Strain-insensitive Stretchable Triboelectric Tactile Sensors via Interfacial Stress Dispersion DOI
Liming Zhang,

Zhenqiu Gao,

Lei Hao

et al.

Nano Energy, Journal Year: 2024, Volume and Issue: 133, P. 110482 - 110482

Published: Nov. 16, 2024

Language: Английский

MXene nanomaterials: Synthesis, properties and applications in energy and environment sector DOI
Sami Ullah, Tayyaba Najam, Aziz ur Rehman

et al.

Journal of Alloys and Compounds, Journal Year: 2024, Volume and Issue: 1001, P. 175172 - 175172

Published: June 12, 2024

Language: Английский

Citations

23

Skin-inspired interlocked microstructures with soft-hard synergistic effect for high-sensitivity and wide-linear-range pressure sensing DOI

Shiwen Tu,

Yangbin Xi,

Xihua Cui

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 496, P. 154083 - 154083

Published: July 17, 2024

Language: Английский

Citations

14

Next generation MXene based materials for Electrochemical Sensor: A critical review DOI
Sultan Ullah, Muhammad Altaf Nazir,

Muhammad Adnan Saeed

et al.

Journal of Molecular Structure, Journal Year: 2024, Volume and Issue: 1321, P. 139830 - 139830

Published: Aug. 28, 2024

Language: Английский

Citations

12

Recent Advances in Graphene-Based Pressure Sensors: A Review DOI
Zhe Zhang, Quan Liu,

Hongliang Ma

et al.

IEEE Sensors Journal, Journal Year: 2024, Volume and Issue: 24(16), P. 25227 - 25248

Published: Aug. 15, 2024

In recent years, pressure sensors have been widely used as crucial technology components in industrial, healthcare, consumer electronics, and automotive safety applications. With the development of intelligent technologies, there is a growing demand for with higher sensitivity, smaller size, wider detection range. Graphene its derivatives, novel emerging materials received widespread attention from researchers due to their unique mechanical electrical properties, are considered promising sensing high-performance sensors. general, graphene-based can be classified into flexible gas this paper, we firstly introduce basic properties graphene derivatives then review research progress both respectively, focusing on different mechanisms. Finally, application prospects well future challenges discussed.

Language: Английский

Citations

9

The ultra-sensitive flexible pressure sensor based on hierarchical micro-wrinkle/pyramid structure for underwater perturbation monitoring DOI

Runbin Cao,

Fan Chang,

Qihe Peng

et al.

Composites Communications, Journal Year: 2025, Volume and Issue: unknown, P. 102312 - 102312

Published: Feb. 1, 2025

Language: Английский

Citations

1

In-situ graft fibrous PPy@PEI enables sensitive and all-seasoned crack monitoring for ancient architectures based on flexible pressure sensors DOI
Kaifeng Chen,

Tongle Bao,

Hua Yang

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 491, P. 151746 - 151746

Published: April 28, 2024

Language: Английский

Citations

7

Polymer-based flexible piezoresistive pressure sensors based on various micro/nanostructures array DOI

Xuanjie Zong,

Nianqiang Zhang,

Xiaopeng Ma

et al.

Composites Part A Applied Science and Manufacturing, Journal Year: 2024, Volume and Issue: 190, P. 108648 - 108648

Published: Dec. 9, 2024

Language: Английский

Citations

6

Regulating the microstructure and hydrophilicity of cellulose nanofibers using taurine and the application in humidity sensor and actuator DOI
Zhimao Li,

Kaixu Song,

Qian Wu

et al.

Chemical Engineering Journal, Journal Year: 2024, Volume and Issue: 498, P. 154923 - 154923

Published: Aug. 17, 2024

Language: Английский

Citations

5

Self‐Powered and 3D Printable Soft Sensor for Human Health Monitoring, Object Recognition, and Contactless Hand Gesture Recognition DOI

Jingzhi Tang,

Kai Gou,

Chong Wang

et al.

Advanced Functional Materials, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 24, 2024

Abstract A new galvanic cell design of a self‐powered and 3D‐printable soft sensor showing health monitoring, object recognition, contactless hand gesture is reported. The consists 3D‐printed poly(acrylic acid) (PAA) hydrogel electrolyte layer, anode cathode layer. layer Cu 2+ cross‐linked poly( N , ‐dimethylacrylamide‐ co ‐3‐alanine‐2‐hydroxypropylmethacrylate) (PDA) dispersed with metal particles (PDA/Cu /Cu hydrogel), while the bottom thin PAA containing MnO 2 (PAA/MnO ). Using graphite films as electrodes, finally assembled. has high force temperature sensitivities. It gives different electric current responses under stretching, bending, pressing, impact loading. demonstrated to be useful in detecting human motion physiological activities, e.g., breath. Based on sensitivities, used recognize gestures plastic balls diameters. This 3D printable self‐powering, capturing, multi‐pimulus sensing capabilities illustrates pathway make sensory devices for healthcare human‐machine interaction applications.

Language: Английский

Citations

4

Smart Driving Hardware Augmentation by Flexible Piezoresistive Sensor Matrices with Grafted‐on Anticreep Composites DOI Creative Commons
Kaifeng Chen, Hua Yang,

Ang Wang

et al.

Advanced Science, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 25, 2024

Abstract Signal drift and hysteresis of flexible piezoresistive sensors pose significant challenges against the widespread applications in emerging fields such as electronic skin, wearable equipment for metaverse human‐AI (artificial intelligence) interfaces. To address creep relaxation issues associated with pressure‐sensitive materials, a highly stable composite is proposed, using polyamide‐imide (PAI) fibers matrix situ grafted‐polymerized polyaniline (PANI) semi‐conducting layer. The PAI large rigid fluorenylidene groups exhibits high glass transition temperature 372 °C (PAI 5‐5), which results an extremely long time at room consequently offers outstanding anti‐creep/relaxation performances. enhancement PAI‐PANI interfacial bonding through grafting improves sensor reliably. presents linear sensitivity 35.3 kPa −1 over pressure range 0.2–20 kPa, repeatability, excellent dynamic stability only 3.8% signal deviation ≈10 000 cycles. Real‐time visualization distribution realized by matrices, demonstrate capability tactile gesture recognition on both flat curved surfaces. sitting postures achieved two 12 × matrices facilitated machine learning, prompts potential augmentation smart driving.

Language: Английский

Citations

4