infrared radiation through specialized pit organs,integrating thermal and visual data to navigate darkness[1].Conventional retinal prosthetics,limited to visible light and requiring external power or injectable nanomaterials,fail to address this sensory deficit[2–5].展开更多
1|Introduction Metamaterials are artificially engineered systems in which the geometry and arrangement of designed unit cells give rise to effective properties that are not available in natural materials.Intelligent m...1|Introduction Metamaterials are artificially engineered systems in which the geometry and arrangement of designed unit cells give rise to effective properties that are not available in natural materials.Intelligent metamaterials extend this concept by integrating stimulus-responsive materials with programmable architectures,thereby creating functional matter that blurs the conventional boundary between materials and structures and enables dynamic,adaptive,and reconfigurable functionalities.These systems can respond to diverse stimuli such as thermal,electrical,optical,magnetic,and mechanical inputs,and convert them into tunable shape change,adaptive mechanical/optical responses,and other reconfigurable functionalities[1–5].Through this synergy,they acquire lifelike and emergent behaviors,making them attractive platforms for next-generation applications in soft robotics,bioengineering,information encryption,and mechanical computation.展开更多
Dynamically tunable terahertz(THz)beam focusing plays a critical role in emerging applications including reconfigurable imaging,localized spectral analysis,and micro-machining.Conventional methods,however,frequently e...Dynamically tunable terahertz(THz)beam focusing plays a critical role in emerging applications including reconfigurable imaging,localized spectral analysis,and micro-machining.Conventional methods,however,frequently employ complex wavefront modulators and external control algorithms,resulting in increased system footprint and limited tuning efficiency.In this work,we present an all-silicon mechanically rotatable cascaded metasurface capable of dynamic THz beam focusing.By independently adjusting the relative rotation angles between the two metasurface layers,real-time repositioning of the focal spot is achieved for orthogonal circular polarization channels.The proposed design facilitates polarization-division multiplexing without requiring external algorithms or active materials while preserving high focusing efficiency and beam quality across a predefined focal plane.Numerical simulations reveal a quasi-linear shift of the focal position with the rotation angle,with stable focusing efficiency and full-width at half-maximum observed in both polarization channels.This strategy offers an efficient and reliable approach to dynamic wavefront control for compact,reconfigurable THz imaging,sensing,and communication systems.展开更多
Polymeric materials research is increasingly directed toward biomimicry,exploring designs derived from nature's long evolutionary processes to enhance material properties and sustainability.Scientists have long re...Polymeric materials research is increasingly directed toward biomimicry,exploring designs derived from nature's long evolutionary processes to enhance material properties and sustainability.Scientists have long recognized that spider silk,as a natural polymer,possesses exceptional physicochemical properties,including high tensile strength,superior toughness,good thermal conductivity,ultracontraction,and unique torsional rotation driving capabilities.These remarkable characteristics have inspired ongoing efforts to develop biomimetic spider silk materials,with the aim of replicating the natural structure of spider silk to create polymers with similar or even superior performance.This article aims to explore the synthesis methods of highperformance biomimetic polymer materials,such as artificial spider silk,and their advanced applications across various fields.The review will discuss recent advances in the synthesis of novel artificial spider silk materials,focusing on polymer molecular design,the construction of secondary cross-linked networks,micro-nano assembly structure,and the development of innovative spinning techniques,as well as the potential of artificial spider silk in biomedical and flexible smart wearable applications.展开更多
Implantable light therapy devices,utilizing red and infrared light,have garnered significant interest for their potential to enhance tissue repair and regeneration,particularly in the context of spinal cord injuries(S...Implantable light therapy devices,utilizing red and infrared light,have garnered significant interest for their potential to enhance tissue repair and regeneration,particularly in the context of spinal cord injuries(SCI).These light wavelengths,known for their ability to penetrate the skin,initiate cellular processes that promote healing,reduce inflammation,and support regenerative mechanisms.Emerging research suggests that red and infrared light therapies can facilitate SCI recovery by stimulating neural regeneration,improving blood circulation,and mitigating oxidative stress.This review explores the underlying mechanisms by which implantable light therapy devices influence spinal cord recovery,emphasizing their noninvasive nature and potential advantages over conventional treatment strategies.The therapeutic effects of these light therapies offer a promising novel approach for addressing spinal cord damage and improving patient outcomes.Although further studies are necessary to establish optimal treatment protocols by advancing systems with artificial intelligence(AI)and evaluating longterm effects,the evidence suggests that light-based therapies could play a critical complementary role in SCI treatment and rehabilitation.The findings presented highlight the growing potential of these therapies in advancing SCI recovery and enhancing therapeutic efficacy.展开更多
基金supported by NRF‐CRP28‐2022‐0038“Integrating Wideband Tuneable Acoustic Filters on Silicon for High‐Speed Wireless Communication”(WBS:grant no.A‐8001503‐00‐00)National University of Singapore(NUS),Singapore,and RIE2025 IAF‐ICP under I2301E0027“Piezo Specialty Lab‐in‐Fab 2.0(LiF 2.0)-Enabling Unrivalled Power Efficient Transducers Beyond Material Limits”at National University of Singapore(NUS),Singapore.
文摘Artificial Intelligence(AI)has shown the power to enhance the functionality of sensors and enable intelligent human‐machine interfaces through machine learning‐based data analysis.However,the good performance of AI is always accompanied by a large amount of data and high computational complexity.Though cloud computing appears to be the right solution to this issue with the advent of the 5G era,a certain intelligence of the edge terminal is also important to make the entire integrated intelligent system more efficient.The current development of microelectronic,wearable,AI,and neuromorphic technologies pave the way to realize advanced edge computing by integrating silicon‐based high‐computing‐power neuromorphic chips with anthropomorphic wearable sensory devices and show the potential to achieve human‐like self‐sustainable decentralized intelligence to enable the next‐generation of AI.Hence,in this review,we systematically introduce the related progress in terms of wearable electronics that can mimic the biological features of humans'sensory systems and the development of neuromorphic/in‐sensor computing technologies.Discussion on implementing the integrated human‐like perception and sensation system with silicone‐based computing chips and non‐silicone‐based wearable functional units and our perspectives are also provided.
基金financially supported by the National Natural Science Foundation of China(No.52125201)Beijing Natural Science Foundation(No.Z240025)and the Beijing Municipal Science and Technology(No.Z221100002722015).
文摘Flexible and wearable electronics are attracting surging attention due to their potential applications in human health monitoring and precision therapies.Safety hazards including strong magnetic field and electric leakage are big risk factors for human health.It remains challenging to develop self‐powered and wearable safety hazard sensors that could not only be able to monitor human motions but also have functions for detecting potential hazards.In this work,we fabricated a self‐powered,shapeable,and wearable magnetic triboelectric nanogenerator(MTENG)based on ferrofluid,Ecoflex,and carbonized silk fabric that possessed effective hazard prevention and biomechanical motion sensing ability.A peak open‐circuit voltage of 0.7 V and short‐circuit current of 10μA m^(−2)can be achieved when magnetic field is changed between 3.5 and 37.1 mT.As a component of triboelectric layer of the MTENG,ferrofluid can substantially extend the range of its sensing capabilities to many hazardous cues such as dangerous magnetic field.Furtherly,the developed multifunctional and self‐powered sensor can be used to monitor human activities such as drinking water and bending finger.This effort opens up a new design opportunity for hazard avoidance wearable electronics and self‐powered sensors.
基金support of the National Natural Science Foundation of China(Grant Nos.52192611,51872031,61904013,and 62405157)China Postdoctoral Science Foundation(Nos.2023M741890 and GZC20231215)the Fundamental Research Funds for the Central Universities.
文摘The flexoelectric effect refers to the electromechanical coupling between electric polarization and mechanical strain gradient.It universally exists in a variety of materials in any space group,such as liquid crystals,dielectrics,biological materials,and semiconductors.Because of its unique size effect,nanoscale flexoelectricity has shown novel phenomena and promising applications in electronics,optronics,mechatronics,and photovoltaics.In this review,we provide a succinct report on the discovery and development of the flexoelectric effect,focusing on flexoelectric materials and related applications.Finally,we discuss recent flexoelectric research progress and still‐unsolved problems.
基金supported by The National Key Research and Development Program of China(Grant No.2023YFB2604600).
文摘In energy constrained application scenarios, self‐powered systems (SPSs) are gradually emerging as a core technological pathway for enabling distributed intelligent sensing. High‐entropy energy, such as micro‐wind, vibrations, water motion, and human activity, is widely available but difficult to harness due to its low density, randomness, and spatiotemporal fragmentation. Triboelectric nanogenerators (TENGs), with high efficiency to low‐frequency and irregular mechanical stimuli, offer a promising solution for efficient energy harvesting, driving the advancement of SPSs with high‐entropy distribution. This review outlines the basic concepts and recent developments of TENG‐driven SPSs, focusing on strategies for energy harvesting, power management, and system integration. It highlights structural optimization and performance enhancement under typical highentropy scenarios and analyzes key challenges in energy conversion, power regulation, and load management. Finally, the potential applications of TENG‐driven SPSs are discussed in emerging smart fields such as infrastructure monitoring, lowaltitude economy, mobile intelligent devices, and ocean sensing networks.
文摘Artificial intelligence has the potential to stand as the cornerstone of human society,which could drive our civilization forward and emerge as a pivotal frontier in the ongoing technological revolution and industrial transformation.Amidst profound shifts in the global technological landscape,smart materials,smart devices,and smart systems have become the defining pillars of our era,which will catalyze paradigm shifts in engineering science and reshape the trajectory of modern technology.
文摘Editors-in-Chief Zhong Lin Wang,Beijing Institute of Nanoenergy and Nanosys-tems,Chinese Academy of Sciences;Nanometer Institute of the University of Chinese Academy of Sciences,China Liqun Zhang,South China University of Technology,China。
基金the financial support from the National Key R&D Program of China(No.2020YFA0711500)the National Natural Science Foundation of China(Nos.52473215 and 52273248).
文摘1|Introduction Conventional cooling systems exhibit substantial electricity consumption and environmental detriments through contin-uous greenhouse gas emissions.Thermal management accounts for approximately 50%of global energy expenditure[1,2],necessitating urgent development of sustainable cooling alter-natives.Radiative cooling emerges as a passive thermal regu-lation strategy,operating without external energy input via direct infrared emission from materials to the environment[3].
基金supported by the Swedish Research Council,Stiftelsen Promobilia and the Knowledge Foundation of Sweden.
文摘1|Background The innovation of triboelectric nanogenerators and their application in self‐powered sensors[1-3]provides a new strat-egy for sensor development.Such a development is becoming an important part of IoT as a large number of sensors are needed to sense different things and communicate over net-works.Among the sensors,triboelectric nanogenerator(TENG)based sensors are attracting rising attention during the last 10 years.A unique feature of the TENG sensors is the self‐powering,which eliminates the need for batteries that are normally required of other types of sensors.In the early years of TENG sensors,researchers focused on the sensors'feasibility,flexibility,and sensitivity[4-7].Lately,TENG sensing systems[8,9]have been developed to obtain information from different places and times,which provides more data to be analyzed to describe a specific scenario.Moreover,the data could be communicated over a cloud.
基金supported by the Rutgers Startup Package,NJ Health Foundation(Grant No.PC 221-25)Rutgers-New Brunswick OVPR Behavioral Health and Equity Pilot Seed Funding Award,MIT Lincoln Lab Collaboration Award,NJ Commission on Brain Injury Research(Grant No.CBIR25IRG024)the National Research Foundation(Grant No.RS-2024-00406674)funded by the Ministry of Science and ICT of Korea.
文摘Skin-integrated wearable electronics enable continuous,medical-grade monitoring and therapy in daily life,but must balance conflicting needs related to mechanics,power,and communication.This review uses a dual-interface approach that separates the sensor-receiver interface,which handles wireless data and energy transfer,from the sensor-skin interface,where physiological signals are converted and mechanical and biological integration occur.We first reviewed wireless connections designed for skin electronics,focusing on Bluetooth Low Energy(BLE),Radio Frequency Identification(RFID)/Near-Field Communication(NFC)systems,and hybrid systems.Next,we examine sensor-skin interfaces ranging from mediated contact layers such as hydrogels for wearable ultrasound and soft conductive electrodes,to skin-conformal direct-contact methods based on structural mechanics,and ultrathin epidermal devices.Finally,we discuss cross-interface coupling,emphasizing how antenna layouts,power budgets,and body-induced RF effects limit mechanical design,and how skin mechanics influence link reliability.We conclude by exploring opportunities in battery-free and energy-autonomous systems,body-coupled communication,and integration with artificial intelligence(AI)-enabled digital health,positioning future electronic skins as soft,networked platforms that are comfortable and reliable.
基金supported by the National Natural Science Foundation of China(No.52175259)the 2115 Talent Development Program of China Agricultural University.
文摘Rollover accidents involving agricultural wheeled robots,accompanied by severe mechanical impacts,pose serious threats to operational safety and reduce functional efficiency.To address this issue,an active rollover prevention strategy is proposed,utilizing a single‐gimbal control moment gyro(SGCMG),to stabilize typical agricultural robots and prevent potential rollovers.To match the free oscillation of the pivot front axle,a novel recovery torque model of the coupled robot‐SGCMG system is established,in which two patterns are introduced to refine the rollover process with uncertain parameters.Additionally,a lateral stability index is adopted and analyzed to assess the hazard level of potential rollovers.Aimed at handling uncertain parameters and hazard levels,an adaptive backstepping control strategy is developed for real‐time anti‐rollover implementation.Within this strategy,control gains are adaptively tuned based on theoretical derivations,thereby suppressing rollover tendency while minimizing tuning effort.For verification,a scaled experimental platform,designed according to similarity theory,is constructed to ensure safety of personnel and equipment.Experimental results show that the proposed method can precisely regulate the output torque of the gyro,rapidly and effectively mitigating the risk of imminent rollover.This method provides a promising solution for wheeled robot stability and a theoretical basis for advanced safety control in agricultural robotics.
基金supported by the National Key R&D Project from Minister of Science and Technology(Grant No.2021YFA1201604)Beijing Natural Science Foundation(Grant No.3244038)+1 种基金GuangDong Basic and Applied Basic Research Foundation(Grant No.2024A1515140103)Jilin Province Development and Reform Commission(Grant No.2024C006-3).
文摘Real-time detection of low-speed motion and precise monitoring of low-intensity exercise are crucial for smart fitness systems.These capabilities enable continuous data acquisition,capture subtle motion variations for personalized guidance,and enhance training effectiveness while reducing the risk of injury.However,conventional rotational speed sensors often exhibit signal loss and limited responsiveness at low speeds,leading to inaccurate feedback and constraining the development of intelligent fitness devices.Therefore,this paper proposes a triboelectric rotational speed sensor(TRSS),which employs a coaxial reverse magnetic modulation transmission mechanism to enhance low-speed monitoring,thereby overcoming low-speed signal loss.The sensor enables real-time detection of rotational speed in fitness equipment,and features a compact structure,doubled resolution,and high detection accuracy of 0.21 rad s−1.Performance test indicates a sensitivity of 3.15 Hz(rad s−1)−1,a linear correlation coefficient of 0.99892,and an average error of 1.19%in simulated tests,which demonstrates the capability of the sensor for accurate motion monitoring at low speeds.Furthermore,a triboelectric magnetic-modulated rotational monitoring system(TMRMS)is developed and validated through cycling experiments,demonstrating excellent performance across a wide speed range.These findings highlight the strong potential of the system for advancing next-generation smart fitness applications.
基金supported by the National Natural Science Foundation of China(Grant No.52372107)the Zhongyuan Talent Program(Talent Cultivation Series)-Leading Talents in Zhongyuan Basic Research,the Henan Center for Outstanding Overseas Scientists(Grant No.GZS2024003)+1 种基金the Natural Science Foundation of Henan Province in China(Grant No.252300421801)the China Postdoctoral Science Foundation(Grant No.2023M740992).
文摘As humanity advances into the virtual world and the era of mixed reality,high-fidelity gesture mapping has become a key interface connecting the physical world and the digital space.However,the existing solutions are limited by the bottlenecks of active sensors in terms of information richness and structure and have insufficient precise reconstruction capabilities for high-degree-of-freedom hand movements,making it difficult to achieve a natural and seamless interaction experience.Here,a dynamic gesture mapping system(DGMS)has been developed,which combines a lightweight and efficient hand motion signal acquisition device(HSAD)with an efficient signal processing algorithm(SPA).HSAD captures the motion information on 17°of freedom for the hand through sensor clusters and wirelessly transmits the data to the signal processing platform.On this platform,SPA converts electrical signals into bending angle information,with an error below 1°.DGMS synchronously and accurately maps the hand movement information output by SPA to the virtual environment,achieving real-time interaction with objects in the virtual space.This study has for the first time achieved such a high-degree-of-freedom and high-fidelity gesture mapping using passive sensors and explored the application of gesture mapping in the virtual-real coexisting intelligent enhancement platform,offering a novel technical route for digital twin applications.
基金supported by the National Natural Science Foundation of China(Grant Nos.52076024 and 52572203)the Natural Science Foundation of Chongqing(Grant No.cstc2021jcyj-msxmX0625)the Fundamental Research Funds for Central Universities(Grant Nos.2023CDJXY-0049 and 2025CDJ-IAISYB-030).
文摘Effective wind energy harvesting represents a viable solution to the global energy shortage and environmental pollution.Triboelectric nanogenerators(TENGs)hold great potential in wind energy harvesting;yet,there is little research on constant current TENGs for this purpose.Herein,a novel rotary bicharacteristic current TENG(R-BC-TENG)with constant current output for ambient wind energy harvesting is proposed,which delivers a low crest factor of 1.0187.Through the synergistic integration of triboelectrification,electrostatic discharge,and electrostatic induction,an average power density of 2.4 W m−2 Hz−1 and a charge density of 1.86 mC m−2 for the R-BC-TENG are achieved,with the charge density surpassing that reported in most previous studies.The minimum starting wind speed of R-BC-TENG is as low as 2.8 m s−1 while maintaining 100%performance after 12,700 cycles.Moreover,a self-powered air purification system,based on the R-BC-TENG,is developed,with the ability to generate 1,400,000 ions cm−3 and settle dust within 50 s.This work provides a paradigm for harvesting wind energy to achieve constant current output as well as safe and efficient air purification.
基金supported by the National Key R&D Program from the Ministry of Science and Technology of China(Grant No.2024YFB3211902)the National Natural Science Foundation of China(Grant No.52173274).
文摘The rise of wearable electronics and intelligent robotics has created an urgent demand for tactile sensors that are soft,biocompatible,and responsive.Hydrogels,with high water content and mechanical compliance such as biological tissues,provide a unique platform for constructing next-generation tactile sensors that mimic human skin’s sensory functions.This paper surveys recent progress in smart hydrogel tactile sensors and systems from fundamental concepts to practical applications.Beyond molecular structural design and material selection,we focus on the discussion and summary of the key sensing mechanisms,including triboelectric,piezoresistive,piezoelectric,piezoionic,and piezocapacitive modes.We also discuss material innovations such as ionic hydrogels,dual-conductive networks,zwitterionic matrices,and nanocomposite reinforcement,highlighting strategies to improve sensitivity,durability,and multifunctionality.Finally,the challenges and possible future directions for smart hydrogel tactile systems are outlined.
基金supported by the National Key Research and Development Program from Ministry of Science and Technology(No.2023YFB3208102).
文摘Human vision,confined to visible wavelengths,represents a mere fraction of the electromagnetic spectrum exploited by other species.Pit vipers detect infrared radiation through specialized pit organs,integrating thermal and visual data to navigate darkness[1].Conventional retinal prosthetics,limited to visible light and requiring external power or injectable nanomaterials,fail to address this sensory deficit[2–5].
基金supported by the National University of Singapore Presidential Young Professorship Start-Up Grant.
文摘1|Introduction Metamaterials are artificially engineered systems in which the geometry and arrangement of designed unit cells give rise to effective properties that are not available in natural materials.Intelligent metamaterials extend this concept by integrating stimulus-responsive materials with programmable architectures,thereby creating functional matter that blurs the conventional boundary between materials and structures and enables dynamic,adaptive,and reconfigurable functionalities.These systems can respond to diverse stimuli such as thermal,electrical,optical,magnetic,and mechanical inputs,and convert them into tunable shape change,adaptive mechanical/optical responses,and other reconfigurable functionalities[1–5].Through this synergy,they acquire lifelike and emergent behaviors,making them attractive platforms for next-generation applications in soft robotics,bioengineering,information encryption,and mechanical computation.
基金supported by the National Natural Science Foundation of China(Grants U22A2008,12404484,12464016,and 62405219)the Double First Class Joint Special Key Project of Yunnan Science and Technology Department and Yunnan University(Grant 202401BF070001-012)Sichuan Provincial Science and Technology Support Program(Grant 25QNJJ2419).
文摘Dynamically tunable terahertz(THz)beam focusing plays a critical role in emerging applications including reconfigurable imaging,localized spectral analysis,and micro-machining.Conventional methods,however,frequently employ complex wavefront modulators and external control algorithms,resulting in increased system footprint and limited tuning efficiency.In this work,we present an all-silicon mechanically rotatable cascaded metasurface capable of dynamic THz beam focusing.By independently adjusting the relative rotation angles between the two metasurface layers,real-time repositioning of the focal spot is achieved for orthogonal circular polarization channels.The proposed design facilitates polarization-division multiplexing without requiring external algorithms or active materials while preserving high focusing efficiency and beam quality across a predefined focal plane.Numerical simulations reveal a quasi-linear shift of the focal position with the rotation angle,with stable focusing efficiency and full-width at half-maximum observed in both polarization channels.This strategy offers an efficient and reliable approach to dynamic wavefront control for compact,reconfigurable THz imaging,sensing,and communication systems.
基金supported by the National Natural Science Foundation of China(Grants 52225306,52090034,52461160302,52550003,2231300,and 22405134)the National Key Research and Development Program of China(Grants 2022YFB3807103 and 2022YFA1203304)+5 种基金the Frontiers Science Center for Table Organic Matter,Nankai University(Grant 63181206)the Fundamental Research Funds for the Central Universities(Grant 63171219)the Beijing-Tianjin-Hebei Basic Research Cooperation Project(Grant J230023)the Anhui Provincial Science and Technology Innovation Tackling Program(Grant 202423i08050057)the Tianjin Science and Technology Program(Grant 22JCYBJC01260)the Tianjin Basic Application Research Project(Grant 22JCYBJC01260).
文摘Polymeric materials research is increasingly directed toward biomimicry,exploring designs derived from nature's long evolutionary processes to enhance material properties and sustainability.Scientists have long recognized that spider silk,as a natural polymer,possesses exceptional physicochemical properties,including high tensile strength,superior toughness,good thermal conductivity,ultracontraction,and unique torsional rotation driving capabilities.These remarkable characteristics have inspired ongoing efforts to develop biomimetic spider silk materials,with the aim of replicating the natural structure of spider silk to create polymers with similar or even superior performance.This article aims to explore the synthesis methods of highperformance biomimetic polymer materials,such as artificial spider silk,and their advanced applications across various fields.The review will discuss recent advances in the synthesis of novel artificial spider silk materials,focusing on polymer molecular design,the construction of secondary cross-linked networks,micro-nano assembly structure,and the development of innovative spinning techniques,as well as the potential of artificial spider silk in biomedical and flexible smart wearable applications.
文摘Implantable light therapy devices,utilizing red and infrared light,have garnered significant interest for their potential to enhance tissue repair and regeneration,particularly in the context of spinal cord injuries(SCI).These light wavelengths,known for their ability to penetrate the skin,initiate cellular processes that promote healing,reduce inflammation,and support regenerative mechanisms.Emerging research suggests that red and infrared light therapies can facilitate SCI recovery by stimulating neural regeneration,improving blood circulation,and mitigating oxidative stress.This review explores the underlying mechanisms by which implantable light therapy devices influence spinal cord recovery,emphasizing their noninvasive nature and potential advantages over conventional treatment strategies.The therapeutic effects of these light therapies offer a promising novel approach for addressing spinal cord damage and improving patient outcomes.Although further studies are necessary to establish optimal treatment protocols by advancing systems with artificial intelligence(AI)and evaluating longterm effects,the evidence suggests that light-based therapies could play a critical complementary role in SCI treatment and rehabilitation.The findings presented highlight the growing potential of these therapies in advancing SCI recovery and enhancing therapeutic efficacy.
