Artificial Intelligence Meets Flexible Sensors: Emerging Smart Flexible Sensing Systems Driven by Machine Learning and Artificial Synapses

Nano-Micro Letters, Journal Year: 2023, Volume and Issue: 16(1)

Published: Nov. 13, 2023

The recent wave of the artificial intelligence (AI) revolution has aroused unprecedented interest in intelligentialize human society. As an essential component that bridges physical world and digital signals, flexible sensors are evolving from a single sensing element to smarter system, which is capable highly efficient acquisition, analysis, even perception vast, multifaceted data. While challenging manual perspective, development intelligent been remarkably facilitated owing rapid advances brain-inspired AI innovations both algorithm (machine learning) framework (artificial synapses) level. This review presents progress emerging AI-driven, systems. basic concept machine learning synapses introduced. new enabling features induced by fusion comprehensively reviewed, significantly applications such as sensory systems, soft/humanoid robotics, activity monitoring. two most profound twenty-first century, deep incorporation technology holds tremendous potential for creating beings.

Language: Английский

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Bionic structures and materials inspired by plant leaves: A comprehensive review for innovative problem-solving

Progress in Materials Science, Journal Year: 2023, Volume and Issue: 139, P. 101181 - 101181

Published: Aug. 16, 2023

Language: Английский

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A Human‐Computer Interaction Strategy for An FPGA Platform Boosted Integrated “Perception‐Memory” System Based on Electronic Tattoos and Memristors

Advanced Science, Journal Year: 2024, Volume and Issue: 11(39)

Published: July 24, 2024

The integrated "perception-memory" system is receiving increasing attention due to its crucial applications in humanoid robots, as well the simulation of human retina and brain. Here, a Field Programmable Gate Array (FPGA) platform-boosted that enables sensing, recognition, memory for human-computer interaction reported by combination ultra-thin Ag/Al/Paster-based electronic tattoos (AAP) Tantalum Oxide/Indium Gallium Zinc Oxide (Ta

Language: Английский

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E-Tattoos: Toward Functional but Imperceptible Interfacing with Human Skin

Chemical Reviews, Journal Year: 2024, Volume and Issue: 124(6), P. 3220 - 3283

Published: March 11, 2024

The human body continuously emits physiological and psychological information from head to toe. Wearable electronics capable of noninvasively accurately digitizing this without compromising user comfort or mobility have the potential revolutionize telemedicine, mobile health, both human–machine human–metaverse interactions. However, state-of-the-art wearable face limitations regarding wearability functionality due mechanical incompatibility between conventional rigid, planar soft, curvy skin surfaces. E-Tattoos, a unique type electronics, are defined by their ultrathin skin-soft characteristics, which enable noninvasive comfortable lamination on surfaces causing obstruction even perception. This review article offers an exhaustive exploration e-tattoos, accounting for materials, structures, manufacturing processes, properties, functionalities, applications, remaining challenges. We begin summarizing properties effects signal transmission across e-tattoo-skin interface. Following is discussion structural designs, manufacturing, attachment processes e-tattoos. classify e-tattoo functionalities into electrical, mechanical, optical, thermal, chemical sensing, as well wound healing other treatments. After discussing energy harvesting storage capabilities, we outline strategies system integration wireless In end, offer personal perspectives challenges future opportunities in field.

Language: Английский

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Robust Fiber‐Shaped Flexible Temperature Sensors for Safety Monitoring with Ultrahigh Sensitivity

Advanced Materials, Journal Year: 2024, Volume and Issue: 36(18)

Published: Jan. 31, 2024

Abstract Flexible temperature sensors capable of detecting and transmitting data from the human body, environment, electronic devices hold significant potential for applications in skins, human–machine interactions, disaster prevention systems. Nonetheless, fabricating flexible with exceptional sensing performance remains a formidable task, primarily due to intricate process constructing an intrinsically element high sensitivity. In this study, facile situ two‐step synthetic method is introduced fiber‐shaped NiO/carbon nanotube fiber (CNTF) composites. The resulting NiO/CNTF demonstrate outstanding deformability characteristics, encompassing broad working range (−15 60 °C) sensitivity (maximum TCR −20.2% °C −1 B value 3332 K). Importantly, mechanical thermal behaviors sensor various application conditions are thoroughly examined using finite analysis simulations. Moreover, can effectively capture diverse signals wearable applications. Notably, monitoring warning system developed prevent fire accidents abnormal runaway devices.

Language: Английский

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Ag–thiolate interactions to enable an ultrasensitive and stretchable MXene strain sensor with high temporospatial resolution

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: June 25, 2024

Abstract High-sensitivity strain sensing elements with a wide range, fast response, high stability, and small areas are desirable for constructing sensor arrays temporospatial resolution. However, current sensors rely on crack-based conductive materials having an inherent tradeoff between their area performance. Here, we present molecular-level crack modulation strategy in which use layer-by-layer assembly to introduce strong, dynamic, reversible coordination bonds MXene silver nanowire-matrixed film. We this approach fabricate stretchable very (0.25 mm 2 ). It also exhibits ultrawide working range (0.001–37%), sensitivity (gauge factor ~500 at 0.001% >150,000 35%), response time, low hysteresis, excellent long-term stability. Based high-performance element facile process, array device density of 100 per cm is realized. demonstrate the practical high-density as multichannel pulse system monitoring pulses terms spatiotemporal

Language: Английский

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Flexible biodegradable wearables based on conductive leaf networks

Sustainable materials and technologies, Journal Year: 2025, Volume and Issue: unknown, P. e01263 - e01263

Published: Jan. 1, 2025

Language: Английский

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Tailoring NH₄⁺/H⁺ Co-adsorption Chemistry into h-Ti₃C₂ MXene for High Load Aqueous Microsupercapacitors

ACS Energy Letters, Journal Year: 2024, Volume and Issue: 9(5), P. 2000 - 2006

Published: April 5, 2024

Aqueous microsupercapacitors (AMSCs) with safe and low-cost are anticipated as a leading choice for micro energy storage devices. Nevertheless, the current issue AMSCs is their extremely low area density power density, which caused by strong interaction between metal ions well stacking properties of thick electrodes. Herein, we develop based on tailoring mechanism NH4+/H+ co-adsorption into hydroxylated Ti3C2 MXene (h-Ti3C2 MXene). This enhances adsorption kinetics electrode materials. The ultra-high-load h-Ti3C2 carpet shape more oxygen-containing functional groups further improves performance electrode. As result, reported exhibit impressive (16.50 mW cm–2 at 110.91 μWh cm–2), (394.59 0.825 cycle life (20 000 GCD cycles retain 92.45%). work provides an entirely new building advanced AMSCs.

Language: Английский

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Breathable Ultrathin Film Sensors Based on Nanomesh Reinforced Anti‐Dehydrating Organohydrogels for Motion Monitoring

Advanced Functional Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 6, 2024

Abstract Flexible hydrogel film sensors have great advantages as human–machine interfaces for conformal contact with bio‐tissues, but suffer from weakness and dehydration, compromising flexibility performance. Here, a breathable, highly stretchable, anti‐dehydrating ultrathin organohydrogel skin‐attachable strain sensor long‐term motion monitoring is developed. An electrospun TPU (eTPU) nanomesh hidden strength used skeleton to host in situ free radical polymerization of 2‐acrylamido‐2‐methyl propane sulfonic acid (AMPS) acrylamide (AAm) form an interpenetrating double network glycerol water solvent. Extensive hydrogen bonding between eTPU P(AMPS‐ co ‐AAm) yields (≈200 µm) synergetic deformation energy dissipation upon stretching, leading record‐high stretchability up 920%, fracture toughness 20.14 MJ m −3 , 10 000 J −2 robustness over 4000 notched stretching cylcles 50% strain. The binary glycerol/water solvent imparts excellent anti‐dehydration at room temperature d, stable sensory performance −20 60 °C. With high vapor transmission rate 1.3 kg d −1 the ensures comfortable skin continuous knee flexion throughout day signals. These are promising wearable applications.

Language: Английский

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Harnessing conversion bridge strategy by organic semiconductor in polymer matrix memristors for high‐performance multi‐modal neuromorphic signal processing

InfoMat, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 5, 2025

Abstract Organic memristors, integrating chemically designed resistive switching and mechanical flexibility, present promising hardware opportunities for neuromorphic computing, particularly in the development of next‐generation wearable artificial intelligence devices. However, challenges persist achieving high yield, controllable switching, multi‐modal information processing. In this study, we introduce an efficient distribution conversion bridges (EDCB) strategy by dispersing organic semiconductor (poly[2,5‐bis(3‐tetradecylthiophen‐2‐yl)thieno[3,2‐b]thiophene], PBTTT) elastomer (polystyrene‐ block ‐poly(ethylene‐ran‐butylene)‐ ‐polystyrene, SEBS). This innovative approach results memristors with exceptional stretchability, reliable performance. By fine‐tuning content, shift primary charge carriers from ions to electrons, realizing modulable non‐volatile, volatile duo‐mode memristors. advancement enables signal processing at distinct operational mechanisms—non‐volatile mode image recognition convolutional neural networks (CNNs) dynamic classification prediction reservoir computing (RC). A fully analog RC system is further demonstrated non‐volatile modes EDCB‐based memristor into neuron network linear regression layer respectively, accuracy online arrhythmia detection tasks. Our work paves way high‐yield advancing multi‐mode within a unified functionalities.

Language: Английский

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