Materials Today Physics, Journal Year: 2024, Volume and Issue: 49, P. 101588 - 101588
Published: Nov. 17, 2024
Language: Английский
Chemical Engineering Journal, Journal Year: 2025, Volume and Issue: unknown, P. 159925 - 159925
Published: Jan. 1, 2025
Language: Английский
Citations
3
Nano Energy, Journal Year: 2025, Volume and Issue: unknown, P. 110722 - 110722
Published: Jan. 1, 2025
Language: Английский
Citations
2
Materials Today Physics, Journal Year: 2025, Volume and Issue: unknown, P. 101681 - 101681
Published: Feb. 1, 2025
Language: Английский
Citations
2
ACS Applied Materials & Interfaces, Journal Year: 2024, Volume and Issue: 16(25), P. 32466 - 32480
Published: June 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.
Language: Английский
Citations
9
Materials, Journal Year: 2024, Volume and Issue: 17(5), P. 1088 - 1088
Published: Feb. 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
Language: Английский
Citations
7
Nano Energy, Journal Year: 2024, Volume and Issue: 129, P. 110012 - 110012
Published: July 25, 2024
Language: Английский
Citations
7
Advanced Functional Materials, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 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.
Language: Английский
Citations
6
Zeitschrift für anorganische und allgemeine Chemie, Journal Year: 2024, Volume and Issue: 650(13-14)
Published: May 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.
Language: Английский
Citations
4
Journal of Colloid and Interface Science, Journal Year: 2024, Volume and Issue: 680, P. 832 - 844
Published: Nov. 13, 2024
Language: Английский
Citations
4
Materials Today, Journal Year: 2025, Volume and Issue: unknown
Published: April 1, 2025
Language: Английский
Citations
0