High sensitivity, wide range and waterproof strain sensor with inner surface sensing layer for motion detection and gesture reconstruction

Sensors and Actuators A Physical, Год журнала: 2024, Номер 369, С. 115202 - 115202

Опубликована: Фев. 22, 2024

Язык: Английский

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Dual–network carboxymethyl chitosan conductive hydrogels for multifunctional sensors and high–performance triboelectric nanogenerators

Carbohydrate Polymers, Год журнала: 2024, Номер 333, С. 121960 - 121960

Опубликована: Фев. 18, 2024

Язык: Английский

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Multifunctional Nano‐Conductive Hydrogels With High Mechanical Strength, Toughness and Fatigue Resistance as Self‐Powered Wearable Sensors and Deep Learning‐Assisted Recognition System

Advanced Functional Materials, Год журнала: 2024, Номер unknown

Опубликована: Сен. 20, 2024

Abstract High mechanical strength, toughness, and fatigue resistance are essential to improve the reliability of conductive hydrogels for self‐powered sensing. However, achieving mutually exclusive properties simultaneously remains challenging. Hence, a novel directed interlocking strategy based on topological network structure training is proposed construct tough by optimizing modulating orientation molecular chains. Combining Zn 2+ crosslinked cellulose nanofibers (CNFs) polyacrylamide‐poly(vinyl alcohol) double‐network, unique interlocked‐network exhibits an enhanced toughening effect due hydrogen bonding metal‐ligand interactions. The aligned nanocrystalline domains achieved further contribute increase in toughness thresholds. This innovative approach synergistically enhances nano‐conductive hydrogel, maximum tensile strength 4.98 MPa 48 MJ m −3 . Notably, CNFs template with anchored polyaniline, when oriented through training, forms directional pathway, which significantly power output performance. Besides, motion recognition system sensing device designed assistance deep learning techniques accurately identify human behaviors. work showcases potentially transformative flexible electronic material systems intelligent systems.

Язык: Английский

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Cellulose-based green triboelectric nanogenerators: materials, form designs, and applications

Journal of Materials Chemistry A, Год журнала: 2024, Номер 12(16), С. 9322 - 9344

Опубликована: Янв. 1, 2024

Due to the boom in flexible and wearable electronics, eco-friendly low-cost energy conversion devices are urgently needed.

Язык: Английский

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Hexagonal boron nitride composite film based triboelectric nanogenerator for energy harvesting and machine learning assisted handwriting recognition

Nano Energy, Год журнала: 2025, Номер unknown, С. 110689 - 110689

Опубликована: Янв. 1, 2025

Язык: Английский

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Porous Polymer Materials in Triboelectric Nanogenerators: A Review

Polymers, Год журнала: 2023, Номер 15(22), С. 4383 - 4383

Опубликована: Ноя. 11, 2023

Since the invention of triboelectric nanogenerator (TENG), porous polymer materials (PPMs), with different geometries and topologies, have been utilized to enhance output performance expand functionality TENGs. In this review, basic characteristics preparation methods various PPMs are introduced, along their applications in TENGs on basis roles as electrodes, surfaces, structural materials. According pore size dimensionality, types that built hydrogels, aerogels, foams, fibrous media classified advantages disadvantages analyzed. To deepen understanding future development trend, intelligent multifunctional human–machine interfaces, smart wearable devices, self-powering sensors introduced. Finally, directions challenges explored provide possible guidance TENG-based devices systems.

Язык: Английский

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Synergizing Machine Learning Algorithm with Triboelectric Nanogenerators for Advanced Self-Powered Sensing Systems

Nanomaterials, Год журнала: 2024, Номер 14(2), С. 165 - 165

Опубликована: Янв. 12, 2024

The advancement of the Internet Things (IoT) has increased demand for large-scale intelligent sensing systems. periodic replacement power sources ubiquitous systems leads to significant resource waste and environmental pollution. Human staffing costs associated with also increase economic burden. triboelectric nanogenerators (TENGs) provide both an energy harvesting scheme possibility self-powered sensing. Based on contact electrification from different materials, TENGs a rich material selection collect complex diverse data. As data collected by become increasingly numerous complex, approaches machine learning (ML) deep (DL) algorithms have been proposed efficiently process output signals. In this paper, latest advances in ML assisting solid-solid TENG liquid-solid sensors are reviewed based sample size complexity pros cons various analyzed application scenarios presented. prospects synergizing hardware (TENG sensors) software (ML algorithms) environment their main challenges future developments discussed.

Язык: Английский

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Hydrogel-based flexible degradable triboelectric nanogenerators for human activity recognition

Sustainable materials and technologies, Год журнала: 2024, Номер 40, С. e00967 - e00967

Опубликована: Май 8, 2024

Язык: Английский

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Recent advances in flexible hydrogel sensors: Enhancing data processing and machine learning for intelligent perception

Biosensors and Bioelectronics, Год журнала: 2024, Номер 261, С. 116499 - 116499

Опубликована: Июнь 17, 2024

Язык: Английский

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Fluorescent hydrogel with high toughness response based on lanthanide Metals: Material Adhesion, multicolor Modulation, information encryption

Chemical Engineering Journal, Год журнала: 2024, Номер 489, С. 151303 - 151303

Опубликована: Апрель 15, 2024

Язык: Английский

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