Chemical Engineering Journal, Год журнала: 2025, Номер unknown, С. 160736 - 160736
Опубликована: Фев. 1, 2025
Язык: Английский
Desalination, Год журнала: 2023, Номер 570, С. 117064 - 117064
Опубликована: Окт. 17, 2023
Язык: Английский
Процитировано
29
Particuology, Год журнала: 2023, Номер 83, С. 212 - 231
Опубликована: Июнь 16, 2023
As one of the most rapidly expanding materials, hydrogels have gained increasing attention in a variety fields due to their biocompatibility, degradability and hydrophilic properties, as well remarkable adhesion stretchability adapt different surfaces. Hydrogels combined with carbon-based materials possess enhanced properties new functionalities, particular, conductive become area research field science. This review aims provide comprehensive overview up-to-date examination recent developments synthesis, applications incorporating several typical carbon nanoparticles such nanotubes, graphene, dots nanofibers. We summarize key techniques mechanisms for synthesizing various composite exceptional represented wearable sensors, temperature supercapacitors human-computer interaction reported recently. The mechanical, electrical sensing are thoroughly analyzed disclose role these factors microstructure. Finally, future development based on is discussed including challenges possible solutions terms microstructure optimization, mechanical other promising electronics multifunctional materials.
Язык: Английский
Процитировано
28
Nano Letters, Год журнала: 2024, Номер 24(17), С. 5351 - 5360
Опубликована: Апрель 18, 2024
Ultrasensitive and reliable conductive hydrogels are significant in the construction of human–machine twinning systems. However, extremely cold environments, freezing severely limits application hydrogel-based sensors. Herein, building on biomimetics, a zwitterionic hydrogel was elaborated for interaction employing multichemical bonding synergies experimental signal analyses. The covalent bonds, hydrogen electrostatic interactions construct dense double network structure favorable stress dispersion bond regeneration. In particular, zwitterions ionic conductors maintained excellent strain response (99 ms) electrical sensitivity (gauge factor = 14.52) while immobilizing water molecules to enhance weather resistance (−68 °C). Inspired by high sensitivity, sensors remote-control gloves were designed analyzing signals, demonstrating promising potential applications within specialized flexible materials symbiotic
Язык: Английский
Процитировано
18
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
Процитировано
16
Advanced Materials Technologies, Год журнала: 2024, Номер 9(7)
Опубликована: Фев. 6, 2024
Abstract Triboelectric nanogenerator (TENG) has become a promising candidate for wearable energy harvesting and self‐powered sensing systems. However, processing large amounts of data imposes computing power barrier practical application. Machine learning‐assisted sensors based on TENG have been widely used in data‐driven applications due to their excellent characteristics such as no additional supply, high accuracy, low cost, good biocompatibility. This work comprehensively reviews the latest progress machine learning (ML)‐assisted TENG‐based sensors. The future challenges opportunities are discussed. First, fundamental principles including working mode ML‐assisted sensor common algorithms systematically illustrated, which emphasizes algorithm definition principle. Subsequently, ML methods field is further reviewed, summarizing advantages disadvantages various examples, providing guidance suggestions how choose appropriate methods. Finally, prospects summarized. Directions important insights development AI integration provided.
Язык: Английский
Процитировано
12
Journal of Materials Chemistry B, Год журнала: 2024, Номер 12(12), С. 3092 - 3102
Опубликована: Янв. 1, 2024
Conductive hydrogel sensors have attracted attention for use in human motion monitoring detection, but integrating excellent biocompatibility, mechanical, self-adhesive, and self-healing properties, high sensitivity into a remains challenge.
Язык: Английский
Процитировано
12
Chemical Engineering Journal, Год журнала: 2024, Номер 495, С. 153382 - 153382
Опубликована: Июнь 21, 2024
Язык: Английский
Процитировано
12
Nano Energy, Год журнала: 2024, Номер 123, С. 109350 - 109350
Опубликована: Фев. 1, 2024
Язык: Английский
Процитировано
10
Chemical Engineering Journal, Год журнала: 2024, Номер 488, С. 150982 - 150982
Опубликована: Апрель 4, 2024
Язык: Английский
Процитировано
10
Materials Chemistry Frontiers, Год журнала: 2024, Номер unknown
Опубликована: Янв. 1, 2024
This review summarizes the properties of stretchable hydrogels and their optimization for TENGs in on-skin electronics, highlighting applications addressing challenges related to durability user comfort.
Язык: Английский
Процитировано
10