High-density tactile sensor arrays are essential for applications such as Braille reading but remain limited by the intrinsic trade-off between sensitivity and mechanical crosstalk.Here we introduce a capacitive array...High-density tactile sensor arrays are essential for applications such as Braille reading but remain limited by the intrinsic trade-off between sensitivity and mechanical crosstalk.Here we introduce a capacitive array with a gradient high/low modulus strain isolation layer(G-HL-SIL)that suppresses non-local strain transfer while preserving high normal compressibility.Finite element analysis together with experiments reveals how structural parameters govern strain propagation and establishes design principles for balancing sensitivity and crosstalk in dense arrays.Guided by these principles,the array achieves a sensitivity of 3.92 kPa^(−1)with a crosstalk coefficient reduced to 4.39%.Integrated into a slide-recognition-vocalization platform,the system enables 100%static Braille recognition accuracy and 99%dynamic recognition accuracy,while simultaneously lowering mis-triggering events during data acquisition by over 70%.This dual enhancement in accuracy and robustness demonstrates a generalizable strategy for high-density electronic skins and offers a practical pathway toward assistive technologies for the visually impaired.展开更多
Human-machine intelligent interaction(HMII)technology,which is an advanced iteration of human–machine interaction technology,has garnered widespread attention owing to its significant achievements in healthcare and v...Human-machine intelligent interaction(HMII)technology,which is an advanced iteration of human–machine interaction technology,has garnered widespread attention owing to its significant achievements in healthcare and virtual reality research.Nonetheless,these fields often depend on elaborate multi-sensor integrations and face challenges in achieving precise control over robotic manipulation.Herein,a novel transistor-like iontronics pressure sensor based on an MXene/Bi 2D heterojunction is proposed.This transistor-like,flexible,all-solid-state,self-powered iontronics device exhibited a fast response time(66.59 ms),long lifetime(up to 50,000 cycles),and static/dynamic response with linear sensitivity.A deep-learning-assisted single-device HMII system was further constructed.Crucially,the system is adept at monitoring subtle skin deformations triggered by the median and ulnar nerves,efficient real-time decoding of sophisticated hand gestures(recognition accuracy of 95.83%),and precise control of robotic hands using tactile perception feedback.This approach addresses the inherent redundancy in multi-sensor devices used to decode motion across multiple finger joints,marking a significant step forward for iontronics in enhancing the perceptual interaction between humans and machines.展开更多
The control of ion transport by responding to stimulus is a necessary condition for the existence of life.Bioinspired iontronics could enable anomalous ion dynamics in the nano-confined spaces,creating many efficient ...The control of ion transport by responding to stimulus is a necessary condition for the existence of life.Bioinspired iontronics could enable anomalous ion dynamics in the nano-confined spaces,creating many efficient energy systems and neuromorphic in-sensor computing networks:Unlike tradi-tional electronics based on von Neumann computing architec-ture,the Boolean logic computing based on the iontronics could avoid complex wiring with higher energy efficiency and programmable neuromorphic logic.Here,a systematic summary on the state of art in bioinspired iontronics is pre-sented and the stimulus from chemical potentials,electric fields,light,heat,piezo and magnetic fields on ion dynamics are reviewed.Challenges and perspectives are also addressed in the aspects of iontronic integrated systems.It is believed that comprehensive investigations in bioinspired ionic control will accelerate the development on more efficient energy and information flow for the futuristic human-machine interface.展开更多
Reliable and controllable switches are crucial in nanofluidics and iontronics.lon channels found in nature serve as a rich source of inspiration due to their intricate mechanisms modulated by stimuli like pressure,tem...Reliable and controllable switches are crucial in nanofluidics and iontronics.lon channels found in nature serve as a rich source of inspiration due to their intricate mechanisms modulated by stimuli like pressure,temperature,chemical species,and voltage.The artifi-cial replication of the properties of these channels is challenging due to their complex chemistry,limited stability range,and intricate moving parts,allosterically modulated.Nonetheless,we can harness some of the gating mechanisms of ion channels for nanofluidic and iontronic purposes.This theoretical and computational study explores the use of electrowetting in simple hydrophobic nanopores to control their conductance using an external applied voltage.We employ restrained molecular dynamics to calculate the free energy required for wetting a model nanopore under different voltages.Utilizing a simple theory,we generate free energy profles across a wide voltage range.We also computed transition rates between conductive and non-conductive states,showing their voltage depen-dence and how this behavior can impair memory to the system,resembling the memristor behavior voltage-gated channels in the brain.The proposed framework provides a promising avenue for designing and controlling hydrophobic nanopores via electrowet-ting,enabling potential applications in neuromorphic iontronics.展开更多
基金supported by the National Natural Science Foundation of China(U2330118 and 52403013)the National Key R&D Program of China(2023YFB3813404)the Sichuan Science and Technology Program(2025ZNSFSC1408).
文摘High-density tactile sensor arrays are essential for applications such as Braille reading but remain limited by the intrinsic trade-off between sensitivity and mechanical crosstalk.Here we introduce a capacitive array with a gradient high/low modulus strain isolation layer(G-HL-SIL)that suppresses non-local strain transfer while preserving high normal compressibility.Finite element analysis together with experiments reveals how structural parameters govern strain propagation and establishes design principles for balancing sensitivity and crosstalk in dense arrays.Guided by these principles,the array achieves a sensitivity of 3.92 kPa^(−1)with a crosstalk coefficient reduced to 4.39%.Integrated into a slide-recognition-vocalization platform,the system enables 100%static Braille recognition accuracy and 99%dynamic recognition accuracy,while simultaneously lowering mis-triggering events during data acquisition by over 70%.This dual enhancement in accuracy and robustness demonstrates a generalizable strategy for high-density electronic skins and offers a practical pathway toward assistive technologies for the visually impaired.
基金supported by the National Natural Science Foundation of China(12204010 and 52272177)Foundation for the Introduction of High-Level Talents of Anhui University(S020118002/097)+1 种基金University Synergy Innovation Program of Anhui Province(GXXT-2023-066)Scientific Research Project of Anhui Provincial Higher Education Institution(2023AH040008).
文摘Human-machine intelligent interaction(HMII)technology,which is an advanced iteration of human–machine interaction technology,has garnered widespread attention owing to its significant achievements in healthcare and virtual reality research.Nonetheless,these fields often depend on elaborate multi-sensor integrations and face challenges in achieving precise control over robotic manipulation.Herein,a novel transistor-like iontronics pressure sensor based on an MXene/Bi 2D heterojunction is proposed.This transistor-like,flexible,all-solid-state,self-powered iontronics device exhibited a fast response time(66.59 ms),long lifetime(up to 50,000 cycles),and static/dynamic response with linear sensitivity.A deep-learning-assisted single-device HMII system was further constructed.Crucially,the system is adept at monitoring subtle skin deformations triggered by the median and ulnar nerves,efficient real-time decoding of sophisticated hand gestures(recognition accuracy of 95.83%),and precise control of robotic hands using tactile perception feedback.This approach addresses the inherent redundancy in multi-sensor devices used to decode motion across multiple finger joints,marking a significant step forward for iontronics in enhancing the perceptual interaction between humans and machines.
基金supported by the Beijing Natural Science Foundation[Grant No.IS23040].
文摘The control of ion transport by responding to stimulus is a necessary condition for the existence of life.Bioinspired iontronics could enable anomalous ion dynamics in the nano-confined spaces,creating many efficient energy systems and neuromorphic in-sensor computing networks:Unlike tradi-tional electronics based on von Neumann computing architec-ture,the Boolean logic computing based on the iontronics could avoid complex wiring with higher energy efficiency and programmable neuromorphic logic.Here,a systematic summary on the state of art in bioinspired iontronics is pre-sented and the stimulus from chemical potentials,electric fields,light,heat,piezo and magnetic fields on ion dynamics are reviewed.Challenges and perspectives are also addressed in the aspects of iontronic integrated systems.It is believed that comprehensive investigations in bioinspired ionic control will accelerate the development on more efficient energy and information flow for the futuristic human-machine interface.
基金supported by the H2020 European Research Council[803213]Partnership for Advanced Computing in Europe AISBL。
文摘Reliable and controllable switches are crucial in nanofluidics and iontronics.lon channels found in nature serve as a rich source of inspiration due to their intricate mechanisms modulated by stimuli like pressure,temperature,chemical species,and voltage.The artifi-cial replication of the properties of these channels is challenging due to their complex chemistry,limited stability range,and intricate moving parts,allosterically modulated.Nonetheless,we can harness some of the gating mechanisms of ion channels for nanofluidic and iontronic purposes.This theoretical and computational study explores the use of electrowetting in simple hydrophobic nanopores to control their conductance using an external applied voltage.We employ restrained molecular dynamics to calculate the free energy required for wetting a model nanopore under different voltages.Utilizing a simple theory,we generate free energy profles across a wide voltage range.We also computed transition rates between conductive and non-conductive states,showing their voltage depen-dence and how this behavior can impair memory to the system,resembling the memristor behavior voltage-gated channels in the brain.The proposed framework provides a promising avenue for designing and controlling hydrophobic nanopores via electrowet-ting,enabling potential applications in neuromorphic iontronics.
