Nano Energy, Год журнала: 2024, Номер 131, С. 110253 - 110253
Опубликована: Сен. 10, 2024
Язык: Английский
Advanced Materials Technologies, Год журнала: 2024, Номер unknown
Опубликована: Авг. 3, 2024
Abstract The development of the Internet Things (IoT) indicates that humankind has entered a new intelligent era “Internet Everything”. Thanks to characteristics low‐cost, diverse structure, and high energy conversion efficiency, self‐powered sensing systems, which are based on Triboelectric Nanogenerator (TENG), demonstrate great potential in field IoT. In order solve challenges TENG signal processing, such as noise nonlinear relations, Machine Learning (ML), is an efficient mature data processing tool, widely applied for efficiently large complex output generated by system. This review summarizes analyzes adaptation different algorithms their advantages disadvantages at beginning, provides reference selection TENG. More importantly, application introduced multiple scenarios, including health monitoring, fault detection, human‐computer interaction. Finally, limitations trend integration ML proposed classification promote future IoT era.
Язык: Английский
Процитировано
16
Advanced Science, Год журнала: 2024, Номер 11(28)
Опубликована: Май 15, 2024
Abstract Laser‐induced graphene (LIG) technology has provided a new manufacturing strategy for the rapid and scalable assembling of triboelectric nanogenerators (TENG). However, current LIG‐based TENG commonly rely on polymer films, e.g., polyimide (PI) as both friction material carbon precursor electrodes, which limit structural diversity performance escalation due to its incapability folding creasing. Using specialized PI paper composed randomly distributed fibers substantially enhance foldability, this work creates type TENG, are structurally foldable stackable, tailorable. First, by systematically investigating laser power‐regulated single‐unit open‐circuit voltage can be effectively improved. By further exploiting process, multiple units assembled together form multi‐layered structures continuously expand from 5.3 34.4 V cm −2 , increase 1 16. Last, fully utilizing unique structure performance, representative energy‐harvesting smart‐sensing applications demonstrated, including smart shoe recognize running motions power LEDs, leaf thermometer wind, matrix sensor writing trajectories, well glove different objects.
Язык: Английский
Процитировано
15
Advanced Science, Год журнала: 2024, Номер unknown
Опубликована: Июль 9, 2024
Abstract Triboelectric nanogenerators (TENGs) have become reliable green energy harvesters by converting biomechanical motions into electricity. However, the inevitable charge leakage and poor electric field (EF) of conventional TENG result in inferior tribo‐charge density on active layer. In this paper, TiO 2 ‐MXene incorporated polystyrene (PS) nanofiber membrane (PTMx NFM) trapping interlayer is introduced single electrode mode (S‐TENG) to prevent electron loss at interface. Surprisingly, charge‐trapping mechanism augments surface output performance TENGs. Polyvinylidene difluoride (PVDF) mixed polyurethane (PU) NFM used as tribo‐active layer, which improves crystallinity mechanical property PVDF delamination during long cycle tests. Herein, effect double‐layer capacitive model explained experimentally theoretically. With optimization PTMx thickness, S‐TENG exhibits a maximum open‐circuit voltage (280 V), short‐circuit current (20 µA) transfer (120 nC), power (25.2 µW cm −2 ). Then, utilized electrical appliances. addition, influence AC/DC EF simulation wound healing management (vitro L929 cell migration, vivo tissue regeneration) also investigated changing polarity trans‐epithelial potential (TEP) distribution wounded area.
Язык: Английский
Процитировано
14
Nano Energy, Год журнала: 2024, Номер 130, С. 110092 - 110092
Опубликована: Авг. 4, 2024
Язык: Английский
Процитировано
11
Nano Energy, Год журнала: 2024, Номер 131, С. 110253 - 110253
Опубликована: Сен. 10, 2024
Язык: Английский
Процитировано
10