Materials Today Physics, Год журнала: 2024, Номер 49, С. 101588 - 101588
Опубликована: Ноя. 17, 2024
Язык: Английский
Materials Today Physics, Год журнала: 2025, Номер unknown, С. 101681 - 101681
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
4
Chemical Engineering Journal, Год журнала: 2025, Номер unknown, С. 159925 - 159925
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
3
ACS Applied Materials & Interfaces, Год журнала: 2024, Номер 16(25), С. 32466 - 32480
Опубликована: Июнь 12, 2024
Multimodal flexible sensors, consisting of multiple sensing units, can sense and recognize different external stimuli by outputting types response signals. However, the recovery recycling multimodal sensors are impeded complex structures use materials. Here, a bimodal sensor that strain resistance change temperature voltage was constructed using poly(vinyl alcohol) hydrogel as matrix poly(3,4-ethylenedioxythiophene)/poly(styrenesulfonate) (PEDOT:PSS) material due to its conductivity thermoelectric effect. The plasticity hydrogels, along with simplicity sensor's components structure, facilitates easy recycling. incorporation citric acid ethylene glycol improved mechanical properties, hysteresis, antifreezing properties hydrogels. exhibits remarkable strain, characterized high sensitivity (gauge factor 4.46), low detection limit (0.1%), fast times, minimal excellent stability. Temperature changes induced hot air currents, objects, light cause exhibit sensitivity, time, good Additionally, variations in ambient humidity minimally affect response, remains unaffected changes. recycled essentially unchanged for temperature. Finally, applied monitor body motion, robots stimuli.
Язык: Английский
Процитировано
10
Nano Energy, Год журнала: 2025, Номер unknown, С. 110722 - 110722
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
2
Materials, Год журнала: 2024, Номер 17(5), С. 1088 - 1088
Опубликована: Фев. 27, 2024
From 1990 to 2024, this study presents a groundbreaking bibliometric and sentiment analysis of nanocomposite literature, distinguishing itself from existing reviews through its unique computational methodology. Developed by our research group, novel approach systematically investigates the evolution nanocomposites, focusing on microstructural characterization, electrical properties, mechanical behaviors. By deploying advanced Boolean search strategies within Scopus database, we achieve meticulous extraction in-depth exploration thematic content, methodological advancement in field. Our uniquely identifies critical trends insights concerning microstructure, attributes, performance. The paper goes beyond traditional textual analytics evaluation, offering new interpretations data highlighting significant collaborative efforts influential studies domain. findings uncover language, shifts, global contributions, providing distinct comprehensive view dynamic research. A component is “State-of-the-Art Gaps Extracted Results Discussions” section, which delves into latest advancements This section details various types their properties introduces applications, especially films. tracing historical progress identifying emerging trends, emphasizes significance collaboration molding Moreover, “Literature Review Guided Artificial Intelligence” showcases an innovative AI-guided research, first Focusing articles 2023, selected based citation frequency, method offers perspective interplay between nanocomposites properties. It highlights composition, structure, functionality systems, integrating recent for overview current knowledge. analysis, with average score 0.638771, reflects positive trend academic discourse increasing recognition potential nanocomposites. another novelty, maps intellectual domain, emphasizing pivotal themes influence crosslinking time attributes. While acknowledging limitations, exemplifies indispensable role tools synthesizing understanding extensive body literature. work not only elucidates prevailing but also contributes insights, enhancing
Язык: Английский
Процитировано
8
Nano Energy, Год журнала: 2024, Номер 129, С. 110012 - 110012
Опубликована: Июль 25, 2024
Язык: Английский
Процитировано
7
Advanced Functional Materials, Год журнала: 2024, Номер unknown
Опубликована: Дек. 23, 2024
Abstract The rapid development of thermoelectric‐piezoresistive dual‐mode sensors has opened new avenues for enhancing the functionality, miniaturization, and integration flexible tactile sensors. However, existing research primarily focuses on decoupling temperature pressure responses, which leaves a significant gap in optimizing sensor performance exploring multifunctional applications. To address this limitation, composite aerogel with layered porous structure is developed, integrating carbon nanotubes MXene as conductive materials reinforced cellulose nanofibers. innovative design, characterized by ultra‐low thermal conductivity along superior electrical thermoelectric properties, allows resulting to monitor stimuli without interference through piezoresistive mechanisms. Demonstrated results reveal exceptional sensing capabilities, including minimum detectable variation 0.03 K detection limit 0.3 Pa. exhibits high sensitivities 33.5 µV −1 −45.2% kPa , stability across both stimuli. Furthermore, unique multi‐modal mechanism supports various applications, such energy harvesting, material recognition, complex information transmission, smart wearable devices, electronic skin, human‐computer interaction interfaces. This presents robust solution designing high‐performance dual‐modal significantly advances their practical applications multiple domains.
Язык: Английский
Процитировано
7
Zeitschrift für anorganische und allgemeine Chemie, Год журнала: 2024, Номер 650(13-14)
Опубликована: Май 11, 2024
Abstract Hydrogel flexible sensors are widely used in wearable devices, health care, intelligent robots and other fields due to their excellent flexibility, biocompatibility high sensitivity. With the development of single sensor multi‐channel multi‐mode network, data also presents characteristics multi‐dimension, complex massive. Traditional analysis methods can no longer meet requirements hydrogel networks. The introduction machine learning (ML) technology optimizes process analysis. continuous multi‐layer neural network improvement computer performance, deep (DL) algorithm is increasingly achieve higher efficiency accuracy, provides a powerful tool for sensor, accelerates equipment. This paper introduces classification working mechanism common algorithms ML, summarizes application ML assist care information recognition. review will provide inspiration reference integrating into field sensors.
Язык: Английский
Процитировано
4
Journal of Colloid and Interface Science, Год журнала: 2024, Номер 680, С. 832 - 844
Опубликована: Ноя. 13, 2024
Язык: Английский
Процитировано
4
Advanced Science, Год журнала: 2024, Номер unknown
Опубликована: Сен. 9, 2024
Abstract Humans recognize and manipulate objects relying on the multidimensional force features captured by tactile sense of skin during manipulation. Since current sensors integrated in robots cannot support to multiple interaction states between manipulator objects, achieving human‐like perception analytical capabilities remains a major challenge for service robots. Prompted involved performing complex tasks, multimodal sensory system is presented provide situ simultaneous sensing when approaching, touching, manipulating objects. The comprises capacitive sensor owning high sensitivity 1.11E‐2 pF mm −1 , triboelectricity nanogenerator with fast response speed 30 ms, pressure array capable 3D detection. By Combining transfer learning models, which fuses information achieve high‐precision (up 95%) recognition multi‐featured targets such as random hardness texture under sampling conditions, including grasp velocity. This expected enhance intelligent behavior‐planning autonomous tasks undefined surrounding environments.
Язык: Английский
Процитировано
3